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Thompson Ritchie

dblp:73/2690 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none

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

Human-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
Collaborative and social computing · 88% Human-robot interaction · 12%

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

TopicWeightPapersLastEvidence papers
Collaborative and social computing
computer-mediated communication
0.012004
Deception and design: the impact of communication technology on lying behavior · CHI 2004
Collaborative and social computing › computer-mediated communication
deception
0.012004
Deception and design: the impact of communication technology on lying behavior · CHI 2004
Collaborative and social computing › communication technologies
communication system design
0.012004
Deception and design: the impact of communication technology on lying behavior · CHI 2004
Human-robot interaction
trust in robots
0.012004
Deception and design: the impact of communication technology on lying behavior · CHI 2004

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

diary study · 0.0
YearPublicationVenuePosition
2004 Deception and design: the impact of communication technology on lying behavior
abstract
Social psychology has demonstrated that lying is an important, and frequent, part of everyday social interactions. As communication technologies become more ubiquitous in our daily interactions, an important question for developers is to determine how the design of these technologies affects lying behavior. The present research reports the results of a diary study, in which participants recorded all of their social interactions and lies for seven days. The data reveal that participants lied most on the telephone and least in email, and that lying rates in face-to-face and instant messaging interactions were approximately equal. This pattern of results suggests that the design features of communication technologies (e.g., synchronicity, recordability, and copresence) affect lying behavior in important ways, and that these features must be considered by both designers and users when issues of deception and trust arise. The implications for designing applications that increase, decrease or detect deception are discussed.
Jeffrey T. Hancock, Jennifer Thom-Santelli, Thompson Ritchie
CHI3