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Attapol Thamrongrattanarit

dblp:53/5471 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorHuman-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

TopicWeightPapersLastEvidence papers
Collaborative and social computing
computer-mediated communication
0.112009
Social responses in mobile messaging: influence strategies, self-disclosure, and source orientation · CHI 2009
Collaborative and social computing › computer-mediated communication › messaging
mobile messaging
0.112009
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
YearPublicationVenuePosition
2013 A Distant Supervision Approach for Identifying Perspectives in Unstructured User-Generated Text
Attapol Thamrongrattanarit, Colin Pollock, Benjamin Goldenberg, Jason Fennell
IJCNLP1
2009 Social responses in mobile messaging: influence strategies, self-disclosure, and source orientation
abstract
This 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
CHI4