Affective Feedback for a Virtual Robot in a Real-World Treasure Hunt

Mary Ellen Foster, Mei Yii Lim, Amol Deshmukh, Srinivasan Chandrasekaran Janarthanam, Helen Hastie, Ruth Aylett

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

We explore the effect of the behaviour of a virtual robot agent in the context of a real-world treasure-hunt activity carried out by children aged 11-12. We compare three conditions: a traditional paper-based treasure hunt, along with a virtual robot on a tablet which provides either neutral or affective feedback during the treasure hunt. The initial results of the study suggest that the use of the virtual robot increased the perceived difficulty of the instruction-following task, while the affective robot feedback in particular made the questions seem more difficult to answer.
Original languageEnglish
Title of host publicationProceedings of the ICMI 2014 Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction
Place of PublicationUnited States
PublisherACM Association for Computing Machinery
Pages31-32
Number of pages2
ISBN (Print)9781450305518
DOIs
Publication statusPublished - 16 Nov 2014
EventICMI 2014 Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction - Istanbul , Turkey
Duration: 16 Nov 2014 → …

Conference

ConferenceICMI 2014 Workshop on Multimodal, Multi-Party, Real-World Human-Robot Interaction
Abbreviated titleMMRWHRI '14
Country/TerritoryTurkey
CityIstanbul
Period16/11/14 → …

Keywords / Materials (for Non-textual outputs)

  • intelligent tutoring systems
  • affective computing

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