AVATAR: an approach based on semantic reasoning to recommend personalized TV programs
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
IEEE Transactions on Knowledge and Data Engineering
A Lightweight Mobile TV Recommender
EUROITV '08 Proceedings of the 6th European conference on Changing Television Environments
EUROITV '08 Proceedings of the 6th European conference on Changing Television Environments
What Can I Watch on TV Tonight?
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
AIMED: a personalized TV recommendation system
EuroITV'07 Proceedings of the 5th European conference on Interactive TV: a shared experience
Ifelt: accessing movies through our emotions
Proceddings of the 9th international interactive conference on Interactive television
Who is on your sofa?: TV audience communities and second screening social networks
Proceedings of the 10th European conference on Interactive tv and video
Proceedings of the 10th European conference on Interactive tv and video
Hi-index | 0.00 |
This paper presents the main results of a study conducted in Portugal with the aim of identifying the current trends of the television ecosystem, with special relevance to understand the cognitive processes of viewers when selecting what to watch on TV. To this end, an online survey targeted mainly to young adults with mid to high academic degrees was designed. The survey gathered more than 600 responses, of which 550 were validated and taken into account in the data analysis. The results provide a detailed insight about the habits, dynamics and behaviors of spectators regarding the actual scenario of television. It also allowed the identification of the most relevant criteria considered by viewers when deciding what to watch on TV. The most important ones include the program genre followed by the state of mind (mood), the people who share the couch with and the time available to watch TV. The results also provide a structuring framework for the design of interactive television applications, targeted to this audience in the areas of personalization, recommendation and search and discovery of TV content.