12 papers:
SIGIR-2014-WuKS #behaviour #online #using- Using information scent and need for cognition to understand online search behavior (WCW, DK, AS), pp. 557–566.
HT-2013-VigoH #information management- Challenging information foraging theory: screen reader users are not always driven by information scent (MV, SH), pp. 60–68.
- SIGIR-2013-Wu #behaviour #how #online #predict #using
- How far will you go?: characterizing and predicting online search stopping behavior using information scent and need for cognition (WCW), p. 1149.
CIKM-2011-LoumakisSG #image #smell- This image smells good: effects of image information scent in search engine results pages (FL, SS, DG), pp. 475–484.
HCI-NT-2009-HoriguchiNSK #analysis #interactive- Analysis of Breakdowns in Menu-Based Interaction Based on Information Scent Model (YH, HN, TS, YK), pp. 438–445.
CHI-2008-LawranceBBR #behaviour #maintenance #using- Using information scent to model the dynamic foraging behavior of programmers in maintenance tasks (JL, RKEB, MMB, KR), pp. 1323–1332.
- CHI-2003-ChiRSWRCRDCC #automation #usability #using #web
- The bloodhound project: automating discovery of web usability issues using the InfoScent simulator (EHhC, AR, GS, AW, CR, CC, ER, BD, JC, SBC), pp. 505–512.
- CHI-2001-CardPWMRSB #analysis #behaviour #graph #protocol #usability #web
- Information scent as a driver of Web behavior graphs: results of a protocol analysis method for Web usability (SKC, PP, MMVDW, JBM, RWR, PKS, JB), pp. 498–505.
- CHI-2001-ChiPCP #using #web
- Using information scent to model user information needs and actions and the Web (EHhC, PP, KC, JEP), pp. 490–497.
- CHI-2000-ChiPP #predict #usability #web
- The scent of a site: a system for analyzing and predicting information scent, usage, and usability of a Web site (EHhC, PP, JEP), pp. 161–168.
- CHI-1998-LarsonC #design #information retrieval #memory management #web
- Web Page Design: Implications of Memory, Structure and Scent for Information Retrieval (KL, MC), pp. 25–32.
- CHI-1997-Pirolli #modelling #scalability
- Computational Models of Information Scent-Following in a Very Large Browsable Text Collection (PP), pp. 3–10.
