First Insights into the Coverage of Conversational Agents in LIS Sources DOI

Aylin Imeri

Proceedings of the Association for Information Science and Technology, Journal Year: 2024, Volume and Issue: 61(1), P. 947 - 949

Published: Oct. 1, 2024

ABSTRACT This poster addresses the research question of whether conversational agents (CAs) play a role within Library and Information Science (LIS) publication sources provides preliminary insights. At time research, Scimago Journal & Country Rank (SJR) database included 271 LIS sources. Twenty‐seven percent these related to topics on agents. In total, dataset 351 documents extracted from Scopus. With 59 publications, journal Education Technologies listed greatest number articles. A ranking by authors showed China ( N = 239), United States 222), India 87) as top three countries.

Language: Английский

Consumers' questions as nudges: Comparing the effect of linguistic cues on LLM chatbot and human responses DOI
Qian Wu, Han Zheng

Journal of Retailing and Consumer Services, Journal Year: 2025, Volume and Issue: 84, P. 104250 - 104250

Published: Feb. 4, 2025

Language: Английский

Citations

0
Evaluating the Potential Role of AI Chatbots in Designing Personalized Exercise Programs for Weight Management DOI
Hakan Saraç, İsmet Tarık Ulusoy, Janset Alpay

et al.

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 8

Published: Feb. 27, 2025

This study aimed to evaluate the effectiveness and potential use of artificial intelligence (AI) chatbots in developing personalized exercise programs for weight management. Exercise were developed by ChatGPT-4, ChatGPT-4o, Gemini-1.5 Pro models, a group human expert trainers hypothetical obese individual case. All assessed based on American College Sports Medicine (ACSM) National Academy (NASM) guidelines. The chatbot-generated consistent with ACSM NASM standards, indicating their low-resource settings. Nevertheless, considerable differences found between key parameters, including initial load target heart rate zone recommendations. While AI have enhance accessibility, expertise remains essential ensure program safety effectiveness. results this provide insights into role

Language: Английский

Citations

0
From Passive Watching to Active Learning: Empowering Proactive Participation in Digital Classrooms with AI Video Assistant DOI

Anna Bodonhelyi,

Enkeleda Thaqi, Süleyman Özdel

et al.

Published: April 24, 2025

Language: Английский

Citations

0
When empathy is enhanced by human–AI interaction: an investigation of anthropomorphism and responsiveness on customer experience with AI chatbots DOI
Thi Thu Ha Truong, Ja‐Shen Chen

Asia Pacific Journal of Marketing and Logistics, Journal Year: 2025, Volume and Issue: unknown

Published: May 13, 2025

Purpose Artificial intelligence chatbots are increasingly employed as substitutes for human service agents in customer service. This study investigates how two key chatbot features, anthropomorphism and responsiveness, enhance the experience by fostering social presence empathy, which turn influence continuance intention. The moderating roles of privacy concerns need interaction (NFHI) also examined. Design/methodology/approach Data were collected from 461 respondents through an online survey on Amazon Mechanical Turk platform, partial least squares structural equation modeling was used to analyze relationships. Findings Both responsiveness significantly empathy interactions. Social mediates relationship between features positively impacts Privacy negatively moderate intention, whereas NFHI moderates it. Practical implications Businesses should design with human-like behaviors responsive create more engaging empathetic Addressing catering users high can further boost continued use. Originality/value extends stimuli-organism-response framework theory interactions provides insights into psychological barriers user

Language: Английский

Citations

0
The AI Chatbot Always Flirts With Me, Should I Flirt Back: From the McDonaldization of Friendship to the Robotization of Love DOI Creative Commons
Bibo Lin

Social Media + Society, Journal Year: 2024, Volume and Issue: 10(4)

Published: Oct. 1, 2024

How is the use of artificial intelligence (AI) technologies, such as machine learning (ML) algorithms and Large Language Models (LLMs), in social chatbots transforming friendship love? This study investigates Replika, an app offering AI friends and/or lovers to users. Unlike most companion research grounded Human-Machine Interaction (HMI) interpersonal communication theories, this employs sociological concept McDonaldization interrogate broader cultural implications Replika. I argue that offers a systematic framework understand fast love provided by while accounting for its limits addressing personalization enabled emerging technologies. To bridge conceptual gap, propose term “Robotization Love,” pointing merging efficient, quantifiable, predictable, controllable algorithmically personalized love. The Robotization Love also underscores growing significance robotic elements shaping our affection sociality.

Language: Английский

Citations

3
Shadow Health-Related Data: Definition, Categorization, and User Perspectives DOI
Yamane El Zein, Kavous Salehzadeh Niksirat, Noé Zufferey

et al.

Published: Sept. 30, 2024

Health-related data (HRD) about individuals are increasingly generated and processed.The sources volume of such have grown larger over the past years, they include wearable devices, health-related mobile apps, electronic health records.HRD sensitive, important privacy implications, hence hold a special status under existing laws regulations.In this work, we focus on shadow HRD: these HRD and/or processed by using general-purpose digital tools outside professional healthcare information system.Some examples queries made search engines LLM-based chatbots, or medical appointments contact professionals synced to cloud.Such data, risks stemming from them, often overlooked when studying health.Using two group sessions (23 participants in total), identified categorized broad variety user behaviors that, including aforementioned examples, lead creation HRD.Then, informed categorization, designed questionnaire deployed it through an online survey (300 respondents) assess prevalence among general public, as well awareness (and concerns about) their HRD.Our findings show that most respondents adopt numerous diverse create HRD, very few resort mechanisms protect privacy.

Language: Английский

Citations

0
First Insights into the Coverage of Conversational Agents in LIS Sources DOI

Aylin Imeri

Proceedings of the Association for Information Science and Technology, Journal Year: 2024, Volume and Issue: 61(1), P. 947 - 949

Published: Oct. 1, 2024

ABSTRACT This poster addresses the research question of whether conversational agents (CAs) play a role within Library and Information Science (LIS) publication sources provides preliminary insights. At time research, Scimago Journal & Country Rank (SJR) database included 271 LIS sources. Twenty‐seven percent these related to topics on agents. In total, dataset 351 documents extracted from Scopus. With 59 publications, journal Education Technologies listed greatest number articles. A ranking by authors showed China ( N = 239), United States 222), India 87) as top three countries.

Language: Английский

Citations

0