How Can We Live with Overconfident or Unconfident Systems?: A Comparison of Artificial Subtle Expressions with Human-like Expression


Expressing the confidence level of a system’s suggestions by using speech sounds is an important cue to users of the system for perceiving how likely it is for the suggestions to be correct. We assume that expressing the levels of confidence using human-like expressions will cause users to have a poorer impression of a system than if artificial subtle expressions (ASEs) were used when the quality of the presented information does not match the expressed level of confidence. We confirmed that this assumption was correct by conducting a psychological experiment.

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