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Ishani Aggarwal

dblp:161/3211 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—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 · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Collaborative and social computing
collective intelligence
0.212015
Collective Intelligence in Computer-Mediated Collaboration Emerges in Different Contexts and Cultures · CHI 2015
Collaborative and social computing › computer-mediated communication
computer-mediated collaboration
0.212015
Collective Intelligence in Computer-Mediated Collaboration Emerges in Different Contexts and Cultures · CHI 2015

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

standardized online battery · 0.2cross-cultural study · 0.2
YearPublicationVenuePosition
2015 Collective Intelligence in Computer-Mediated Collaboration Emerges in Different Contexts and Cultures
abstract
Collective intelligence (CI) is a property of groups that emerges from the coordination and collaboration of members and predicts group performance on a wide range of tasks. Previous studies of CI have been conducted with lab-based groups in the USA. We introduce a new standardized online battery to measure CI and demonstrate consistent emergence of a CI factor across three different studies despite broad differences in (a) communication media (face-to-face vs online), (b) group contexts (short-term ad hoc groups vs long-term groups) and (c) cultural settings (US, Germany, and Japan). In two of the studies, we also show that CI is correlated with a group's performance on more complex tasks. Consequently, the CI metric provides a generalizable performance measure for groups that is robust to broad changes in media, context, and culture, making it useful for testing the effects of general-purpose collaboration technologies intended to improve group performance.
David Engel, Anita Williams Woolley, Ishani Aggarwal, Christopher F. Chabris, Masamichi Takahashi, Keiichi Nemoto, Carolin Kaiser, Young Ji Kim, Thomas W. Malone
CHI3