SmartLog: A Smart TV-Based Lifelogging System for Capturing, Storing, and Visualizing Watching Behavior

The modern smart TV can record viewers' daily life-watching experiences called digital logs. These logs can be used for various purposes, including but not limited to recommendations, monitoring viewers, watching behavior, memory augmentation, e-learning, viewers' privacy, and designing and developing adaptive User Interfaces (UI). Much work is available on lifelogging technologies related to smartphones, fitness gadgets, and wearable and non-wearable devices. However, little attention has been given to smart TV-based lifelogging systems. In this paper, we proposed a TV-based SmartLog framework for logging specific information about watching experiences. The proposed work is implemented and installed on Android-based Smart TV. We logged various activities of individual viewers and other household members and their environmental contexts. We empirically evaluated the proposed solution by analyzing data from 75 household viewers of different age groups. These groups include teenagers, homemakers, senior citizens, literate, and educated. We carried out various tests on the collected data, ie, descriptive tabulation, Kendall's tau-b, Cronbach alpha, and Principal Component Factor Analysis (PCFA). The findings suggest that the SmartLog app received a positive perception regarding attitude, user satisfaction, ease of use, and intention to use. The proposed solution can be used to assist household viewers in terms of personalization, usability, accessibility, user experience, learnability, and reducing cognitive overload while interacting with smart TV.