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  • 2013

  • Koay, K. L.; Lakatos, G.; Syrdal, D. S.; Gacsi, M.; Bereczky, B.; Dautenhahn, K.; Miklosi, A.; Walters, M. L. (2013) : Hey! There is someone at your door. A hearing robot using visual communication signals of hearing dogs to communicate intent: 2013 IEEE Symposium on Artificial Life (ALIFE): 16-19 April 2013, Singapore ; [part of the] 2013 IEEE Symposium Series on Computational Intelligence (SSCI): 2013 IEEE Symposium on Artificial Life (ALife): Singapore, Singapore: 4/16/2013 - 4/19/2013. Annual IEEE Computer Conference; IEEE Symposium on Artificial Life; Alife; IEEE Symposium Series on Computational Intelligence; Ssci: Piscataway, NJ: IEEE, S. 90-97

    Abstract: This paper presents a study of the readability of dog-inspired visual communication signals in a human-robot interaction scenario. This study was motivated by specially trained hearing dogs which provide assistance to their deaf owners by using visual communication signals to lead them to the sound source. For our human-robot interaction scenario, a robot was used in place of a hearing dog to lead participants to two different sound sources. The robot was preprogrammed with dog-inspired behaviors, controlled by a wizard who directly implemented the dog behavioral strategy on the robot during the trial. By using dog-inspired visual communication signals as a means of communication, the robot was able to lead participants to the sound sources (the microwave door, the front door). Findings indicate that untrained participants could correctly interpret the robot's intentions. Head movements and gaze directions were important for communicating the robot's intention using visual communication signals.

    Keywords: Blick / Gaze, dog-inspired behaviour, Hund, Intentionserkennung (Mensch erkennt Roboterintention), Nonverbale Kommunikation, Robotics, Signale, Soziosensitive Systeme, Soziosensitivität, Tier und Maschine, Tier, Mensch, Maschine, visual communication, visual cues, visuelle Kommunikation

  • 2012

  • 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
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