It's Not What You Do, It's How You Do It Grounding Uncertainty for a Simple Robot

For effective HRI, robots must go beyond having good legibility of their intentions shown by their actions, but also ground the degree of uncertainty they have. We show how in simple robots which have spoken language understanding capacities, uncertainty can be communicated to users by principles of...

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Vydáno v:2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI s. 274 - 282
Hlavní autoři: Hough, Julian, Schlangen, David
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: New York, NY, USA ACM 06.03.2017
Edice:ACM Conferences
Témata:
Communicative grounding
Computer systems organization > Embedded and cyber-physical systems > Robotics > External interfaces for robotics
Computer systems organization > Embedded and cyber-physical systems > Robotics > Robotic control
Computing methodologies > Artificial intelligence > Natural language processing > Discourse, dialogue and pragmatics
Grounding
Human-centered computing > Human computer interaction (HCI) > Interaction paradigms > Natural language interfaces
Incrementality
Legged locomotion
Maintenance engineering
Software and its engineering > Software organization and properties > Software system structures > Software system models > State systems
Speech recognition
Task analysis
Uncertainty
uncertainty
communicative grounding
incrementality
ISBN:9781450343367, 1450343368
ISSN:2167-2148
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Shrnutí:For effective HRI, robots must go beyond having good legibility of their intentions shown by their actions, but also ground the degree of uncertainty they have. We show how in simple robots which have spoken language understanding capacities, uncertainty can be communicated to users by principles of grounding in dialogue interaction even without natural language generation. We present a model which makes this possible for robots with limited communication channels beyond the execution of task actions themselves. We implement our model in a pick-and-place robot, and experiment with two strategies for grounding uncertainty. In an observer study, we show that participants observing interactions with the robot run by the two different strategies were able to infer the degree of understanding the robot had internally, and in the more uncertainty-expressive system, were also able to perceive the degree of internal uncertainty the robot had reliably.
ISBN:9781450343367
1450343368
ISSN:2167-2148
DOI:10.1145/2909824.3020214