The influence of approach speed and functional noise on users' perception of a robot
| Autor: | Niels van Berkel, Elisabeth M.A.G. van Dijk, Michiel Joosse, Manja Lohse, Vanessa Evers, Daphne Karreman |
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| Rok vydání: | 2013 |
| Předmět: |
Engineering
IR-89701 business.industry media_common.quotation_subject HMI-MI: MULTIMODAL INTERACTIONS EWI-24538 Human–robot interaction METIS-302883 Congruence (geometry) Perception EC Grant Agreement nr.: FP7/600877 EC Grant Agreement nr.: FP7/2007-2013 Robot Computer vision EC Grant Agreement nr.: FP7/288235 Artificial intelligence Noise (video) business Human communication media_common |
| Zdroj: | IROS 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2013, 1670-1675 STARTPAGE=1670;ENDPAGE=1675;TITLE=2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2013 |
| DOI: | 10.1109/iros.2013.6696573 |
| Popis: | How a robot approaches a person greatly determines the interaction that follows. This is particularly relevant when the person has never interacted with the robot before. In human communication, we exchange a multitude of multimodal signals to communicate our intent while we approach others. However, most robots do not have the capabilities to produce such signals and easily communicate their intent. In this paper we propose to communicate intent when a robot approaches a person through functional noise and approach speed. Both were manipulated in a between-subjects experiment (N=40) either slowly increasing at the start of the approach and slowly decreasing when the robot reached the human or maximized at the start and abruptly stopped at the end of the approach. We analyzed questionnaires and video data from the interaction and found that particularly functional noise that in-/decreased in volume was helpful to communicate the robot's intent but only in congruence with an in-/decreasing velocity. |
| Databáze: | OpenAIRE |
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