ABSTRACT
This paper presents an explorative investigation into households? uses of traditional broadcast television (TV) and more recently introduced video-on-demand (VoD) services. More specifically, we explain how each way of viewing TV and video content relates to different viewing situations in the home. We conducted in-home interviews with seven households in The Netherlands in order to obtain rich data that are required for understanding these phenomena. Our results elaborate on the uses of watching broadcast TV, catch-up services, and video-on-demand streaming services, the recording of content, and the downloading of content. While the traditional broadcast model is on the decline to some extent, our data still revealed essential uses of broadcast concerning certain types of content and specific viewing situations. Based on the results, a number of implications for the design of recommender systems and interfaces, service providers and broadcasters, and TV manufacturers are presented.
- Abreu, J., Almeida, P., and Teles, B. TV Discovery & Enjoy: A New Approach to Help Users Finding the Right TV Program to Watch. Proceedings of the 2014 ACM International Conference on Interactive Experiences for TV and Online Video, ACM (2014), 63--70. Google ScholarDigital Library
- Abreu, J., Almeida, P., Teles, B., and Reis, M. Viewer Behaviors and Practices in the (New) Television Environment. Proceedings of the 11th European Conference on Interactive TV and Video, ACM (2013), 5--12. Google ScholarDigital Library
- Barkhuus, L. and Brown, B. Unpacking the television: User practices around a changing technology. ACM Transactions on Computer-Human Interaction (TOCHI) 16, 3 (2009), 15. Google ScholarDigital Library
- Brodesser-Akner, T. Life Without Cable TV? Not Such a Tragedy. The New York Times, 2012. http://www.nytimes.com/2012/11/25/arts/television/life -without-cable-tv-not-such-a-tragedy.html.Google Scholar
- Cain Miller, C. YouTube Tries to Become More Like TV. Bits Blog, 2012. http://bits.blogs.nytimes.com/2012/12/06/YouTubetries-to-become-more-like-tv/.Google Scholar
- Chaney, A. J. B., Gartrell, M., Hofman, J. M., Guiver, J., Koenigstein, N., Kohli, P., & Paquet, U. (2014). A Large-scale Exploration of Group Viewing Patterns. In Proceedings of the 2014 ACM International Conference on Interactive Experiences for TV and Online Video (pp. 31--38). New York, NY, USA: ACM. doi:10.1145/2602299.2602309 Google ScholarDigital Library
- Churchill, E. Putting the person back into personalization. Interactions 20, 5 (2013), 12--15. New York, NY, USA: ACM. doi:10.1145/2504847 Google ScholarDigital Library
- Clover, J. Counting Netflix by country. Broadband TV News. http://www.broadbandtvnews.com/2014/07/24/countin g-netflix-by-country/.Google Scholar
- Geerts, D., Cesar, P., and Bulterman, D. The implications of program genres for the design of social television systems. Proceedings of the 1st international conference on Designing interactive user experiences for TV and video, ACM (2008), 71--80. Google ScholarDigital Library
- Honan, M. No One Uses Smart TV Internet Because It Sucks | Gadget Lab | Wired.com. Gadget Lab. http://www.wired.com/gadgetlab/2012/12/internet-tvsucks/.Google Scholar
- Kujala, S., Vogel, M., Pohlmeyer, A.E., and Obrist, M. Lost in Time: The Meaning of Temporal Aspects in User Experience. CHI '13 Extended Abstracts on Human Factors in Computing Systems, ACM (2013), 559--564. Google ScholarDigital Library
- Knijnenburg, B.P., Willemsen, M.C., Gantner, Z., Soncu, H., and Newell, C. Explaining the user experience of recommender systems. User Modeling and User-Adapted Interaction 22, 4--5 (2012), 441--504. Google ScholarDigital Library
- Masthoff, J. Group Modeling: Selecting a Sequence of Television Items to Suit a Group of Viewers. User Modeling and User-Adapted Interaction 14, 1 (2004), 37--85. Google ScholarDigital Library
- Mercer, K., May, A., and Mitchel, V. Designing for video: investigating the contextual cues within viewing situations. Personal and Ubiquitous Computing 18, 3 (2014), 723--735. Google ScholarDigital Library
- Netflix near 1 mln subscribers in Netherlands. telecompaper. 15 February, 2015. http://www.telecompaper.com/news/netflix-near-1mln-subscribers-in-netherlands--1065387.Google Scholar
- Saxbe, D., Graesch, A., and Alvik, M. Television as a Social or Solo Activity: Understanding Families? Everyday Television Viewing Patterns. Communication Research Reports 28, 2 (2011), 180--189.Google ScholarCross Ref
- Tsekleves, E., Whitham, R., Kondo, K., and Hill, A. Investigating media use and the television user experience in the home. Entertainment Computing 2, 3 (2011), 151--161.Google ScholarCross Ref
- Vanattenhoven, J. and Geerts, D. Contextual aspects of typical viewing situations - a new perspective for recommending television and video content. Conditionally accepted for Personal and Ubiquitous Computing, Special Issue: Interactive Experiences for Television and Online Video (2015).Google Scholar
Index Terms
- Broadcast, Video-on-Demand, and Other Ways to Watch Television Content: A Household Perspective
Recommendations
Augmenting Television With Augmented Reality
TVX '19: Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online VideoThis paper explores the effects of adding augmented reality (AR) artefacts to an existing TV programme. A prototype was implemented augmenting a popular nature documentary. Synchronised content was delivered over a Microsoft HoloLens and a TV. Our ...
Interactive television: new genres, new format, new content
IE '05: Proceedings of the second Australasian conference on Interactive entertainmentThe aim of this paper is to discuss some of the main issues associated with interactive genres, formats and content in the context of interactive television (ITV). First, a set of new forms or categorizations of ITV will be presented. Second, the suite ...
Perceived usefulness and performance of human-to-human communications on television
A key assumption of future television (TV) environments is that the future TV viewing experiences will be more active and interactive. Currently several TV technologies based on networked computing, e.g., IPTV (Internet Protocol TV) or Mobile TV, have ...
Comments