Buchumschlag

Comparing Human Expertise and Large Language Models Embeddings in Content Validity Assessment of Personality Tests

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Milano, Nicola, Ponticorvo, Michela, Marocco, Davide
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Human-Computer Interaction Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Using Large Language Models to Compare Explainable Models for Smart Home Human Activity Recognition
von: Fiori, Michele, et al.
Veröffentlicht: (2024)

The Use of Artificial Intelligence Tools in Assessing Content Validity: A Comparative Study with Human Experts
von: Gurdil, Hatice, et al.
Veröffentlicht: (2025)

Evaluating Machine Expertise: How Graduate Students Develop Frameworks for Assessing GenAI Content
von: Chen, Celia, et al.
Veröffentlicht: (2025)

Human Expertise in Algorithmic Prediction
von: Alur, Rohan, et al.
Veröffentlicht: (2024)

Human-AI Collaborative Game Testing with Vision Language Models
von: Zhang, Boran, et al.
Veröffentlicht: (2025)

AI as Equalizer or Amplifier? Task Complexity as the Moderating Factor for Human Expertise in Hybrid Intelligence Systems
von: An, Tao
Veröffentlicht: (2025)

Developing and Validating the Arabic Version of the Attitudes Toward Large Language Models Scale
von: Barajeeh, Basad, et al.
Veröffentlicht: (2025)

Metacognition and Uncertainty Communication in Humans and Large Language Models
von: Steyvers, Mark, et al.
Veröffentlicht: (2025)

Anthropomorphism and Trust in Human-Large Language Model interactions
von: Kadambi, Akila, et al.
Veröffentlicht: (2026)

Towards Democratization of Subspeciality Medical Expertise
von: O'Sullivan, Jack W., et al.
Veröffentlicht: (2024)

Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and Privacy
von: Bozkir, Efe, et al.
Veröffentlicht: (2024)

Homogenization Effects of Large Language Models on Human Creative Ideation
von: Anderson, Barrett R., et al.
Veröffentlicht: (2024)

Intersectional Sycophancy: How Perceived User Demographics Shape False Validation in Large Language Models
von: Maltbie, Benjamin, et al.
Veröffentlicht: (2026)

Reversing the Lens: Using Explainable AI to Understand Human Expertise
von: Rahman, Roussel, et al.
Veröffentlicht: (2025)

AI Outperforms Humans in Personalized Image Aesthetics Assessment via LLM-Based Interviews and Semantic Feature Extraction
von: Abe, Yoshia, et al.
Veröffentlicht: (2026)

Predicting Biased Human Decision-Making with Large Language Models in Conversational Settings
von: Pilli, Stephen, et al.
Veröffentlicht: (2026)

Speaking the Right Language: The Impact of Expertise Alignment in User-AI Interactions
von: Palta, Shramay, et al.
Veröffentlicht: (2025)

Lived Experience in Dialogue: Co-designing Personalization in Large Language Models to Support Youth Mental Well-being
von: Guan, Kathleen W., et al.
Veröffentlicht: (2025)

Human Aesthetic Preference-Based Large Text-to-Image Model Personalization: Kandinsky Generation as an Example
von: Zhou, Aven-Le, et al.
Veröffentlicht: (2024)

Modular AI-Powered Interviewer with Dynamic Question Generation and Expertise Profiling
von: Adeseye, Aisvarya, et al.
Veröffentlicht: (2025)

TalkToAgent: A Human-centric Explanation of Reinforcement Learning Agents with Large Language Models
von: Kim, Haechang, et al.
Veröffentlicht: (2025)

Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models
von: Pafla, Marvin, et al.
Veröffentlicht: (2024)

Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences
von: Shankar, Shreya, et al.
Veröffentlicht: (2024)

Comparing the Efficacy of GPT-4 and Chat-GPT in Mental Health Care: A Blind Assessment of Large Language Models for Psychological Support
von: Moell, Birger
Veröffentlicht: (2024)

Context-Aware Visual Prompting: Automating Geospatial Web Dashboards with Large Language Models and Agent Self-Validation for Decision Support
von: Xu, Haowen, et al.
Veröffentlicht: (2025)

Large Language Model Psychometrics: A Systematic Review of Evaluation, Validation, and Enhancement
von: Ye, Haoran, et al.
Veröffentlicht: (2025)

"Crash Test Dummies" for AI-Enabled Clinical Assessment: Validating Virtual Patient Scenarios with Virtual Learners
von: Gin, Brian, et al.
Veröffentlicht: (2026)

Quality Assessment in the Era of Large Models: A Survey
von: Zhang, Zicheng, et al.
Veröffentlicht: (2024)

PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits
von: Jiang, Hang, et al.
Veröffentlicht: (2023)

Personality testing of Large Language Models: Limited temporal stability, but highlighted prosociality
von: Bodroza, Bojana, et al.
Veröffentlicht: (2023)

Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation
von: Suh, Sangho, et al.
Veröffentlicht: (2023)

Leveraging Large Language Models (LLMs) to Support Collaborative Human-AI Online Risk Data Annotation
von: Park, Jinkyung, et al.
Veröffentlicht: (2024)

Cross-modality Force and Language Embeddings for Natural Human-Robot Communication
von: Tejwani, Ravi, et al.
Veröffentlicht: (2025)

Visualization Literacy of Multimodal Large Language Models: A Comparative Study
von: Li, Zhimin, et al.
Veröffentlicht: (2024)

Aligning Model Evaluations with Human Preferences: Mitigating Token Count Bias in Language Model Assessments
von: Daynauth, Roland, et al.
Veröffentlicht: (2024)

Elder-Sim: A Psychometrically Validated Platform for Personality-Stable Elderly Digital Twins
von: Wang, Jiaqing, et al.
Veröffentlicht: (2026)

Assessing the Creativity of Large Language Models: Testing, Limits, and New Frontiers
von: Schapiro, Samuel, et al.
Veröffentlicht: (2026)

Human-AI Teaming Using Large Language Models: Boosting Brain-Computer Interfacing (BCI) and Brain Research
von: Kapitonova, Maryna, et al.
Veröffentlicht: (2024)

USER-VLM 360: Personalized Vision Language Models with User-aware Tuning for Social Human-Robot Interactions
von: Rahimi, Hamed, et al.
Veröffentlicht: (2025)

Human Digital Twins in Personalized Healthcare: An Overview and Future Perspectives
von: Mokhtari, Melvin
Veröffentlicht: (2025)