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Jenny L. Davis

dblp:117/6001 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 77% Human-robot interaction · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing
social connectedness
0.712023
Role-taking and robotic form: an exploratory study of social connection in human-robot interaction · Int. J. Hum. Comput. Stud. 2023
Human-robot interaction › robot design
robot morphology
0.212023
Role-taking and robotic form: an exploratory study of social connection in human-robot interaction · Int. J. Hum. Comput. Stud. 2023
YearPublicationVenuePosition
2023 Role-taking and robotic form: an exploratory study of social connection in human-robot interaction
abstract
Human-robot interaction (HRI) spans many and diverse contexts, each varying in the preferred degree of social connection fostered therein. The design of robotic systems and selection of which robotic forms to use will thus benefit from an understanding of the factors by which social connection is enhanced or diminished. We address this fundamental problem through an exploratory study of role-taking, a core construct from structural social psychology. Through a laboratory experiment (N=86) in which participants interact with either human, humanoid robot, or non-humanoid robot partners, we examine variation in perceived role-taking accuracy, affection for the partner, and desire for continued interaction. Findings show that participants evaluate human interaction partners as more accurate role-takers than robots, but with variation between robotic types (humanoid vs non-humanoid) in relation to personality versus emotion. Sense of affection and desire for continued interaction are predicted by interpersonal factors rather than partner type or robotic form. We discuss possible reasons behind these preliminary findings and draw on them to formulate subsequent research questions. More broadly, we call for continued study at the intersection of HRI and structural social psychology, advancing both fields through the pairing.
Jenny L. Davis, Robert Armstrong, Anne Groggel, Sharni Doolan, Jake Sheedy, Tony P. Love, Damith Chandana Herath
Int. J. Hum. Comput. Stud.1