User interfaces and information systems have become increasingly social in recent years, aimed at supporting the decentralized, cooperative production and use of content. A theory that predicts the impact of interface and interaction designs on such factors as participation rates and knowledge discovery is likely to be useful. This paper reviews a variety of observed phenomena in social information foraging and sketches a framework extending Information Foraging Theory towards making predictions about the effects of diversity, interference, and cost-of-effort on performance time, participation rates, and utility of discoveries.
%0 Conference Paper
%1 pirolli2009
%A Pirolli, Peter
%B CHI '09: Proceedings of the 27th international conference on Human factors in computing systems
%C New York, NY, USA
%D 2009
%I ACM
%K information model tagging theory
%P 605--614
%R http://doi.acm.org/10.1145/1518701.1518795
%T An elementary social information foraging model
%U http://portal.acm.org/citation.cfm?id=1518701.1518795
%X User interfaces and information systems have become increasingly social in recent years, aimed at supporting the decentralized, cooperative production and use of content. A theory that predicts the impact of interface and interaction designs on such factors as participation rates and knowledge discovery is likely to be useful. This paper reviews a variety of observed phenomena in social information foraging and sketches a framework extending Information Foraging Theory towards making predictions about the effects of diversity, interference, and cost-of-effort on performance time, participation rates, and utility of discoveries.
%@ 978-1-60558-246-7
@inproceedings{pirolli2009,
abstract = {User interfaces and information systems have become increasingly social in recent years, aimed at supporting the decentralized, cooperative production and use of content. A theory that predicts the impact of interface and interaction designs on such factors as participation rates and knowledge discovery is likely to be useful. This paper reviews a variety of observed phenomena in social information foraging and sketches a framework extending Information Foraging Theory towards making predictions about the effects of diversity, interference, and cost-of-effort on performance time, participation rates, and utility of discoveries.},
added-at = {2010-02-26T18:08:34.000+0100},
address = {New York, NY, USA},
author = {Pirolli, Peter},
biburl = {https://www.bibsonomy.org/bibtex/2cc8682bfd2eacaf363c08dceb9403e48/mstrohm},
booktitle = {CHI '09: Proceedings of the 27th international conference on Human factors in computing systems},
description = {An elementary social information foraging model},
doi = {http://doi.acm.org/10.1145/1518701.1518795},
interhash = {5165fbf5a422f14f227635d183387936},
intrahash = {cc8682bfd2eacaf363c08dceb9403e48},
isbn = {978-1-60558-246-7},
keywords = {information model tagging theory},
location = {Boston, MA, USA},
pages = {605--614},
publisher = {ACM},
timestamp = {2010-02-26T18:08:34.000+0100},
title = {An elementary social information foraging model},
url = {http://portal.acm.org/citation.cfm?id=1518701.1518795},
year = 2009
}