BIGFile: Bayesian Information Gain for Fast File Retrieval

Wanyu Liu 1, 2 Olivier Rioul 1 Joanna Mcgrenere 3, 2 Wendy Mackay 2 Michel Beaudouin-Lafon 2
1 LTCI - Laboratoire Traitement et Communication de l'Information
2 EX-SITU - Extreme Interaction
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
3 Department of Computer Science [University of British Columbia]
Abstract : We introduce BIGFile, a new fast file retrieval technique based on the Bayesian Information Gain framework. BIGFile provides interface shortcuts to assist the user in navigating to a desired target (file or folder). BIGFile's split interface combines a traditional list view with an adaptive area that displays shortcuts to the set of file paths estimated by our computa-tionally efficient algorithm. Users can navigate the list as usual, or select any part of the paths in the adaptive area. A pilot study of 15 users informed the design of BIGFile, revealing the size and structure of their file systems and their file retrieval practices. Our simulations show that BIGFile outper-forms Fitchett et al.'s AccessRank, a best-of-breed prediction algorithm. We conducted an experiment to compare BIGFile with ARFile (AccessRank instantiated in a split interface) and with a Finder-like list view as baseline. BIGFile was by far the most efficient technique (up to 44% faster than ARFile and 64% faster than Finder), and participants unanimously preferred the split interfaces to the Finder.
Keywords : ACM Classification Keywords H52 [Information Interfaces and Presentation]: User Interfaces-Interaction styles Author Keywords Navigation-based file retrieval Split adaptive interfaces Bayesian approach Mutual information
Type de document :
Communication dans un congrès
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), Apr 2018, Montreal QC, Canada. ACM Press, 〈10.1145/3173574.3173959〉
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Contributeur : Wanyu Liu <>
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Dernière modification le : jeudi 7 février 2019 - 14:34:30
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CENTRALESUPELEC | TELECOM-PARISTECH | INRIA | UMR8623 | LRI-HCC | UNIV-PARIS-SACLAY | PARISTECH

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Wanyu Liu, Olivier Rioul, Joanna Mcgrenere, Wendy Mackay, Michel Beaudouin-Lafon. BIGFile: Bayesian Information Gain for Fast File Retrieval. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), Apr 2018, Montreal QC, Canada. ACM Press, 〈10.1145/3173574.3173959〉. 〈hal-01791754〉

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