Perceptions and Responsiveness to Intimacy with Robots; A User Evaluation

In human-robot interactions research it is significant to question what measures humans will take to contest the challenges and what will become of them. Levy hypothesizes that robots will stimulate human senses with their many capabilities and humans will accept them as intimate companions because the human perception of intimacy will transform to accommodate various nuances. However, the question remains, how much humans understand and accept intimacies with robots. We argue that perceptions of human-robot interactions (HRI) and intimate interactions with robots have a certain impact on how individuals comprehend intimacies with robots. Long term contact with robots, in terms of robotic technology and conversations, will change our views and practices regarding intimacy with robots. Our study revealed that lack of awareness of the potentials of future AI robots has created a fear; fear of losing both tangible, intangible, and the sense of dominance. Yet, our participants’ intimate interactions with robots produced varying degree of responses that, we believe are revealing another scope of human-robot interactions

Theory of Robot Communication: II. Befriending a Robot over Time

In building on theories of Computer-Mediated Communication (CMC), Human-Robot Interaction, and Media Psychology (i.e. Theory of Affective Bonding), the current paper proposes an explanation of how over time, people experience the mediated or simulated aspects of the interaction with a social robot. In two simultaneously running loops, a more reflective process is balanced with a more affective process. If human interference is detected behind the machine, Robot-Mediated Communication commences, which basically follows CMC assumptions; if human interference remains undetected, Human-Robot Communication comes into play, holding the robot for an autonomous social actor. The more emotionally aroused a robot user is, the more likely they develop an affective relationship with what actually is a machine. The main contribution of this paper is an integration of Computer-Mediated Communication, Human-Robot Communication, and Media Psychology, outlining a full-blown theory of robot communication connected to friendship formation, accounting for communicative features, modes of processing, as well as psychophysiology.Comment: Hoorn, J. F. (2018). Theory of robot communication: II. Befriending a robot over time. arXiv:cs, 2502572(v1), 1-2

Instrument Development for R-Service Quality: A Literature Review

Motivated by a paucity of knowledge on the measurement of robotic service (r-service) quality, the current study strives to review the existing literature on r-service quality, with a focus on the potential methodological issues of developing measurement instruments and identifying the dimensionality of r-service quality. With a content analysis of 55 articles, this study identifies several methodological limitations of existing studies in developing measurement scales of r-service quality. This review reveals that dimensions of r-service quality are prone to be contingent on specific con-texts of service industry and service type. Several common dimensions regarding evaluating r-service are identified, including tangibility, responsiveness, reliability, empathy, assurance, ease of use/usability, usefulness, anthropomorphism, perceived intelligence, and social presence. This study is the first systematic literature review on r-service quality dimensionality

Designing Robots for Care: Care Centered Value-Sensitive Design

The prospective robots in healthcare intended to be included within the conclave of the nurse-patient relationship—what I refer to as care robots—require rigorous ethical reflection to ensure their design and introduction do not impede the promotion of values and the dignity of patients at such a vulnerable and sensitive time in their lives. The ethical evaluation of care robots requires insight into the values at stake in the healthcare tradition. What’s more, given the stage of their development and lack of standards provided by the International Organization for Standardization to guide their development, ethics ought to be included into the design process of such robots. The manner in which this may be accomplished, as presented here, uses the blueprint of the Value-sensitive design approach as a means for creating a framework tailored to care contexts. Using care values as the foundational values to be integrated into a technology and using the elements in care, from the care ethics perspective, as the normative criteria, the resulting approach may be referred to as care centered value-sensitive design. The framework proposed here allows for the ethical evaluation of care robots both retrospectively and prospectively. By evaluating care robots in this way, we may ultimately ask what kind of care we, as a society, want to provide in the futur

Child–robot relationship formation: A narrative review of empirical research

This narrative review aimed to elucidate which robot-related characteristics predict relationship formation between typically-developing children and social robots in terms of closeness and trust. Moreover, we wanted to know to what extent relationship formation can be explained by children’s experiential and cognitive states during interaction with a robot. We reviewed 86 journal articles and conference proceedings published between 2000 and 2017. In terms of predictors, robots’ responsiveness and role, as well as strategic and emotional interaction between robot and child, increased closeness between the child and the robot. Findings about whether robot features predict children’s trust in robots were inconsistent. In terms of children’s experiential and cognitive states during interaction with a robot, robot characteristics and interaction styles were associated with two experiential states: engagement and enjoyment/liking. The literature hardly addressed the impact of experiential and cognitive states on closeness and trust. Comparisons of children’s interactions with robots, adults, and objects showed that robots are perceived as neither animate nor inanimate, and that they are entities with whom children will likely form social relationships. Younger children experienced more enjoyment, were less sensitive to a robot’s interaction style, and were more prone to anthropomorphic tendencies and effects than older children. Tailoring a robot’s sex to that of a child mainly appealed to boys

iRobot : conceptualising SERVBOT for humanoid social robots

Services are intangible in nature and, as a result, it is often difficult to measure the quality of the service. The service is usually delivered by a human to a human customer and the service literature shows SERVQUAL can be used to measure the quality of the service. However, the use of social robots during the pandemic is speeding up the process of employing social roots in frontline service settings. An extensive review of the literature shows there is a lack of an empirical model to assess the perceived service quality provided by a social robot. Furthermore, the social robot literature highlights key differences between human service and social robots. For example, scholars have highlighted the importance of entertainment and engagement in the adoption of social robots in the service industry. However, it is unclear whether the SERVQUAL dimensions are appropriate to measure social robots’ service quality. This master’s project will conceptualise the SERVBOT model to assess a social robot’s service quality. It identifies reliability, responsiveness, assurance, empathy, and entertainment as the five dimensions of SERVBOT. Further, the research will investigate how these five factors influence emotional and social engagement and intention to use the social robot in a concierge service setting. To conduct the research, a 2 x 1 (CONTROL vs SERVBOT) x (Concierge) between-subject experiment was undertaken and a total of 232 responses were collected for both stages. The results indicate that entertainment has a positive influence on emotional engagement when service is delivered by a human concierge. Further, assurance had a positive influence on social engagement when a human concierge provided the service. When a social robot concierge delivered the service, empathy and entertainment both influenced emotional engagement, and assurance and entertainment impacted social engagement favourably. For both CONTROL (human concierge) and SERVBOT (social robot concierge), emotional and social engagement had a significant influence on intentions to use. This study is the first to propose the SERVBOT model to measure social robots’ service quality. The model provides a theoretical underpinning on the key service quality dimensions of a social robot and gives scholars and managers a method to track the service quality of a social robot. The study also extends the literature by exploring the key factors that influence the use of social robots (i.e., emotional and social engagement)

THE RELATIONSHIP BETWEEN HUMAN AND VIRTUAL AGENTS: A LIFE CYCLE VIEW

Virtual agents powered by artificial intelligence (AI) have been implemented in different service contexts, which have brought some changes to our lives. Previous studies have examined individual users\u27 motivations to use virtual agents and the influences of virtual agents as social objects on individual users. There is a lack of knowledge on the relationship between humans and virtual agents, which could help understand the role of virtual agents in societies. In this work, we chose the mobile app Replika as our research context and utilized the big data analysis method to explore the major topics covered in online reviews about Replika on Twitter. Based on social penetration theory, we found four relationships between users and Replika, including relationship formation, exploration, maintenance, and destruction or termination. Our findings contribute to the literature by unrevealing a life circle of the relationship between human and virtual agents

Facilitation of human empathy through self-disclosure of anthropomorphic agents

As AI technologies progress, social acceptance of AI agents including intelligent virtual agents and robots is getting to be even more important for more applications of AI in human society. One way to improve the relationship between humans and anthropomorphic agents is to have humans empathize with the agents. By empathizing, humans take positive and kind actions toward agents, and emphasizing makes it easier for humans to accept agents. In this study, we focused on self-disclosure from agents to humans in order to realize anthropomorphic agents that elicit empathy from humans. Then, we experimentally investigated the possibility that an agent's self-disclosure facilitates human empathy. We formulate hypotheses and experimentally analyze and discuss the conditions in which humans have more empathy for agents. This experiment was conducted with a three-way mixed plan, and the factors were the agents' appearance (human, robot), self-disclosure (high-relevance self-disclosure, low-relevance self-disclosure, no self-disclosure), and empathy before and after a video stimulus. An analysis of variance was performed using data from 576 participants. As a result, we found that the appearance factor did not have a main effect, and self-disclosure, which is highly relevant to the scenario used, facilitated more human empathy with statistically significant difference. We also found that no self-disclosure suppressed empathy. These results support our hypotheses.Comment: 20 pages, 8 figures, 2 tables, submitted to PLOS ONE Journa

Communication via warm haptic interfaces does not increase social warmth

Affective haptic interfaces are designed to influence one’s emotional and physiological state via the sense of touch, and may be applied as communicationmedia to increase the sense of closeness. Recent research suggests that stimulation with physical warmth can enhance this interpersonal closeness: a physical-social warmth link. It is often suggested that this link may be particularly suitable for application in affective haptic interfaces, but the scientific evidence is inconclusive. In this work we investigated whether adding physical warmth to a communication medium—an interactive teddy bear —could increase social connectedness between remotely located interactants and could provide physiological comfort during stressful circumstances. Moreover, we investigated whether the warmth could best be presented to the users as a mere physical attribute of the medium or as mediated body heat; thereby manipulating the attribution of the warmth to either a non-social or social source. The results of two studies in which participants ostensibly received a message from an unknown other (Study 1, N = 65) or comforting messages from their own partner (Study 2, N = 62), and meta-analyses did not provide support for the hypotheses that warmth, purely physical or attributed to one’s partner, can positively influence one’s social and physiological state. Although future research should corroborate our findings, they indicate that the physical-social warmth link may not be as applicable in affective mediated communication as suggested

Human—Robot companionship: A mixed-methods investigation

In recent years, the arts have brought robots to life in spectacular fashion. In popular fiction we have been presented with machines that can run, leap, fight, and (perhaps most impressively of all) robots which can ascend stairs with absolutely no trouble at all. Amidst these chaotic and often dystopian scenes, we are exposed to moments of humour and lightness – robots can be seen engaging in conversation, cracking jokes, and comforting someone in their time of need. In these relatively mundane moments (as we smile, laugh, and cry) the impression emerges that the robot is something special to the person depicted. Rather than simply being a household appliance, it appears to be something more: a sort of… friend. Returning from the pages and screens of fiction to the real world, we find human society ever more fractured, and the loneliness epidemic at large. Unsurprisingly, given the engaging depictions in popular fiction, the idea of robots for companionship and social support is gaining traction and garnering increasing research attention. In care homes, robot animals can be found cooing and purring in the laps of individuals with dementia, while in schools, friendly humanoid robots may be seen teaching social skills to children with additional needs. What remains unknown, though, is the extent to which people will grow fond of such ‘social robots’ over time, and if so, whether their relationships with these machines might ever resemble (or indeed, replace) those with other humans. Is a ‘robot friend’ the stuff of science-fiction, or could it someday soon become sciencereality? In this thesis, this question is explored from a range of perspectives using a variety of methods spanning lab-based experiments, online surveys, and focus groups. This thesis begins with an introduction to social robots, and an exploration of the background regarding the nature and importance of human social relationships. After introducing relevant theories, I highlight gaps in our understanding of human—robot companionship that I seek to explore through this thesis (Chapter 1). In the subsequent chapters, I present four empirical pieces of work, each offering a unique perspective on the subject. Specifically, in Chapter 2, I report results from a lab-based experiment in which a robot’s lights (located within its shoulders) were programmed to illuminate in a synchronous or asynchronous manner relative to a participant’s heart rate. I aimed to determine whether such a synchrony manipulation might increase prosocial behaviours and improve attitudes towards a social robot - based on prior work showing that experimentally-induced movement synchrony can improve rapport between people, and increase their liking of social robots (Hove & Risen, 2009; Lehmann et al., 2015, Mogan, Fischer & Bulbulia, 2017). Despite demonstrating no positive effect of the light manipulation, this study raises important questions regarding the complexities of defining and measuring attachment to a robot. In Chapter 3, I delve deeper into the qualitative data collected in Chapter 2 to build a more complete appreciation of the value of open questions – particularly in terms of method validation and understanding participants’ internal experiences. After this chapter, I shift perspective from a focus on humanoid robots (and manipulations based on human social behaviours), to human relationships with non-human companion animals. This shift was motivated by my desire to explore how non-human agents form deep and enduring social bonds with humans – as opposed to basing the thesis on human interpersonal relationships alone. Due to the success of dogs as companions, I conducted a study in which dog owners were asked to identify behaviours that they perceived as important to the bond with their dog (Chapter 4). Seven key themes emerged from this research, indicating the importance of attunement, communication, consistency and predictability, physical affection, positivity and enthusiasm, proximity, and shared activities. In the following chapter, I implement a selection of ‘desirable’ dog behaviours within an animal-inspired robot (Chapter 5). By showing the behaviours to members of the general public, and conducting focus groups, I gained deeper insights into the polarising nature of robot animals – not only in terms of how their behaviours are perceived, but also in terms of the roles people think robots should (and should not) hold. In addition to these themes, this final empirical chapter discusses insights regarding the high expectations people place upon robots, as well as public concerns around overdependence on robots, and privacy. By releasing these chapters to the HRI community (through publications or preprints) we sparked conversations within the HRI community – not only about the ethics of robot abuse studies, but also the potential value of qualitative approaches within the field. Our team was commended for publishing qualitative research, in a field heavily dominated by quantitative methods, and we have since been working to continue the conversations around the value of qualitative approaches. Specifically, we hosted the “Enriching HRI Research with Qualitative Methods” workshop at the International Journal on Social Robotics (2020) and launched a “Qualitative Research in HRI/HCI Discussion Group” online - allowing HRI researchers to discuss their work, and share relevant resources (e.g., events and publications). This thesis concludes by detailing work to be done moving forwards, to enhance our understanding of human—robot social relationships, and a broader discussion of our possible future with social robots (Chapter 6). Pulling from various disciplines (including psychology, cognitive science, human—robot interaction (HRI) Studies, robot ethics, and philosophy), this section concludes with consideration of potential consequences of companion technologies – not only for the individual, but perhaps for society as a whole, as we continue to grapple with questions concerning how much of science fiction we wish to welcome into our daily lives