To make the interface design of computer application system better, meet the psychological and emotional needs of users, and be more humanized, the emotional factor is increasingly valued by interface designers. In the design of human-computer interaction graphical interfaces, the designer attaches great importance to the emotional design of the interface, and enhances the humanized design of the interface, which cannot only improve the comfort of the interface, but also improve the fun of the interface, to (...) ensure the psychological and emotional needs of users can be better satisfied. It may acquire information that is favorable to innovative design by utilizing cluster analysis algorithm to tackle the problem of complicated cultural information, and then utilize cellular genetic algorithm to carry out creative design of cultural items. It increases the availability of cultural and creative goods. The classic cluster analysis technique offers the maximum data clustering effect of 53.3%, according to the findings of this paper’s experiments. While the improved cluster analysis algorithm has the highest data clustering effect of 90%. It can be seen that the improved cluster analysis algorithm can effectively perform cluster analysis on a large amount of data in cultural and creative products. It thus finds out the most suitable designer’s creative information, which helps designers create better products. (shrink)

Under the wave of globalization, the ties between countries are getting closer and closer. Based on the differences in the languages of different countries, the importance of English as a universal language is becoming more and more prominent. In the past, English teaching was mainly taught by teachers and students. This mode of English learning is more of theoretical teaching, which has little effect on improving English ability. In the era of intelligence, with the upgrading of technology and the renewal (...) of ideas, interactive English teaching is more accepted by people and becomes a new solution for English teaching. Studying English teaching from the perspective of social cognition, this paper proposes to realize human-computer interaction with the help of advanced science and technology, create an interactive teaching environment, and realize interactive learning in an English environment. This paper designed a control experiment of the experimental group and the control group to verify the impact of human-computer interaction teaching on students’ English performance and investigated students’ performance and teachers’ feelings and their related opinions on human-computer interaction learning. The experimental results of this paper show that human-computer interactive English teaching can help to enhance students’ interest in English learning and improve English expression significantly. (shrink)

Philosophical and sociological approaches in technology have increasingly shifted toward describing AI (artificial intelligence) systems as ‘(moral) agents,’ while also attributing ‘agency’ to them. It is only in this way – so their principal argument goes – that the effects of technological components in a complex human-computer interaction can be understood sufficiently in phenomenological-descriptive and ethical-normative respects. By contrast, this article aims to demonstrate that an explanatory model only achieves a descriptively and normatively satisfactory result if the (...) concepts of ‘(moral) agent’ and ‘(moral) agency’ are exclusively related to human agents. Initially, the division between symbolic and sub-symbolic AI, the black box character of (deep) machine learning, and the complex relationship network in the provision and application of machine learning are outlined. Next, the ontological and action-theoretical basic assumptions of an ‘agency’ attribution regarding both the current teleology-naturalism debate and the explanatory model of actor network theory are examined. On this basis, the technical-philosophical approaches of Luciano Floridi, Deborah G. Johnson, and Peter-Paul Verbeek will all be critically discussed. Despite their different approaches, they tend to fully integrate computational behavior into their concept of ‘(moral) agency.’ By contrast, this essay recommends distinguishing conceptually between the different entities, causalities, and relationships in a human-computer interaction, arguing that this is the only way to do justice to both human responsibility and the moral significance and causality of computational behavior. (shrink)

Anthropomorphism is to the tendency to attribute human characteristics, emotions, and intentions to nonhuman entities. Originally, this concept was discussed regarding living organisms such as animals and supernatural objects of faith. However, as the frequency of communication between humans and computers (and information technology in general, including robots and AI) has increased dramatically, anthropomorphism has become an important subject of research as an interface to improve the relationship between computers and humans and to facilitate communication. This study provides an (...) overview of academic research on the topic of anthropomorphism through a systematic review and discusses the use of anthropomorphism research, especially ethical issues the field of human-computer interaction, specifically, AI, robot and business. (shrink)

RESUMO A série Black Mirror, transmitida entre 2011 e 2023 pela Netflix, tornou-se um fenômeno de mídia e seus episódios mostraram formas de interação homem-máquina (terminologia também referida como humano-computador). O nome da série se refere ao fato de que, quando uma tela é desligada, ela se torna um espelho negro que reflete a imagem do usuário. Este artigo1 tem como objetivo analisar os efeitos da interação homem-máquina nas organizações produtivas apresentadas em Black Mirror. Esta pesquisa utilizou a análise do (...) discurso, principalmente a partir das contribuições de Mikhail Bakhtin. O método consistiu em três etapas que contaram com a colaboração de estudantes de graduação e pós-graduação em Engenharia de Produção, integrando ensino e pesquisa e desenvolvendo o senso crítico dos pesquisadores-iniciantes. Os resultados indicam que, nas organizações apresentadas na série Black Mirror, há uma transição do conceito de fatores humanos para fatores ciborgues, bem como o uso da interação homem-máquina para promover o controle social. (shrink)

This paper analyzes epistemological and ontological dimensions of Human-Computer Interaction (HCI) through an analysis of the functions of computer systems in relation to their users. It is argued that the primary relation between humans and computer systems has historically been epistemic: computers are used as information-processing and problem-solving tools that extend human cognition, thereby creating hybrid cognitive systems consisting of a human processor and an artificial processor that process information in tandem. In this (...) role, computer systems extend human cognition. Next, it is argued that in recent years, the epistemic relation between humans and computers has been supplemented by an ontic relation. Current computer systems are able to simulate virtual and social environments that extend the interactive possibilities found in the physical environment. This type of relationship is primarily ontic, and extends to objects and places that have a virtual ontology. Increasingly, computers are not just information devices, but portals to worlds that we inhabit. The aforementioned epistemic and ontic relationships are unique to information technology and distinguish human-computer relationships from other human-technology relationships. (shrink)

Just as AI has moved away from classical AI, human-computer interaction (HCI) must move away from what I call ‘good old fashioned HCI’ to ‘new HCI’ – it must become a part of cognitive systems research where HCI is one case of the interaction of intelligent agents (we now know that interaction is essential for intelligent agents anyway). For such interaction, we cannot just ‘analyze the data’, but we must assume intentions in the other, (...) and I suggest these are largely recognized through resistance to carrying out one’s own intentions. This does not require fully cognitive agents but can start at a very basic level. New HCI integrates into cognitive systems research and designs intentional systems that provide resistance to the human agent. (shrink)

In order to solve the problem of unsmooth and inefficient human-computer interaction process in the information age, a method for human-computer interaction intention prediction based on electroencephalograph signals and eye movement signals is proposed. This approach is different from previous methods where researchers predict using data from human-computer interaction and a single physiological signal. This method uses the eye movements and EEG signals that clearly characterized the interaction intention as the (...) prediction basis. In addition, this approach is not only tested with multiple human-computer interaction intentions, but also takes into account the operator in different cognitive states. The experimental results show that this method has some advantages over the methods proposed by other researchers. In Experiment 1, using the eye movement signal fixation point abscissa Position X, fixation point ordinate Position Y, and saccade amplitude to judge the interaction intention, the accuracy reached 92%, In experiment 2, only relying on the pupil diameter, pupil size and fixed time, fixed time of eye movement signals can not achieve higher accuracy of the operator’s cognitive state, so EEG signals are added. The cognitive state was identified separately by combining the screened EEG parameters Rα/β with the eye movement signal pupil diameter and fixation time, with an accuracy of 91.67%. The experimental combination of eye movement and EEG signal features can be used to predict the operator’s interaction intention and cognitive state. (shrink)

We are quickly passing through the historical moment when people work in front of a single computer, dominated by a small CRT and focused on tasks involving only local information. Networked computers are becoming ubiquitous and are playing increasingly significant roles in our lives and in the basic infrastructure of science, business, and social interaction. For human-computer interaction o advance in the new millennium we need to better understand the emerging dynamic of interaction in (...) which the focus task is no longer confined to the desktop but reaches into a complex networked world of information and computer-mediated interactions. We think the theory of distributed cognition has a special role to play in understanding interactions between people and technologies, for its focus has always been on whole environments: what we really do in them and how we coordinate our activity in them. Distributed cognition provides a radical reorientation of how to think about designing and supporting human-computer interaction. As a theory it is specifically tailored to understanding interactions among people and technologies. In this article we propose distributed cognition as a new foundation for human-computer interaction, sketch an integrated research framework, and use selections from our earlier work to suggest how this framework can provide new opportunities in the design of digital work materials. (shrink)

Human-computer interaction today has got a touch of magic: Without understanding the causal coherence, using a computer seems to become the art to use the right spell with the mouse as the magic wand — the sorcerer's staff. Goethes's poem admits an allegoric interpretation. We explicate the analogy between using a computer and casting a spell with emphasis on teaching magic skills. The art to create an ergonomic user interface has to take care of various (...) levels of skills for the human operators. The problem of logical discontinuities as opposed to continuous control is the most serious obstacle for human-computer interaction. (shrink)

We compared three types of auditory interface in personal computing environments: verbal messages, earcons, and auditory icons. We applied Peirce's sign theory to the three auditory interfaces to conceptualize verbal messages as “dicent symbol legisigns,” earcons as “dicent indexical legisigns,” and auditory icons as “remantic iconic sinsigns.” Based on theories of the triple triangle model for sign production (Kim, Semiotica 132: 75–100, 2000), we suggested that (a) the three auditory interfaces demand different levels of mental effort for interpretation and (b) (...) the extent to which users are able to interpret the auditory signs of a computer correctly correlates to the communicability of its interface. (shrink)

Virtual reality (VR) constitutes an alternative, effective, and increasingly utilized treatment option for people suffering from psychiatric and neurological illnesses. However, the currently available VR simulations provide a predetermined simulative framework that does not take into account the unique personality traits of each individual; this could result in inaccurate, extreme, or unpredictable responses driven by patients who may be overly exposed and in an abrupt manner to the predetermined stimuli, or result in indifferent, almost non-existing, reactions when the stimuli do (...) not affect the patients adequately and thus stronger stimuli are recommended. In this study, we present a VR system that can recognize the individual differences and readjust the VR scenarios during the simulation according to the treatment aims. To investigate and present this dynamically adaptive VR system we employ an Anxiety Disorder condition as a case study, namely arachnophobia. This system consists of distinct anxiety states, aiming to dynamically modify the VR environment in such a way that it can keep the individual within a controlled, and appropriate for the therapy needs, anxiety state, which will be called “desired states” for the study. This happens by adjusting the VR stimulus, in real-time, according to the electrophysiological responses of each individual. These electrophysiological responses are collected by an external electrodermal activity biosensor that serves as a tracker of physiological changes. Thirty-six diagnosed arachnophobic individuals participated in a one-session trial. Participants were divided into two groups, the Experimental Group which was exposed to the proposed real-time adaptive virtual simulation, and the Control Group which was exposed to a pre-recorded static virtual simulation as proposed in the literature. These results demonstrate the proposed system’s ability to continuously construct an updated and adapted virtual environment that keeps the users within the appropriately chosen state (higher or lower intensity) for approximately twice the time compared to the pre-recorded static virtual simulation. Thus, such a system can increase the efficiency of VR stimulations for the treatment of central nervous system dysfunctions, as it provides numerically more controlled sessions without unexpected variations. (shrink)

As a way of human-computer interaction, game-based assessment is more suitable for young children because it is situational, interesting, and effective. National identity is an important factor affecting the overall development of young children and the future development of a country, which has attracted extensive attention from researchers. Nevertheless, the assessment of young children's national identity is still based on traditional evaluation, including questionnaires and interviews, which have the limitations of being inaccurate, dull, and time-consuming. To understand (...) the characteristics of children's national identity, it is necessary to use scientific and interactive assessment methods. The present study investigated whether the game-based assessment we developed specifically would be an appropriate tool to measure young children's national identity. The results show that the game-based assessment had good item discrimination. Exploratory factor analysis demonstrated the game covered three aspects: national cognition mastery, national emotion engagement, and national behavior tendency. The confirmatory factor analysis suggested that the model with three factors fit the data well. The internal consistency, the split-half reliability, and the test-retest reliability meet standards. Overall, the results indicated that this game can be successfully used to assess young children's national identity with acceptable validity and reliability. Our study provides strong evidence for the use of human-computer interaction in child measurement. These findings are the first to demonstrate the promise of game-based assessment in assessing children's national identity reliably and effectively. (shrink)

A comprehensive framework is presented for the analysis or description of context in relation to human-computer communication, in a manner that is also consistent with the contextual analysis of interpersonal communication among humans. Following a discussion of the nature of context, a hierarchically structured framework is proposed, which distinguishes between those contextual factors that are intrinsic to the communication process and those extrinsic factors that are classed as situational. Both of these overall classes are subdivided into broader and (...) narrower categories, and the situational context is additionally analyzed in terms of physical and socio-cultural factors. Cognitive aspects of context are also included within the treatment, while allowing for the differences that exist between human and computer-based representations. Finally, the application of the framework to various aspects of human-computer communication is discussed, with a view to the resolution of attendant problems. (shrink)

We use speech shadowing to create situations wherein people converse in person with a human whose words are determined by a conversational agent computer program. Speech shadowing involves a person (the shadower) repeating vocal stimuli originating from a separate communication source in real-time. Humans shadowing for conversational agent sources (e.g., chat bots) become hybrid agents ("echoborgs") capable of face-to-face interlocution. We report three studies that investigated people’s experiences interacting with echoborgs and the extent to which echoborgs pass as (...) autonomous humans. First, participants in a Turing Test spoke with a chat bot via either a text interface or an echoborg. Human shadowing did not improve the chat bot’s chance of passing but did increase interrogators’ ratings of how human-like the chat bot seemed. In our second study, participants had to decide whether their interlocutor produced words generated by a chat bot or simply pretended to be one. Compared to those who engaged a text interface, participants who engaged an echoborg were more likely to perceive their interlocutor as pretending to be a chat bot. In our third study, participants were naïve to the fact that their interlocutor produced words generated by a chat bot. Unlike those who engaged a text interface, the vast majority of participants who engaged an echoborg neither sensed nor suspected a robotic interaction. These findings have implications for android science, the Turing Test paradigm, and human-computer interaction. The human body, as the delivery mechanism of communication, fundamentally alters the social psychological dynamics of interactions with machine intelligence. (shrink)

This work aims to solve the complex problems of non-linearity, instability, and multiple economic factors in the tax forecast of the ceramic industry to ensure the sustainable development of the ceramic industry. The key influential indicators of the tax forecast are obtained by analyzing the principal components affecting the tax index. In addition, a human-computer interaction system is established based on cognitive psychology theory to improve the user-friendliness of tax analysis. At the same time, the tax data (...) of the ceramic industry in Jingdezhen City, Jiangxi Province in different years are used for the empirical analysis of the tax prediction of different prediction models, including particle swarm optimization algorithm, and fusion algorithm, and support vector machine. This work comprehensively analyzes the influence of the optimized tax supervision mode on the economic development of the ceramic industry and provides ideas for the development of the ceramic industry in Jingdezhen. The research results demonstrate that the main indicator affecting tax revenue is the added value of the primary and secondary industries. The optimized SVM based on grid search method can provide a comprehensive data base for tax forecasting. The optimization of the computer system based on cognitive psychology improves the model prediction accuracy by 10%, and the absolute error decreases from 6.9 to 1.8%. The tax forecast results indicate that the tax imbalance in Jingdezhen is increasing. Therefore, the government needs to attach great importance to the development of the ceramic industry and strictly implement the tax policy. The tax supervision model can alleviate the problems of low fiscal contribution rate, tax evasion, and management loopholes. In addition, the SVM tax prediction model optimized by grid search method will lay a theoretical foundation for the research and application of taxation in the ceramic industry. (shrink)

In order to improve text reading ability, a human-computer interaction method based on artificial intelligence human-computer interaction is proposed. Firstly, the design of the AI human-computer interaction model is constructed, which includes the Stanford Question Answering Dataset and the designed baseline model. There are three components: the coding layer is based on a cyclic neural network, which aims to encode the problem and text into a hidden state; the interaction layer (...) is used to integrate problems and text representation; the output layer connects two independent soft Max layers after a fully connected layer, one is used to obtain the starting position of the answer in the text and the other is used to obtain the ending position. In the interaction layer of the model, this manuscript uses hierarchical attention and aggregation mechanism to improve text coding. The traditional model interaction layer has a simple structure, which leads to weak relevance between text and problems, and poor understanding ability of the model. Finally, the self-attention model is used to further enhance the feature representation of text. The experimental results show that the improved model in this manuscript is compared with the public AI human-computer interaction reading comprehension model. According to the data in the table, the accuracy of the model in this manuscript is better than that of the baseline model, in which the exact match value is increased by 1.4% and the F1 value is increased by 2.7%. However, compared with improvement point 2, the EM and F1 values of the model have decreased by 0.7%. It shows that the output layer has a certain impact on the effect of the model, and the improvement and optimization of the output layer can also improve the performance of the model. It is proved that AI human-computer interaction can effectively improve text reading ability. (shrink)

We discuss here one of our projects, aimed at developing an automatic facial expression interpreter, mainly in terms of signaled emotions. We present some of the relevant findings on facial expressions from cognitive science and psychology that can be understood by and be useful to researchers in Human-Computer Interaction and Artificial Intelligence. We then give an overview of HCI applications involving automated facial expression recognition, we survey some of the latest progresses in this area reached by various (...) approaches in computer vision, and we describe the design of our facial expression recognizer. We also give some background knowledge about our motivation for understanding facial expressions and we propose an architecture for a multimodal intelligent interface capable of recognizing and adapting to computer users¿ affective states. Finally, we discuss current interdisciplinary issues and research questions which will need to be addressed for further progress to be made in the promising area of computational facial expression recognition. (shrink)

Young children are prolific question-askers. The growing ubiquity of voice interfaces (e.g., Apple’s Siri, Amazon’s Alexa), as well as the availability of voice input in search fields, now make it possible for children to ask questions via Internet search when they are able to speak clearly, but before they have learned to read and write, typically between 3 and 6 years of age. The prevalence of voice search makes it important to understand children’s changing conceptions of digital devices as a (...) source of information and the role of technology-mediated question-asking in development. While limited research has focused on young children's use of voice interfaces, reviewing two related bodies of literature sheds light on how this use might unfold. This paper brings together studies of how children look for information, and of how they perceive and understand the informational and social roles of technology, drawing on human-computer interaction research. We conclude by highlighting lines of questioning for future work on younger children’s interaction through voice search. (shrink)

In this paper we review some problems with traditional approaches for acquiring and representing knowledge in the context of developing user interfaces. Methodological implications for knowledge engineering and for human-computer interaction are studied. It turns out that in order to achieve the goal of developing human-oriented (in contrast to technology-oriented) human-computer interfaces developers have to develop sound knowledge of the structure and the representational dynamics of the cognitive system which is interacting with the (...) class='Hi'>computer.We show that in a first step it is necessary to study and investigate the different levels and forms of representation that are involved in the interaction processes between computers and human cognitive systems. Only if designers have achieved some understanding about these representational mechanisms, user interfaces enabling individual experiences and skill development can be designed. In this paper we review mechanisms and processes for knowledge representation on a conceptual, epistemological, and methodologieal level, and sketch some ways out of the identified dilemmas for cognitive modeling in the domain of human-computer interaction. (shrink)

This edited book explores the nature of creative activities using the seven C’s of creativity framework, with a focus on collaboration. Addressing both Human-Human collaboration and Human-Computer collaboration with different technologies, it explores the relationships and constraints involved in collaborations amongst individuals, teams, and organizations, and offers valuable insights into the role of AI and robots in creative activities. Throughout the chapters, leading scholars in complementary fields (e.g., cognitive, ergonomics, social, industrial & organizational, educational psychology, as (...) well as engineering and media architecture) discuss different types of collaboration in creative situations, including working groups and interactions with AI-enabled technologies (e.g., generative AI and social robots), analyze their barriers and challenges, propose models of these complex activities, and suggest ways to achieve efficient collaborative creative activities that are tailored to the needs of humans and the environments in which they operate. A useful read for anyone involved in fields requiring collective creativity, such as design, team management, ergonomics, engineering, teaching, creative writing, filmmaking, or the arts, this book also advances research in creativity studies by combining theoretical and applied approaches. (shrink)

In this short paper, we introduce our Special Section in Feminist Theory titled ‘Feminist human-computer interaction: Struggles for past, contemporary and futuristic feminist theories in digital innovation’. Over the last years, we worked with the authors of the articles presented herein to bring together feminist theories with their practical application in the design, development, use and exploration of digital technologies. Our section follows three aspects: (1) an overview of past feminist histories and discourse; (2) the development of (...) actionable, contemporary theory; and (3) speculative futures of what a feminist human-computer interaction (HCI) could be. Together with the contributing authors, we are excited to explore these areas of post-disciplinary connection at the intersection of theory, practice and activism. (shrink)

A sociological revision of Aron Gurwitsch provides a helpful layered theory of conscious experience as a four-domain structure: _the theme_, _the thematic field_, _the halo_, and _the social horizon_. The social horizon—the totality of the social world that is unknown, vaguely known, taken for granted, or ignored by the subject despite objectively influencing the thoughts and actions of the subject—, helps conceptualize how everyday human–computer interaction (HCI) can obscure social structures. Two examples illustrate the usefulness of this (...) framework: (1) illuminating new forms of social control known as “surveillance capitalism” that influence the other domains of consciousness despite being invisible to the subject and (2) explaining how computer use tends to “hide” the ecological impacts of digital-technological systems from the attention of subjects. A sociological four-domain theory of consciousness supplements ethnomethodological HCI research by preserving the field’s long-standing focus on micro-level interactions and user experience while simultaneously drawing attention to a “commonsense ignorance of social structure”—in this case, the invisibility of the social structures behind personal computer use. Social structure can be reproduced even when actors are unaware of engaging in its reproduction. (shrink)

This paper discusses current clinical applications and possible future uses of brain-computer interfaces as a means for communication, motor control and entertainment. After giving a brief account of the various approaches to direct brain-computer interaction, the paper will address individual, social and ethical implications of BCI technology to extract signals from the brain. These include reflections on medical and psychosocial benefits and risks, user control, informed consent, autonomy and privacy as well as ethical and social issues implicated (...) in putative future developments with focus on human self-understanding and the idea of man. BCI use which involves direct interrelation and mutual interdependence between human brains and technical devices raises anthropological questions concerning self-perception and the technicalization of the human body. (shrink)

When studying human brains in relation with digital technologies, or digital brains, a relatively recent technology may prove particularly promising to do so: Brain-Computer Interfaces (BCI). Indeed, BCI can decode measures of users’ brain activity in real-time, in order to enable direct control of computers via brain activity or to monitor users’ mental states when interacting with technologies (so-called neuroergonomics). This chapter presents an introductory overview of this technology, i.e., it describes its motivations, brief history, components, principles of (...) operation and various applications, e.g. for assistive technologies, neurorehabilitation or safety, performance and user experience assessment and optimisation. It also touches on the various current limitations of this technology, which makes it rather different from the science-fiction-like representations it may evoke. Altogether, we hope this chapter can offer a brief but clear glimpse into what BCI can and cannot do, and motivate readers to possibly consider them in their future research and/or developments. (shrink)

Can machines simulate, express or even have emotions? Is it a good to build such machines? How do humans react emotionally to them and how should such devices be treated from a moral point of view? This volume addresses these and related questions by bringing together perspectives from affective computing and emotional human-machine interaction, combining technological approaches with those from the humanities and social sciences. It thus relates disciplines such as philosophy, computer science, technology, psychology, sociology, design, (...) and art. The volume offers readers interested in the phenomenon of emotional machines new perspectives from a variety of disciplines and addresses fundamental questions that will become pressing in the foreseeable future as emotional machines increasingly populate our everyday lives. (shrink)

This article makes the case that our digital devices create illusions of agency. There are times when users feel as if they are in control when in fact they are merely responding to stimuli on the screen in predictable ways. After the introduction, the second section of the article offers examples of illusions of agency that do not involve human–computer interaction in order to show that such illusions are possible and not terribly uncommon. The third and fourth (...) sections of the article cover relevant work from empirical psychology, including the cues that are known to generate the sense of agency. The fifth section of the article shows that our devices are designed to deliver precisely those cues. In the sixth section, the argument is completed with evidence that users frequently use their smartphones without the sort of intentional supervision involved in genuine agency. This sixth section includes the introduction of Digital Environmental Dependency Syndrome (DEDS) as a possible way of characterizing extended use of the smartphone without genuine agency. In the final section of the article, there is a discussion of questions raised by the main claim, including suggestions for reducing occurrences of illusions of agency through software design. (shrink)

In the paper, the touchstone points of the project “Towards an agency-based philosophy of (advanced) technology” are outlined. The main plot of this elaboration concerns human-machine interactions and appropriate interpretation of reciprocal aligning, adapting within involved into such interactions agents; as well as the status as such of being an agent. Into the theoretical and historical background of the project such spheres as Philosophy of Science, Philosophy of Technology, Philosophy of Engineering and Design Technological Actions, STS (Science and Technology (...) Studies), Applied Ethics etc. could be invited. To treat agency as technology, reestablish the role of agency in technology is the most ambitious goal of the project: ‘activity as technology’ focuses on activities through technologies. The terms «agency» and «activity» are used in this paper synonymously with the basic Aristotelian meaning of agent’s potential capacity to act. The proposed by the author theory of action and agency (and correspondently defended in 2016 dissertation of Doctor of Philosophical Science) is to be applied into philosophical reflections about various problems of dealing with currently continually appearing flourishing fields of artificial intelligence, machine learning (including deep learning methods and simulation methods), inventing computers and codes, numerically controlled machines and robots, computer-chip equipped devices, smart objects etc. (shrink)

In this paper, we address the question of what current computers are from the point of view of human-computer interaction. In the early days of computing, the Turing machine (TM) has been the cornerstone of the understanding of computers. The TM defines what can be computed and how computation can be carried out. However, in the last decades, computers have evolved and increasingly become interactive systems, reacting in real-time to external events in an ongoing loop. We argue (...) that the TM does not provide a mechanistic explanation for interactive computing. The reason is that the fundamental phenomena relevant to interactive computing are out of the scope of classical computability theory. Part of the explanatory power of the TM relies on what we propose to call an execution model. An execution model belongs to a level of abstraction where it is possible to describe both the functional architecture and the execution in mechanistic terms. An updated execution model is warranted to provide the minimal mechanistic description for interactive computation as a counterpart of what the TM could explain regarding Church-Turing computation. It would support an explanation of the ubiquitous computing devices we know - those interacting with humans, e.g., through digital interfaces. We show that such a model is not available within interactive models of computation and that relevant abstractions and concerns are available in computer engineering but need to be identified and gathered. To fill this void, we propose to reflect on the level of abstraction required to support the mechanistic description of an interactive execution and propose some preliminary requirements. (shrink)

Presence is a palpable sense of space, things and others that overlaps with matters of meaning, yet is not reducible to it: it is a dimension of things that hides in plain sight. This paper is motivated by observations that (1) presence is under-appreciated in questions of modern and nascent human-synthetic agent interaction, and (2) that presence matters because it affects and moves us. The paper’s goal is to articulate a multi-faceted understanding of presence, and why it matters, (...) so the importance of presence may be readily understood by those who regulate media, digital and artificial intelligence (AI) industries. Novel forms of presence raise all sorts of questions of what it means to live with new forms of presences. Some of these are highly positive and others are resistant to simplistic moral diagnosis, a point explored through extended consideration of ‘thanatechnology’ and ‘ghostbots’. To clarify and foreground presence, this paper draws on continental philosophy and technologist ideas about presence to understand the significance and parameters of presence. It then puts these to work by considering a range of existing and emerging human-synthetic agent interactions, arguing that that presence is an underappreciated yet crucial factor in human-synthetic interactions, particularly involving AI and ghostbots. The paper concludes with points of focus for organisations charged with media, data protection and AI governance regarding facets of presence-based characteristics for emergent human-synthetic interaction. Foremost is consideration of open standards for a presence-based afterlife and suggestion of a temporal firewall, or a break of time before resurrection, to prevent harm to those who have recently lost someone. (shrink)

While substantial effort has been invested in making robots more reliable, experience demonstrates that robots operating in unstructured environments are often challenged by frequent failures. Despite this, robots have not yet reached a level of design that allows effective management of faulty or unexpected behavior by untrained users. To understand why this may be the case, an in-depth literature review was done to explore when people perceive and resolve robot failures, how robots communicate failure, how failures influence people’s perceptions and (...) feelings towards robots, and how these effects can be mitigated. 52 studies were identified relating to communicating failures and their causes, the influence of failures on human-robot interaction, and mitigating failures. Since little research has been done on these topics within the Human-Robot Interaction (HRI) community, insights from the fields of human computer interaction (HCI), human factors engineering, cognitive engineering and experimental psychology are presented and discussed. Based on the literature, we developed a model of information processing for robotic failures (Robot Failure Human Information Processing (RF-HIP)), that guides the discussion of our findings. The model describes the way people perceive, process, and act on failures in human robot interaction. The model includes three main parts: (1) communicating failures, (2) perception and comprehension of failures, and (3) solving failures. Each part contains several stages, all influenced by contextual considerations and mitigation strategies. Several gaps in the literature have become evident as a result of this evaluation. More focus has been given to technical failures than interaction failures. Few studies focused on human errors, on communicating failures, or the cognitive, psychological, and social determinants that impact the design of mitigation strategies. By providing the stages of human information processing, RF-HIP can be used as a tool to promote the development of user-centered failure-handling strategies for human-robot interactions. (shrink)

CHAMELEON is a computational melodic harmonization assistant. It can harmonize a given melody according to a number of independent harmonic idioms or blends between idioms based on principles of conceptual blending theory. Thus, the system is capable of offering a wealth of possible solutions and viewpoints for melodic harmonization. This study investigates how human creativity may be influenced by the use of CHAMELEON in a melodic harmonization task. Professional and novice music composers participated in an experiment where they were (...) asked to harmonize two similar melodies under two different conditions: one with and one without computational support. A control group harmonized both melodies without computational assistance. The influence of the system was examined both behaviorally, by comparing metrics of user-experience, and in terms of the properties of the artifacts that were created between the two experimental conditions. Results suggest that appreciation of the system was expertise-dependent. At the same time, users seemed to adopt more explorative strategies as a result of interaction with CHAMELEON based on the fact that the harmonizations created this way were more complex, diverse, and unexpected in comparison to the ones of the control group. (shrink)

In this paper, I first outline a model of Computer-Meditated Interaction (CMI) to distinguish between (1) CMI HCI-transparent (HCI = human-computer interaction) and (2) CMI HCI-dependent. Some main features of (1) are then analysed (data-radiation, data-tracking, internalisation of problem solving), while (2) is further divided into (2.1) CMI-HCI stand-alone and (2.2) CMI-HCI on-line. Some advantages and limits of (2.1) are suggested, together with an overview of the present and future strategies leading the production of new (...) applications in the field. The analysis of (2.2) provides a last distinction between communication-oriented and elaboration-oriented CMI-HCI on-line (i.e. CMC and NIA). A description of these two forms of CMI is then sketched, together with an interpretation of the new strategic view which should lead the projection of applications in the field, a possible agenda and a forecast of the chief effects of some present trends. (shrink)

Cognitive modeling of human behavior has advanced the understanding of underlying processes in several domains of psychology and cognitive science. In this article, we outline how we expect cognitive modeling to improve comprehension of individual cognitive processes in human-agent interaction and, particularly, human-robot interaction (HRI). We argue that cognitive models offer advantages compared to data-analytical models, specifically for research questions with expressed interest in theories of cognitive functions. However, the implementation of cognitive models is arguably (...) more complex than common statistical procedures. Additionally, cognitive modeling paradigms typically have an explicit commitment to an underlying computational theory. We propose a conceptual framework for designing cognitive models that aims to identify whether the use of cognitive modeling is applicable to a given research question. The framework consists of five external and internal aspects related to the modeling process: research question, level of analysis, modeling paradigms, computational properties, and iterative model development. In addition to deriving our framework from a concise literature analysis, we discuss challenges and potentials of cognitive modeling. We expect cognitive models to leverage personalized human behavior prediction, agent behavior generation, and interaction pretraining as well as adaptation, which we outline with application examples from personalized HRI. (shrink)

Human-AI complementarity is the claim that a human supported by an AI system can outperform either alone in a decision-making process. Since its introduction in the human-AI interaction literature, it has gained traction by generalizing the reliance paradigm and by offering a more practical alternative to the contested construct of 'trust in AI.' Yet complementarity faces key theoretical challenges: it lacks precise theoretical anchoring, it is formalized just as a post hoc indicator of relative predictive accuracy, (...) it remains silent about other desiderata of human-AI interactions and it abstracts away from the magnitude-cost profile of its performance gain. As a result, complementarity is difficult to obtain in empirical settings. In this work, we leverage epistemology to address these challenges by reframing complementarity within the discourse on justificatory AI. Drawing on computational reliabilism, we argue that historical instances of complementarity function as evidence that a given human-AI interaction is a reliable epistemic process for a given predictive task. Together with other reliability indicators assessing the alignment of the human-AI team with the epistemic standards and socio-technical practices, complementarity contributes to the degree of reliability of human-AI teams when generating predictions. This supports the practical reasoning of those affected by these outputs -- patients, managers, regulators, and others. In summary, our approach suggests that the role and value of complementarity lies not in providing a relative measure of predictive accuracy, but in helping calibrate decision-making to the reliability of AI-supported processes that increasingly shape everyday life. (shrink)

The Four Books have shaped East Asian intellectual traditions, yet their multilayered interpretive complexity limits their accessibility in the digital age. While traditional bilingual commentaries provide a vital pedagogical bridge, computational frameworks are needed to preserve and explore this wisdom. This paper bridges AI and classical philosophy by introducing Graphilosophy, an ontology-guided, multilayered knowledge graph framework for modeling and interpreting The Four Books. Integrating natural language processing, multilingual semantic embeddings, and humanistic analysis, the framework transforms a bilingual Chinese–Vietnamese corpus into (...) an interpretively grounded resource. Graphilosophy encodes linguistic, conceptual, and interpretive relationships across interconnected layers, enabling cross-lingual retrieval and AI-assisted reasoning while explicitly preserving scholarly nuance and interpretive plurality. The system also enables nonexpert users to trace the evolution of ethical concepts across borders and languages, ensuring that ancient wisdom remains a living resource for modern moral discourse rather than a static relic of the past. Through an interactive interface, users can trace the evolution of ethical concepts across languages, ensuring ancient wisdom remains relevant for modern discourse. A preliminary user study suggests the system’s capacity to enhance conceptual understanding and cross-cultural learning. By linking algorithmic representation with ethical inquiry, this research exemplifies how AI can serve as a methodological bridge, accommodating the ambiguity of cultural heritage rather than reducing it to static data. (shrink)

The term ‘dialogue’ has its origin in the study of human language, where it is regarded primarily as a form of discourse, and hence as a pragmatic-level phenomenon. However, ‘dialogue’ is nowadays also used to denote humancomputer interaction; and in this field it tends to be described in syntactic rather than in pragmatic terms. But to treat dialogue as though the term had two distinct senses is unsatisfactory and unwarranted. Instead, we show how it is possible to maintain (...) a consistent, discourse-based view of dialogue that encompasses not only interpersonal communication but also multimodal human-computer interaction. (shrink)