DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 신인식 | - |
dc.contributor.author | Son, Seoyun | - |
dc.contributor.author | 손서윤 | - |
dc.date.accessioned | 2024-07-25T19:31:23Z | - |
dc.date.available | 2024-07-25T19:31:23Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1045951&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/320719 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전산학부, 2023.8,[vi, 42 p. :] | - |
dc.description.abstract | Online meetings have become indispensable in collaborative remote work environments due to the increased remote work and globalization. Their distributed and location-agnostic nature often causes vulnerability to voluntary and involuntary distractions, which leads to a loss of engagement and context. However, working from home environments has unavoidable distractions, and natural multitasking has positive tradeoff effects that increase overall work productivity. This study investigates the impact of real-time transcriptions (i.e., full-transcripts, summaries, and keywords) as a solution to facilitate online meetings during distracting moments while still preserving multitasking behaviors. Through two rounds of controlled user studies, we demonstrate both qualitatively and quantitatively that real-time transcriptions help participants catch up with the meeting flow and reduce interference, particularly after distractions. Furthermore, we uncover additional benefits of real-time transcriptions, such as supporting content recall, and suggest design implications for future online meeting platforms to adaptively provide transcriptions based on users' specific needs and goals. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | 화상 회의▼a멀티태스킹▼a집중력 분산▼a온라인 회의▼a실시간 자막 | - |
dc.subject | Video-conferencing▼amultitasking▼adistraction▼aonline meeting▼areal-time transcriptions | - |
dc.title | Exploring how AI-based real-time transcriptions can help overcome distractions for online meeting participants | - |
dc.title.alternative | AI 기반 실시간 자막 지원을 통한 화상 회의 참여자의 주의 산만 문제 해결 방법 탐색 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전산학부, | - |
dc.contributor.alternativeauthor | Shin, Insik | - |
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