The Influence of Generative AI on Interpersonal Communication Dynamics DOI
Sumeyya Akdilek, Ibrahim Akdilek, Narissra M. Punyanunt-Carter

et al.

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 167 - 190

Published: Feb. 12, 2024

In this comprehensive exploration, the interaction between generative AI and interpersonal communication is examined. The initial sections delve into characteristics limitations of AI-generated responses, highlighting challenges context non-verbal cues interpretation. potential for AI-driven skill development presented. discussion progresses to address changing dynamics in classroom, contrasting traditional training with AI-augmented methods. efficacy group discussions role-plays assessed, a central focus on whether augments or diminishes human connections. final explore reshaping our understanding effective necessity educators uphold element while leveraging AI's skill-enhancing capabilities. This review offers insights evolving landscape communication, shedding light its opportunities, challenges, path forward.

Language: Английский

Is AI-based digital marketing ethical? Assessing a new data privacy paradox DOI Creative Commons
José Ramón Saura, Vatroslav Škare, Đurđana Ozretić Došen

et al.

Journal of Innovation & Knowledge, Journal Year: 2024, Volume and Issue: 9(4), P. 100597 - 100597

Published: Oct. 1, 2024

Language: Английский

Citations

12

What influences consumer AI chatbot use intention? An application of the extended technology acceptance model DOI
Manzhi Liu, Yaxin Yang,

Yue Ren

et al.

Journal of Hospitality and Tourism Technology, Journal Year: 2024, Volume and Issue: 15(4), P. 667 - 689

Published: July 20, 2024

Purpose As information technology advances, the prevalence of AI chatbot products is on rise. Despite optimistic market projections, consumer skepticism towards these agents persists. This paper aims to expand scope acceptance model by integrating aspect appearance. It examines influence different attributes chatbot, such as usefulness, ease use and appearance, individually in combination, consumers' intentions share purchase. Design/methodology/approach Using an exploratory study Web Texts, a 2 (usefulness: high vs low) × (ease use: mixed design (anthropomorphism appearance: humanoid cartoon) for between-subjects designs price level (high within-subjects designs. The hypotheses were tested Octoparse SPSS 22.0. Findings research highlights significant role anthropomorphic appearance shaping attitudes chatbots, thus influencing their make purchases. Grouped regression analysis reveals that lower prices exert more pronounced positive inclinations both purchase, compared higher prices. Moreover, novelty-seeking behavior moderates effect perceived usefulness or attitude. Specifically, heightened tendencies mitigate impact low use, leading sustained chatbots among consumers. Originality/value innovatively incorporates product into Technology Acceptance Model (TAM), considering functional offers valuable insights marketing strategies, extends TAM application holds practical implications enhancing enterprise planning.

Language: Английский

Citations

10

Anthropomorphism in artificial intelligence: a game-changer for brand marketing DOI Creative Commons
Sofia Gomes, Jo�ão M. Lopes, Elisabete Nogueira

et al.

Future Business Journal, Journal Year: 2025, Volume and Issue: 11(1)

Published: Jan. 15, 2025

Abstract The expansion of brands adopting artificial intelligence services with human characteristics, such as chatbots, has revolutionized digital marketing strategies, transforming how companies reach and engage customers. This technological innovation is reshaping interactions between consumers, offering a more personalized efficient experience. study explores the influence chatbot anthropomorphism on customer engagement purchasing decision-making that use this service. Data from questionnaire 1319 participants was analyzed using partial least squares method. Chatbot positive when relationship mediated by engagement. In turn, involvement also decision-making. results emphasize for greater chatbot's decision-making, must first be engaged chatbot. research illuminates new path in domain AI-enabled brand interactions, showing distinct chatbots satisfaction, trust loyalty, thus revolutionizing traditional paradigms consumer-brand processes. By exploring intricate dynamics anthropomorphized decisions, breaks ground, unprecedented insight into transformative potential human-like shaping consumer behavior relationships.

Language: Английский

Citations

1

Examine the factors influencing the behavioral intention to use social commerce adoption and the role of AI in SC adoption DOI Creative Commons

Shahzad Sadiq,

Kaiwei Jia,

Ihsan Aman

et al.

European Research on Management and Business Economics, Journal Year: 2025, Volume and Issue: 31(1), P. 100268 - 100268

Published: Jan. 1, 2025

Language: Английский

Citations

1

A meta-analysis of the effect of chatbot anthropomorphism on the customer journey DOI

Cheng Yanxia,

Zhu Shijia,

Xiao Yuyang

et al.

Marketing Intelligence & Planning, Journal Year: 2023, Volume and Issue: 42(1), P. 1 - 22

Published: Nov. 13, 2023

Purpose Chatbots are increasingly engaged in service marketing. Some academics and managers think using anthropomorphism chatbots will improve positive attitudes behaviors the customer journey, but at a high degree of anthropomorphism, consumers may experience negative emotions such as fear disgust due to feeling that robots resemble humans too much, which is known uncanny valley effect. Therefore, authors aim explore whether chatbot promote or limit development journey moderating factors antecedent affecting consumers' perceptions anthropomorphism. Design/methodology/approach The collected 72,782 unique data points from 42 articles 82 samples meta-analysis. Based on stimuli-organism-response (SOR) model, impact anthropomorphic consumer was discussed. Findings authors’ findings show positively impacts not their attitudes. Further moderator analysis reveals depends result, gender sample source. significantly influenced by social presence cues, emotional message cues mixed cues. Originality/value This research contributes literature offers guidance for how enhance facilitate sustainability.

Language: Английский

Citations

21

Different dimensions of anthropomorphic design cues: How visual appearance and conversational style influence users’ information disclosure tendency towards chatbots DOI
Jiahao Chen, Mingming Li, Jaap Ham

et al.

International Journal of Human-Computer Studies, Journal Year: 2024, Volume and Issue: 190, P. 103320 - 103320

Published: June 15, 2024

Language: Английский

Citations

8

Generative AI, Why, How, and Outcomes: A User Adoption Study DOI Open Access
Le Van Huy, T. Hien Nguyen, Tan Vo‐Thanh

et al.

AIS Transactions on Human-Computer Interaction, Journal Year: 2024, Volume and Issue: 16(1), P. 1 - 27

Published: March 31, 2024

Drawing on the extended unified theory of acceptance and use technology (UTAUT2) task-technology fit (TTF) theory, we developed an integrated research model to explore factors affecting ChatGPT its subsequent effects whether users continue using recommend it others. We also examined main activities as well moderating role curiosity in relationships between various influencing use. conducted a quantitative study with data that collected from 671 Vietnam. found that, first, most UTAUT2 TTF dimensions affected Interestingly, contrary our expectations, effort expectancy, social influence, trust had no effect Second, directly influenced intention word mouth (WOM). Third, significant WOM. Finally, acted moderator only three paths hedonic motivation, facilitating conditions, performance expectancy With this study, contribute unique combines (including both curiosity) knowledge about users' behavioral process adoption by examining comprehensive process, namely, actual usage– continuance use–recommending. Practical implications for providers, policymakers, business marketers are discussed.

Language: Английский

Citations

8

The role of recommendation sources and attribute framing in online product recommendations DOI
Yikai Yang, Jiehui Zheng, Yining Yu

et al.

Journal of Business Research, Journal Year: 2024, Volume and Issue: 174, P. 114498 - 114498

Published: Jan. 14, 2024

Language: Английский

Citations

7

A literature review of user privacy concerns in conversational chatbots: A social informatics approach: An Annual Review of Information Science and Technology (ARIST) paper DOI Creative Commons

Ece Gumusel

Journal of the Association for Information Science and Technology, Journal Year: 2024, Volume and Issue: unknown

Published: May 9, 2024

Abstract Since the introduction of OpenAI's ChatGPT‐3 in late 2022, conversational chatbots have gained significant popularity. These are designed to offer a user‐friendly interface for individuals engage with technology using natural language their daily interactions. However, these interactions raise user privacy concerns due data shared and potential misuse information exchanges. Furthermore, there no overarching laws regulations governing such interfaces United States. Thus, is need investigate concerns. To understand existing literature, this paper presents literature review analysis 38 papers out 894 retrieved that focus on arising from text‐based through lens social informatics. The indicates primary concern has consistently been addressed self‐disclosure. This contributes broader understanding regarding further exploration domain. As continue evolve, acts as foundation future research endeavors informs regulatory frameworks safeguard an increasingly digitized world.

Language: Английский

Citations

6

The effect of motivated consumer innovativeness on the intention to use chatbots in the travel and tourism sector DOI
Suchita Jha, Shiromani Gupta, Rachna Mahajan

et al.

Asia Pacific Journal of Tourism Research, Journal Year: 2023, Volume and Issue: 28(7), P. 729 - 744

Published: July 3, 2023

ABSTRACTThis study explores the dimensions of motivated consumer innovativeness (functional, social, hedonic, and cognitive) in context travel tourism industry examines how they influence consumers' attitude, trust intention to use chatbot services. The results show that all positively impact while only functional cognitive affect building, leading usage intentions. These findings provide insights into what motivates consumers traditionally comfortable with using human assistance develop behavioral attitude chatbots make online tour travel-related queries.KEYWORDS: Motivated innovativenesschatbotsfunctionalityhedonismcognitiontravel Disclosure statementNo potential conflict interest was reported by author(s).

Language: Английский

Citations

14