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A Systematic Review of Attitudes, Anxiety, Acceptance, and Trust Towards Social Robots
As social robots become more common, there is a need to understand how people perceive and interact with such technology. This systematic review seeks to estimate people’s attitudes toward, trust in, anxiety associated with, and acceptance of social robots; as well as factors that are associated with these beliefs. Ninety-seven studies were identified with a combined sample of over 13,000 participants and a standardized score was computed for each in order to represent the valence (positive, negative, or neutral) and magnitude (on a scale from 1 to − 1) of people’s beliefs about robots. Potential moderating factors such as the robots’ domain of application and design, the type of exposure to the robot, and the characteristics of potential users were also investigated. The findings suggest that people generally have positive attitudes towards social robots and are willing to interact with them. This finding may challenge some of the existing doubt surrounding the adoption of robotics in social domains of application but more research is needed to fully understand the factors that influence attitudes.
Journal Article
Taxing robots : helping the economy to adapt to the use of artificial intelligence
\"The increasing use of artificial intelligence within the workplace is likely to cause significant disruption to the labour market and in turn, to the economy, due to a reduction in the number of taxable workers. In this innovative book, Xavier Oberson proposes taxing robots as a possible solution to the anticipated problem of declining tax revenues. In accordance with guiding legal and economic principles, the book explores the various tax models that could be applied to both the use of robots, such as a usage or automation tax, and to robots directly. Numerous associated issues are discussed, such as the definition of robots for tax purposes, the difficulty of granting a tax capacity to robots, as well as the compatibility of robot taxes with international tax rules. The author concludes by putting forward a possible system for the taxation of robots, taking all of these issues into consideration. Being the first work of its kind to explore the potential for taxing robots in detail, this book will be a unique resource for researchers in the fields of law and economics who have an interest in the impact of artificial intelligence. Lawyers and tax professionals can also benefit from Oberson's insights on what future models of taxation may look like and what the legal consequences may be.\"--Back cover.
Book
Social Touch in Human–Robot Interaction: Robot-Initiated Touches can Induce Positive Responses without Extensive Prior Bonding
Social touch interactions can, depending on the type and strength of the dyadic social relationship, elicit a plethora of physiological, emotional, and behavioral responses; both beneficial and disadvantageous. With the intention to expand the communicative capabilities of humanoid social robots, we investigated whether robot-initiated touches could elicit beneficial responses in the human user that are comparable to responses to human touch. In addition, we investigated whether having a pre-existing
positive
social bond with the robot modulates these responses. To this end, we conducted a
2
×
2
between subjects experiment (
N
= 67) in which participants either did or did not establish a bond with the robot prior to interacting with it during stressful circumstances. This interaction either did or did not comprise robot-initiated touches. We hypothesized that robotic touches would attenuate the subjective and physiological stress responses during the stressful event (H1a), enhance the perceived relation with the robot (H1b), and increase one’s pro-social behavior (H1c), as contrasted with interactions without touch. Based on findings from human touch, we also expected that the effects of H1a and H1b would be more outspoken when a bond with the robot was established (H2). Our findings imply that robotic touches attenuated physiological stress responses and increased the perceived intimacy of the human–robot bond. No effects were found on pro-social behavior and all effects were independent of whether a bond was formed or not. Although no
full
support for our hypotheses was found, the findings suggest that robot-initiated touch can, under specific circumstances, be a valuable extension of a social robot’s nonverbal communication repertoire.
Journal Article
How Robots Influence Humans: A Survey of Nonverbal Communication in Social Human–Robot Interaction
As robots become more prevalent in society, investigating the interactions between humans and robots is important to ensure that these robots adhere to the social norms and expectations of human users. In particular, it is important to explore exactly how the nonverbal behaviors of robots influence humans due to the dominant role nonverbal communication plays in social interactions. In this paper, we present a detailed survey on this topic focusing on four main nonverbal communication modes: kinesics, proxemics, haptics, and chronemics, as well as multimodal combinations of these modes. We uniquely investigate findings that span across these different nonverbal modes and how they influence humans in four separate ways: shifting cognitive framing, eliciting emotional responses, triggering specific behavioral responses, and improving task performance. A detailed discussion is presented to provide insights on nonverbal robot behaviors with respect to the aforementioned influence types and to discuss future research directions in this field.
Journal Article
Towards a Theory of Longitudinal Trust Calibration in Human–Robot Teams
The introduction of artificial teammates in the form of autonomous social robots, with fewer social abilities compared to humans, presents new challenges for human–robot team dynamics. A key characteristic of high performing human-only teams is their ability to establish, develop, and calibrate trust over long periods of time, making the establishment of longitudinal human–robot team trust calibration a crucial part of these challenges. This paper presents a novel integrative model that takes a longitudinal perspective on trust development and calibration in human–robot teams. A key new proposed factor in this model is the introduction of the concept
relationship equity
. Relationship equity is an emotional resource that predicts the degree of goodwill between two actors. Relationship equity can help predict the future health of a long-term relationship. Our model is descriptive of current trust dynamics, predictive of the impact on trust of interactions within a human–robot team, and prescriptive with respect to the types of interventions and transparency methods promoting trust calibration. We describe the interplay between team trust dynamics and the establishment of work agreements that guide and improve human–robot collaboration. Furthermore, we introduce methods for dampening (reducing overtrust) and repairing (reducing undertrust) mis-calibrated trust between team members as well as methods for transparency and explanation. We conclude with a description of the implications of our model and a research agenda to jump-start a new comprehensive research program in this area.
Journal Article
Adaptive Side-by-Side Social Robot Navigation to Approach and Interact with People
This paper presents a new framework for how autonomous social robots approach and accompany people in urban environments. The method discussed allows the robot to accompany a person and approach to other one, by adapting its own navigation in anticipation of future interactions with other people or contact with static obstacles. The contributions of the paper are manifold: firstly, we extended the Social Force model and the Anticipative Kinodynamic Planner (Ferrer and Sanfeliu, in: IEEE/RSJ international conference on intelligent robots and systems. IEEE,
2014
) to the case of an adaptive side-by-side navigation; secondly, we enhance side-by-side navigation with an approaching task and a final positioning that allows the robot to interact with both people; and finally, we use findings from experiments of real-life observations of people walking in pairs to define the parameters of the human–robot interaction in our case of adaptive side-by-side. The method was validated by a large set of simulations; we also conducted real-life experiments with our robot, Tibi, to validate the framework described for the interaction process. In addition, we carried out various surveys and user studies to indicate the social acceptability of the robots performance of the accompanying, approaching and positioning tasks.
Journal Article
Success factors for introducing industrial human-robot interaction in practice: an empirically driven framework
Human-robot interaction (HRI) promises to be a means whereby manufacturing companies will be able to address current challenges like a higher demand for customization. However, despite comparably low costs, there are only few applications in practice. To date, it remains unclear which factors facilitate or hinder the successful introduction of industrial collaborative robots (cobots). In a three-step approach, we first developed a comprehensive two-dimensional framework covering three separate phases and four essential components for human-robot working systems. Secondly, we reviewed related literature to identify relevant success factors. Thirdly, in an online survey we asked leading representatives of German manufacturing companies (
n
= 81) to assess the importance of these factors from a practical point of view. The results reveal that besides technology-related factors like occupational safety and appropriate cobot configuration, employee-centered factors like the fear of job loss and ensuring an appropriate level of trust in the robot are considered important. However, company representatives seem to underestimate the impact of subtle measures to increase employee acceptance which could be incorporated into internal communication strategies prior to and during the introduction of cobots. Comparative analysis based on three distinct application scenarios suggests that most success factors’ practical importance is independent of the motivation for implementing HRI. Furthermore, answers from practitioners in free-text fields reveal that success factors which intuitively come to their mind such as financial factors are not necessarily perceived most important. Finally, we argue for more application-oriented research that focuses on practically relevant factors to guide HRI research, inform cobot development, and support companies in overcoming apparent barriers.
Journal Article
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.
Journal Article
Social Acceptance of Robots in Different Occupational Fields: A Systematic Literature Review
Robots today are working in both industrial and service sectors. Robots have evolved from one-function automatons to intelligent systems of versatile features, and the new generation of service robots are sharing same space and tasks with humans. The aim of this systematic literature review was to examine how the social acceptance of robots in different occupational fields has been studied and what kinds of attitudes the studies have discovered regarding robots as workers. The data were collected in October 2016 from four major bibliographic databases. Preliminary search results included 336 research articles from which 42 were selected to the final research through inclusion criteria. Of the studies, 69% concerned robots working in health and social services. Positive attitudes occurred more frequently in studies exposing participants to robots. Robots were considered appropriate for different work tasks. Telepresence robots were highly approved by health care staff. The criticism was directed to decreasing human contact and unnecessary deployment of new technology. Our results imply that attitudes toward robots are positive in many fields of work. Yet there is a need for validated measures and nationally representative data that would help us to further our understanding of social acceptance of robots in work.
Journal Article