Subjective Experience of Interacting with a Social Robot at a Danish Airport

Sara Nielsen*, Emil Bonnerup, Andreas Kornmaaler Hansen, Juliane Nilsson, Lucca Julie Nellemann, Karl Damkjær Hansen, Dorte Hammershøi

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

5 Citations (Scopus)

Abstract

This study investigates the subjective experience of interacting with a social robot at Aalborg Airport (AAL) by conducting a field study where 23 attributes in Human-Robot Interaction (HRI) were elicited. During two tests, Danish travellers were recruited by a remote controlled Double robot, which offered four wayfinding options specific for AAL. In the first test 30 subjects participated in a semi-structured interview about their experience. Observations and the subjects' statements were interpreted and coded using an affinity diagram. The affinity diagram resulted in 10 superordinate categories from which the 23 attributes were elicited and developed into scales. The scales were used in the second test at AAL, where 43 subjects rated HRI. The ratings were analysed with Principal Component Analysis (PCA). The developed scales presented in this paper might be used by robot designers for specific contexts and potentially for tailored user experience evaluations.
Original languageEnglish
Title of host publication2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)
Number of pages8
PublisherIEEE
Publication date6 Nov 2018
Pages1163 - 1170
Article number8525643
ISBN (Print)978-1-5386-7981-4
ISBN (Electronic)978-1-5386-7980-7
DOIs
Publication statusPublished - 6 Nov 2018
Event27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) - Nanjing, China
Duration: 27 Aug 201831 Aug 2018

Conference

Conference27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)
Country/TerritoryChina
CityNanjing
Period27/08/201831/08/2018
SeriesIEEE RO-MAN proceedings
ISSN1944-9445

Keywords

  • human-robot interaction

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