Internet of Things (IoT) driven media recommendations for television viewers. The concept of IoT TV

Abstract: In today’s overloaded media landscape, television viewers are constantly confronted with the problem of what media content to select. This media overload speaks directly to the theory of bounded rationality when viewers work to understand all available choices. This thesis presents and evaluates an Internet of Things driven media recommendation concept (IoT TV) which could ease decision making for viewers by providing more personalized media content recommendations. This study evaluates the concept using three focus groups to understand what aspects of IoT TV are important for viewers. IoT TV concept addresses factors such as timing and emotions which influence a media choice extensively. The conducted thematic analysis identifies the four themes: time saving and passing, monitoring people and devices, media choice, and privacy. These themes are treated as the results of this study because the themes describe the important aspects which have to be considered before launching IoT TV. IoT TV will make media content selection easier by saving time and matching content according to emotions. Consequently, IoT TV connection with smart devices which share data about viewers’ time and emotions would solve the problem of media overload.