A system designed to collect users' TV-watching data using a smart TV, smartphones, and smart watches

Jehwan Seo, Hyun Kyu Yun, Hyunchul Lim, Bongwon Suh, Changhoon Oh, Joongseek Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this study, we suggest an enhanced smart TV logging system composed of a smart TV, smartphone, and smart watch. It can be used to research the audience's complicated and segmented behaviors while watching TV. We designed a prototype of the system, which can not only detect whether viewers are located in the TV-viewing area but also measure their movements and activities by analyzing beacon signals and sensor data from the smart watch. We conducted a technical evaluation to verify its fidelity and measure its performance, and a user study identified what factors affect the users' level of engagement with the TV content. The experiment results showed that the system accurately detected and measured users' location and engagement levels while watching TV. We found that smartphone usage while watching TV is important in understanding users' TV-viewing behavior.

Original languageEnglish
Title of host publicationTVX 2016 - Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video
PublisherAssociation for Computing Machinery, Inc
Pages147-153
Number of pages7
ISBN (Electronic)9781450340670
DOIs
Publication statusPublished - 2016 Jun 17
Event3rd ACM International Conference on Interactive Experiences for TV and Online Video, TVX 2016 - Chicago, United States
Duration: 2016 Jun 222016 Jun 24

Publication series

NameTVX 2016 - Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video

Conference

Conference3rd ACM International Conference on Interactive Experiences for TV and Online Video, TVX 2016
Country/TerritoryUnited States
CityChicago
Period16/6/2216/6/24

Bibliographical note

Publisher Copyright:
Copyright is held by the owner/author(s).

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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