Abstract
This paper describes findings from a Human-to-Human Interaction experiment that examines human communicative non-verbal facial behaviour. The aim was to develop a more comfortable and e®ective model of social human-robot communication. Analysis of the data revealed a strong co-occurrence between human blink production and non-verbal communicative behaviours of own speech instigation and completion, interlocutor speech instigation, looking at/away from the interlocutor, facial expression instigation and completion, and mental communicative state changes. Seventy-one percent of the total 2007 analysed blinks co-occurred with these behaviours within a time window of +/ 375 ms, well beyond their chance co-occurrence probability of 23%. Thus between 48% and 71% of blinks are directly related to human communicative behaviour and are not simply \physiological" (e.g., for cleaning/humidifying the eye). Female participants are found to blink twice as often as male participants, in the same communicative scenario, and have a longer average blink duration. These results provide the basis for the implementation of a blink generation system as part of a social cognitive robot for human-robot interaction.
Original language | English |
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Pages (from-to) | 1-31 |
Number of pages | 31 |
Journal | International Journal of Humanoid Robotics |
Volume | 10 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2 Apr 2013 |
Keywords
- Social Robotics
- Human-Robot Interaction
- Human Blink
- Human Communication
- Mental Communicative States
- Computational Modelling
- Non-Verbal Behaviour
- Blink Model