Abstract
Aracely Mera-Navarrete, Solange Revelo, Jefferson Beltrán-Morales, William Villegas-Ch
Abstract
Authors
Institutions
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Trust in AI: progress, challenges, and future directions
10.1057/s41599-024-04044-8 · 2024
Large language models and the perils of their hallucinations
10.1186/s13054-023-04393-x · 2023
Large language models for thematic summarization in qualitative health care research: comparative analysis of model and human performance
10.2196/64447 · 2025
A survey on evaluation of large language models
10.1145/3641289 · 2024
Durably reducing conspiracy beliefs through dialogues with AI
10.1126/science.adq1814 · 2024
Cognitive forcing for better decision-making: reducing overreliance on AI systems through partial explanations
10.1145/3710946 · 2025
ChatGPT in education: global reactions to AI innovations
10.1038/s41598-023-42227-6 · 2023
A survey on LLM-as-a-judge
10.1016/j.xinn.2025.101253 · 2026
The ethics of ChatGPT in medicine and healthcare: a systematic review on large language models (LLMs)
10.1038/s41746-024-01157-x · 2024
Large language models for thematic analysis in healthcare research: a blinded mixed-methods comparison with human analysts
Provenance
crossref
Confidence 100%
ror
Confidence 99%
ror
Confidence 99%
openalex
Confidence 95%
doaj
Confidence 92%
datacite
Confidence 0%
10.1371/journal.pdig.0001189 · 2026
Human-AI interaction research agenda: a user-centered perspective
10.1016/j.dim.2024.100078 · 2024
“Forever and always, my love”: emotions in human-AI romantic relationship building and breakup with generative AI chatbot Replika
10.1177/20563051251408917 · 2026
What do people say about Replika, an AI chatbot, on social media? investigating diverse perspectives on the implications of Replika through a topic modeling analysis
10.1080/03623319.2024.2421610 · 2025
Trust and reliance on AI: an experimental study on the extent and costs of overreliance on AI
10.1016/j.chb.2024.108352 · 2024
The potential of generative AI for personalized persuasion at scale
10.1038/s41598-024-53755-0 · 2024
Users do not trust recommendations from a large language model more than AI-sourced snippets
10.3389/fcomp.2024.1456098 · 2024
Evaluation of large language models within GenAI in qualitative research
10.1038/s41598-025-18969-w · 2025
Consumer-machine relationships in the age of artificial intelligence: systematic literature review and research directions
10.1002/mar.21853 · 2023
What large language models know and what people think they know
10.1038/s42256-024-00976-7 · 2025
Human-AI interaction
10.1016/j.dim.2023.100048 · 2023
We need to understand “when” not “if” generative AI can enhance personalized persuasion
10.1073/pnas.2418005121 · 2024
When combinations of humans and AI are useful: a systematic review and meta-analysis
10.1038/s41562-024-02024-1 · 2024
Explanations can reduce overreliance on AI systems during decision-making
10.1145/3579605 · 2023
Larger and more instructable language models become less reliable
10.1038/s41586-024-07930-y · 2024
Larger and more instructable language models become less reliable
10.1038/s41586-024-07930-y · doi-reference
Explanations can reduce overreliance on AI systems during decision-making
10.1145/3579605 · doi-reference
When combinations of humans and AI are useful: a systematic review and meta-analysis
10.1038/s41562-024-02024-1 · doi-reference
We need to understand “when” not “if” generative AI can enhance personalized persuasion
10.1073/pnas.2418005121 · doi-reference
Human-AI interaction
10.1016/j.dim.2023.100048 · doi-reference
What large language models know and what people think they know
10.1038/s42256-024-00976-7 · doi-reference
Consumer-machine relationships in the age of artificial intelligence: systematic literature review and research directions
10.1002/mar.21853 · doi-reference
Evaluation of large language models within GenAI in qualitative research
10.1038/s41598-025-18969-w · doi-reference
Users do not trust recommendations from a large language model more than AI-sourced snippets
10.3389/fcomp.2024.1456098 · doi-reference
The potential of generative AI for personalized persuasion at scale
10.1038/s41598-024-53755-0 · doi-reference
Trust and reliance on AI: an experimental study on the extent and costs of overreliance on AI
10.1016/j.chb.2024.108352 · doi-reference
What do people say about Replika, an AI chatbot, on social media? investigating diverse perspectives on the implications of Replika through a topic modeling analysis
10.1080/03623319.2024.2421610 · doi-reference
“Forever and always, my love”: emotions in human-AI romantic relationship building and breakup with generative AI chatbot Replika
10.1177/20563051251408917 · doi-reference
Human-AI interaction research agenda: a user-centered perspective
10.1016/j.dim.2024.100078 · doi-reference
Large language models for thematic analysis in healthcare research: a blinded mixed-methods comparison with human analysts
10.1371/journal.pdig.0001189 · doi-reference
The ethics of ChatGPT in medicine and healthcare: a systematic review on large language models (LLMs)
10.1038/s41746-024-01157-x · doi-reference
A survey on LLM-as-a-judge
10.1016/j.xinn.2025.101253 · doi-reference
ChatGPT in education: global reactions to AI innovations
10.1038/s41598-023-42227-6 · doi-reference
Cognitive forcing for better decision-making: reducing overreliance on AI systems through partial explanations
10.1145/3710946 · doi-reference
Durably reducing conspiracy beliefs through dialogues with AI
10.1126/science.adq1814 · doi-reference
A survey on evaluation of large language models
10.1145/3641289 · doi-reference
Large language models for thematic summarization in qualitative health care research: comparative analysis of model and human performance
10.2196/64447 · doi-reference
Large language models and the perils of their hallucinations
10.1186/s13054-023-04393-x · doi-reference
Trust in AI: progress, challenges, and future directions
10.1057/s41599-024-04044-8 · doi-reference