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-ofeffort
on performance time, participation rates, and utility
of discoveries.
%0 Book Section
%1 pirolli_2009
%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_foraging
%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=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-ofeffort
on performance time, participation rates, and utility
of discoveries.
%@ 978-1-60558-246-7
@incollection{pirolli_2009,
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-ofeffort
on performance time, participation rates, and utility
of discoveries.},
added-at = {2009-07-07T17:39:28.000+0200},
address = {New York, NY, USA},
author = {Pirolli, Peter},
biburl = {https://www.bibsonomy.org/bibtex/2dca27c261fdc15c3ab3af6904dc31023/tobold},
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 = {dca27c261fdc15c3ab3af6904dc31023},
isbn = {978-1-60558-246-7},
keywords = {information_foraging},
location = {Boston, MA, USA},
pages = {605--614},
publisher = {ACM},
timestamp = {2009-07-07T17:39:28.000+0200},
title = {An elementary social information foraging model},
url = {http://portal.acm.org/citation.cfm?id=1518795},
year = 2009
}