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36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 5
Big Island, Hawaii
January 06-January 09
ISBN: 0-7695-1874-5
| ASCII Text | x | ||
| Kazuhiko Kawamura, Phongchai Nilas, Kazuhiko Muguruma, Julie A. Adams, Chen Zhou, "An Agent-Based Architecture for an Adaptive Human-Robot Interface," 2013 46th Hawaii International Conference on System Sciences, vol. 5, pp. 126b, 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 5, 2003. | |||
| BibTex | x | ||
| @article{ 10.1109/HICSS.2003.1174288, author = {Kazuhiko Kawamura and Phongchai Nilas and Kazuhiko Muguruma and Julie A. Adams and Chen Zhou}, title = {An Agent-Based Architecture for an Adaptive Human-Robot Interface}, journal ={2013 46th Hawaii International Conference on System Sciences}, volume = {5}, year = {2003}, isbn = {0-7695-1874-5}, pages = {126b}, doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2003.1174288}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2013 46th Hawaii International Conference on System Sciences TI - An Agent-Based Architecture for an Adaptive Human-Robot Interface SN - 0-7695-1874-5 SP EP A1 - Kazuhiko Kawamura, A1 - Phongchai Nilas, A1 - Kazuhiko Muguruma, A1 - Julie A. Adams, A1 - Chen Zhou, PY - 2003 KW - null VL - 5 JA - 2013 46th Hawaii International Conference on System Sciences ER - | |||
This paper describes an innovative agent-based architecture for mixed-initiative interaction between a human and a robot that interacts via a graphical user interface (GUI). Mixed-initiative interaction typically refers to a flexible interaction strategy between a human and a computer to contribute what is best-suited at the most appropriate time [1]. In this paper, we extend this concept to human-robot interaction (HRI). When compared to pure human-computer interaction, HRIs encounter additional difficulty, as the user must assess the situation at the robot?s remote location via limited sensory feedback. We propose an agent-based adaptive human-robot interface for mixed-initiative interaction to address this challenge. The proposed adaptive user interface (UI) architecture provides a platform for developing various agents that control robots and user interface components (UICs). Such components permit the human and the robot to communicate mission-relevant information.
Citation:
Kazuhiko Kawamura, Phongchai Nilas, Kazuhiko Muguruma, Julie A. Adams, Chen Zhou, "An Agent-Based Architecture for an Adaptive Human-Robot Interface," hicss, vol. 5, pp.126b, 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 5, 2003
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