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Personal quizmaster: a pattern approach to personalized interaction experiences with the MiRo robot

dc.contributor.authorPollmann, Kathrin
dc.contributor.authorZiegler, Daniel
dc.contributor.editorAlt, Florian
dc.contributor.editorSchneegass, Stefan
dc.contributor.editorHornecker, Eva
dc.date.accessioned2020-09-16T07:52:37Z
dc.date.available2020-09-16T07:52:37Z
dc.date.issued2020
dc.description.abstractIn Human-Robot Interaction, personalization has been proposed as a strategy to increase acceptance for social robots. The present paper describes how behavioral design patterns can be used to tailor the interaction experience to the individual user's characteristics and needs. To demonstrate this approach, we designed a quiz game application for the {MiRo} robot. The robot acts as the quizmaster and shows different behaviors (coach-like/empathic vs. challenging/provocative) depending on the type of user who is playing the game (community-focused vs. competition-focused player). We describe the process of creating the two quizmaster personalities and related behavioral patterns as well as the technical background for integrating them with the interaction model for the quiz game. The result is a Wizard-of-Oz demonstration of the personalizable quiz game that is accompanied by an interactive video prototype remote for user studies and demo purposes.en
dc.description.urihttps://dl.acm.org/doi/10.1145/3404983.3410414en
dc.identifier.doi10.1145/3404983.3410414
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34303
dc.language.isoen
dc.publisherACM
dc.relation.ispartofMensch und Computer 2020 - Tagungsband
dc.relation.ispartofseriesMensch und Computer
dc.subjectpersonalized human-robot interaction
dc.subjectsocial robot
dc.subjectbehavioral patterns
dc.subjectmultimodal behavioral expressions
dc.titlePersonal quizmaster: a pattern approach to personalized interaction experiences with the MiRo roboten
dc.typeText/Conference Paper
gi.citation.publisherPlaceNew York
gi.citation.startPage485–489
gi.conference.date6.-9. September 2020
gi.conference.locationMagdeburg
gi.conference.sessiontitleMCI: Demo
gi.document.qualitydigidoc

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