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2018
Honig, S. S.; Oron-Gilad, T.; Zaichyk, H.; Sarne-Fleischmann, V.; Olatunji, S.; Edan, Y. (2018): Toward Socially Aware Person-Following Robots. In: IEEE Transactions on Cognitive and Developmental Systems 10 (4), S. 936-954. DOI: 10.1109/TCDS.2018.2825641

DOI: https://doi.org/10.1109/TCDS.2018.2825641

Abstract: Significant research and development has been invested in technical issues related to person following. However, a systematic approach for designing robotic person-following behavior that maintains appropriate social conventions across contexts has not yet been developed. To understand why this may be the case, an in-depth literature review of 221 articles on person-following robots was performed, from which 107 are referenced. From these papers, six relevant topics were identified that shed light on the types of social interactions that have been studied in person-following scenarios: 1) applications; 2) robotic systems; 3) environments; 4) following strategies; 5) human-robot communication; and 6) evaluation methods. Gaps in the existing research on person-following robots were identified, mainly in addressing social interaction and user needs, noting that only 25 articles reported proper user studies. Human-related, robot-related, task-related, and environment-related factors that are likely to influence people’s spatial preferences and expectations of a robot’s person-following behavior are then discussed. To guide the design of socially aware person following robots, a user-needs layered design framework that combines the four factor categories is proposed. The framework provides a systematic way to incorporate social considerations in the design of person-following robots. Finally, framework limitations and future challenges in the field are presented and discussed.

Keywords: Accompanying robot, Angemessen(heit) (von Technik), environment-related factors, human-related factors, human-robot interaction, Human–robot interaction (HRI), ieee xplore, Legged locomotion, Mobile robots, Navigation, person-following, Proxemics, Robot sensing systems, robotic person-following behavior, robot-related factors, service robot, social interaction, Social interactions, Social robotic, social sciences, socially aware person-following robots, Task Analysis, task-related factors, user needs
2017
Burgoon, Judee K.; Magnenat-Thalmann, Nadia; Pantic, Maja (Hg.) (2017): Social signal processing. Cambridge: Cambridge University Press

Abstract: Social Signal Processing is the first book to cover all aspects of the modeling, automated detection, analysis, and synthesis of nonverbal behavior in human-human and human-machine interactions. Authoritative surveys address conceptual foundations, machine analysis and synthesis of social signal processing, and applications. Foundational topics include affect perception and interpersonal coordination in communication; later chapters cover technologies for automatic detection and understanding such as computational paralinguistics and facial expression analysis and for the generation of artificial social signals such as social robots and artificial agents. The final section covers a broad spectrum of applications based on social signal processing in healthcare, deception detection, and digital cities, including detection of developmental diseases and analysis of small groups. Each chapter offers a basic introduction to its topic, accessible to students and other newcomers, and then outlines challenges and future perspectives for the benefit of experienced researchers and practitioners in the field.

Keywords: Computer vision, Computerwissenschaft, Disziplin, doppelter Treffer, Favoriten, Human behaviour analysis', Interaktion, Mensch-Technik-Relationen (MTR), Modelle/Theorien, Realtechnik, Sammelband, Signal, Signale, Signaling social preferences/ Social signal processing, Social interactions, social signal processing, Social Signal Processing (SSP), social signalling, Social signals, Soziale Angemessenheit, soziale Kognition, Soziosensitive Systeme, speech processing, Technik
2008
Lim, H. C.; Stocker, R.; Larkin, H. (2008) : Ethical Trust and Social Moral Norms Simulation: A Bio-inspired Agent-Based Modelling Approach: 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2: Washington, DC, US: IEEE Computer Society, S. 245-251

DOI: https://doi.org/10.1109/WIIAT.2008.184

Abstract: The understanding of the micro-macro link is an urgent need in the study of social systems. The complex adaptive nature of social systems adds to the challenges of understanding social interactions and system feedback and presents substantial scope and potential for extending the frontiers of computer-based research tools such as simulations and agent-based technologies. In this project, we seek to understand key research questions concerning the interplay of ethical trust at the individual level and the development of collective social moral norms as representative sample of the bigger micro-macro link of social systems. We outline our computational model of ethical trust (CMET) informed by research findings from trust, machine ethics and neural science. Guided by the CMET architecture, we discuss key implementation ideas for the simulations of ethical trust and social moral norms.

Keywords: Adaptive systems, Agent Ensemble, Analytical models, Australia, bio-inspired agent, complex adaptive nature, computational model, Computational modeling, Computer Simulation, computer-based research tools, Context modeling, ethical aspects, ethical trust, Ethics, ieee xplore, intelligent agent, Intelligent structures, micromacro link, Moral & Ethik, moral norms, Object oriented modeling, research questions, Social interactions, social moral norms simulation, social sciences

2018

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2008

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