[논문]인공지능 에이전트 대화형 인터랙션에서의 감탄사 효과: 자율주행 맥락에서

이수지; 서지윤; 최준호

doi:10.17703/jcct.2022.8.1.551

인공지능 에이전트 대화형 인터랙션에서의 감탄사 효과: 자율주행 맥락에서
The Effect of Interjection in Conversational Interaction with the AI Agent: In the Context of Self-Driving Car 원문보기

Journal of the convergence on culture technology : JCCT = 문화기술의 융합, v.8 no.1, 2022년, pp.551 - 563

이수지 (연세대학교 정보대학원 UX트랙) , 서지윤 (연세대학교 정보대학원 UX트랙) , 최준호 (연세대학교 정보대학원 UX트랙)

초록
AI-Helper

이 연구의 목적은 자율 주행 차량의 체화된 에이전트가 '감탄사'를 사용하여 감정 표현을 드러낸 대화 상호작용을 할 경우 사용자 경험에 어떠한 효과를 나타내는지 확인하는 것이다. 감탄사 포함 유무와 대화 유형(과제 중심적 대화 vs. 관계 중심적 대화)의 조건에 따라 실험을 설계하였다. 온라인 실험으로 각 조건별로 4가지 대화 시나리오영상을 시청한 후, 해당 에이전트에 대한 친밀도, 호감도, 신뢰도, 사회적 실재감, 지각된 의인화, 향후 이용 의도를 측정하였다. 분석 결과, 에이전트가 감탄사를 사용할 경우 두 대화 유형 모두에서 사회적 실재감의 주 효과가 나타났다. 에이전트가 감탄사를 사용하지 않을 경우 과제 중심적 대화 유형에서 신뢰와 향후 이용 의도가 높았다. 에이전트가 감탄사를 사용하여 감정적 표현을 더하는 것은 사회적 실재감을 높이는 효과는 발견했지만, 다른 사용자 경험 요인에 대한 영향은 나타나지 않았다.

Abstract ▼ AI-Helper

This study aims to identify the effect on the user experiences when the embodied agent in a self-driving car interacts with emotional expressions by using 'interjection'. An experimental study was designed with two conditions: the inclusion of injections in the agent's conversation feedbacks (with interjections vs. without interjections) and the type of conversation (task-oriented conversation vs. social-oriented conversation). The online experiment was conducted with the four video clips of conversation scenario treatments and measured intimacy, likability, trust, social presence, perceived anthropomorphism, and future intention to use. The result showed that when the agent used interjection, the main effect on social presence was found in both conversation types. When the agent did not use interjection in the task-oriented conversation, trust and future intention to use were higher than when the agent talked with emotional expressions. In the context of the conversation with the AI agent in a self-driving car, we found only the effect of adding emotional expression by using interjection on the enhancing social presence, but no effect on the other user experience factors.

주제어

표/그림 (11)

그림 그림 1. 체화된 에이전트 3D 아바타 "샐리" 처치물 Figure 1. Embodied agent 3D Avatar "Sally" treatment
그림 그림 2. 에이전트 발화시 영상 Figure 2. The screen when the agent is speaking
그림 그림 3. 사용자 발화시 영상 Figure 3. The screen when the user is speaking
그림 그림 4. 실험 영상 처치물 QR코드 Figure 4. Experiment treatments QR code
표 표 1. 대화 스크립트: 관계 중심적 대화 Table 1. Conversation script : Social-oriented Conversation
표 표 2. 대화 스크립트: 과제 중심적 대화 Table 2. Conversation script : Task-oriented Conversation
표 표 3. 측정변인과 구성문항 Table 3. Measurement variables and questionnaire
그림 그림 5. 신뢰: 대화 유형과 감탄사 사용의 상호작용 효과 Figure 5. Interaction effect of conversation type and interjection on Trust
표 표 4. 각 조건별 변인 평균 (표준편차) Table 4. The average of the variables for each condition (standard deviation)
그림 그림 6. 사회적 실재감: 대화유형과 감탄사 사용의 상호작용 효과 Figure 6. Interaction effect of conversation type and interjection on Social Presence
표 표 5. 이원 반복 측정 분석 결과 Table 5. Two-Way Repeated Measures ANOVA Results

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