Influences of mood on information seeking behavior

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Influences of mood on information seeking behavior

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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference extended abstracts on Human factors in computing systems table of contents

Boston, MA, USA

SESSION: Student research competition table of contents

Pages 3395-3400

Year of Publication: 2009

ISBN:978-1-60558-247-4

Authors

Mimi Zhang	College of Information Sciences and Technology, The Pennsylvania State University, State College, PA, USA
Bernard J. Jansen	College of Information Sciences and Technology, The Pennsylvania State University, State College, PA, USA

Sponsors

ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

ACM New York, NY, USA

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ABSTRACT

In this study, we explored how moods influence the way people seek information. We conducted a controlled lab study to test our hypotheses drawn from affect-as-information theory. Fifty-eight participants were randomly assigned to the happy or sad condition. They were primed for a certain mood, and they then performed a search task and finished a series of questionnaires. Our findings supported affect-as-information: the comparatively happy participants were inclined to process more general and less specific information; the comparatively sad participants were likely to process more specific information. The findings advances theoretical and empirical understanding concerning the characteristics of users' information seeking behavior under different moods. Our study will contribute to affective search systems design.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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