TY - GEN
T1 - A study of mobile information exploration with multi-touch interactions
AU - Han, Shuguang
AU - Hsiao, I. Han
AU - Parra, Denis
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Multi-touch interactions
KW - implicit relevance feedback
KW - mobile information seeking behaviors
UR - http://www.scopus.com/inward/record.url?scp=84958544229&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958544229&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-05579-4_33
DO - 10.1007/978-3-319-05579-4_33
M3 - Conference contribution
AN - SCOPUS:84958544229
SN - 9783319055787
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 269
EP - 276
BT - Social Computing, Behavioral-Cultural Modeling, and Prediction - 7th International Conference, SBP 2014, Proceedings
PB - Springer Verlag
T2 - 7th International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, SBP 2014
Y2 - 1 April 2014 through 4 April 2014
ER -