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Medientyp:
E-Artikel
Titel:
Mental Models of a Mobile Shoe Rack : Exploratory Findings from a Long-term In-the-Wild Study
:
Exploratory Findings from a Long-term In-the-Wild Study
Beteiligte:
Rueben, Matthew;
Klow, Jeffrey;
Duer, Madelyn;
Zimmerman, Eric;
Piacentini, Jennifer;
Browning, Madison;
Bernieri, Frank J.;
Grimm, Cindy M.;
Smart, William D.
Erschienen:
Association for Computing Machinery (ACM), 2021
Erschienen in:
ACM Transactions on Human-Robot Interaction, 10 (2021) 2, Seite 1-36
Sprache:
Englisch
DOI:
10.1145/3442620
ISSN:
2573-9522
Entstehung:
Anmerkungen:
Beschreibung:
<jats:p>Most people do not have direct access to knowledge about the inner workings of robots. Instead, they must develop mental models of the robot, a process that is not well understood. This article presents findings from a long-term, in-the-wild, qualitative, hypothesis-generating study of the mental model formation process. The focus was on how (qualitatively) users form mental models of the robot—specifically its perceptual capabilities, rules of behavior, and communication with other humans. Participants of diverse ages had multiple interactions with the robot over six weeks in a non-laboratory setting. The robot’s rules of behavior were changed every two weeks. A novel, non-anthropomorphic robot was created for the study with a realistic use case: storing people’s shoes during a yoga class.</jats:p>
<jats:p>This article reports findings from a case study analysis of 28 interviews conducted over six weeks with six participants. These findings are organized into six topics: (1) variability in the rate at which mental models are updated to be more predictive, (2) types of reasoning and hypothesizing about the robot, (3) borrowing from existing mental models and use of imagination, (4) attributing sensing capabilities where there are no visible sensors, (5) judgments about whether the robot is autonomous or teleoperated, and (6) experimenting with the robot. Specific suggestions for future research are given throughout, culminating in a set of study design recommendations. This work demonstrates the fruitfulness of long-term, in-the-wild studies of human-robot interaction, of which mental model formation is a foundational aspect.</jats:p>