This paper addresses ethical challenges posed by a robot acting as both a general type of system and a discrete, particular machine. Using the philosophical distinction between “type” and “token,” we locate type-token ambiguity within a larger field of indefinite robotic identity, which can include networked systems or multiple bodies under a single control system. The paper explores three specific areas where the type-token tension might affect human–robot interaction, including how a robot demonstrates the highly personalized recounting of information, how (...) a robot makes moral appeals and justifies its decisions, and how the possible need for replacement of a particular robot shapes its ongoing role. We also consider how a robot might regard itself as a replaceable token of a general robotic type and take extraordinary actions on that basis. For human–robot interaction robotic type-token identity is not an ontological problem that has a single solution, but a range of possible interactions that responsible design must take into account, given how people stand to gain and lose from the shifting identities social robots will present. (shrink)

The article tries to show, from the phenomenological posi­tion, that it must be possible to reflect on so called pre-linguistic experience. The argumenta­tion is based on a disputation with a symptomatic example used by Wittgen-stein to substan­tiate his language games theory. The analysis of the example at­tempts to indicate that the language games theory, which has to justify the rejection of the existence of pre-linguistic experience, meets with discre-pancies and difficulties which limit the range of this theory to a certain (...) extent. Because it presupposes the existence of „private“, experiential sphere in which – even before language and verbali­zation enter the game – the struc­turing of the world, identifi­cation of things and an elementary under-stan­ding of these processes must be realized. It seems that the dis-cussion on this topic is not only a spe­cific polemic over one problem that can be found in Wittgenstein, but has wider implications because the language games concept in the form of various „discourses“, „vocabularies“ or „cultures“ has found great favour in contemporary postmo­dern philo­sophy. On its basis postmodern philosophy very radi­cally crosses out the world, profanes its rational, objec­tive description and calls for free variation of different interpretations – their legitimacy is authenti­cated only by a consensus of their users. In this dispute, phe­nome­nology does not declare that there is a single true description of the world and that it is possible to find a reliable criterion for its definite legiti­mization. It does, however, draw on the fact that so called pre-linguistic expe­rience does not succumb to the variability of langu­age games and the interests of its users, but that it more and more cle­arly reflects the unitary and scru­table style of showing the real, ob­jectively given world even though this al­ways happens in se­emingly impalpable subjective acts. (shrink)

Social robots are designed to interact with humans. That is why they need interaction models that take social behaviors into account. These usually influence many of a robot’s abilities simultaneously. Hence, when designing robots that users will want to interact with, all components need to be tested in the system context, with real users and real tasks in real interactions. This requires methods that link the analysis of the robot’s internal computations within and between components with the interplay between robot (...) and user. This article presents Systemic Interaction Analysis as an integrated method to derive prototypical courses of interaction based on system and interaction level, identify deviations from these, infer the causes of deviations by analyzing the system’s operational sequences, and improve the robot iteratively by adjusting models and implementations. Keywords: analysis tools, user studies, autonomous robots. (shrink)

The first Young Researchers in Human–Robot Interaction Workshop, held on March 1, 2006 in Salt Lake City, Utah, provides insight into how to facilitate the establishment of the HRI community. Organized in conjunction with the first annual ACM/IEEE Human Robot Interaction Conference, the NSF-sponsored workshop assembled 15 graduate students from 5 different countries in computer science, psychology, engineering, and the arts to build the HRI community. This report highlights recommendations from discussion sessions, a synopsis of the plenary address, and representative (...) examples of the participants’ presentations. Participants emphasized that HRI is a unique field, requiring knowledge in computing, psychology, and communications despite the differences in the courses, methods, and philosophies across disciplines. The following are needed for future growth in HRI: stable, canonical robotics platforms for research purposes, a multidisciplinary community infrastructure to connect researchers, and a “Berlitz phrasebook” and collected reference materials for helping understand the “other” disciplines. (shrink)

The first Young Researchers in Human–Robot Interaction Workshop, held on March 1, 2006 in Salt Lake City, Utah, provides insight into how to facilitate the establishment of the HRI community. Organized in conjunction with the first annual ACM/IEEE Human Robot Interaction Conference, the NSF-sponsored workshop assembled 15 graduate students from 5 different countries in computer science, psychology, engineering, and the arts to build the HRI community. This report highlights recommendations from discussion sessions, a synopsis of the plenary address, and representative (...) examples of the participants’ presentations. Participants emphasized that HRI is a unique field, requiring knowledge in computing, psychology, and communications despite the differences in the courses, methods, and philosophies across disciplines. The following are needed for future growth in HRI: stable, canonical robotics platforms for research purposes, a multidisciplinary community infrastructure to connect researchers, and a “Berlitz phrasebook” and collected reference materials for helping understand the “other” disciplines. (shrink)

The vast expansion of research in human-robot interactions (HRI) these last decades has been accompanied by the design of increasingly skilled robots for engaging in joint actions with humans. However, these advances have encountered significant challenges to ensure fluent interactions and sustain human motivation through the different steps of joint action. After exploring current literature on joint action in HRI, leading to a more precise definition of these challenges, the present article proposes some perspectives borrowed from psychology and philosophy showing (...) the key role of communication in human interactions. From mutual recognition between individuals to the expression of commitment and social expectations, we argue that communicative cues can facilitate coordination, prediction, and motivation in the context of joint action. The description of several notions thus suggests that some communicative capacities can be implemented in the context of joint action for HRI, leading to an integrated perspective of robotic communication. (shrink)

Human–Human and Human–Robot Interaction are known to be influenced by a variety of modalities and parameters. Nevertheless, it remains a challenge to anticipate how a given mobile robot’s navigation and appearance will impact how it is perceived by humans. Drawing a parallel with vocal prosody, we introduce the notion of movement prosody, which encompasses spatio-temporal and appearance dimensions which are involved in a person’s perceptual experience of interacting with a mobile robot. We design a novel robot motion corpus, encompassing variables (...) related to the kinematics, gaze, and appearance of the robot, which we hypothesize are involved in movement prosody. Initial results of three perception experiments suggest that these variables have significant influences on participants’ perceptions of robot socio-affects and physical attributes. (shrink)

How do we switch between “playing along” and treating robots as technical agents? We propose interaction breakdowns to help solve this “social artifact puzzle”: Breaks cause changes from fluid interaction to explicit reasoning and interaction with the raw artifact. These changes are closely linked to understanding the technical architecture and could be used to design better human–robot interaction (HRI).

A comparative study of Tibetan Buddhist logic and Aristotelian logic of argument.

To advance the task of designing robots capable of performing collective tasks with humans, studies in human–robot interaction often turn to psychology, philosophy of mind and neuroscience for inspiration. In the same vein, this chapter explores how the notion of recognition and commitment can help confront some of the current problems in addressing robot-human interaction in joint tasks. First, we argue that joint actions require mutual recognition, which cannot be established without the attribution and maintenance of commitments. Second, we argue (...) that commitments require affective states such as social motivations or shared emotions. Finally, we conclude by assessing three possible proposals for how social robotics could implement an architecture of commitments by taking such an affective components into consideration. (shrink)

Gaze following occurs automatically in social interactions, but the degree to which gaze is followed depends on whether an agent is perceived to have a mind, making its behavior socially more relevant for the interaction. Mind perception also modulates the attitudes we have towards others, and deter-mines the degree of empathy, prosociality and morality invested in social interactions. Seeing mind in others is not exclusive to human agents, but mind can also be ascribed to nonhuman agents like robots, as long (...) as their appearance and/or behavior allows them to be perceived as intentional beings. Previous studies have shown that human appearance and reliable behavior induce mind perception to robot agents, and positively affect attitudes and performance in human-robot interaction. What has not been investigated so far is whether different triggers of mind perception have an independent or interactive effect on attitudes and performance in human-robot interaction. We examine this question by manipulating agent appearance (human vs. robot) and behavior (reliable vs. random) within the same paradigm and examine how congruent (human/reliable vs. robot/random) versus incongruent (human/random vs. robot/reliable) combinations of these triggers affect performance (i.e., gaze fol-lowing) and attitudes (i.e., agent ratings) in human-robot interaction. The results show that both ap-pearance and behavior affect human-robot interaction but that the two triggers seem to operate in iso-lation, with appearance more strongly impacting attitudes, and behavior more strongly affecting per-formance. The implications of these findings for human-robot interaction are discussed. (shrink)

Human–robot interaction (HRI) is the study focused on the relationship between humans and robots. HRI as a study combines elements from different fields such as computer science, artificial intelligence (AI), robotics, psychology and sociology. With the advancement in the field of AI, HRI showed greater improvements and now, we have the first robot recognized as a citizen of a country: Sophia the robot. Sophia is a robot that has a humanoid form, first made her appearance in 2016 and, according to (...) her creators, is a mix of technology, arts and robotics. Since then, Sophia has made a lot of appearances in different TV shows, given interviews and participated in commercials. Sophia also has her own social media accounts. Our study focuses on Sophia’s presence on social media and the ways she communicates with people and the rhetorics she makes use of. Hence, it studies the advances on HRI and the issues encountered in the field of communication. For our research, we used purposive sampling and content analysis in cases needed in order to study Sophia’s communication patterns and behaviour. At this point, we will delve into the communication with the AI aspect of HRI. (shrink)

Empirical research on human–robot interaction has demonstrated how humans tend to react to social robots with empathic responses and moral behavior. How should we ethically evaluate such responses to robots? Are people wrong to treat non-sentient artefacts as moral patients since this rests on anthropomorphism and ‘over-identification’ —or correct since spontaneous moral intuition and behavior toward nonhumans is indicative for moral patienthood, such that social robots become our ‘Others’?. In this research paper, I weave extant HRI studies that demonstrate empathic (...) responses toward robots with the recent debate on moral status for robots, on which the ethical evaluation of moral behavior toward them is dependent. Patienthood for robots has standardly been thought to obtain on some intrinsic ground, such as being sentient, conscious, or having interest. But since these attempts neglect moral experience and are curbed by epistemic difficulties, I take inspiration from Coeckelbergh and Gunkel’s ‘relational approach’ to explore an alternative way of accounting for robot patienthood based on extrinsic premises. Based on the ethics of Danish theologian K. E. Løgstrup I argue that empathic responses can be interpreted as sovereign expressions of life and that these expressions benefit human subjects—even if they emerge from social interaction afforded by robots we have anthropomorphized. I ultimately develop an argument in defense of treating robots as moral patients. (shrink)

Mutually adaptive interaction involves the robot as a partner as opposed to a tool, and requires that the robot is susceptible to similar environmental cues and behavior patterns as humans are. Recognition, or the acknowledgement of the other as individual, is fundamental to mutually adaptive interaction between humans. We discuss what recognition involves and its behavioral manifestations, and describe the benefits of implementing it in HRI.

Introduction: Agricultural workers perform intense labor outside in direct sunlight and in humid environmental conditions exposing them to a high risk of heat-related illness (HRI). To implement effective cooling interventions in occupational settings, it is important to consider workers’ perceptions. To date, an analysis of agricultural workers’ experience and perception of cooling devices used in the field while working has not been published. -/- Methods: Qualitatively data from 61 agricultural workers provided details of their perceptions and experiences with cooling interventions. (...) -/- Results: The participants in the bandana group reported the bandana was practical to use at work and did not interfere with their work routine. Cooling vest group participants agreed that the vest was effective at cooling them, but the practicality of using the vest at work was met with mixed reviews. -/- Conclusion: The findings of this qualitative study support and extend existing research regarding personal cooling and heat prevention research interventions with vulnerable occupational groups. Personal cooling gear was well received and utilized by the agricultural workers. Sustainable heat prevention studies and governmental protection strategies for occupational heat stress are urgently needed to reduce the risk of heat-related morbidity, mortality, and projected climate change health impacts on outdoor workers. (shrink)

Mutually adaptive interaction involves the robot as a partner as opposed to a tool, and requires that the robot is susceptible to similar environmental cues and behavior patterns as humans are. Recognition, or the acknowledgement of the other as individual, is fundamental to mutually adaptive interaction between humans. We discuss what recognition involves and its behavioral manifestations, and describe the benefits of implementing it in HRI.

A growing body of research can be found in which roboticists are designing for reciprocity as a key construct for successful human–robot interaction (HRI). Given the centrality of reciprocity as a component for our moral lives (for moral development and maintaining the just society), this paper confronts the possibility of what things would look like if the benchmark to achieve perceived reciprocity were accomplished. Through an analysis of the value of reciprocity from the care ethics tradition the richness of reciprocity (...) as an inherent value is revealed: on the micro-level, as mutual care for immediate care givers, and on the macro-level, as foundational for a just society. Taking this understanding of reciprocity into consideration, it becomes clear that HRI cannot achieve this bidirectional value of reciprocity; a robot must deceive users into believing it is capable of reciprocating to humans or is deserving of reciprocation from humans. Moreover, on the macro-level, designing social robots for reciprocity threatens the ability and willingness to reciprocate to human care workers across society. Because of these concerns, I suggest re-thinking the goals of reciprocity in social robotics. Designing for reciprocity in social robotics should be dedicated to the design of robots to enhance the ability to mutually care for those that provide us with care, as opposed to designing for reciprocity between human and robot. (shrink)

Sex robots are likely to play an important role in shaping public understandings of sex and of relations between the sexes in the future. This paper contributes to the larger project of understanding how they will do so by examining the ethics of the “rape” of robots. I argue that the design of realistic female robots that could explicitly refuse consent to sex in order to facilitate rape fantasy would be unethical because sex with robots in these circumstances is a (...) representation of the rape of a woman, which may increase the rate of rape, expresses disrespect for women, and demonstrates a significant character defect. Even when the intention is not to facilitate rape, the design of robots that can explicitly refuse consent is problematic due to the likelihood that some users will experiment with raping them. Designing robots that lack the capacity to explicitly refuse consent may be morally problematic depending on which of two accounts of the representational content of sex with realistic humanoid robots is correct. (shrink)

The focus of the following article is on the use of new robotic systems in the manufacturing industry with respect to the social dimension. Since “intuitive” human–machine interaction (HMI) in robotic systems becomes a significant objective of technical progress, new models of work organization are needed. This hypothesis will be investigated through the following two aims: The first aim is to identify relevant research questions related to the potential use of robotic systems in different systems of work organization at the (...) manufacturing shop-floor level. The second aim is to discuss the conceptualization of (old) organizational problems of human–robot interaction (HRI). In this context, the article reflects on the limits of cognitive and perceptual workload for robot operators in complex working systems. This will be particularly relevant whenever more robots with different “roles” are to be increasingly used in the manufacturing industry. The integration of such complex socio-technical systems needs further empirical and conceptual research with regard to “social” aspects of the technical dimension. Future research should, therefore, also integrate economic and societal issues to understand the full dimensions of new human–robot interaction in industry today. (shrink)

Putting laypeople in an active role as direct expert contributors in the design of service robots becomes more and more prominent in the research fields of human–robot interaction and social robotics. Currently, though, HRI is caught in a dilemma of how to create meaningful service robots for human social environments, combining expectations shaped by popular media with technology readiness. We recapitulate traditional stakeholder involvement, including two cases in which new intelligent robots were conceptualized and realized for close interaction with humans. (...) Thereby, we show how the robot narrative together with aspects of power balancing stakeholders, such as hardware constraints and missing perspectives beyond primary users, and the adaptivity of robots through machine learning that creates unpredictability, pose specific challenges for participatory design processes in HRI. We conclude with thoughts on a way forward for the HRI community in developing a culture of participation that considers humans when conceptualizing, building, and using robots. (shrink)

This study investigates the antecedents of human rights infringements by emerging market firms. We used fuzzy set qualitative comparative analysis to examine HRIs in 245 firms based in eight emerging markets, between 2003 and 2012. Our findings disclose three equifinal configurations of high levels of HRIs, all involving EFs that have expanded to a high number of foreign markets: large, old, low performing state-owned enterprises operating in high quality institutions’ home and host markets, small, young, over-performing EFs operating in low (...) quality institutions’ home and host markets, and finally large, old, high performing SOEs, operating in low quality institutions’ home and host markets. We contribute to the literature by examining a novel dataset on HRIs by EFs, and by building a configurational explanation of HRIs that bridges the arguments of the institutional theory and strain theory literatures on corporate wrongdoing. (shrink)

Given that empathy allows people to form and maintain satisfying social relationships with other subjects, it is no surprise that this is one of the most studied phenomena in the area of human–robot interaction (HRI). But the fact that the term ‘empathy’ has strong social connotations raises a question: can it be applied to robots? Can we actually use social terms and explanations in relation to these inanimate machines? In this article, I analyse the range of uses of the term (...) empathy in the field of HRI studies and social robotics, and consider the substantial, functional and relational positions on this issue. I focus on the relational (cooperational) perspective presented by Luisa Damiano and Paul Dumouchel, who interpret emotions (together with empathy) as being the result of affective coordination. I also reflect on the criteria that should be used to determine when, in such relations, we are dealing with actual empathy. (shrink)

With service robots becoming more ubiquitous in social life, interaction design needs to adapt to novice users and the associated uncertainty in the first encounter with this technology in new emerging environments. Trust in robots is an essential psychological prerequisite to achieve safe and convenient cooperation between users and robots. This research focuses on psychological processes in which user dispositions and states affect trust in robots, which in turn is expected to impact the behavior and reactions in the interaction with (...) robotic systems. In a laboratory experiment, the influence of propensity to trust in automation and negative attitudes toward robots on state anxiety, trust, and comfort distance toward a robot were explored. Participants were approached by a humanoid domestic robot two times and indicated their comfort distance and trust. The results favor the differentiation and interdependence of dispositional, initial, and dynamic learned trust layers. A mediation from the propensity to trust to initial learned trust by state anxiety provides an insight into the psychological processes through which personality traits might affect interindividual outcomes in human-robot interaction (HRI). The findings underline the meaningfulness of user characteristics as predictors for the initial approach to robots and the importance of considering users’ individual learning history regarding technology and robots in particular. (shrink)

The purpose of this paper is to understand if and how interactions with Sexual Robots will modify users’ relational abilities in human-human relations. We first underline that, in today’s scholar discussion on the ‘symbolic argument’, there is no theoretical framework explaining the process of symbolic shift between human-robot interactions (HRI) and human-human interactions (HHI). To clarify the symbolic shift mechanism, we propose the concept of objectual mediation. Moreover, under the lens of Winnicott’s object-relation theory, we argue that HRI can structurally (...) modify users relationality, degrading intersubjective abilities: Sexual Robots may blurry the limit between the ‘internal object’ and the external one. We conclude that, under certain conditions, interactions with Sexual Robots may bring the user back to an infantile object-relation setting, worsening the user ability to manage relational frustration. This will negatively impact on human-human interactions and social values in general. -/- . (shrink)

Technology acceptance by users has been extensively studied in recent years in various fields such as technologies for learning, e-commerce, and business technologies. This review focuses specifically on Human Resource Information Systems and its acceptance by users. Given their widespread use in organisations, HRIS acceptance has been researched but not synthesised in any way. This article aims to review the effectiveness of the classical TAM and UTAUT models commonly used for new technologies and to identify the variables added to these (...) models to better predict HRIS acceptance by employees. It also highlights the importance of the human-machine-organisation relationship to contribute to the understanding of HRIS acceptance in professional environments. This review confirms the effectiveness of the TAM and UTAUT models and proposes to develop them by variables reffering to technological characteristics, user satisfaction with the system, and organisational variables. The discussion focuses on the retroaction possibilities between the different Human-Machine-Organisation relation levels. (shrink)

To address the tension between demands for more transparent AI systems and the aim to develop and design robots with apparent agency for smooth and intuitive human-robot interaction (HRI), we present in this paper an argument for why explainability in HRI would benefit from being question-centered. First, we review how explainability has been discussed in AI and HRI respectively, to then present the challenge in HRI to accommodate the requirement of transparency while also keeping up the appearance of the robot (...) as a social agent. Based on the conceptualization of questions as information-seeking acts, our proposal for a question-centered approach to explainable HRI (xHRI) implies that to ensure transparency, robots shall provide explanations upon request in the form of questioning. We end this paper by laying out a preliminary taxonomy of xHRI-relevant questions that present the kinds of explanations a robot can or should be able to provide for successful and transparent HRI. (shrink)

Soft robots promise an exciting design trajectory in the field of robotics and human–robot interaction (HRI), promising more adaptive, resilient movement within environments as well as a safer, more sensitive interface for the objects or agents the robot encounters. In particular, tactile HRI is a critical dimension for designers to consider, especially given the onrush of assistive and companion robots into our society. In this article, we propose to surface an important set of ethical challenges for the field of soft (...) robotics to meet. Tactile HRI strongly suggests that soft-bodied robots balance tactile engagement against emotional manipulation, model intimacy on the bonding with a tool not with a person, and deflect users from personally and socially destructive behavior the soft bodies and surfaces could normally entice. (shrink)

The revolution of artificial intelligence (AI), particularly generative AI, and its implications for human–robot interaction (HRI) opened up the debate on crucial regulatory, business, societal, and ethical considerations. This paper explores essential issues from the anthropomorphic perspective, examining the complex interplay between humans and AI models in societal and corporate contexts. We provided a comprehensive review of existing literature on HRI, with a special emphasis on the impact of generative models such as ChatGPT. The scientometric study posits that due to (...) their advanced linguistic capabilities and ability to mimic human-like behavior, generative AIs like ChatGPT will continue to grow in popularity in pair with human rational empathy, tendency for personification and their advanced linguistic capabilities and ability to mimic human-like behavior. As they blur the boundaries between humans and robots, these models introduce fresh moral and philosophical dilemmas. Our research aims to extrapolate key trends and unique factors in HRI and to elucidate the technical aspects of generative AI that enhance its effectiveness in this field compared to traditional rule-based AI systems. We further discuss the challenges and limitations of applying generative AI in HRI, providing a future research agenda for AI optimization in diverse applications, including education, entertainment, and healthcare. (shrink)

In an experimental study of humans reactions to social motor intention in a humanoid robot, we showed that SMI cause the emergence of social interaction between human and robot. We investigated whether people would respond differently to a humanoid robot depending on the kinematic profile of its movement. A robot placed a block on a table in front of a human subject in three different ways. We designed the robot’s arm and upper body movements to manifest the human kinematic profile (...) of either a non-social motor intention or a social motor intention. In the control condition the robot performed an irregular movements. Once the robot had finished its task, the task of the human was to place another block on top of the first one. We distinguishedbetween social and non-social responses to the robot’s behavior based in gaze behavior and kinematic profile of the human’s arm movement during the task. Our results show that the behavior of the human can be modulated by the kinematics of a robot’s motor action. In several cases the participants reciprocated movements displaying social motor intention with movements with a similar kind of kinematics, attempting to make eye contact during the task. This shows that HRI can emerge implicitly by sensorimotor processing and suggests that implementing a mechanism for social-motor intention in social robots designed to interact spontaneously would be useful. (shrink)