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Pawarat Nontasil

dblp:144/4418 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
0000-0002-1597-3695ORCID · reported

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

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

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

TopicWeightPapersLastEvidence papers
Human-robot interaction › emotion
emotional response
0.112019
Emotional Utility and Recall of the Facebook News Feed · CHI 2019

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

recall analysis · 0.4laboratory study · 0.4
YearPublicationVenuePosition
2019 Emotional Utility and Recall of the Facebook News Feed
abstract
We report a laboratory study (N=53) in which participants browsed their own Facebook news feeds for 10-15 minutes, choosing exactly when to quit, and later rated the overall emotional utility of the episode before attempting to recall threads. Finally, the emotional utility of each encountered thread was rated while looking over a recording of the interaction. We report that Facebook browsing was, overall, an emotionally positive experience; that recall of threads exhibited classic primacy and recency serial order effects; that recalled threads were both more positive and more valenced (less neutral) on average, than forgotten threads; and that overall emotional valence judgments were predicted, statistically, by the peak and end thread judgments. We find no evidence that local quit decisions were driven by the emotional utility of threads. In the light of these findings, we discuss the suggestion that emotional utility might partly explain the attractiveness of reading the news feed, and that an emotional memory bias might further increase the attractiveness of the newsfeed in prospect.
Pawarat Nontasil, Stephen J. Payne
CHI1