Demo Data from EDBT 2026 / reviewers in the wild / expert
Claire Carlson
dblp:33/2233
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · unresolved
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 · 67% Human-AI interaction · 33% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing
computer-mediated communication |
0.1 | 1 | 2009 | Social responses in mobile messaging: influence strategies, self-disclosure, and source orientation · CHI 2009 |
Collaborative and social computing › computer-mediated communication › messaging
mobile messaging |
0.1 | 1 | 2009 | Social responses in mobile messaging: influence strategies, self-disclosure, and source orientation · CHI 2009 |
Methods — techniques the papers use, named apart from their topics
influence strategies · 0.1field experiment · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Social responses in mobile messaging: influence strategies, self-disclosure, and source orientationabstractThis paper reports on a direct test of social responses to communication technologies theory (SRCT) with mobile messaging. SRCT predicts that people will mindlessly respond to computers in social ways that mirror their responses to humans. A field experiment (N=71) using participants' own mobile phones compared three influence strategies (direct request, flattery, and social norms) in the context of asking intimate questions of participants. These messages came from either an ostensibly human or computer sender. Flattery significantly increased self-disclosure when ostensibly sent by a human, but not when from a computer. The interaction effect for sender and influence strategy is inconsistent with SRCT's predictions. Implications for theories of source orientation, research methods, and future research are discussed. Dean Eckles, Doug Wightman, Claire Carlson, Attapol Thamrongrattanarit, Marcello Bastéa-Forte, B. J. Fogg |
CHI | 3 |