Evaluating Conversational Question Generation: CoffeeBot

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Abstract

Asking questions is an important way of showing interest in peopleand learning more about them. We deployed a social robot, Coffee-Bot, capable of asking personalized conversational questions basedon topics mentioned by the user over time. We describe our evalua-tion setup and results of our pilot study. Our initial results, basedon interactions with seven participants, indicate a high level of en-joyment among participants and provided us with useful feedbackon the CoffeeBot experience for a future long-term study.
Original languageEnglish
Title of host publicationProceedings of Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI 2021)
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Number of pages6
Publication statusPublished - 8 Mar 2021
EventLifelong Learning and Personalization in Long-Term Human-Robot Internaction, LEAP-HRI 2021 - Virtual, Boulder, United States
Duration: 8 Mar 20218 Mar 2021
https://leap-hri.github.io/

Conference

ConferenceLifelong Learning and Personalization in Long-Term Human-Robot Internaction, LEAP-HRI 2021
Abbreviated titleLEAP-HRI 2021
Country/TerritoryUnited States
CityBoulder
Period8/03/218/03/21
Internet address

Keywords

  • Human-centered computing
  • Field studies
  • Usability testing
  • Natural language interfaces
  • Sound-based input / output
  • Evaluating long-term interaction
  • Real world pilot
  • Question generation
  • Ppersonalization

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