Journalartikel - Artikel | | Peer reviewed

Why robots should be technical correcting mental models through technical architecture concepts

Autor(en)
Hindemith, Lukas ; Göpfert, Jan Philip ; Wiebel-Herboth, Christiane B. ; Wrede, Britta 0000-0003-1424-472X ; Vollmer, Ann. Lisa 0000-0002-9378-7249
Normierter Zeitschriftentitel
Interaction studies 
DOI
10.1075/is.20023.hin
URL
https://pub.uni-bielefeld.de/record/2961876
Web of Science-ID
000762236800004

Weitere Details

Sprache
englisch
Darstellungsform
Text
Band
22
Ausgabe
2
Seitenbereich
244 - 279
Schlagwörter
architecture , human-robot interaction , interaction design , mental models , robot , robot transparency , technical concepts

Research in social robotics is commonly focused on designing robots that imitate human behavior. While this might increase a user's satisfaction and acceptance of robots at first glance, it does not automatically aid a non-expert user in naturally interacting with robots, and might hurt their ability to correctly anticipate a robot's capabilities. We argue that a faulty mental model, that the user has of the robot, is one of the main sources of confusion. In this work, we investigate how communicating technical concepts of robotic systems to users affect their mental models, and how this can increase the quality of human-robot interaction. We conducted an online study and investigated possible ways of improving users' mental models. Our results underline that communicating technical concepts can form an improved mental model. Consequently, we show the importance of consciously designing robots that express their capabilities and limitations.

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