642 research outputs found

    The perception of emotion in artificial agents

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    Given recent technological developments in robotics, artificial intelligence and virtual reality, it is perhaps unsurprising that the arrival of emotionally expressive and reactive artificial agents is imminent. However, if such agents are to become integrated into our social milieu, it is imperative to establish an understanding of whether and how humans perceive emotion in artificial agents. In this review, we incorporate recent findings from social robotics, virtual reality, psychology, and neuroscience to examine how people recognize and respond to emotions displayed by artificial agents. First, we review how people perceive emotions expressed by an artificial agent, such as facial and bodily expressions and vocal tone. Second, we evaluate the similarities and differences in the consequences of perceived emotions in artificial compared to human agents. Besides accurately recognizing the emotional state of an artificial agent, it is critical to understand how humans respond to those emotions. Does interacting with an angry robot induce the same responses in people as interacting with an angry person? Similarly, does watching a robot rejoice when it wins a game elicit similar feelings of elation in the human observer? Here we provide an overview of the current state of emotion expression and perception in social robotics, as well as a clear articulation of the challenges and guiding principles to be addressed as we move ever closer to truly emotional artificial agents

    How Do You Like Me in This: User Embodiment Preferences for Companion Agents

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    We investigate the relationship between the embodiment of an artificial companion and user perception and interaction with it. In a Wizard of Oz study, 42 users interacted with one of two embodiments: a physical robot or a virtual agent on a screen through a role-play of secretarial tasks in an office, with the companion providing essential assistance. Findings showed that participants in both condition groups when given the choice would prefer to interact with the robot companion, mainly for its greater physical or social presence. Subjects also found the robot less annoying and talked to it more naturally. However, this preference for the robotic embodiment is not reflected in the users’ actual rating of the companion or their interaction with it. We reflect on this contradiction and conclude that in a task-based context a user focuses much more on a companion’s behaviour than its embodiment. This underlines the feasibility of our efforts in creating companions that migrate between embodiments while maintaining a consistent identity from the user’s point of view

    The influence of culture on attitudes towards humanoid and animal‐like robots: an integrative review

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    Purpose The aim of the present review is to explore the influence of culture on attitudes towards humanoid and animal‐like robots. Design An integrative review of current evidence. Methods Medline, CINAHL, PsycInfo, PubMed, and Google Scholar were searched from 2000 to 2017. A total of 22 articles met the inclusion criteria and were retrieved and analyzed. Findings Culture influences attitudes and preferences towards robots, but due to the limitations of the reviewed studies, concrete conclusions cannot be made. More consistent evidence was found with regard to the influence of culture on nonverbal behaviors and communication styles, with people being more accepting of a robot that behaved more closely to their own culture. Conclusions The research field of human–robot interaction provides the current evidence on the influence that culture has on attitudes towards humanoid and animal‐like robots, but more research that is guided by strong theoretical frameworks is needed. Clinical Relevance With the increased use of humanoid robots in the healthcare system, it is imperative that nurses and other healthcare professionals explore and understand the different factors that can affect the use of robots with patients

    또 다른 인간의 동반자: 동물의 권리를 로봇에게도?

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    학위논문 (석사) -- 서울대학교 대학원 : 국제대학원 국제학과(국제협력전공), 2020. 8. Jiyeoun Song.This paper considers the academic debate on and different responses to the emergence of lifelike social robots as others from humans in society. The philosophical issues surrounding legal rights that are raised by this regulatory issue will be analyzed by deploying a 2x2 matrix based on two modalities: can and should social robots have rights? On these two questions, this thesis examines how the legal treatment of animals, the original others, has evolved historically, and how the animal-robot analogy, which encourages an understanding of social robots as analogues of animals, has risen to prominence as a line of argument to push for the extension of legal rights to protect social robots akin to animals. Using the same modalities, other positions on robot rights will be examined to suggest that the debate on robot rights shows parallels to the debate on animal rights and can be modeled along similar lines. In doing so, this thesis provides an overview of the current rights debate and suggests that the robot rights debate may follow a similar trajectory to the animal rights debate in the future.I. INTRODUCTION 1 II. LITERATURE REVIEW 8 II.1. ANALYSIS 9 II.1.1. On Social Robots 9 II.1.2. On Anthropomorphism 12 II.1.3. On the Comparison between Animal and Robot Rights 14 II.2. LIMITATIONS 16 III. METHODOLOGY 18 IV. DEFINING SOCIAL ROBOTS: WHY DO WE TALK ABOUT THEM? 22 IV.1. BACKGROUND 22 IV.2. EXAMPLES OF SOCIAL ROBOTS 25 IV.3. ANTHROPOMORPHISM AS INTENTIONAL DESIGN CHOICE 27 V. THE ANIMAL RIGHTS DEBATE 34 V.1. BACKGROUND 34 V.2. DEBATE ANALYSIS: FROM INDIFFERENCE TO ADVOCACY 35 V.3. CONTEMPORARY PERSPECTIVE 44 VI. THE ROBOT RIGHTS DEBATE 49 VI.1. BACKGROUND 49 VI.2. DEBATE ANALYSIS: FROM TOOLS TO SOCIAL ENTITIES 51 VI.2.1. Q1: Since social robots cannot have rights, they should not have rights. 52 VI.2.2. Q2: Even though social robots cannot have rights, they should have rights. 55 VI.2.3. Q3: Even though social robots can have rights, they should not have rights. 59 VI.2.4. Q4: Since social robots can have rights, they should have rights. 62 VI.2.5. The Dynamics of The Discourse 64 VI.3. THE ANIMAL-ROBOT ANALOGY 73 VI.4. CONTEMPORARY PERSPECTIVE 86 VII. CONCLUSION 89 VIII. REFERENCES 92Maste

    The Impact of Social Expectation towards Robots on Human-Robot Interactions

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    This work is presented in defence of the thesis that it is possible to measure the social expectations and perceptions that humans have of robots in an explicit and succinct manner, and these measures are related to how humans interact with, and evaluate, these robots. There are many ways of understanding how humans may respond to, or reason about, robots as social actors, but the approach that was adopted within this body of work was one which focused on interaction-specific expectations, rather than expectations regarding the true nature of the robot. These expectations were investigated using a questionnaire-based tool, the University of Hertfordshire Social Roles Questionnaire, which was developed as part of the work presented in this thesis and tested on a sample of 400 visitors to an exhibition in the Science Gallery in Dublin. This study suggested that responses to this questionnaire loaded on two main dimensions, one which related to the degree of social equality the participants expected the interactions with the robots to have, and the other was related to the degree of control they expected to exert upon the robots within the interaction. A single item, related to pet-like interactions, loaded on both and was considered a separate, third dimension. This questionnaire was deployed as part of a proxemics study, which found that the degree to which participants accepted particular proxemics behaviours was correlated with initial social expectations of the robot. If participants expected the robot to be more of a social equal, then the participants preferred the robot to approach from the front, while participants who viewed the robot more as a tool preferred it to approach from a less obtrusive angle. The questionnaire was also deployed in two long-term studies. In the first study, which involved one interaction a week over a period of two months, participant social expectations of the robots prior to the beginning of the study, not only impacted how participants evaluated open-ended interactions with the robots throughout the two-month period, but also how they collaborated with the robots in task-oriented interactions as well. In the second study, participants interacted with the robots twice a week over a period of 6 weeks. This study replicated the findings of the previous study, in that initial expectations impacted evaluations of interactions throughout the long-term study. In addition, this study used the questionnaire to measure post-interaction perceptions of the robots in terms of social expectations. The results from these suggest that while initial social expectations of robots impact how participants evaluate the robots in terms of interactional outcomes, social perceptions of robots are more closely related to the social/affective experience of the interaction

    Analyzing children's expectations from robotic companions in educational settings

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    The use of robots as educational partners has been extensively explored, but less is known about the required characteristics these robots should have to meet children's expectations. Thus the purpose of this study is to analyze children's assumptions regarding morphology, functionality, and body features, among others, that robots should have to interact with them. To do so, we analyzed 142 drawings from 9 to 10 years old children and their answers to a survey provided after interacting with different robotic platforms. The main results convey on a gender-less robot with anthropomorphic (but machine-like) characteristics

    A Review of Personality in Human Robot Interactions

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    Personality has been identified as a vital factor in understanding the quality of human robot interactions. Despite this the research in this area remains fragmented and lacks a coherent framework. This makes it difficult to understand what we know and identify what we do not. As a result our knowledge of personality in human robot interactions has not kept pace with the deployment of robots in organizations or in our broader society. To address this shortcoming, this paper reviews 83 articles and 84 separate studies to assess the current state of human robot personality research. This review: (1) highlights major thematic research areas, (2) identifies gaps in the literature, (3) derives and presents major conclusions from the literature and (4) offers guidance for future research.Comment: 70 pages, 2 figure

    Views of nurses and other health and social care workers on the use of assistive humanoid and animal-like robots in health and social care: a scoping review

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    Background: Robots are introduced and used in many health and social care settings, from the operating room to the care of older adults with dementia. Objectives: The goal of this scoping review is to provide an overview of the existing evidence related to the views of nursing staff and other health and social care workers about the use of assistive humanoid and animal-like robots in the health and social care sector. Methods: Using the Joanna Briggs Institute guidelines we searched MEDLINE, PUBMED, CINHAL, EMBASE, PsycInfo, Web of Science, and IEEE Xplore digital library. Nineteen (19) articles met the inclusion and exclusion criteria and were retrieved, reviewed and summarised. Results: Health and social care workers reported mixed views regarding the use of robots in a healthcare setting. They mainly focused on the impact that robots could have on their patients and not to themselves. They considered an array of tasks that robots could perform; they addressed the issue of patient safety and raised concerns about privacy. Conclusions: A limited number of studies have explored the views of health and social care workers about the use of robots. Considering the fast pace with which technology is advancing in the care field, and with professionals in health and social care increasingly being asked to use such technologies, it is critical to conduct more research in this area Impact Statement: Robots will increasingly have a role to play in nursing, health and social care. The potential impact will be challenging for the healthcare workforce. It is therefore important for nurses and other health and social care workers to engage in discussion regarding the contribution of robots and their impact not only on nursing care but also on future roles of health and social care workers

    Four-features evaluation of text to speech systems for three social robots

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    The success of social robotics is directly linked to their ability of interacting with people. Humans possess verbal and non-verbal communication skills, and, therefore, both are essential for social robots to get a natural human&-robot interaction. This work focuses on the first of them since the majority of social robots implement an interaction system endowed with verbal capacities. In order to do this implementation, we must equip social robots with an artificial voice system. In robotics, a Text to Speech (TTS) system is the most common speech synthesizer technique. The performance of a speech synthesizer is mainly evaluated by its similarity to the human voice in relation to its intelligibility and expressiveness. In this paper, we present a comparative study of eight off-the-shelf TTS systems used in social robots. In order to carry out the study, 125 participants evaluated the performance of the following TTS systems: Google, Microsoft, Ivona, Loquendo, Espeak, Pico, AT&T, and Nuance. The evaluation was performed after observing videos where a social robot communicates verbally using one TTS system. The participants completed a questionnaire to rate each TTS system in relation to four features: intelligibility, expressiveness, artificiality, and suitability. In this study, four research questions were posed to determine whether it is possible to present a ranking of TTS systems in relation to each evaluated feature, or, on the contrary, there are no significant differences between them. Our study shows that participants found differences between the TTS systems evaluated in terms of intelligibility, expressiveness, and artificiality. The experiments also indicated that there was a relationship between the physical appearance of the robots (embodiment) and the suitability of TTS systems.The research leading to these results has received funding from the projects: “Development of social robots to help seniors with cognitive impairment (ROBSEN)”, funded by the Ministerio de Economía y Competitividad; “RoboCity2030-DIH-CM”, funded by Comunidad de Madrid and co-funded by Structural Funds of the EU; “Robots Sociales para estimulación física, cognitiva y afectiva de mayores (ROSES)” funded by Agencia Estatal de Investigación (AEI).Publicad

    A Sociable Humanoid Autonomous Robotic Platform (the SHARP Project): An evaluation of the G.E.N.E.S.I.S. robot as an interactive consumer robotic platform

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    The Social Humanoid Autonomous Robotic Platform (SHARP) project is an android project that was created with the intent of making learning about androids and robotics easier for the novice, diverse for the expert, educational in the classroom, and useful in the home or business. The project centers itself on its simplicity, low cost, and expandability. This paper illustrates how the SHARP Project has the potential to be an affordable fit in nearly every modern setting. The introduction of the SHARP project lays the groundwork for people of many ages, incomes, and educational levels to take advantage of robotics technology. The SHARP project features research based, in part, on a personal android project named G.E.N.E.S.I.S. as an example of the SHARP project\u27s features. The features of G.E.N.E.S.I.S. include voice recognition, speech synthesis, and responses to various sensor stimuli which help encourage human-robot interaction. This study uses survey results to examine the factors that make these robots desirable to consumers and identifies which factors make some robots more sociable than others. The study concludes with an evaluation of the G.E.N.E.S.I.S. robotic platform and suggests an appropriate market niche for this and other similar sociable humanoid robotic platforms
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