학술논문
Managing turn-taking through beep sounds by Bixby: Applying conversation analysis to human-chatbot interaction constructions
이용수 7
- 영문명
- Managing turn-taking through beep sounds by Bixby: Applying conversation analysis to human-chatbot interaction constructions
- 발행기관
- 경희대학교 언어정보연구소
- 저자명
- 라지영 이요안
- 간행물 정보
- 『언어연구』제40권 Special Edition, 61~87쪽, 전체 27쪽
- 주제분류
- 인문학 > 언어학
- 파일형태
- 발행일자
- 2023.09.30
6,040원
구매일시로부터 72시간 이내에 다운로드 가능합니다.
이 학술논문 정보는 (주)교보문고와 각 발행기관 사이에 저작물 이용 계약이 체결된 것으로, 교보문고를 통해 제공되고 있습니다.
국문 초록
영문 초록
This paper explores turn-taking between users and Bixby, a Samsung voiceassistant. While using a simplified turn-taking system designed to guide users, Bixby doesnot fully understand and replicate the complex turn-taking system that characterizes humaninteraction. Utilizing Conversation Analysis (CA), this paper highlights the limitations ofBixby’s turn-taking system, which relies on mechanical cues such as ding↓↑ to indicate turninitiation and turn completion. These cues prove inadequate in accommodating the dynamicnature of human interaction, causing confusion in users regarding when and how to talkto the digital assistant. Users often predict turn endings based on their familiarity with humanturn-taking, which is often incompatible with Bixby’s rigid turn-taking mechanisms. Thisstudy incorporates insights form CA and applies sequential analysis to interactions betweenhumans and the voice digital assistant to explicate how Bixby’s turn-taking mechanisms becomeproblematic. This information helps explore ways to improve these interactions.
목차
1. Introduction
2. Literature review
3. Methods
4. Results
5. Conclusion
References
키워드
해당간행물 수록 논문
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- The role of L2 experience on the perceived similarity and identification of British English vowels by Vietnamese speakers
- Post-editing of machine translation while reading on English proficiency levels
- Managing turn-taking through beep sounds by Bixby: Applying conversation analysis to human-chatbot interaction constructions
- Orthographic influence on resyllabification errors by Vietnamese learners of Korean: A speech corpus study
- L2 processing of morphologically complex words in Chinese
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