Results 101 to 110 of about 40,094 (280)

Chatbots integrated in the metaverse: a conceptual model based on interaction ritual chain theory [PDF]

open access: yesPeerJ Computer Science
Chatbots are increasingly prevalent as conversational agents in the metaverse, enabled by commercial potential and artificial intelligence (AI) advancements that facilitate natural human-computer interaction (HCI).
Yan Yan, Mengjuan Fan
doaj   +2 more sources

Consumer Adoption of Internet of Things

open access: yesJournal of Consumer Behaviour, Volume 24, Issue 2, Page 673-693, March 2025.
ABSTRACT The Internet of Things (IoT), a pivotal technology in enhancing user connectivity, faces a paradox: its widespread potential yet limited consumer adoption. This study addresses this dichotomy by synthesizing a large‐scale meta‐analytic structural equation modeling (MASEM) and hierarchical linear meta‐analysis (HiLMA) of 2736 effect sizes from ...
Wagner Junior Ladeira   +6 more
wiley   +1 more source

Talk to Me Like a Human: How AI Chatbot Message Tone, Recommendation Type, and Personalization Drive Consumers' Continuance Intention

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT This study investigates how artificial intelligence (AI) chatbot message tone, fashion product recommendation type, and personalization level interact to shape consumers' continuance intention in online fashion shopping. Building on Construal Level Theory and the Stereotype Content Model, we treat warmth and competence cues as psychological ...
Jung Mee Kim, Seeun Kim
wiley   +1 more source

Natureza morfológica dos chatbots [PDF]

open access: yes, 2018
Esta dissertação de mestrado examina a natureza morfológica dos Chatbots e dedica-se a estudar com detalhe os fatores que influenciam a sua aceitação.
Magalhães, Luís Filipe Gonçalves Ribeiro Araújo de
core   +1 more source

Parents’ information needs and perceptions of chatbots regarding self medicating their children

open access: yesScientific Reports
This qualitative study aimed to better understand parents’ information needs and perceptions of chatbots for self-medicating their children and developing chatbots for self-medication. A qualitative study was employed.
Xueyi Wei   +3 more
doaj   +1 more source

Perception in the Loop: Understanding AI Chatbot Efficiency Through the Lens of Role, Support, and Technology Use in Higher Education

open access: yesStudent Success
The adoption of artificial intelligence (AI) chatbots in higher education promises improved student support and administrative efficiency. Our objective is to offer insights to institutions in effectively adopting AI chatbots, tailored to the needs of ...
Xiao Li, Jae Man Park, Jordan Mitchell
doaj   +1 more source

AI Chatbots Versus Human Agents for Customer Service: A Social Belonging Perspective

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT Artificial intelligence (AI) has rapidly transformed customer service, leading to the widespread adoption of AI‐driven chatbots. Despite these advances, consumers consistently prefer human agents over AI chatbots, as documented in both academic research and industry reports. This research proposes a Social Belonging Perspective to explain this
Linwan Wu, Chi Zhang, Kai Tian
wiley   +1 more source

Evaluation of the large language models Chatbot’s responses to frequently asked queries on refractive errors

open access: yesHealth Informatics Journal
Purpose To assess the accuracy, comprehensiveness, and reliability of Large Language Model chatbots in answering frequently asked questions about refractive errors.
Sare Safi PhD   +6 more
doaj   +1 more source

Mitigating Chatbot Service Failures: The Roles of Anthropomorphism, Acknowledgment, and Apology

open access: yesJournal of Consumer Behaviour, EarlyView.
ABSTRACT This study examines how chatbot anthropomorphism shapes consumer responses to service failure by distinguishing between process failure and outcome failure and by testing alternative recovery responses. Across three pretests (N = 30, 120 and 240) and two scenario‐based experiments (Study 1: N = 346; Study 2: N = 778), consumers evaluated ...
Juyon Lee, Wujin Chu, Rajat Roy
wiley   +1 more source

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