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ACM Transactions on Computer-Human Interaction (TOCHI)
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ACM Transactions on Computer-Human Interaction (TOCHI)
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ACM SIGGROUP Bulletin
Effective Methodology for the Study of HCI
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UM '01 Proceedings of the 8th International Conference on User Modeling 2001
Just What Do the Youth of Today Want? Technology Appropriation by Young People
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 5 - Volume 5
Users Inventing Ways to Enjoy New Mobile Services -- The Case of Watching Mobile Videos
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 4 - Volume 4
TiVo: making show recommendations using a distributed collaborative filtering architecture
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UbiMob '04 Proceedings of the 1st French-speaking conference on Mobility and ubiquity computing
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improving the prediction accuracy of recommendation algorithms: Approaches anchored on human factors
Interacting with Computers
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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HOTMOBILE '07 Proceedings of the Eighth IEEE Workshop on Mobile Computing Systems and Applications
Computers in Entertainment (CIE) - Social television and user interaction
Relax or Study?: A Qualitative User Study on the Usage of Mobile TV and Video
EUROITV '08 Proceedings of the 6th European conference on Changing Television Environments
Intelligibility and accountability: human considerations in context-aware systems
Human-Computer Interaction
Human-Computer Interaction
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UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Personal and Ubiquitous Computing
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The viewing of video increasingly occurs in a wide range of public and private environments via a range of static and mobile devices. The proliferation of content on demand and the diversity of the viewing situations means that delivery systems can play a key role in introducing audiences to contextually relevant content of interest whilst maximising the viewing experience for individual viewers. However, for video delivery systems to do this, they need to take into account the diversity of the situations where video is consumed, and the differing viewing experiences that users desire to create within them. This requires an ability to identify different contextual viewing situations as perceived by users. This paper presents the results from a detailed, multi-method, user-centred field study with 11 UK-based users of video-based content. Following a review of the literature (to identify viewing situations of interest on which to focus), data collection was conducted comprising observation, diaries, interviews and self-captured video. Insights were gained into whether and how users choose to engage with content in different public and private spaces. The results identified and validated a set of contextual cues that characterise distinctive viewing situations. Four archetypical viewing situations were identified: `quality time', `opportunistic planning', `sharing space but not content' and `opportunistic self-indulgence'. These can be differentiated in terms of key contextual factors: solitary/shared experiences, public/private spaces and temporal characteristics. The presence of clear contextual cues provides the opportunity for video delivery systems to better tailor content and format to the viewing situation or additionally augment video services through social media in order to provide specific experiences sensitive to both temporal and physical contexts.