JOURNAL ARTICLE

SpotiView: A Partial-Face Display Method for Remote Communication.

  • Published In: International Journal of Semantic Computing, 2025, v. 19, n. 4. P. 615 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Kishimoto, Ryota; Tsuchida, Shuhei; Terada, Tsutomu; Tsukamoto, Masahiko 3 of 3

Abstract

In videoconferencing platforms like Zoom and Microsoft Teams, many participants refrain from showing their faces due to privacy concerns or a lack of confidence in their appearance. This leads to a reduction in the transmission of non-verbal information conveyed through facial expressions. To address this, we propose SpotiView, a partial-face display method that protects privacy while enhancing communication. Showing only key facial areas like the eyes or mouth, adjusting the size and blurring SpotiView effectively convey non-verbal cues while maintaining privacy. Seamlessly integrated into major videoconferencing tools, the system allows instant changes to visible facial parts using a virtual camera. We conducted a user questionnaire to evaluate whether the partial display of the face can support smooth communication while maintaining privacy. A questionnaire study found that the eyes-only mode felt as comfortable as using an avatar and supported conversation turn-taking better than either camera-off or avatar modes. It also lowered users' resistance to being on camera by about 35% compared with full-face display. Thus, partial-face display offers a novel approach to optimally combining the benefits of camera-on and camera-off modes, catering to the diverse needs of videoconferencing. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Semantic Computing. 2025/12, Vol. 19, Issue 4, p615
  • Document Type:Article
  • Subject Area:Communication and Mass Media
  • Publication Date:2025
  • ISSN:1793351X
  • DOI:10.1142/S1793351X25450047
  • Accession Number:190578890
  • Copyright Statement:Copyright of International Journal of Semantic Computing is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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