Improving user experience with unique channel list on hybrid set-top boxes

Soskic, Nenad; Vranic, Nikola; Lukić, Nemanja

doi:10.1109/cews.2015.7867152

Cited by 7 publications

(3 citation statements)

References 3 publications

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“…Browsing in the smart TV browser is a complex task, among other tasks. Each individual's characteristics are different, and the UI of smart is complex [12,70,71]. Another issue with a smart TV is the system setting.…”

Section: Browsing and Scrolling Issuesmentioning

confidence: 99%

Perspectives on the Design, Challenges, and Evaluation of Smart TV User Interfaces

Khan

Khusro

Alam

et al. 2022

Scientific Programming

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The user interface (UI) is a primary source of interaction with a device. Since the introduction of graphical user interface (GUI), software engineers and designers have been trying to make user-friendly UIs for various computing devices, including smartphones, tablets, and computers. The modern smart TV also comes with built-in operating systems. However, little attention has been given to this prominent entertainment device, i.e., smart TV. The technological advancement and proliferation of smart TV enabled the manufacturer to provide rich functionalities and features; however, this richness resulted in more clutter and attention-demanding interfaces. Besides, smart TV is a lean-back supporting device having a diverse range of users. Therefore, smart TV’s usability and user experience (UX) are questionable due to diverse user interests and limited features of traditional remote controls. This study aimed to discuss and critically analyze the features and functionalities of the existing well-known smart TV UIs of various operating systems in the context of usability, cognition, and UX. Moreover, this study highlights the issues and challenges in the current smart TV UIs and recommends some research opportunities to cope with the smart TV UIs. This study further reports and validates some overlooked factors affecting smart TV UIs and UX. A subjective study and usability tests from diverse users are presented to validate these factors. The study concludes that a one-size-fits-all UI design is unsuitable for shared devices, i.e., smart TV. This study further recommends a personalized adaptive UI, which may enhance the learnability and UXs of the smart TV viewers.

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Section: Browsing and Scrolling Issuesmentioning

confidence: 99%

Perspectives on the Design, Challenges, and Evaluation of Smart TV User Interfaces

Khan

Khusro

Alam

et al. 2022

Scientific Programming

View full text Add to dashboard Cite

show abstract

“…Surfing web 2.0 features with a primary communication device (remote control) is a cumbersome job. As discussed, the main activity on a smart TV is to watch movies and videos on the big screen [20,21]. Diverse interest of group members…”

Section: Watching Behavior On Smart Tvmentioning

confidence: 99%

“…Such concerns need a thorough investigation to make smart TV more user-friendly and intelligent. As discussed, a smart TV can provide rich types of entertainment on a single platform; however, smart TVs are widely used for streaming live channels and movies [20,21]. This distinct nature puts a question mark on the performance of the existing recommender systems because these systems are specially designed for personalized recommendations on personalized devices, such as smartphones and personal computers.…”

Section: Introductionmentioning

confidence: 99%

Factors Affecting the Performance of Recommender Systems in a Smart TV Environment

2019

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The recommender systems are deployed on the Web for reducing cognitive overload. It uses different parameters, such as profile information, feedbacks, history, etc., as input and recommends items to a user or group of users. Such parameters are easy to predict and calculate for a single user on a personalized device, such as a personal computer or smartphone. However, watching the Web contents on a smart TV is significantly different from other connected devices. For example, the smart TV is a multi-user, lean-back supported device, and normally enjoyed in groups. Moreover, the performance of a recommender system is questionable due to the dynamic interests of groups in front of a smart TV. This paper discussed in detail the existing recommender system approaches in the context of smart TV environment. Moreover, it highlights the issues and challenges in existing recommendations for smart TV viewer(s) and presents some research opportunities to cope with these issues. The paper further reports some overlooked factors that affect the recommendation process on a smart TV. A subjective study of viewers’ watching behavior on a smart TV is also presented for validating these factors. Results show that apart from all technological advancement, the viewers are enjoying smart TV as a passive, lean-back device, and mostly used for watching live channels and videos on the big screen. Furthermore, in most households, smart TV is enjoyed in groups as a shared device which creates hurdles in personalized recommendations. This is because predicting the group members and satisfying each member is still an issue. The findings of this study suggest that for precise and relevant recommendations on smart TVs, the recommender systems need to adapt to the varying watching behavior of viewer(s).

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Personalized content recommendations on smart TV: Challenges, opportunities, and future research directions

Alam

Khusro

Khan

2021

Entertainment Computing

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Improving user experience with unique channel list on hybrid set-top boxes

Cited by 7 publications

References 3 publications

Perspectives on the Design, Challenges, and Evaluation of Smart TV User Interfaces

Perspectives on the Design, Challenges, and Evaluation of Smart TV User Interfaces

Factors Affecting the Performance of Recommender Systems in a Smart TV Environment

Personalized content recommendations on smart TV: Challenges, opportunities, and future research directions

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