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Luke Rush

dblp:260/1397 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

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

Artificial intelligence and machine learning · 1Human-computer interaction and ubiquitous computing · 1

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
Human-robot interaction · 38% Collaborative and social computing · 38% Immersive interaction · 12%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing › interpersonal relationships
social closeness
0.412020
Closeness is Key over Long Distances: Effects of Interpersonal Closeness on Telepresence Experience · HRI 2020
Human-robot interaction
telepresence robot
0.412020
Closeness is Key over Long Distances: Effects of Interpersonal Closeness on Telepresence Experience · HRI 2020
User interface design and tools
personalization
0.112020
Closeness is Key over Long Distances: Effects of Interpersonal Closeness on Telepresence Experience · HRI 2020
Immersive interaction
telepresence
0.112020
Closeness is Key over Long Distances: Effects of Interpersonal Closeness on Telepresence Experience · HRI 2020

Methods — techniques the papers use, named apart from their topics

user study · 0.4between-subjects experiment · 0.4
YearPublicationVenuePosition
2020 Closeness is Key over Long Distances: Effects of Interpersonal Closeness on Telepresence Experience
abstract
Telepresence robots act as the remote embodiments of human operators, enabling people to stay connected to friends, family, and coworkers over lengthy physical separations. However, the factors affecting how humans can best make use of such systems are not yet well understood. This paper explores the effects of personalization and relationship closeness on telepresence via two studies. Study 1 was a between-participants experiment that investigated telepresence robot personalization. 32 pairs of friends (N = 64) participated in the study's team-building-style activities and answered questions about robot operator presence. The results unexpectedly indicated that relationship closeness influenced the interaction experience more than any other considered predictor variable. To study closeness more rigorously as the central manipulation, we conducted Study 2, a between-participants experiment with 24 pairs (N = 48) and a similar procedure. Robot operators who reported a closer relationship with their teammate felt more present in this investigation. These findings can inform the design and application of telepresence robot systems to increase a remote operator's feelings of presence via robot.
Naomi T. Fitter, Luke Rush, Elizabeth Cha, Thomas R. Groechel, Maja J. Mataric, Leila Takayama
HRI2