When algorithms meet emotions: Understanding consumer satisfaction in AI companion applications DOI

Nikee Silayach,

Rajeev Kumar Ray, Navneet Kumar Singh

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2025, Номер 85, С. 104298 - 104298

Опубликована: Март 31, 2025

Язык: Английский

Are users willing to embrace ChatGPT? Exploring the factors on the acceptance of chatbots from the perspective of AIDUA framework DOI
Xiaoyue Ma,

Yudi Huo

Technology in Society, Год журнала: 2023, Номер 75, С. 102362 - 102362

Опубликована: Сен. 14, 2023

Язык: Английский

Процитировано

140

Consumer–machine relationships in the age of artificial intelligence: Systematic literature review and research directions DOI
Iryna Pentina, Tianling Xie, Tyler Hancock

и другие.

Psychology and Marketing, Год журнала: 2023, Номер 40(8), С. 1593 - 1614

Опубликована: Июнь 2, 2023

Abstract Recent advancements in artificial intelligence (AI) and the emergence of AI‐based social applications market have propelled research on possibility consumers developing relationships with AI. Motivated by diversity approaches inconsistent findings this emerging stream, systematic literature review analyzes 37 peer‐reviewed empirical studies focusing human–AI published between 2018 2023. We identify three major theoretical domains (social psychology, communication media studies, human–machine interactions) as foundations for conceptual development, detail theories used reviewed papers. Given radically new nature AI innovation, we recommend a novel approach that would synergistically utilize cross‐disciplinary literature. Analysis methodology indicates quantitative dominate while qualitative, longitudinal, mixed‐method are infrequently. Examination models variables suggests need to reconceptualize factors processes relationship, such agency, autonomy, authenticity, reciprocity, empathy, better correspond context. Based our analysis, propose an integrative framework offer directions future incorporate develop comprehensive theory human ‐ relationships, explore nomological networks its key constructs, implement methodological variety triangulation.

Язык: Английский

Процитировано

55

Talking to a bot or a wall? How chatbots vs. human agents affect anticipated communication quality DOI
Qi Zhou, Bin Li, Lei Han

и другие.

Computers in Human Behavior, Год журнала: 2023, Номер 143, С. 107674 - 107674

Опубликована: Янв. 28, 2023

Язык: Английский

Процитировано

37

Can ChatGPT improve communication in hospitals? DOI Creative Commons
David Santandreu Calonge, Pablo Medina Aguerrebere, Patrik T. Hultberg

и другие.

El Profesional de la Informacion, Год журнала: 2023, Номер unknown

Опубликована: Март 24, 2023

Hospitals’ use of communication is a crucial aspect patient care, yet medical material often hard to read and understand for patients. Issues related lack standardization, jargon, reliance on outdated technology, poor coordination between health personnel, shortage healthcare workers lead miscommunication, delays, errors in care. By improving communication, hospitals can improve care outcomes, perhaps lower costs. This opinion piece compares current methods with the ChatGPT technology explore whether efficiency accuracy settings and, hence, While natural language processing (NLP) tools such as other artificial-intelligence-generated content (AIGC) have tremendous potential be very useful healthcare, they should not solely used substitute humans therefore caution.

Язык: Английский

Процитировано

27

The AI empathy effect: a mechanism of emotional contagion DOI
Weifang Liu, Shan Zhang, Tingting Zhang

и другие.

Journal of Hospitality Marketing & Management, Год журнала: 2024, Номер 33(6), С. 703 - 734

Опубликована: Фев. 22, 2024

While advances in technology have led to the widespread use of artificial intelligence (AI) frontline services, AI empathic effect is often overlooked. Based on emotional contagion theory, this research explores impacts mimicry and concern service success failure via experimental designs, respectively. Results indicate that with high resulted higher arousal pleasure, increasing tourists' continuous usage intention. Arousal pleasure played significant mediating roles success. However, while significantly affected intention through did not a similar effect. The joint effects extrinsic intrinsic anthropomorphism (emotional mimicry) were successful context, but failure. These results important implications for development promotion enriches theoretical applications theory empathy.

Язык: Английский

Процитировано

13

A Review of Promises and Challenges of AI-Based Chatbots in Language Education through the Lens of Learner Emotions DOI Creative Commons
Yuehai Xiao,

Tianyu Zhang,

Jingyi He

и другие.

Heliyon, Год журнала: 2024, Номер unknown, С. e37238 - e37238

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

12

Can AI fully replace human designers? Matching effects between declared creator types and advertising appeals on tourists’ visit intentions DOI
Meng­meng Song, Hongyu Chen, Yuchen Wang

и другие.

Journal of Destination Marketing & Management, Год журнала: 2024, Номер 32, С. 100892 - 100892

Опубликована: Март 26, 2024

Язык: Английский

Процитировано

9

I Trust You, but Let Me Talk to AI: The Role of the Chat Agents, Empathy, and Health Issues in Misinformation Guidance DOI
EunHae Park

International Journal of Strategic Communication, Год журнала: 2025, Номер unknown, С. 1 - 30

Опубликована: Фев. 20, 2025

Язык: Английский

Процитировано

1

AI’s Humanoid Appearance Can Affect Human Perceptions of Its Emotional Capability: Evidence from Self-Reported Data in the U.S DOI
Quan‐Hoang Vuong, Viet‐Phuong La, Minh‐Hoang Nguyen

и другие.

International Journal of Human-Computer Interaction, Год журнала: 2023, Номер 40(17), С. 4906 - 4917

Опубликована: Июль 4, 2023

As artificial intelligence (AI) integration becomes more prominent in society, the infosphere increasingly complex. A better understanding of human-AI relationship is crucial during these rapid technological and social changes. Emotions are complex responses human mind – a highly advanced information processing system. Thus, examining how humans perceive AI's emotional capability may provide helpful insights. Human physiological properties such as humanoid appearance gender suggested to be potential influencing factors. Following approach, we employed Bayesian Mindsponge Framework (BMF) analytics on dataset 266 residents United States. Results show that interacting with an AI agent human-like physical features positively associated belief agent's experiencing pain pleasure. This effect stronger males than females. possible explanation for patterns reliance cognitive strategies used interpersonal interactions, including gender-specific properties. study also demonstrates effectiveness using compatible analytical method BMF studying humans' perceptions AI.

Язык: Английский

Процитировано

21

The role of chatbots’ human-like characteristics in online shopping DOI
Jindi Fu, Samar Mouakket, Yuan Sun

и другие.

Electronic Commerce Research and Applications, Год журнала: 2023, Номер 61, С. 101304 - 101304

Опубликована: Авг. 25, 2023

Язык: Английский

Процитировано

21