Alle Publikationen
- <<
- <
- 1
2017
-
(2017): Power Moves Beyond Complementarity. A Staring Look Elicits Avoidance in Low Power Perceivers and Approach in High Power Perceivers. In: Personality & social psychology bulletin 43 (8), S. 1188-1201. DOI: 10.1177/0146167217708576
DOI: http://www.ncbi.nlm.nih.gov/pubmed/28903712 Abstract: Sustained, direct eye-gaze—staring—is a powerful cue that elicits strong responses in many primate and nonprimate species. The present research examined whether fleeting experiences of high and low power alter individuals’ spontaneous responses to the staring gaze of an onlooker. We report two experimental studies showing that sustained, direct gaze elicits spontaneous avoidance tendencies in low power perceivers and spontaneous approach tendencies in high power perceivers. These effects emerged during interactions with different targets and when power was manipulated between-individuals (Study 1) and within-individuals (Study 2), thus attesting to a high degree of flexibility in perceivers’ reactions to gaze cues. Together, the present findings indicate that power can break the cycle of complementarity in individuals’ spontaneous responding: Low power perceivers complement and move away from, and high power perceivers reciprocate and move toward, staring onlook ers. (Ps ycINFO Database Record (c) 2017 APA, all rights reserved)
2012
-
(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.
- <<
- <
- 1