poliTE-Literatur-Datenbank

van Greunen, Darelle (2019) : User Experience for Social Human-Robot Interactions: 2019 Amity International Conference on Artificial Intelligence (AICAI): Dubai, United Arab Emirates: IEEE, S. 32-36

DOI: https://doi.org/10.1109/AICAI.2019.8701332

Abstract: A significant threat social robots often faces is that their integration in real social, human environments will dehumanise some of the roles currently being played by the humans. This perception implicitly overestimates the social skills of the robots, which despite being continually upgraded, are still far from being able to dominate humans entirely. It also reflects loosely fears that robots may overcome humans in the near future and impact on the need to employ humans. This paper aims to address the role and relevance of user experience of socially interactive robots, separating several issues related to the evaluation of social human-robot interaction and then more specifically how this should be considered in developing countries where socially interactive robots are viewed with resistance and apprehension.

Keywords: Developing Countries, human environments, human-robot interaction, ieee xplore, Künstliche Intelligenz, Mobile robots, Robot sensing systems, service robot, Social Environments, social human-robot interaction, social robots, Social Skills, socially interactive robots, User acceptance, user experience

Das, D.; Hoque, M. M.; Onuki, T.; Kobayashi, Y.; Kuno, Y. (2012) : Vision-based attention control system for socially interactive robots: 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication: Paris, France: IEEE, S. 496-502

DOI: https://doi.org/10.1109/ROMAN.2012.6343800

Abstract: A social robot needs to attract the attention of a target human and shift it from his/her current focus to what is sought by the robot. The robot should recognize the current target’s attention level to smoothly perform this attention control. In this paper, we propose a vision-based system to detect the level of attention or willingness of the target person towards the robot and to control his/her attention. The system estimates the attention level from rich visual cues of human’s face and head. Then, by timing target’s attention to determine the appropriate attention level, it generates aware signals and makes eye contact with the target. Finally, the robot shifts the target’s attention to an intended direction. The experimental results reveal that the proposed system is effective in controlling the target’s attention.

Keywords: Angemessen(heit) (von Technik), attention control, Control systems, Estimation, eye contact, Face, human-robot interaction, Humans, ieee xplore, robot vision, Robots, socially interactive robots, target attention level, vision-based attention control system, visual cues, Visualization

Gockley, R.; Simmons, R.; Forlizzi, J. (2006) : Modeling Affect in Socially Interactive Robots: ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication: ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human: Hatfield, UK: IEEE, S. 558-563

DOI: https://doi.org/10.1109/ROMAN.2006.314448

Abstract: Humans use expressions of emotion in a very social manner, to convey messages such as "I'm happy to see you" or "I want to be comforted," and people's long-term relationships depend heavily on shared emotional experiences. We believe that for robots to interact naturally with humans in social situations they should also be able to express emotions in both short-term and long-term relationships. To this end, we have developed an affective model for social robots. This generative model attempts to create natural, human-like affect and includes distinctions between immediate emotional responses, the overall mood of the robot, and long-term attitudes toward each visitor to the robot. This paper presents the general affect model as well as particular details of our implementation of the model on one robot, the Roboceptionist

Keywords: Cultural differences, Displays, emotion & social robotics, emotion recognition, Global communication, human emotion, Human robot interaction, Humanoid Robots, ieee xplore, interactive systems, man-machine systems, Medical services, Mood, Orbital robotics, Roboceptionist, Senior citizens, Social robotic, socially interactive robots