Alle Publikationen
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2017
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(2017): How can the study of action kinematics inform our understanding of human social interaction?. In: Neuropsychologia 105, S. 101-110. DOI: 10.1016/j.neuropsychologia.2017.01.018
DOI: http://www.ncbi.nlm.nih.gov/pubmed/28119002 Abstract: The kinematics of human actions are influenced by the social context in which they are performed. Motion-capture technology has allowed researchers to build up a detailed and complex picture of how action kinematics vary across different social contexts. Here we review three task domains-point-to-point imitation tasks, motor interference tasks and reach-to-grasp tasks-to critically evaluate how these tasks can inform our understanding of social interactions. First, we consider how actions within these task domains are performed in a non-social context, before highlighting how a plethora of social cues can perturb the baseline kinematics. We show that there is considerable overlap in the findings from these different tasks domains but also highlight the inconsistencies in the literature and the possible reasons for this. Specifically, we draw attention to the pitfalls of dealing with rich, kinematic data. As a way to avoid these pitfalls, we call for greater standardisation and clarity in the reporting of kinematic measures and suggest the field would benefit from a move towards more naturalistic tasks.
Keywords: Favoriten, Imitation, Interaktion, interference of social interaction, Kinematics, kinematics and social interaction, Kinematik, kinematische Dimension, Kontext, Körperbewegungen / Kinematik, Modelle/Theorien, Motor, Observablen/Kriterien für sozial angemessenes Verhalten und dessen Bewertung, social, social interaction, Soziale Angemessenheit -
(2017) : A study on the social acceptance of a robot in a multi-human interaction using an F-formation based motion model: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS): Vancouver, British Columbia, Canada: IEEE, S. 2766-2771
DOI: https://doi.org/10.1109/IROS.2017.8206105 Abstract: As robots participate in human’s daily activities more and more frequently, mobility performance has become one of the main factors determining how robots will share an environment with humans harmoniously in the near future. Among several different kinds of mobile platforms, using omnidirectional configurations is gradually becoming a trend in the robotics community; however, few researchers have addressed the impact of omnidirectional mobility from the perspective of human-robot interaction (HRI). In this paper, we have proposed a socializing model for the robot while participating in an interaction with a group of human peers to achieve its socially optimal position. From a theoretic perspective, we first identify the most prominent features required for social acceptance of robots interacting with multiple humans, backing our arguments with relevant sociological theory. To validate our results, we have conducted experiments where human participants were invited to interact with a robot, which can be constrained to perform either holonomic or nonholonomic motions only. Then, through an observer survey, we testify the appropriateness of utilizing omnidirectional mobility and verify the promotion of social acceptance using the aforementioned features, which is a goal that both the HRI and robotics communities aim to achieve.
Keywords: Angemessen(heit) (von Technik), Collision avoidance, F-formation based motion model, human-robot interaction, ieee xplore, Kinematics, Legged locomotion, mobile platforms, Mobile robots, mobility performance, multihuman interaction, Navigation, omnidirectional configurations, omnidirectional mobility, robotics community, service robot, Social Acceptance, socializing model 2015
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(2015) : Robot Form and Motion Influences Social Attention: 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI): Portland, Oregon, USA: Association for Computing Machinery, S. 43-50
Abstract: For social robots to be successful, they need to be accepted by humans. Human-robot interaction (HRI) researchers are aware of the need to develop the right kinds of robots with appropriate, natural ways for them to interact with humans. However, much of human perception and cognition occurs outside of conscious awareness, and how robotic agents engage these processes is currently unknown. Here, we explored automatic, reflexive social attention, which operates outside of conscious control within a fraction of a second to discover whether and how these processes generalize to agents with varying humanlikeness in their form and motion. Using a social variant of a well-established spatial attention paradigm, we tested whether robotic or human appearance and/or motion influenced an agent’s ability to capture or direct implicit social attention. In each trial, either images or videos of agents looking to one side of space (a head turn) were presented to human observers. We measured reaction time to a peripheral target as an index of attentional capture and direction. We found that all agents, regardless of humanlike form or motion, were able to direct spatial attention in the cued direction. However, differences in the form of the agent affected attentional capture, i.e., how quickly the observers could disengage attention from the agent and respond to the target. This effect further interacted with whether the spatial cue (head turn) was presented through static images or videos. Overall whereas reflexive social attention operated in the same manner for human and robot social agents for spatial attentional cueing, robotic appearance, as well as whether the agent was static or moving significantly influenced unconscious attentional capture processes. These studies reveal how unconscious social attentional processes operate when the agent is a human vs. a robot, add novel manipulations to the literature such as the role of visual motion, and provide a link between attention studies in HRI, and decades of research on unconscious social attention in experimental psychology and vision science.Categories and Subject Descriptors H.1.2 [Models and Principles]: User/Machine Systems -Human factors. H.5.2 [Information Interfaces and Presentation]: User Interfaces - Evaluation/methodology, User-Centered DesignGeneral TermsDesign, Human Factors.
Keywords: Angemessen(heit) (von Technik), automatic attention, Biology, Cognition, conscious awareness, conscious control, cued direction, Experimental Psychology, head turn, HRI, human appearance, Human Factors, human observers, human perception, humanlike form, Humanlikeness, human-robot interaction, Human-robot interaction researchers, ieee xplore, implicit social attention, Kinematics, Mobile robots, motion influences social attention, PSYCHOLOGY, reflexive social attention, robot design, robot form, Robot sensing systems, robotic agents, robotic appearance, Social Attention, social robots, social variant, Spatial Attention, spatial attention paradigm, spatial attentional cueing, spatial cue, static images, Time measurement, unconscious attentional capture processes, unconscious social attention, unconscious social attentional processes, user interfaces, User/Machine Systems-Human factors, varying humanlikeness, Videos, visual motion, Visual Perception
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