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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/25062

Title: DICE-R: defining human-robot interaction with composite events
Authors: Van den Bergh, Jan
Luyten, Kris
Issue Date: 2017
Publisher: ACM
Citation: Lampe, Clifford; Nichols, Jeff; Karahalios, Karrie; Fitzpatrick, Geraldine; Lee, Uichin; Monroy-Hernandez, Andres; Stuerzlinger, Wolfgang (Ed.). Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS '17), ACM,p. 117-122
Abstract: Collaborative robots, or cobots, are believed to be a major factor to further increase productivity and to support workers in performing straining, repetitive tasks and tasks that benefit from a third hand. Human workers prefer to interact with cobots in similar ways as with their human peers; using gestures, voice and peripheral awareness. It is thus important to enable cobots to engage in such interactions and to react appropriately. In this paper, we propose a domain-specific textual language, DICE-R, to define human-robot interactions using composite events. DICE-R enables to do this without reference to the automatically generated finite state machines used to recognize these temporal combinations of events from different sources. We introduce the concrete syntax of a DICE-R script, an example application developed using DICE-R, as well as a discussion of how the specified interaction rules are mapped on executable finite state machines.
URI: http://hdl.handle.net/1942/25062
DOI: 10.1145/3102113.3102147
ISBN: 9781450350839
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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