TY - GEN
T1 - Beyond binary gestures
T2 - 33rd Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2015
AU - Huang, Ziqi
AU - Beltran, Juan Felipe
AU - Abouzeid, Azza
AU - Nandi, Arnab
N1 - Funding Information:
This work was supported in part by the National Science Foundation under CAREER award IIS-1453582 and grants IIS-1420941 and IIS-1422977.
PY - 2015/4/18
Y1 - 2015/4/18
N2 - As keyboard-less devices such as tablets and smartphones become more important in daily life, searching and exploring documents has become an increasingly important task. Traditional document exploration interfaces require multiple keywords to be typed in, which is cumbersome and time-consuming using a touch-driven device. We present BigGo-an interface for exploration of documents using touch gestures. Our interface goes beyond common binary touch gestures as "like" or "dislike" the user is given a chance to not just provide binary feedback, but also explain why they like or dislike a certain document. Since the feedback is richer, it allows BinGo to provide a better recommendation of documents, and aid exploration of the documents. The ability to provide richer feedback improves the exploration experience and decreases the overall gesture cost for targeting the proper document set. User studies and the results show that BinGo outperforms binary gestural interfaces on recommendation quality while maintaining the usability on traditional like / dislike exploration mechanism on touch interfaces.
AB - As keyboard-less devices such as tablets and smartphones become more important in daily life, searching and exploring documents has become an increasingly important task. Traditional document exploration interfaces require multiple keywords to be typed in, which is cumbersome and time-consuming using a touch-driven device. We present BigGo-an interface for exploration of documents using touch gestures. Our interface goes beyond common binary touch gestures as "like" or "dislike" the user is given a chance to not just provide binary feedback, but also explain why they like or dislike a certain document. Since the feedback is richer, it allows BinGo to provide a better recommendation of documents, and aid exploration of the documents. The ability to provide richer feedback improves the exploration experience and decreases the overall gesture cost for targeting the proper document set. User studies and the results show that BinGo outperforms binary gestural interfaces on recommendation quality while maintaining the usability on traditional like / dislike exploration mechanism on touch interfaces.
KW - Documents
KW - Exploration
KW - Gestures
KW - Touch
UR - http://www.scopus.com/inward/record.url?scp=84954220272&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84954220272&partnerID=8YFLogxK
U2 - 10.1145/2702613.2732926
DO - 10.1145/2702613.2732926
M3 - Conference contribution
AN - SCOPUS:84954220272
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 1747
EP - 1760
BT - CHI 2015 - Extended Abstracts Publication of the 33rd Annual CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 18 April 2015 through 23 April 2015
ER -