메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
Seungyeon Lee (Seoul National University) Chan Hyeok Yun (Seoul National University) Gee Won Shin (Seoul National University) Soo Yeon Kim (Seoul National University) Myung Hwan Yun (Seoul National University)
저널정보
대한인간공학회 대한인간공학회 학술대회논문집 2020 대한인간공학회 춘계학술대회
발행연도
2020.6
수록면
81 - 84 (4page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Objective: This study aims to investigate TV viewers’ user experience (UX) of a conversational agent (CA) that assisted interactions while watching TV. Background: TV is evolving into an interactive product as technology advances, but the TV interface has not changed much. This can limit the UX of interactive TV viewers. Therefore, it is necessary to identify how the use of voice-interactive interface affects the TV users in order to have a better interactive TV experience. Method: To comparatively analyze the UX with the CA interface and the traditional remote control unit (RCU) interface, physiological measurements (skin conductance; SC) for objective data as well as self-report questionnaires were evaluated. Results: Physiological measurement results showed that SC differed between CA and RCU interactions. Most SC data were high at the beginning of the CA interaction but decreased over time. In RCU sessions, SC maintained a constant value or increased. Consequently, CA had a greater effect on the overall attractiveness while having more emotional appeal. Conclusion: Subjective results showed that CA provided a more positive TV experience regarding emotional aspects. Application: Physiological measurement can provide a more detailed and rich interpretation of the emotional changes and cognitive efforts during human-TV interaction, leading to better understanding of the UX meditated by interactive agent.

목차

ABSTRACT
1. Introduction
2. Method
3. Results
4. Conclusion
References

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0