TY - GEN
T1 - Visualization of personal history for video navigation
AU - Al-Hajri, Abir
AU - Miller, Gregor
AU - Fong, Matthew
AU - Fels, Sidney
PY - 2014
Y1 - 2014
N2 - We present an investigation of two different visualizations of video history: Video Timeline and Video Tiles. Video Timeline extends the commonly employed list-based visualization for navigation history by applying size to indicate heuristics and occupying the full screen with a two-sided timeline. Video Tiles visualizes history items in a grid-based layout by following pre-defined templates based on items' heuristics and ordering, utilizing screen space more effectively at the expense of a clearer temporal location. The visualizations are compared against the state-of-the-art method (a filmstrip-based visualization), with ten participants tasked with sharing their previously-seen affective intervals. Our study shows that our visualizations are perceived as intuitive and both outperform and are strongly preferred to the current method. Based on these results, Video Timeline and Video Tiles provide an effective addition to video viewers to help manage the growing quantity of video. They provide users with insight into their navigation patterns, allowing them to quickly find previouslyseen intervals, leading to efficient clip sharing, simpler authoring and video summarization.
AB - We present an investigation of two different visualizations of video history: Video Timeline and Video Tiles. Video Timeline extends the commonly employed list-based visualization for navigation history by applying size to indicate heuristics and occupying the full screen with a two-sided timeline. Video Tiles visualizes history items in a grid-based layout by following pre-defined templates based on items' heuristics and ordering, utilizing screen space more effectively at the expense of a clearer temporal location. The visualizations are compared against the state-of-the-art method (a filmstrip-based visualization), with ten participants tasked with sharing their previously-seen affective intervals. Our study shows that our visualizations are perceived as intuitive and both outperform and are strongly preferred to the current method. Based on these results, Video Timeline and Video Tiles provide an effective addition to video viewers to help manage the growing quantity of video. They provide users with insight into their navigation patterns, allowing them to quickly find previouslyseen intervals, leading to efficient clip sharing, simpler authoring and video summarization.
KW - History
KW - Navigation
KW - Video
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=84900449548&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84900449548&partnerID=8YFLogxK
U2 - 10.1145/2556288.2557106
DO - 10.1145/2556288.2557106
M3 - Conference contribution
AN - SCOPUS:84900449548
SN - 9781450324731
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 1187
EP - 1196
BT - CHI 2014
PB - Association for Computing Machinery
T2 - 32nd Annual ACM Conference on Human Factors in Computing Systems, CHI 2014
Y2 - 26 April 2014 through 1 May 2014
ER -