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Views from Within a Narrative: Evaluating Long-Term Human–Robot Interaction in a Naturalistic Environment Using Open-Ended Scenarios

Dag Sverre Syrdal, Kerstin Dautenhahn, Kheng Lee Koay, Wan Ching Ho

Year
2014
Citations
23
Access
Open access

Abstract

This article describes the prototyping of human-robot interactions in the University of Hertfordshire (UH) Robot House. Twelve participants took part in a long-term study in which they interacted with robots in the UH Robot House once a week for a period of 10 weeks. A prototyping method using the narrative framing technique allowed participants to engage with the robots in episodic interactions that were framed using narrative to convey the impression of a continuous long-term interaction. The goal was to examine how participants responded to the scenarios and the robots as well as specific robot behaviours, such as agent migration and expressive behaviours. Evaluation of the robots and the scenarios were elicited using several measures, including the standardised System Usability Scale, an ad hoc Scenario Acceptance Scale, as well as single-item Likert scales, open-ended questionnaire items and a debriefing interview. Results suggest that participants felt that the use of this prototyping technique allowed them insight into the use of the robot, and that they accepted the use of the robot within the scenario.

Keywords

NarrativeTerm (time)NaturalismComputer scienceHuman–computer interactionRobotHuman–robot interactionArtificial intelligenceCognitive psychologyPsychology

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