Human-Machine Communication: Complete Volume. Volume 1

This is the complete volume of HMC Volume 1

Human-centred design methods : developing scenarios for robot assisted play informed by user panels and field trials

Original article can be found at: http://www.sciencedirect.com/ Copyright ElsevierThis article describes the user-centred development of play scenarios for robot assisted play, as part of the multidisciplinary IROMEC1 project that develops a novel robotic toy for children with special needs. The project investigates how robotic toys can become social mediators, encouraging children with special needs to discover a range of play styles, from solitary to collaborative play (with peers, carers/teachers, parents, etc.). This article explains the developmental process of constructing relevant play scenarios for children with different special needs. Results are presented from consultation with panel of experts (therapists, teachers, parents) who advised on the play needs for the various target user groups and who helped investigate how robotic toys could be used as a play tool to assist in the children’s development. Examples from experimental investigations are provided which have informed the development of scenarios throughout the design process. We conclude by pointing out the potential benefit of this work to a variety of research projects and applications involving human–robot interactions.Peer reviewe

Social robots as communication partners to support emotional well-being

Interpersonal communication behaviors play a significant role in maintaining emotional well being. Self-disclosure is one such behavior that can have a meaningful impact on our emotional state. When we engage in self-disclosure, we can receive and provide support, improve our mood, and regulate our emotions. It also creates a comfortable space to share our feelings and emotions, which can have a positive impact on our overall mental and physical health. Social robots are gradually being introduced in a range of social and health settings. These autonomous machines can take on various forms and shapes and interact with humans using social behaviors and rules. They are being studied and introduced in psychosocial health interventions, including mental health and rehabilitation settings, to provide much- needed physical and social support to individuals. In my doctoral thesis, I aimed to explore how humans self-disclose and express their emotions to social robots and how this behavior can affect our perception of these agents. By studying speech-based communication interactions between humans and social robots, I wanted to investigate how social robots can support human emotional well-being. While social robots show great promise in offering social support, there are still many questions to consider before deploying them in actual care contexts. It is important to carefully evaluate their utility and scope in interpersonal communication settings, especially since social robots do not yet offer the same opportunities as humans for social interactions. My dissertation consists of three empirical chapters that investigate the underlying psychological mechanisms of perception and behaviour within human–robot communication and their potential deployment as interventions for emotional wellbeing. Chapter 1 offers a comprehensive introduction to the topic of emotional well-being and self-disclosure from a psychological perspective. I begin by providing an overview of the existing literature and theory in this field. Next, I delve into the social perception of social robots, presenting a theoretical framework to help readers understand how people view these machines. To illustrate this, I review some of the latest studies on social robots in care settings, as well as those exploring how robots can encourage people to self-disclose more about themselves. Finally, I explore the key concepts of self disclosure, including how it is defined, operationalized, and measured in experimental psychology and human–robot interaction research. In my first empirical chapter, Chapter 2, I explore how a social robot’s embodiment influences people’s disclosures in measurable terms, and how these disclosures differ from disclosures made to humans and disembodied agents. Chapter 3 studies how prolonged and intensive long-term interactions with a social robot affect people’s self-disclosure behavior towards the robot, perceptions of the robot, and how it affected factors related to well-being. Additionally, I examine the role of the interaction’s discussion theme. In Chapter 4, the final empirical chapter, I test a long-term and intensive social robot intervention with informal caregivers, people living with considerably difficult life situations. I investigate the potential of employing a social robot for eliciting self-disclosure among informal caregivers over time, supporting their emotional well-being, and implicitly encouraging them to adapt emotion regulation skills. In the final discussion chapter, Chapter 5, I summarise the current findings and discuss the contributions, implications and limitations of my work. I reflect on the contribution and challenges of this research approach and provide some future directions for researchers in the relevant fields. The results of these studies provide meaningful evidence for user experience, acceptance, and trust of social robots in different settings, including care, and demonstrate the unique psychological nature of these dynamic social interactions with social robots. Overall, this thesis contributes to the development of social robots that can support emotional well-being through self-disclosure interactions and provide insights into how social robots can be used as mental health interventions for individuals coping with emotional distress

MODELING THE CONSUMER ACCEPTANCE OF RETAIL SERVICE ROBOTS

This study uses the Computers Are Social Actors (CASA) and domestication theories as the underlying framework of an acceptance model of retail service robots (RSRs). The model illustrates the relationships among facilitators, attitudes toward Human-Robot Interaction (HRI), anxiety toward robots, anticipated service quality, and the acceptance of RSRs. Specifically, the researcher investigates the extent to which the facilitators of usefulness, social capability, the appearance of RSRs, and the attitudes toward HRI affect acceptance and increase the anticipation of service quality. The researcher also tests the inhibiting role of pre-existing anxiety toward robots on the relationship between these facilitators and attitudes toward HRI. The study uses four methodological strategies: (1) incorporating a focus group and personal interviews, (2) using a presentation method of video clip stimuli, (3) empirical data collection and multigroup SEM analyses, and (4) applying three key product categories for the model’s generalization— fashion, technology (mobile phone), and food service (restaurant). The researcher conducts two pretests to check the survey items and to select the video clips. The researcher conducts the main test using an online survey of US consumer panelists (n = 1424) at a marketing agency. The results show that usefulness, social capability, and the appearance of a RSR positively influence the attitudes toward HRI. The attitudes toward HRI predict greater anticipation of service quality and the acceptance of the RSRs. The expected quality of service tends to enhance the acceptance. The relationship between social capability and attitudes toward HRI is weaker when the anxiety toward robots is higher. However, when the anxiety is higher, the relationship between appearance and the attitudes toward HRI is stronger than those with low anxiety. This study contributes to the literature on the CASA and domestication theories and to the human-computer interaction that involves robots or artificial intelligence. By considering social capability, humanness, intelligence, and the appearance of robots, this model of RSR acceptance can provide new insights into the psychological, social, and behavioral principles that guide the commercialization of robots. Further, this acceptance model could help retailers and marketers formulate strategies for effective HRI and RSR adoption in their businesses

Brother, Can You Spare a Dime? Technology Can Reduce Dispute Resolution Costs When Times are Tough and Improve Outcomes

Cost reduction is one of the desirable results frequently attributed to Alternative Dispute Resolution (ADR) processes. Although it is reasonable to assume that businesses always are interested in saving money, this goal takes on added importance when the economy is struggling. The cost savings inherent in ADR, which already are significant, can be increased substantially through the strategic adoption of technology. Although I generally do not urge caution when it comes to expanding the ways in which we use technology, we nonetheless must recognize not only technology’s potential benefits but also its possible pitfalls. It is relatively easy to identify some of the cost savings that can be achieved through greater reliance on technology. It can be somewhat more difficult, however, to identify the circumstances in which technology can create unanticipated costs. Fortunately, many of those costs can be avoided. This article identifies cost efficiencies that technology can bring to dispute resolution processes and also suggest how potential costs can be minimized or avoided. The article begins by examining the Technology Revolution. The emergence of technology mediated dispute resolution (TMDR) as an efficient and cost-effective means of resolving disputes illustrates the significant impact the Technology Revolution has had in the area of ADR. This article suggests why TMDR has not been embraced more enthusiastically. It then explores how we can use technology to make dispute resolution more effective and efficient and explains why, in light of a rapidly maturing technology savvy generation, we might have little choice but to embrace TMDR. The article next discusses Cybersettle and Smartsettle, two of the established TMDR programs available today. The following section provides additional reasons why the use of TMDR will increase, including the assertion that foreign nations’ decisions to expand TMDR will compel the United States to rely more heavily on TMDR. The article then examines the challenges raised by TMDR. These challenges include power imbalances; the possibility that TMDR software and platforms may exercise greater influence over the dispute resolution process than expected; and questions as to how we can involve artificial intelligence devices, robots, and avatars in our dispute resolution processes. Ideas for integrating artificial intelligence devices into TMDR processes are based upon the manner in which these devices already are being used in the health care industry. The article concludes by examining the dangers and financial costs of relying on avatars and robots, identifies sectors well positioned to use TMDR, and briefly raises the issue of whether we need to regulate TMDR

Anthropomorphism Is Not Always A Marketing Panacea: How Anthropomorphism Shapes Product Durability Perception.

This research examined anthropomorphism as a marketing tool in the new paradigms of green and online merchandising. Two experiments tested how product anthropomorphism affects consumers' product durability perception. Study 1 demonstrated that anthropomorphic design had a significant effect on reducing a product’s durability perception due to its greater perceived performance risk. Importantly, this research reveals an important boundary condition for the negative effect of anthropomorphism on perceived durability and performance risk. Study 2 demonstrated the moderating role of consumers' green consumption attitudes, where individuals with lower green consumption attitudes perceiving anthropomorphised products to have greater perceived performance risk and lesser durability than non-anthropomorphised products. These studies produced clear and significant outcomes that can be utilised in both theoretical and managerial implications. Therefore, although most extant research has shown that anthropomorphism enhances consumers' perceptions of a product, the current research demonstrates that anthropomorphising a product or its promotion can become a detrimental marketing strategy when aiming to project durability

Contextual Factors Affecting Information Sharing Patterns in Technology Mediated Communication

In this thesis, we investigate how and what contextual factors affect user’s information sharing. We build our work on six individual research projects which cover a variety of systems (search engines, social network sites, teleconferencing systems, monitoring technology, and general purpose conversational agents) in a variety of communication scenarios with diverse relationships and dispositions of users. Alongside detailed findings for particular systems and communication scenarios from each individual project, we provide a consolidated analysis of these results across systems and scenarios, which allows us to identify patterns specific for different system types and aspects shared between systems. In particular, we show that depending on the system’s position between a user and an intended information receiving agent – whether communication happens through, around, or directly with the system – the system should have different patterns of operational adaptation to communication context. Specifically, when communication happens through the system, the system needs to gather communication context unavailable to the user and integrate it into information communication; when communication happens around the system, the system should adapt its operations to provide information in the most contextually suitable format; finally, when a user communicates with the system, the role of the system is to “match” this context in communication with the user. We then argue that despite the differences between system types in patterns of required context-based adaptation, there are contextual factors affecting user’s information sharing intent that should be acknowledged across systems. Grounded in our cumulative findings and analysis of related literature, we identify four such high-level contextual factors. We then present these four factors synthesized into an early design framework, which we call SART according to the included factors of space, addressee, reason, and time. Each factor in SART is presented as a continuum defined through a descriptive dichotomy: perceived breadth of communication space (public to private); perceived specificity of an information addressee (defined to undefined); intended reason for information sharing (instrumental to objective); and perceived time of information relevance and life-span (immediate to indefinite)

Economic Fundamentals Of the Knowledge Society

This article provides an introduction to fundamental issues in the development of new knowledge-based economies. After placing their emergence in historical perspective and proposing a theoretical framework that distinguishes knowledge from information, the authors characterize the specific nature of such economies. They go on to deal with some of the major issues concerning the new skills and abilities required for integration into the knowledge-based economy; the new geography that is taking shape (where physical distance ceases to be such an influential constraint); the conditions governing access to both information and knowledge, not least for developing countries; the uneven development of scientific, technological (including organizational) knowledge across different sectors of activity; problems concerning intellectual property rights and the privatization of knowledge; and the issues of trust, memory and the fragmentation of knowledge. This monograph is concerned with the nature of the process of macroeconomic growth that has characterized the U. S. experience, and manifested itself in the changing pace and sources of the continuing rise real output per capita over the course of the past two hundred years. A key observation that emerges from the long-term quantitative economic record is that the proximate sources of increases in real GDP per head in the century between 1889 and 1999 were quite different from those which obtained during the first hundred years of American national experience. Baldly put, the economy's ascent to a position of twentieth century global industrial leadership entailed a transition from growth based upon the interdependent development and extensive exploitation of its natural resources and the substitution of tangible capital for labor, towards a the maintenance of an productivity leadership through rising rates of intangible investment in the formation and exploitation of technological and organizational knowledge.

How WEIRD is Usable Privacy and Security Research? (Extended Version)

In human factor fields such as human-computer interaction (HCI) and psychology, researchers have been concerned that participants mostly come from WEIRD (Western, Educated, Industrialized, Rich, and Democratic) countries. This WEIRD skew may hinder understanding of diverse populations and their cultural differences. The usable privacy and security (UPS) field has inherited many research methodologies from research on human factor fields. We conducted a literature review to understand the extent to which participant samples in UPS papers were from WEIRD countries and the characteristics of the methodologies and research topics in each user study recruiting Western or non-Western participants. We found that the skew toward WEIRD countries in UPS is greater than that in HCI. Geographic and linguistic barriers in the study methods and recruitment methods may cause researchers to conduct user studies locally. In addition, many papers did not report participant demographics, which could hinder the replication of the reported studies, leading to low reproducibility. To improve geographic diversity, we provide the suggestions including facilitate replication studies, address geographic and linguistic issues of study/recruitment methods, and facilitate research on the topics for non-WEIRD populations.Comment: This paper is the extended version of the paper presented at USENIX SECURITY 202