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Expressing uncertainty in Human-Robot interaction.

Christoph Bartneck1, Elena Moltchanova1

  • 1University of Canterbury, Christchurch, New Zealand.

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|July 17, 2020
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This summary is machine-generated.

Communicating risk in human-robot interaction is challenging. This study found that while probability phrases like "likely" are preferred, they aren't always understood consistently, suggesting a need for both words and numbers.

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Area of Science:

  • Human-Robot Interaction (HRI)
  • Cognitive Science
  • Risk Communication

Background:

  • Understanding probability is crucial for Human-Robot Interaction (HRI) researchers to convey risks and uncertainties.
  • Previous research indicates that numerical probability values alone do not ensure accurate comprehension by the public.
  • Effective communication of uncertainty is a significant challenge in HRI studies, media, and policy-making.

Purpose of the Study:

  • To investigate the efficacy of using qualitative probability phrases (e.g., "likely", "almost certainly not") for communicating uncertainty in Human-Robot Interaction (HRI).
  • To determine if these phrases are associated with specific numerical probability ranges and if a preferred order exists.
  • To provide HRI researchers with empirically verified probability phrases to enhance risk communication.

Main Methods:

  • Participants were presented with probability phrases embedded within the context of autonomous vehicle usage.
  • The study analyzed the association between qualitative probability phrases and quantitative percentage values.
  • An analysis of preferred phrase order and consistency of association was conducted.

Main Results:

  • A non-random association was found between specific probability phrases and percentage values.
  • A preferred order of probability phrases was identified.
  • The consistency of phrase-to-percentage association was not as high as desired, indicating potential for misinterpretation.

Conclusions:

  • Qualitative probability phrases can be a useful adjunct to numerical expressions of uncertainty in HRI.
  • Complementing numerical values with carefully selected and empirically verified probability phrases is advisable for clearer communication.
  • Further research may refine the use of linguistic expressions for probability in HRI contexts to improve public understanding of risks.