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"Thank You for Sharing that Interesting Fact!": Effects of Capability and Context on Indirect Speech Act Use in Task-Based Human-Robot Dialogue

Published: 26 February 2018 Publication History

Abstract

Naturally interacting robots must be able to understand natural human speech. As such, recent work has sought to allow robots to infer the intentions behind commonly used non-literal utterances such as indirect speech acts (ISAs). However, it is still unclear to what extent ISAs will actually be used in task-based human-robot dialogue, and to what extent robots could function without the ability to understand ISAs. In this paper, we present the results of a Wizard-of-Oz experiment that examined human ISA use in scenarios that did or did not have conventionalized social norms, and analyzed both ISA use and perceptions of robots when robots were or were not capable of understanding ISAs. Our results suggest that (1) ISAs are commonly used in task-based human-robot dialogues, even when robots show themselves unable to understand ISAs; (2) ISA use is more common in contexts with conventionalized social norms; and (3) a robot's inability to understand ISAs harms both the robot's task performance and human perception of the robot.

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cover image ACM Conferences
HRI '18: Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction
February 2018
468 pages
ISBN:9781450349536
DOI:10.1145/3171221
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 26 February 2018

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Author Tags

  1. human perceptions of robot communications
  2. intention understanding
  3. speech act theory
  4. task-based human-robot dialogue

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  • US Office of Naval Research

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HRI '18 Paper Acceptance Rate 49 of 206 submissions, 24%;
Overall Acceptance Rate 268 of 1,124 submissions, 24%

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  • (2023)Crossing Reality: Comparing Physical and Virtual Robot DeixisProceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3568162.3576972(152-161)Online publication date: 13-Mar-2023
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