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Titel:

Analysis and Semantic Modeling of Modality Preferences in Industrial Human-Robot Interaction

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Profanter, Stefan; Perzylo, Alexander; Somani, Nikhil; Rickert, Markus; Knoll, Alois
Abstract:
Intuitive programming of industrial robots is especially important for small and medium-sized enterprises. We evaluated four different input modalities (touch, gesture, speech, 3D tracking device) regarding their preference, usability, and intuitiveness for robot programming. A Wizard-of-Oz experiment was conducted with 30 participants and its results show that most users prefer touch and gesture input over 3D tracking device input, whereas speech input was the least preferred input modality. Th...     »
Kongress- / Buchtitel:
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Jahr:
2015
Monat:
Sep
Seiten:
1812--1818
Volltext / DOI:
doi:10.1109/IROS.2015.7353613
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