593 research outputs found

    Come Closer: The Effects of Robot Personality on Human Proxemics Behaviours

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    Social Robots in human environments need to be able to reason about their physical surroundings while interacting with people. Furthermore, human proxemics behaviours around robots can indicate how people perceive the robots and can inform robot personality and interaction design. Here, we introduce Charlie, a situated robot receptionist that can interact with people using verbal and non-verbal communication in a dynamic environment, where users might enter or leave the scene at any time. The robot receptionist is stationary and cannot navigate. Therefore, people have full control over their personal space as they are the ones approaching the robot. We investigated the influence of different apparent robot personalities on the proxemics behaviours of the humans. The results indicate that different types of robot personalities, specifically introversion and extroversion, can influence human proxemics behaviours. Participants maintained shorter distances with the introvert robot receptionist, compared to the extrovert robot. Interestingly, we observed that human-robot proxemics were not the same as typical human-human interpersonal distances, as defined in the literature. We therefore propose new proxemics zones for human-robot interaction.Comment: Author Accepted Manuscript- 8 pages, RO-MAN'23, 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), August 2023, Busan, South Kore

    The Visual Social Distancing Problem

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    One of the main and most effective measures to contain the recent viral outbreak is the maintenance of the so-called Social Distancing (SD). To comply with this constraint, workplaces, public institutions, transports and schools will likely adopt restrictions over the minimum inter-personal distance between people. Given this actual scenario, it is crucial to massively measure the compliance to such physical constraint in our life, in order to figure out the reasons of the possible breaks of such distance limitations, and understand if this implies a possible threat given the scene context. All of this, complying with privacy policies and making the measurement acceptable. To this end, we introduce the Visual Social Distancing (VSD) problem, defined as the automatic estimation of the inter-personal distance from an image, and the characterization of the related people aggregations. VSD is pivotal for a non-invasive analysis to whether people comply with the SD restriction, and to provide statistics about the level of safety of specific areas whenever this constraint is violated. We then discuss how VSD relates with previous literature in Social Signal Processing and indicate which existing Computer Vision methods can be used to manage such problem. We conclude with future challenges related to the effectiveness of VSD systems, ethical implications and future application scenarios.Comment: 9 pages, 5 figures. All the authors equally contributed to this manuscript and they are listed by alphabetical order. Under submissio

    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

    Classifying Service Robots for Policy

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    The internet of toys: a posthuman and multimodal analysis of connected play

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    Background: The study that is reported in this paper focuses on an exploration of the role and nature of play in young children’s use of toys that connect physical and digital domains. Purpose: The purpose of the paper is to explore the nature of the connections that are made in play that transverses physical and virtual domains. The paper draws on post-human theory in order to explain some of the complexity of the play that occurs in these contexts. Research Design: The research took place in the UK and the overall study consisted of four distinct stages: (i) A survey of 2000 parents of children aged 0-5, focusing on children’s access to and use of tablet apps; (ii) Case studies of pre-school children’s use of apps in six families (iii) Observations of children aged 3-5 in a school using apps (iv) Content and multimodal analysis of apps. The focus of this paper is on (ii), although some of the survey data from the first stage of the study are also shared in order to provide context. Data Collection and Analysis: The focus for this paper is the play of a threeyear old girl, Amy. In addition to ethnographic data constructed over a 2- month period (field notes, interviews, photographs and films), Amy’s mother collected data between the researchers’ visit by making films of her daughter’s use of apps. Amy also collected data herself by wearing a GoPro Chestcam. The data that informs the analysis in this paper is a film created by Amy (11.05 minutes) and a video filmed by Amy’s mother (5.21 minutes). Data were both inductively analyzed using multimodal (inter)action analysis and deductively analysed, utilizing a posthumanist approach. Findings: Amy’s play connected digital and non-digital components in complex ways. An app and related physical object that typify the Internet of Toys provided opportunities for Amy’s play to take place across physical and digital domains, and the inorganic objects embedded in the electronic toy and related app were an important element of this play, shaping Amy’s responses at times. However, Amy’s play was not always determined by the design of the electronic objects and she demonstrated agency within play episodes. There were multiple connections made across a variety of domains/ dimensions, which added to the complexity of the play. Conclusions/Recommendations: Young children’s play increasingly connects digital and non-digital domains and post-humanist theories can enhance understanding of how connections across these time/spaces are made

    Envisioning social drones in education

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    Education is one of the major application fields in social Human-Robot Interaction. Several forms of social robots have been explored to engage and assist students in the classroom environment, from full-bodied humanoid robots to tabletop robot companions, but flying robots have been left unexplored in this context. In this paper, we present seven online remote workshops conducted with 20 participants to investigate the application area of Education in the Human-Drone Interaction domain; particularly focusing on what roles a social drone could fulfill in a classroom, how it would interact with students, teachers and its environment, what it could look like, and what would specifically differ from other types of social robots used in education. In the workshops we used online collaboration tools, supported by a sketch artist, to help envision a social drone in a classroom. The results revealed several design implications for the roles and capabilities of a social drone, in addition to promising research directions for the development and design in the novel area of drones in education
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