Development of a semantic differential scale for AI agents and its application in music recommendation services
AI 에이전트에 관한 의미 분별 척도 개발 및 음악 추천 서비스에 적용
- 주제(키워드) Artificial intelligence , AI agent , AI music recommendation services , semantic differential scales
- 발행기관 고려대학교 대학원
- 지도교수 정윤혁
- 발행년도 2022
- 학위수여년월 2022. 8
- 학위명 석사
- 학과 및 전공 대학원 미디어학과
- 세부전공 미디어학 전공
- 세부분야 해당없음
- 원문페이지 79 p
- 실제URI http://www.dcollection.net/handler/korea/000000268486
- UCI I804:11009-000000268486
- DOI 10.23186/korea.000000268486.11009.0001290
- 본문언어 영어
초록/요약
This study aimed to develop a comprehensive measurement scale that analyzes a human's attitude toward Artificial Intelligence (AI) agents by employing a semantic differential scale. Despite increasing interactions with AI agents, previous studies have focused on measuring objective functionality without considering subjective users' experiences with AI agents. Semantic differential scales were employed as the measurement model to evaluate the multi-dimensional concepts of human attitudes toward AI agents. The online survey for essay one was conducted by a professional online survey agency from October 15 to 19, 2021. Fifty-five bipolar adjective pairs were presented to 561 respondents, and a total of 517 samples were used for the final analysis after excluding undependable respondents. The result show that respondents' attitudes toward AI agents consist of six factors: Intelligence, Activity, Expressiveness, Usability, Mood, and Naturalness. Essay two has attempted to elaborate the developed semantic differential scales of essay one by applying them to AI music recommendation services. The online survey of essay two was conducted from May 2 to 9, 2022. The result demonstrates the image of AI music recommendation services in terms of Performance, Mood, and Serendipity. This study contributes to research on users of AI agents by providing a comprehensive tool to investigate their attitudes toward AI agents. It sheds light on the identification and construction of evaluation criteria for AI agents.
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Table of Contents
ESSAY ONE: DEVELOPMENT OF SEMANTIC DIFFERENTIAL SCALES FOR AI AGENTS
I. Introduction 1
II. Literature review 4
2.1. AI agents 4
2.1.1. Definition of the AI agent 4
2.1.2. User adoption of AI agents 6
2.2. Semantic differential scales 10
2.2.1. Overview of semantic differential scales 10
2.2.2. Semantic differential scales for AI agents 11
III. Methodology 13
3.1. Data collection and analysis 13
3.2. Sample and descriptive statistics 14
3.3. Model design 15
IV. Results 17
V. Discussion 23
ESSAY TWO: ANALYSIS OF USERS’ ATTITUDE TOWARD MUSIC RECOMMENDATION SERVICES
I. Introduction 28
II. Literature review 31
2.1. Overview of AI recommendation services 31
2.2.1. AI recommendation system 31
2.2.2. Attitude toward AI recommendation services 32
2.2. Characteristics of AI music recommendation services 34
III. Methodology 36
3.1. Survey implementation 36
3.2. Sample and descriptive statistics 37
IV. Results 38
V. Discussion 42
IMPLICATIONS, LIMITATIONS, AND FUTURE RESEARCH
I. Implications 45
II. Limitations and future research 48
Appendix 50
References 52
국문 초록 72
