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Volume 17, Issue 2
  • ISSN 1572-0373
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Abstract

Human instructors often refer to objects and actions involved in a task description using both linguistic and non-linguistic means of communication. Hence, for robots to engage in natural human-robot interactions, we need to better understand the various relevant aspects of human multi-modal task descriptions. We analyse reference resolution to objects in a data collection comprising two object manipulation tasks (22 teacher student interactions in Task 1 and 16 in Task 2) and find that 78.76% of all referring expressions to the objects relevant in Task 1 are verbally underspecified and 88.64% of all referring expressions are verbally underspecified in Task 2. The data strongly suggests that a language processing module for robots must be genuinely multi-modal, allowing for seamless integration of information transmitted in the verbal and the visual channel, whereby tracking the speaker’s eye gaze and gestures as well as object recognition are necessary preconditions.

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2016-12-14
2024-12-01

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Multi-modal referring expressions in human-human task descriptions and their implications for human-robot interaction
Interaction Studies 17, 180 (2016); https://doi.org/10.1075/is.17.2.02gro
/content/journals/10.1075/is.17.2.02gro
/content/journals/10.1075/is.17.2.02gro
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  • Article Type: Research Article
Keyword(s): human-robot interaction; multi-modal communication; reference resolution

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