Using large language models to generate silicon samples in consumer and marketing research: Challenges, opportunities, and guidelines

Psychology and Marketing, Journal Year: 2024, Volume and Issue: 41(6), P. 1254 - 1270

Published: Feb. 10, 2024

Abstract Should consumer researchers employ silicon samples and artificially generated data based on large language models, such as GPT, to mimic human respondents' behavior? In this paper, we review recent research that has compared result patterns from samples, finding results vary considerably across different domains. Based these results, present specific recommendations for sample use in marketing research. We argue hold particular promise upstream parts of the process qualitative pretesting pilot studies, where collect external information safeguard follow‐up design choices. also provide a critical assessment using main studies. Finally, discuss ethical issues future avenues.

Language: Английский

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Integrating the adapted UTAUT model with moral obligation, trust and perceived risk to predict ChatGPT adoption for assessment support: A survey with students

Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: 6, P. 100246 - 100246

Published: May 27, 2024

• Trust is the strongest predictor of ChatGPT adoption in assessments Moral obligation barrier acceptance for assessment support Perceived risk a significant demotivator but not mediator between trust and use intention Recommending clear guidelines on responsible university workshops about ethical AI

Language: Английский

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A Systematic Review and Comprehensive Analysis of Pioneering AI Chatbot Models from Education to Healthcare: ChatGPT, Bard, Llama, Ernie and Grok

Future Internet, Journal Year: 2024, Volume and Issue: 16(7), P. 219 - 219

Published: June 22, 2024

AI chatbots have emerged as powerful tools for providing text-based solutions to a wide range of everyday challenges. Selecting the appropriate chatbot is crucial optimising outcomes. This paper presents comprehensive comparative analysis five leading chatbots: ChatGPT, Bard, Llama, Ernie, and Grok. The based on systematic review 28 scholarly articles. indicates that developed by OpenAI, excels in educational, medical, humanities, writing applications but struggles with real-time data accuracy lacks open-source flexibility. powered Google, leverages internet problem solving shows potential competitive quiz environments, albeit performance variability inconsistencies responses. an model from Meta, demonstrates significant promise medical contexts, natural language processing, personalised educational tools, yet it requires substantial computational resources. Baidu, specialises Chinese tasks, thus localised advantages may not extend globally due restrictive policies. Grok, Xai still its early stages, engaging, interactions, humour, mathematical reasoning capabilities, full remains be evaluated through further development empirical testing. findings underscore context-dependent utility each absence singularly superior chatbot. Future research should expand include wider fields, explore practical applications, address concerns related privacy, ethics, security, responsible deployment these technologies.

Language: Английский

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A Structured Narrative Prompt for Prompting Narratives from Large Language Models: Sentiment Assessment of ChatGPT-Generated Narratives and Real Tweets

Future Internet, Journal Year: 2023, Volume and Issue: 15(12), P. 375 - 375

Published: Nov. 23, 2023

Large language models (LLMs) excel in providing natural responses that sound authoritative, reflect knowledge of the context area, and can present from a range varied perspectives. Agent-based simulations consist simulated agents interact within environment to explore societal, social, ethical, among other, problems. Simulated generate large volumes data discerning useful relevant content is an onerous task. LLMs help communicating agents’ perspectives on key life events by narratives. However, these narratives should be factual, transparent, reproducible. Therefore, we structured narrative prompt for sending queries LLMs, experiment with generation process using OpenAI’s ChatGPT, assess statistically significant differences across 11 Positive Negative Affect Schedule (PANAS) sentiment levels between generated real tweets chi-squared tests Fisher’s exact tests. The structure effectively yields desired components ChatGPT. In four out forty-four categories, ChatGPT which have scores were not discernibly different, terms statistical significance (alpha level α=0.05), expressed tweets. Three outcomes are provided: (1) list benefits challenges generation; (2) requesting LLM chatbot based information; (3) assessment prevalence compared This indicates promise utilization helping connect agent’s experiences people.

Language: Английский

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Evaluating ChatGPT’s Consciousness and Its Capability to Pass the Turing Test: A Comprehensive Analysis

Journal of Computer and Communications, Journal Year: 2024, Volume and Issue: 12(03), P. 219 - 237

Published: Jan. 1, 2024

This study explores the capabilities of ChatGPT, specifically in relation to consciousness and its performance Turing Test. The article begins by examining diverse perspectives among both cognitive AI researchers regarding ChatGPT's ability pass It introduces a hierarchical categorization test versions, suggesting that ChatGPT approaches success test, albeit primarily with na?ve users. Expert users, conversely, can easily identify limitations. paper presents various theories consciousness, particular focus on Integrated Information Theory proposed Tononi. theory serves as framework for assessing level consciousness. Through an evaluation based five axioms theorems IIT, finds surpasses previous systems certain aspects; however, significantly falls short achieving particularly when compared biological sentient beings. concludes emphasizing importance recognizing similar generative models highly advanced intelligent tools, yet distinctly lacking attributes found living organisms.

Language: Английский

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Teamwork Conflict Management Training and Conflict Resolution Practice via Large Language Models

Future Internet, Journal Year: 2024, Volume and Issue: 16(5), P. 177 - 177

Published: May 19, 2024

This study implements a conflict management training approach guided by principles of transformative learning and practice simulated via an LLM. Transformative is more effective when learners are engaged mentally behaviorally in experiences. Correspondingly, the involved three-step procedure consisting phase, phase enabled LLM, reflection phase. Fifty-six students enrolled systems development course were exposed to so they would be better prepared address any potential conflicts within their teams as approached semester-long software project. The investigated following: (1) How did affect students’ level confidence addressing conflict? (2) Which styles use practice? (3) strategies employ engaging with findings indicate that: 65% significantly increased managing demonstrating collaborative, compromising, accommodative approaches; 26% slightly implementing collaborative 9% not increase confidence, already confident applying approaches. three most frequently used for identifying root cause problem, actively listening, being specific objective explaining concerns.

Language: Английский

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Simple techniques to bypass GenAI text detectors: implications for inclusive education

International Journal of Educational Technology in Higher Education, Journal Year: 2024, Volume and Issue: 21(1)

Published: Sept. 8, 2024

Abstract This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these assess their reliability in identifying AI-generated educational settings, where they are increasingly used address academic integrity concerns. Results show significant reductions detector accuracy (17.4%) faced simple techniques manipulate generated content. The varying performances GenAI tools and indicate cannot currently be recommended for determining violations due limitations potential false accusation which undermines inclusive fair assessment practices. However, may support learning non-punitively. aims guide educators institutions critical implementation higher education, highlighting importance exploring alternatives maintain inclusivity face emerging technologies.

Language: Английский

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Systematic analysis of generative AI tools integration in academic research and peer review

Online Journal of Communication and Media Technologies, Journal Year: 2025, Volume and Issue: 15(1), P. e202502 - e202502

Published: Jan. 6, 2025

While sparking a big debate among academics, generative artificial intelligence (GAI) tools are becoming integral to academic research, holding the potential transform traditional research and peer review methods. This systematic literature investigates emergent role of GAI in workflow scholarly publications by analyzing 44 articles. The process identifying most relevant was done following preferred reporting items for reviews meta-analyses method. findings provide thorough understanding how is currently being utilized various aspects process, including concerns, limitations, proactive measures better employ these effectively. Our suggests need more develop appropriate policies guidelines, enhance researchers’ literacy through targeted training, ensure ethical use boost productivity quality.

Language: Английский

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Progettare e valutare con il supporto dell’intelligenza artificiale: elementi per un approccio critico all’uso dei chatbot

Journal of Educational Cultural and Psychological Studies (ECPS Journal), Journal Year: 2025, Volume and Issue: 30

Published: Jan. 15, 2025

DESIGNING AND ASSESSING WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE: ELEMENTS FOR A CRITICAL APPROACH TO USE CHATBOTS Abstract This paper explores the critical integration of artificial intelligence (AI), specifically focusing on using chatbots in training design and learning assessment, aiming to uncover both potential challenges educational contexts. Through two exploratory empirical studies – one centered use ChatGPT other its application school assessments analysis examines perceptions teachers students. The findings reveal that chatbots, such as ChatGPT, can significantly reduce workload future designers, improve access resources, provide timely feedback. However, concerns emerge regarding technological dependency superficial learning, with ethical pedagogical implications warrant a examination effectiveness AI tools. concludes by proposing strategies for AI’s thoughtful education, promoting balance between technology reflective, practice.

Language: Английский

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Retroalimentación formativa en la escritura de tesis en posgrado: Comparación entre ChatGPT y revisores pares en un círculo de escritura

Revista Virtual Universidad Católica del Norte, Journal Year: 2025, Volume and Issue: 74, P. 123 - 160

Published: Jan. 23, 2025

La evaluación formativa en escritura académica es reconocida por su potencial tanto para la mejora de los textos como el desarrollo escritores. Este artículo evalúa efectos retroalimentación proporcionada ChatGPT y revisores pares a introducciones tesis un círculo posgrado. Se llevó cabo una investigación enfoque mixto, con diseño concurrente alcance exploratorio. recolección información incluyó 12 borradores texto, comentarios partir rúbricas, las versiones ajustadas percepciones participantes sobre calidad, pertinencia e impacto retroalimentación. Los resultados mostraron congruencia entre calificaciones proporcionadas ambas fuentes aceptación mayoría sugerencias. identificó que se centró estructura del texto aspectos estilísticos, mientras enfocaron contenidos viabilidad propuestas investigación. hallazgos evidencian educativo personalización aprendizaje al proporcionar apoyos eficientes oportunos, lo sitúan estrategia complementaria humana.

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