A study of mobile information exploration with multi-touch interactions

Shuguang Han, I. Han Hsiao, Denis Parra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Compared to desktop interfaces, touch-enabled mobile devices allow richer user interaction with actions such as drag, pinch-in, pinch-out, and swipe. While these actions have been already used to improve the ranking of search results or lists of recommendations, in this paper we focus on understanding how these actions are used in exploration tasks performed over lists of items not sorted by relevance, such as news or social media posts. We conducted a user study on an exploratory task of academic information, and through behavioral analysis we uncovered patterns of actions that reveal user intention to navigate new information, to relocate interesting items already explored, and to analyze details of specific items. With further analysis we found that dragging direction, speed and position all implied users' judgment on their interests and they offer important signals to eventually learn user preferences.

Original languageEnglish (US)
Title of host publicationSocial Computing, Behavioral-Cultural Modeling, and Prediction - 7th International Conference, SBP 2014, Proceedings
PublisherSpringer Verlag
Pages269-276
Number of pages8
ISBN (Print)9783319055787
DOIs
StatePublished - 2014
Externally publishedYes
Event7th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2014 - Washington, DC, United States
Duration: Apr 1 2014Apr 4 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8393 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2014
Country/TerritoryUnited States
CityWashington, DC
Period4/1/144/4/14

Keywords

  • Multi-touch interactions
  • implicit relevance feedback
  • mobile information seeking behaviors

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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