User Expectations on Smart Tv; An Empiric Study on User Emotions Towards Smart Tv

Abstract

As a result of the introduction of new technologies in consumer electronics, analog TV shifted from a mere viewing experience to a personalized digital TV experience where users are encouraged to interact. The application of these new technologies not only create changes in physical appearance and adding more functionalities to TVs but it also shifts user expectations, which are mainly emotionally driven. The initial attempt of this study is to determine which emotions are involved in smart TV preference and why those particular emotions are aroused. In other words, this study aims to discover the link among contents, activities and user interaction as well as the relationship between triggered emotions and user expectations. By doing so, it analyses user emotions and expectations towards a dream TV. The primary data is collected towards semi-structured in-depth interviews. The results show that Smartness, High quality, Personalization, Functionality and Appearance are the key features that meet the expectations towards TV experience. User-friendliness, compatibleness, enjoyableness, awareness, novel-interactions, self-defense smart software and voice remote are the consequent expectations. All these expectations arise from different underlying emotional tendencies. With its initial attempt to propose guidelines for designers, this study suggests that for designing a smart TV that meets user expectations, its design should enable smart interaction that simplifies managing task (Smartness), high quality of picture and sound to enable innovative continuous experience (High quality), supporting not missing any content of interest and filter unwanted ones (Personalization), utilize all kinds of usage comfortably (Functionality), and should have an aesthetic look, even seamless design that fits any possible environment (Appearance).

Data-driven personalisation of television content: a survey

“…move towards an approach to cross-domain recommendation) and discover the link among media content, activities and user interaction as well, e.g. formulating this as a relationship between triggered emotions and user expectations [300].…”