How does affective robot feedback influence learner experience in a real-world treasure hunt?

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

Research output: Contribution to conferencePaperpeer-review

Abstract / Description of output

We explore the effect of the feedback strategy used by a virtual robot agent in the context of a real-world treasure-hunt activity carried out by children aged 11–12. We compare two versions of a tablet-based virtual robot agent, which provides either neutral or affective feedback during the treasure hunt. The results suggest that the use of the tablet app increased the perceived difficulty of the instruction-following task compared to a paper-based version, while the affective robot feedback increased the perceived difficulty of the questions.
Original languageEnglish
Pages1-12
Number of pages12
Publication statusPublished - 26 Oct 2015
EventFirst International Workshop on Educational Robots, WONDER 2015 - Paris, France
Duration: 26 Oct 2015 → …
Conference number: 1
https://icsrwonder2015.wordpress.com/programme/

Workshop

WorkshopFirst International Workshop on Educational Robots, WONDER 2015
Abbreviated titleWONDER 2015
Country/TerritoryFrance
CityParis
Period26/10/15 → …
Internet address

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