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Measuring the quality of interaction in mobile robotic telepresence: a pilot's perspective
Örebro universitet, Institutionen för naturvetenskap och teknik.ORCID-id: 0000-0002-4368-4751
KTH Royal Institute of Technology, Stockholm, Sweden.
Örebro universitet, Institutionen för naturvetenskap och teknik.ORCID-id: 0000-0002-3122-693X
2013 (Engelska)Ingår i: International Journal of Social Robotics, ISSN 1875-4791, E-ISSN 1875-4805, Vol. 5, nr 1, s. 89-101Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

This article presents a method for measuring the quality of interaction in social mobile robotic telepresence. The methodology is in part based on Adam Kendon's theory of F-formations. The theory is based on observations of how bodies naturally orient themselves during interaction between people in real life settings. In addition, two presence questionnaires (Temple Presence Inventory and Networked Minds Social Presence Inventory), designed to measure the users' perceptions of others and the environment when experienced through a communication medium are used. The perceived presence and ease of use are correlated to the spatial formations between the robot and an actor. The proposed methodology is validated experimentally on a dataset consisting of interactions between an elder (actor) and 21 different users being trained in piloting a mobile robotic telepresence unit. The evaluation has shown that these tools are suitable for evaluating mobile robotic telepresence and also that correlations between the tools used exist. Further, these results give iportant quidlines on how to improve the interface in order to increase the quality of interaction.

Ort, förlag, år, upplaga, sidor
Springer , 2013. Vol. 5, nr 1, s. 89-101
Nyckelord [en]
mobile robotic telepresence, F-formations, methodology, presence, telepresence, quality of interaction
Nationell ämneskategori
Människa-datorinteraktion (interaktionsdesign) Datavetenskap (datalogi)
Forskningsämne
Informationsteknologi; Datavetenskap
Identifikatorer
URN: urn:nbn:se:mdh:diva-43405DOI: 10.1007/s12369-012-0166-7ISI: 000333758400007Scopus ID: 2-s2.0-84872555676OAI: oai:DiVA.org:mdh-43405DiVA, id: diva2:1314670
Projekt
ExCITE
Anmärkning

Funding Agency:

EU under the Ambient Assisted Living Joint Programme

Tillgänglig från: 2012-08-06 Skapad: 2019-05-09 Senast uppdaterad: 2020-01-28Bibliografiskt granskad

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Kristoffersson, AnnicaLoutfi, Amy

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Kristoffersson, AnnicaLoutfi, Amy
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International Journal of Social Robotics
Människa-datorinteraktion (interaktionsdesign)Datavetenskap (datalogi)

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