Results 71 to 80 of about 10,560 (257)
Abstract- The rapid advancement of conversational artificial intelligence has shifted focus from massive, API-dependent Large Language Models (LLMs) to efficient, locally deployable Small Language Models (SLMs). This research presents the development of a Multilingual AI Chatbot utilizing the Microsoft Phi-3:mini model for text generation and the ...
Gokul A. Rathod +4 more
openaire +1 more source
Measuring the Burden of Choice: Development and Validation of a Choice Overload Scale
ABSTRACT Excessive choice imposes substantial cognitive demands on consumers, impairs decision‐making, and generates negative consumer responses—a phenomenon widely known as the choice overload effect. Despite its conceptual prominence in consumer research and its enduring relevance in today's consumer markets, existing approaches to measuring choice ...
Jennifer Musial
wiley +1 more source
From Confusion to Clarity: A Multi‐Stage Process Framework for Understanding Consumer Confusion
ABSTRACT This paper reconceptualizes consumer confusion as a multi‐stage temporal process rather than a static outcome, addressing theoretical fragmentation in existing antecedent‐consequence models. By integrating cognitive appraisal, contextual amplification, and adaptive coping within a unified framework, we explain how confusion unfolds rather than
Fatih Celik, Erdogan Koc
wiley +1 more source
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
Recent advances in artificial intelligence have introduced generative AI chatbots as a mediating tool for vocabulary learning. While self-regulated vocabulary learning strategies help to promote learner autonomy, maintaining motivation and reducing ...
Mahmoud Omar Jalambo +2 more
doaj +1 more source
Attitudes, perceptions and AI self-efficacy in K-12 education
Access to AI-driven chatbots is triggering schools to transform. Easy access and questions of cheating are balanced against potential upsides of individual support, time savings, and the risk of falling behind.
Nina Bergdahl, Jeanette Sjöberg
doaj +1 more source
Digital Transformation of Medicines Regulation in Africa—Perspectives from a Stakeholder Convening
Regulatory authorities worldwide are developing strategies to integrate artificial intelligence (AI) into the lifecycle of health products, technologies, and medicines. While regulators share goals of improving efficiency, strengthening decision‐making, and protecting public health, their approaches differ according to institutional structures ...
Christelna Reyneke +12 more
wiley +1 more source
Comparing and assessing four AI chatbots' competence in economics.
Artificial Intelligence (AI) chatbots have emerged as powerful tools in modern academic endeavors, presenting both opportunities and challenges in the learning landscape. They can provide content information and analysis across most academic disciplines,
Patrik T Hultberg +3 more
doaj +1 more source
ABSTRACT Despite increasing interest in leveraging AI to improve CSR communication, there is limited understanding of consumers' reactions to chatbots in CSR communication. Building upon the HAII‐TIME model, this study proposes a theoretical model from the users' psychological perspective to explain facilitative pathways through which anthropomorphic ...
Yangzhi (Nicole) Jiang +2 more
wiley +1 more source
PURPOSE: The purpose of the study was to evaluate the knowledge level of the Chat Generative Pretrained Transformer (ChatGPT), Bard, and Bing artificial intelligence (AI) chatbots regarding ocular inflammation, uveal diseases, and treatment modalities ...
Eyupcan Sensoy, Mehmet Citirik
doaj +1 more source

