Journal archive

The Korean Society for Journalism & Communication Studies - Vol. 67 , No. 3

[ Article ]
Korean Journal of Journalism & Communication Studies - Vol. 67, No. 3, pp. 206-238
Abbreviation: KSJCS
ISSN: 2586-7369 (Online)
Print publication date 30 Jun 2023
Received 15 Aug 2022 Accepted 05 Jun 2023 Revised 07 Jun 2023
https://doi.org/10.20879/kjjcs.2023.67.3.006

AI 가상 캐릭터에 대한 지각된 특성이 AI 앵커 진행 뉴스 지속시청 의도에 미치는 영향에 관한 탐색적 연구
고정민*** ; 이도연****
***성균관대학교 미디어커뮤니케이션학과 석박사통합과정 (minko12@skku.edu)
****성균관대학교 미디어커뮤니케이션학과 석박사통합과정 (lehdus2756@gmail.com)

An Exploratory Study on the Influence of Perceived Characteristics of AI Virtual Characters on the Intention to Continue Watching News Hosted by AI Anchor
Jeongmin Ko*** ; Doyeon Lee****
***Graduate Student, Department of Media and Communication, Sunkyunkwan University (minko12@skku.edu)
****Graduate Student, Department of Media and Communication, Sunkyunkwan University, corresponding author (lehdus2756@gmail.com)
Funding Information ▼

초록

본 연구는 뉴스 분야에서 활용되고 있는 가상 캐릭터인 AI 앵커와 관련하여 AI 앵커가 진행하는 뉴스를 지속 시청하고자 하는 의도를 살펴봄으로써 향후 AI 앵커의 발전 방향성을 제시하고자 했다. 구체적으로 AI 앵커에 대한 외형적 및 음성적 지각된 특성이 AI 앵커에 대한 선호도와 신뢰도를 통해 AI 앵커가 진행하는 뉴스를 지속적으로 시청하고자 하는 의도로 이어지는지 살펴보고자 했다. 영향 관계를 검증하기 위해 웹 설문지를 통한 온라인 조사를 수행했고, 총 800부의 데이터를 분석에 활용했다. 분석 결과, AI 앵커에 대한 외형적, 음성적 지각된 특성은 선호도에 긍정적인 영향을 미치는 것으로 드러났다. 반면 AI 앵커에 대한 외형적, 음성적 지각된 특성이 AI 앵커에 대한 신뢰도에는 유의미한 영향을 미치지 못하는 것으로 드러났다. AI 앵커의 선호도는 AI 앵커가 진행하는 뉴스를 지속적으로 시청하고자 하는 의도에 긍정적인 영향을 미치는 것으로 드러났으며, AI 앵커 신뢰도는 뉴스에 대한 신뢰로 전이가 발생하며, 최종적으로 AI 앵커가 진행하는 뉴스를 지속적으로 시청하고자 하는 의도에 긍정적인 영향을 미치는 것으로 검증됐다. 본 연구는 뉴스에서의 가상 캐릭터 활용에 대한 통합적이고 실질적인 시사점을 제공하고자 했다.

Abstract

This study aimed to explore the intention of viewers to continue watching news presented by AI anchors. AI anchors are virtual characters that are used in the news industry. The study focused on whether the perceived characteristics of appearance and voice factors of AI anchors influenced viewers’ intention to continue watching news presented by them. This influence was thought to be mediated by viewers’ preference for AI anchors and their perceived credibility. The study drew upon the concept of the uncanny valley effect to extract perceived characteristics of appearance and voice factors of AI anchors. Additionally, the study included news credibility as a mediating variable between the credibility of AI anchors and viewers’ intention to continue watching news presented by them. An online survey was conducted using a web questionnaire to investigate the relationships between these variables. A total of 800 responses were collected and used for the final analysis. The results showed that the perceived characteristics of appearance and voice factors of AI anchors had a positive effect on viewers’ preference for them. However, these characteristics did not have a significant effect on the credibility of AI anchors. Viewers’ preference for AI anchors was found to have a positive effect on their intention to continue watching news presented by them. The credibility of AI anchors also had a positive effect on news credibility. Furthermore, news credibility was found to have a positive effect on viewers’ intention to continue watching news presented by AI anchors. This study has both academic and practical implications for the use of virtual characters in the news industry. Academically, this study is one of the first in the field of virtual character user research and provides direction and suggestions for future studies. It also expands the potential use of variables from the uncanny valley effect by measuring the perceived characteristics of virtual characters using these variables. Practically, the results of this study can be taken into consideration when applying virtual character technology in the news industry. The results also suggest that technology development has surpassed the uncanny valley, allowing for the creation of virtual characters that closely resemble humans.


KeywordsAI Anchor, Perceived Humanness, Perceived Attractiveness, Preference, Credibility
키워드: AI 앵커, 지각된 인간다움, 지각된 매력성, 선호도, 신뢰도

Acknowledgments

This paper was supported by Korean Society for Journalism and Communication Studies & Market Link(본 연구는 ‘한국언론학회·(주)마켓링크, 학회원과 학문후속세대 연구지원 사업’의 지원을 받아 수행됨).

A preliminary version of this paper was presented at 2021 KSJCS conference(본 연구는 2021년 10월 11일 한국언론학회 가을철 정기학술대회에서 발표됨).


References
1. Abroud, A., Choong, Y. V., Muthaiyah, S., & Fie, D. Y. G. (2015). Adopting e-finance: Decomposing the technology acceptance model for investors. Service Business, 9(1), 161-182.
2. Ahn, J., Jung, Y., & Choi, M. (2018). Effects of the audience’s perception of card news on reuse intention. Journal of Outdoor Advertising Research, 15(4), 22-36.
3. Algesheimer, R., Dholakia, U. M., & Herrmann, A. (2005). The social influence of brand community: Evidence from European Car Clubs. Journal of Marketing, 69, 19-34.
4. Andrews, J. C., & Shimp, T. A. (1990). Effects of involvement, argument strength, and source characteristics on central and peripheral processing of advertising. Psychology & Marketing, 7(3), 195-214.
5. Arona, A., & Lewandowskia, G. (2001). Psychology of interpersonal attraction. International Encyclopedia of the Social & Behavioral Sciences, 7860-7862.
6. Atkins, P. M., Marshall, B. S., & Javalgi, R. G. (1996). Happy employees lead to loyal patients. Marketing Health Services, 16(4), 14.-23.
7. Barsalou, L. W. (1999). Perceptual symbol systems. Behavioral and Brain Sciences, 22(4), 577-660.
8. Berry, D. C., Butler, L. T., & de Rosis, F. (2005). Evaluating a realistic agent in an advice-giving task. International Journal of Human-Computer Studies, 63(3), 304-327.
9. Bracken, C. C. (2006). Perceived source credibility of local television news: The impact of television form and presence. Journal of Broadcasting & Electronic Media, 50(4), 723-741.
10. Chae, S., Lee, K., & Lee, K. (2009). Empirical analysis of the effect of 3D avatars on consumer's online purchasing behavior in virtual world: Emphasis on trust transference. Knowledge Management Research, 10(3), 153-173.
11. Chang, J., Ha, J., & Kim, S. (2014). Credibility of the Internet as a source of political information: A survey analysis the 2012 Korean presidential election campaign period. Korean Journal of Journalism & Communication Studies, 58(4), 96-128.
12. Chen, X., Huang, Q., Davison, R. M., & Hua, Z. (2015). What drives trust transfer? The moderating roles of seller-specific and general institutional mechanisms. International Journal of Electronic Commerce, 20(2), 261-289.
13. Cheng, Y., Sharma, S., Sharma, P., & Kulathunga, K. M. M. C. B. (2020). Role of personalization in continuous use intention of mobile news apps in India: Extending the UTAUT2 model. Information, 11(1), 33.
14. Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.
15. Chin, W. W. (2010). How to write up and report PLS analyses. In V. E. Vinzi, W. W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of partial least squares (pp. 655-690). Berlin; Heidelberg: Springer.
16. Cho, H. (2019). Influence of new generation V-Tuber on contents. Design Research, 4(2), 173-182.
17. Choi, S., & Kang, Y. (2016). Consumers' intentions for the usage of mobile payments: Extending UTAUT with innovativeness, trust and network effect. Korean Telecommunications Policy Review, 23(4), 29-52.
18. Choi, W. (2014). The effect of dimension of trust's target on customer citizenship behavior perceived by hotel customer: Focusing on the trust transfer. Journal of Tourism Management Research, 18(1), 307-324.
19. Chu, W., & Roh, M. J. (2012). The effect of consumers’ value motives on the perception of blog reviews credibility: The moderation effect of tie strength. Asia Marketing Journal, 13(4), 159-189.
20. Destephe, M., Brandao, M., Kishi, T., Zecca, M., Hashimoto K., & Takanishi, A. (2015). Walking in the uncanny valley: Importance of the attractiveness on the acceptance of a robot as a working partner. Frontiers in Psychology, 6, 1-11.
21. Dipboye, R. L., Arvey, R. D., & Terpstra, D. E. (1977). Sex and physical attractiveness of raters and applicants as determinants of resume evaluations. Journal of Applied Psychology, 62(3), 288-294.
22. Grimes, A. (2008). Towards an integrated model of low attention advertising effects: A perceptual‐conceptual framework. European Journal of Marketing, 42, 69-86.
23. Ha, D., & Ahn, S. (2018). Effects of anchors’ reputation and brand equity evaluation of TV news program on the continuous watching intention: Focusing on KBS, JTBC, YTN TV News. Journal of the Korea Contents Association, 18(9), 91-101.
24. Haake, M., & Gulz, A. (2009). A look at the roles of look & roles in embodied pedagogical agents – A user preference perspective. International Journal of Artificial Intelligence in Education, 19(1), 39-71.
25. Han, H. (2018). The factor of uncanny-valley on the faces of robots. Journal Korea Society of Visual Design Forum, 61, 171-182.
26. Heiselberg, L., Blom, J. N., & van Dalen, A. (2022). Automated news reading in the neural age: Audience reception and perceived credibility of a news broadcast read by a neural voice. Journalism Studies, 23(8), 896-914.
27. Ho, C. C., & MacDorman, K. F. (2017). Measuring the uncanny valley effect. International Journal of Social Robotics, 9(1), 129-139.
28. Hovland, C. I., & Weiss, W. (1951). The influence of source credibility on communication effectiveness. Public Opinion Quarterly, 15(4), 635-650.
29. Jang, S. (2019). A study on preference as affected scale of reality reflection of AR user character. Journal of Communication Design, 67, 238-247.
30. Jeon, E., & Kang, H. (2022). The effect of perceived congruence with the political ideology of media outlets on news message credibility: An experimental study focusing on biased media perception and TV channel brand image. Broadcasting & Communacation, 23(1), 5-39.
31. Johnson, T. J., & Kaye, B. K. (2000). Using is believing: The influence of reliance on the credibility of online political information among politically interested Internet users. Journalism & Mass Communication Quarterly, 77(4), 865-879.
32. Jueng, W. (2018). Research about phonetic characteristics of anchors: Through male anchors who host TV news program. Information Society & Media, 19(1), 143-169.
33. Kang, J. (2018). The effects of e-WOM information on trust, purchase intention, and e-WOM intention: Focusing on hotel room purchasing consumers. International Journal of Tourism and Hospitality Research, 32(2), 187-199.
34. Ki, S., Yun, H., & Ryu, J. (2021). Effects of emotional expressions of virtual characters on self-efficacy and performance in the immersive game. Journal of Korean Association for Educational Information and Media, 27(2), 559-584.
35. Kim, E. (2010). The concept analysis of psychological characteristics of the perceived interpersonal attractiveness of middle-aged men and women. Doctoral dissertation. Ewha Womans University, Seoul.
36. Kim, K., & Song, K. (2012). A study on the preference and the using intention of consumers for an integrated telecommunication service. Journal of Corporation and Innovation, 5(1), 1-17.
37. Kim, M. (2020). Viewing intention of TV programs based on experience using Instagram post types such as text-oriented news article type, video clip type and image-oriented pictorial type. The Society of Modern Photography & Video, 23(3), 79-96.
38. Kim, S. (2021). Analysis of parallel multi-parameter effects of trust, flow, and usefulness in the relationship between personal innovativeness of mobile tourism application users and continuous use intention. International Journal of Tourism and Hospitality Research, 35(7), 101-116.
39. Kim, S., & Kim, M. (2019). A study on nonverbal communication of anchorwomen depending on major issues of TV news - Centered on KBS, SBS, MBC. Journal of Communication Design, 66, 118-130.
40. Kim, T., Sung, Y., & Moon, J. H. (2020). Effects of brand anthropomorphism on consumer-brand relationships on social networking site fan pages: The mediating role of social presence. Telematics and Informatics, 51, 101406.
41. Kim, Y. (2009). A study on the influence of television audiences’ evaluation of the channel brand equity toward news credibility, preference, and viewing intention. Korean Journal of Broadcasting and Telecommunication Studies, 23(6), 87-125.
42. Kim, Y., Kwon, J., & Seo, S. (2016). The effects of hotel customers' interpersonal attractiveness on hotel employees' preference and attachment formation. Journal of Service Research, 14(1), 35-49.
43. Kurihara, K., Seiyama, N., Kumano, T., Fukaya, T., Saito, K., & Suzuki, S. (2021). “AI News Anchor” with deep learning-based speech synthesis. SMPTE Motion Imaging Journal, 130(3), 19-27.
44. Kwon, H. (2019). Comparative analysis of the East and West tourists on the relationship among perception of sensory heritage, tourism destination image, satisfaction and intention to revisit by using PLS-SEM: Focusing on the tourism destination in Vietnam. Journal of Tourism Management Research, 23(5), 981-1002.
45. Kwon, H. (2020). Analyzing of the structural relationship between novelty seeking, experiential marketing, preferences, and intention to visit by using PLS-SEM Method: Focused on Korean folk village. Tourism Research, 45(1), 19-39.
46. Lay, S., Brace, N., Pike, G., & Pollick, F. (2016). Circling around the uncanny valley: Design principles for research into the relation between human likeness and eeriness. i-Perception, 7(6), 1-11.
47. Lee, G., & Baik, Y. (2020). The influence of information quality and trust in SNS MATJIB on continuous usage intention. International Journal of Tourism and Hospitality Research, 34(11), 153-164.
48. Lee, J. (2017). A study on the effect of character story originality, character attractiveness and affinity on character product preference. Journal of the Korea Entertainment Industry Association, 11(6), 47-56.
49. Lee, J., & Woo, R. (2012). The effects of charismatic images of news anchors on audiences’ perceptions of news credibility, news watching intention and news program loyalty: Role of identification and source credibility. Korean Journal of Broadcasting and Telecommunication Studies, 26(4), 173-214.
50. Mehrabian, A., & Williams, M. (1969). Nonverbal concomitants of perceived and intended persuasiveness. Journal of Personality and Social Psychology, 13(1), 37-58.
51. Mori, M., MacDorman, K. F., & Kageki, N. (2012). The uncanny valley [from the field]. IEEE Robotics & Automation Magazine, 19(2), 98-100.
52. Oh, M., & Shim, J. (2009). A study of the TV news anchor style. Korean Journal of Broadcasting and Telecommunication Studies, 23(5), 132-172.
53. Park, S., & Lee, S. (2019). A study on the effect of intimacy between conversational agents and users on reliability. Journal Korea Society of Visual Design Forum, 64, 179-186.
54. Powell, T. E., Hameleers, M., & van der Meer, T. G. (2021). Selection in a snapshot? The contribution of visuals to the selection and avoidance of political news in information-rich media settings. The International Journal of Press/Politics, 26(1), 46-68.
55. Rheu, M., Shin, J. Y., Peng, W., & Huh-Yoo, J. (2021). Systematic review: Trust-building factors and implications for conversational agent design. International Journal of Human–Computer Interaction, 37(1), 81-96.
56. Ryu, J. (2012). The effect of image realism and learner's expertise on persona effect of pedagogical agent. Science of Emotion & Sensibility, 15(1), 47-56.
57. Ryu, J., & Yang, E. (2019). The effect of display methods of virtual character on persona effect, cognitive load, and attention in the augmented reality based learning environment. The Korean Journal of Educational Methodology Studies, 31(2), 385-404.
58. Seo, Y., & Park, J. (2020). An empirical study on the uncanny valley effect of the CG characters in horror movies. Journal of Digital Contents Society, 21(9), 1585-1597.
59. Seymour, M., Yuan, L. I., Dennis, A., & Riemer, K. (2021). Have we crossed the uncanny valley? Understanding affinity, trustworthiness, and preference for realistic digital humans in immersive environments. Journal of the Association for Information Systems, 22(3), 591-617.
60. Shin, D. (2022). The perception of humanness in conversational journalism: An algorithmic information-processing perspective. New Media & Society, 24(12), 2680-2704.
61. Shin, H., & Kweon, S. (2021). An evaluation of determinants to viewer acceptance of artificial intelligence-based news anchor. Journal of the Korea Contents Association, 21(4), 205-219.
62. So, H., & Kim, M. (2005). A study on the correlation between human personality and robot personality: with Emphasis on preference in different situations of home service robot. KSDS Conference Proceeding, 58-59.
63. Sohn, Y., & Jung, Y. (2022). The effects of virtual influencer(VI) anthropomorphism and gender on consumer’s likeability. Information Society & Media, 23(3), 27-54.
64. Stewart, K. J. (2003). Trust transfer on the world wide web. Organization Science, 14(1), 5-17.
65. Sülflow, M., Schäfer, S., & Winter, S. (2019). Selective attention in the news feed: An eye-tracking study on the perception and selection of political news posts on Facebook. New Media & Society, 21(1), 168-190.
66. Waytz, A., Heafner, J., & Epley, N. (2014). The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle. Journal of Experimental Social Psychology, 52, 113-117.
67. Xue, K., Li, Y., & Jin, H. (2022). What do you think of AI? Research on the influence of AI news anchor image on watching intention. Behavioral Sciences, 12(11), 465.
68. Yang, S. (2017). A study on the styles of TV news anchors: Focusing on terrestrial TV and TV channels with comprehensive programming. Korean Journal of Broadcasting and Telecommunication Studies, 31(4), 51-84.
69. Yela, C. (2004). Interpersonal attraction. Encyclopedia of Applied Psychology, 2, 379-385.
70. Yoo, J., & Jin, Y. (2013). The impact of TV anchors on news reliability according to the career of anchor and the news types: Comparing reporter with announcer, and hard news with soft news. Journal of Communication Science, 13(3), 298-330.
71. Yoon, C., & Choi, K. (2015). A tutorial on covariance-based structural equation modeling using R: Focused on lavaan Package. Journal of Digital Convergence, 13(10), 121-133.
72. Zhao, N., Zhou, M., Shi, Y., & Zhang, J. (2015). Face attractiveness in building trust: Evidence from measurement of implicit and explicit responses. Social Behavior and Personality: An International Journal, 43(5), 855-866.

References
1. 강정은 (2018). 온라인 구전(e-WOM) 정보 습득이 정보신뢰, 구매의도, 온라인 구전(e-WOM) 의도에 미치는 영향 연구. <관광연구저널>, 32권 2호, 187-199.
2. 권해윤 (2019). PLS-SEM을 활용한 감각유산 인식, 관광지 이미지, 만족도, 재방문 의도의 영향 관계에 관한 동서양 관광객의 비교분석: 베트남 관광지를 중심으로. <관광경영연구>, 23권 5호, 981-1002.
3. 권해윤 (2020). PLS-SEM 기법을 활용한 신기성 욕구, 체험 마케팅, 선호도 및 방문 의도의 구조 관계분석: 한국민속촌을 중심으로. <Tourism Research>, 45권 1호, 19-39.
4. 기수현·윤헌철·류지헌 (2021). 실감형 게임에서 가상캐릭터의 감정 표현이 자기효능감 및 과제수행시간에 미치는 영향. <교육정보미디어연구>, 27권 2호, 559-584.
5. 김경회·송기유 (2012). 소비자 및 기업요인이 통신결합상품 수용자 선호도 및 사용의도에 미치는 영향에 관한 연구. <기업과혁신연구>, 5권 1호, 1-17.
6. 김미경 (2020). 인스타그램 텍스트 기사형, 사진 화보형, 영상클립형 방송 게시물 형식에 따른 이용 경험과 지속시청의도. <현대사진영상학회 논문집>, 23권 3호, 79-96.
7. 김성태 (2021). 모바일 관광애플리케이션 이용자의 개인혁신성과 지속이용의도 간의 관계에서 신뢰, 몰입, 유용성의 병렬적 다중매개효과 분석. <관광연구저널>, 35권 7호, 101-116.
8. 김세현·김미현 (2019). TV 뉴스의 주요뉴스에 따른 여성앵커의 비언어적 커뮤니케이션에 관한 연구-KBS, SBS, MBC 를 중심으로. <커뮤니케이션 디자인학연구>, 66권, 118-130.
9. 김여라 (2009). 텔레비전 시청자의 채널 브랜드 자산 평가가 뉴스 신뢰도, 선호도 및 시청의도에 미치는 영향에 관한 연구. <한국방송학보>, 23권 6호, 87-125.
10. 김용민·권진희·서상호 (2016). 호텔 이용고객의 대인매력이 종사원의 호감도와 애착형성에 미치는 영향. <서비스산업연구>, 14권 1호, 35-49.
11. 김은숙 (2010). <지각된 중년기 남녀의 대인매력에 관한 심리적 특성 개념도분석>, 이화여자대학교 대학원 박사학위 논문.
12. 류지헌 (2012). 이미지의 사실성과 학습자의 전문성이 학습용 에이전트의 의인화 효과에 미치는 영향. <감성과학>, 15권 1호, 47-56.
13. 류지헌·양은별 (2019). 증강현실 학습자료에서 가상캐릭터의 제시방법이 학습자의 의인화 지각, 인지부하의 변화와 주의집중에 미치는 효과. <교육방법연구>, 31권 2호, 385-404.
14. 박선영·이상원 (2019). 대화형 에이전트와 사용자의 친밀감 형성이 신뢰에 미치는 영향에 대한 연구. <한국디자인포럼>, 64권, 179-186.
15. 서예은·박진완 (2020). 공포 영화 CG 캐릭터의 불쾌한 골짜기 효과에 대한 실증적 연구. <한국디지털콘텐츠학회 논문지>, 21권 9호, 1585-1597.
16. 소희선·김명석 (2005). 사람성격과 로봇성격의 상관성에 관한 연구: 홈 서비스 로봇의 기능에 따른 선호도 차이를 중심으로. <한국디자인학회 국제학술대회 논문집>, 58-59.
17. 손영준·정윤혁 (2022). 버추얼 인플루언서의 의인화 정도와 성별이 소비자의 호감도에 미치는 영향. <정보사회와 미디어>, 23권 3호, 27-54.
18. 신하얀·권상희 (2021). 인공지능 (AI) 기술 기반의 뉴스 앵커에 대한 수용 의도의 선행요인 연구. <한국콘텐츠학회논문지>, 21권 4호, 205-219.
19. 안지연·정연주·최명일 (2018). 소셜미디어 환경에서 카드뉴스의 정보콘텐츠에 대한 인식이 재이용의도에 미치는 영향. <OOH광고학연구>, 15권 4호, 22-36.
20. 양선희 (2017). TV 뉴스 앵커 스타일 연구: 지상파 및 종합편성채널 메인뉴스를 대상으로. <한국방송학보>, 31권 4호, 51-84.
21. 오미영·심재철 (2009). TV 뉴스 앵커 스타일에 대한 지상파 방송기자 연구. <한국방송학보>, 23권 5호, 132-172.
22. 유재웅·진용주 (2013). TV 앵커의 출신경력과 출연뉴스유형에 따른 시청자반응: 기자출신과 아나운서출신, 경성뉴스와 연성뉴스 비교. <언론과학연구>, 13권 3호, 298-330.
23. 윤철호·최광돈 (2015). R을 이용한 공분산 기반 구조방정식 모델링 튜토리얼: Lavaan 패키지를 중심으로. <디지털융복합연구>, 13권 10호, 121-133.
24. 이광옥·백유진 (2020). SNS 맛집 정보품질과 정보신뢰가 지속이용의도에 미치는 영향. <관광연구저널>, 34권 11호, 153-164.
25. 이정교·우린 (2012). 뉴스 앵커의 카리스마가 수용자의 뉴스 신뢰도, 뉴스 시청의도, 프로그램 충성도에 미치는 영향: 앵커의 동일시와 공신력을 중심으로. <한국방송학보>, 26권 4호, 173-214.
26. 이지훈 (2017). 캐릭터 스토리의 독창성과 캐릭터의 매력성 및 친근성이 캐릭터 제품 선호도에 미치는 영향에 관한 연구. <한국엔터테인먼트학회논문지>, 11권 6호, 47-56.
27. 장순규 (2019). AR 사용자 캐릭터의 표현에 있어 현실성 반영의 척도가 미치는 선호도 연구. <커뮤니케이션 디자인학연구>, 67권, 238-247.
28. 장정헌·하주용·김선호 (2014). 정치정보원으로서 인터넷미디어 신뢰도 연구: 18 대 대통령선거 기간 중 대학생들의 인식을 중심으로. <한국언론학보>, 58권 4호, 96-128.
29. 전은선·강형철 (2022). 채널과의 정파적 일치성이 뉴스 이용과 뉴스 메시지 신뢰에 미치는 영향: 편향 지각과 채널 브랜드 이미지 매개 효과를 중심으로 본 온라인 동영상 실험. <방송과 커뮤니케이션>, 23권 1호, 5-39.
30. 정운갑 (2018). 국내 뉴스 프로그램 진행자 (Anchor)의 음성학적 특징 연구: 남성 앵커 집단을 중심으로. <정보사회와 미디어>, 19권 1호, 143-169.
31. 조종학 (2019). 차세대 브이튜버가 콘텐츠에 미치는 영향. <한국디자인리서치>, 4권 2호, 173-182.
32. 채성욱·이건창·이근영 (2009). 가상세계에서 3 차원 아바타 판매원이 소비자 온라인 구매 행위에 미치는 영향에 관한 실증연구: 신뢰전이를 중심으로. <지식경영연구>, 10권 3호, 153-173.
33. 최수정·강연선 (2016). 모바일 간편결제에 대한 지속사용의도: 개인의 혁신성, 신뢰 및 네트워크 효과를 고려한 UTAUT 모형 시각에서의 접근. <정보통신정책연구>, 23권 4호, 29-52.
34. 최우성 (2014). 호텔고객이 지각하는 신뢰의 대상별 차원이 고객시민행동에 미치는 영향: 신뢰전이를 중심으로. <관광경영연구>, 18권 1호, 307-324.
35. 하동근·안서진 (2018). TV 뉴스 프로그램의 앵커 평판과 브랜드 자산 평가가 지속적 시청 의도에 미치는 영향. <한국콘텐츠학회논문지>, 18권 9호, 91-101
36. 한혜진 (2018). 로봇 얼굴에 대한 언캐니벨리 요인. <한국디자인포럼>, 61권, 171-182.