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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.8
- 수록면
- 5 - 12 (8page)
- DOI
- 10.17210/jhsk.2019.08.14.3.5
이용수
이 논문의 연구 히스토리 (2)
2019
Usability Evaluation of Self-Diagnosis User Interfaces for Depression: A Comparative Study among Paper-Based, Text-Based, and Voice-Based Conversational Interfaces
Omtawan Mangkang
,
Jae Young Yun
한국HCI학회 논문지
2019.08
학술저널
A Comparative Study of Self-Diagnosis User Interfaces for Depression : Focusing on Usability of Paper-Based, Text-Based and Voice-Based Conversational Interface
Omtawan Mangkang
,
Jae Young Yun
한국HCI학회 학술대회
2019.02
학술대회자료
- 이 논문의 후속연구가 궁금하신가요?
- 연관 학술논문 또는 학술발표를 통해 보다 발전된 연구결과를 확인하실 수 있습니다.
- 이 논문의 연구 히스토리 확인하기
초록· 키워드
오류제보하기
Depression is a highly prevalent illness not only in Korea but alsoaround the world. Recently, Artificial Intelligence (A.I.) has been used and contributed in the area of mental healthservice as well. This study aims to identify the most preferred platform for evaluating mental health conditions, particularly depression by analyzing the usability of 3 different platforms; (i)paper-based, (ii)text-based chatbot and (iii)voice-based chatbot. The indicators of usability considered in this study are effectiveness, learnability, reliability, humanness, and likability. Primary data in this paper gathered via survey and face-to-face interview with 50 participants. The result shows significant difference between humanness and likability across all platforms, however, there is no significant difference between text-based chatbot and voice-based chatbot in the aspect of effectiveness, learnability, and reliability. Owing to the highest mean, voice-base chatbot is the most preferred choice of the respondents. Thus, it is predicted that voice-based chatbot will become widely available in the near future as it is effective, easy to learn, reliable, human like and likable. Hence it should be taken into account in the field of depression therapy in the near future.
목차
Abstract
1. Introduction
2. Theoretical Background
3. Methodology
4. Results
5. Discussion
6. Conclusion
Reference
참고문헌 (24)
참고문헌 신청
Pearl, C. / 2016 / Designing Voice User Interfaces: Principles of Conversational Experiences / O'Reilly Media, Inc
Doshi, S. V. / 2017 / Artificial Intelligence Chatbot in Android System Using Open Source Program-O / International Journal of Advanced Research in Computer and Communication Engineering 6(4):816~821
Fitzpatrick / 2017 / Delivering Cognitive Behavior Therapy to Young Adults WithSymptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial / The Journal of Medical Internet Research 4(2):1~11
Zimmerman, M. / 2006 / How should remission from depression be defined? The depressed patient’s perspective / American Journal of Psychiatry 163(1):148~150
Weizenbaum, J. / 1976 / Computer power and human reason:From judgment to calculation / W.H. Freeman & Co. Ltd
Doshi, S. V. / 2017 / Artificial Intelligence Chatbot in Android System Using Open Source Program-O / International Journal of Advanced Research in Computer and Communication Engineering 6(4):816~821
Fitzpatrick / 2017 / Delivering Cognitive Behavior Therapy to Young Adults WithSymptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial / The Journal of Medical Internet Research 4(2):1~11
Zimmerman, M. / 2006 / How should remission from depression be defined? The depressed patient’s perspective / American Journal of Psychiatry 163(1):148~150
Weizenbaum, J. / 1976 / Computer power and human reason:From judgment to calculation / W.H. Freeman & Co. Ltd
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UCI(KEPA) : I410-ECN-0101-2019-004-000978159