Views from within a narrative: Evaluating long-term human-robot interaction in a naturalistic environment using open-ended scenarios

D.S. Syrdal, K. Dautenhahn, Kheng Lee Koay, Wan Ching Ho

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)
144 Downloads (Pure)

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
Original languageEnglish
Pages (from-to)741-759
JournalCognitive Computation
Volume6
Issue number4
Early online date6 Nov 2014
DOIs
Publication statusPublished - 31 Dec 2014

Fingerprint

Dive into the research topics of 'Views from within a narrative: Evaluating long-term human-robot interaction in a naturalistic environment using open-ended scenarios'. Together they form a unique fingerprint.

Cite this