Copertina

Measuring Mental Health Variables in Computational Research: Toward Validated, Dimensional, and Transdiagnostic Approaches

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Shani, Chen, Stade, Elizabeth C.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Human-Computer Interaction Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Like a Therapist, But Not: Reddit Narratives of AI in Mental Health Contexts
di: Aghakhani, Elham, et al.
Pubblicazione: (2026)

PsyChat: A Client-Centric Dialogue System for Mental Health Support
di: Qiu, Huachuan, et al.
Pubblicazione: (2023)

MindGuard: Towards Accessible and Sitgma-free Mental Health First Aid via Edge LLM
di: Ji, Sijie, et al.
Pubblicazione: (2024)

Towards Valid Student Simulation with Large Language Models
di: Yuan, Zhihao, et al.
Pubblicazione: (2026)

Aligning Human-AI-Interaction Trust for Mental Health Support: Survey and Position for Multi-Stakeholders
di: Sun, Xin, et al.
Pubblicazione: (2026)

Disentangling Prompt Element Level Risk Factors for Hallucinations and Omissions in Mental Health LLM Responses
di: Ni, Congning, et al.
Pubblicazione: (2026)

Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Study
di: Adhikary, Prottay Kumar, et al.
Pubblicazione: (2024)

Generate-Then-Validate: A Novel Question Generation Approach Using Small Language Models
di: Wei, Yumou, et al.
Pubblicazione: (2025)

Facilitating Self-Guided Mental Health Interventions Through Human-Language Model Interaction: A Case Study of Cognitive Restructuring
di: Sharma, Ashish, et al.
Pubblicazione: (2023)

Incorporating Different Verbal Cues to Improve Text-Based Computer-Delivered Health Messaging
di: Cox, Samuel Rhys
Pubblicazione: (2024)

What is Stigma Attributed to? A Theory-Grounded, Expert-Annotated Interview Corpus for Demystifying Mental-Health Stigma
di: Meng, Han, et al.
Pubblicazione: (2025)

Towards Predictive Communication with Brain-Computer Interfaces integrating Large Language Models
di: Caria, Andrea
Pubblicazione: (2024)

When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation
di: Badawi, Abeer, et al.
Pubblicazione: (2025)

Exploring the Ethical Concerns in User Reviews of Mental Health Apps using Topic Modeling and Sentiment Analysis
di: Rahman, Mohammad Masudur, et al.
Pubblicazione: (2026)

Towards Better Health Conversations: The Benefits of Context-seeking
di: Sayres, Rory, et al.
Pubblicazione: (2025)

PAIR-SAFE: A Paired-Agent Approach for Runtime Auditing and Refining AI-Mediated Mental Health Support
di: Kim, Jiwon, et al.
Pubblicazione: (2026)

The Emotional Spectrum of LLMs: Leveraging Empathy and Emotion-Based Markers for Mental Health Support
di: De Grandi, Alessandro, et al.
Pubblicazione: (2024)

Reading Users' Minds from What They Say: An Investigation into LLM-based Empathic Mental Inference
di: Zhu, Qihao, et al.
Pubblicazione: (2024)

TherapyProbe: Generating Design Knowledge for Relational Safety in Mental Health Chatbots Through Adversarial Simulation
di: Chandra, Joydeep, et al.
Pubblicazione: (2026)

MHSafeEval: Role-Aware Interaction-Level Evaluation of Mental Health Safety in Large Language Models
di: Lee, Suhyun, et al.
Pubblicazione: (2026)

DICE: A Framework for Dimensional and Contextual Evaluation of Language Models
di: Shrivastava, Aryan, et al.
Pubblicazione: (2025)

AEQ-Bench: Measuring Empathy of Omni-Modal Large Models
di: Luo, Xuan, et al.
Pubblicazione: (2026)

UI-Evol: Automatic Knowledge Evolving for Computer Use Agents
di: Zhang, Ziyun, et al.
Pubblicazione: (2025)

SouLLMate: An Application Enhancing Diverse Mental Health Support with Adaptive LLMs, Prompt Engineering, and RAG Techniques
di: Guo, Qiming, et al.
Pubblicazione: (2024)

Exploring Personalized Health Support through Data-Driven, Theory-Guided LLMs: A Case Study in Sleep Health
di: Wang, Xingbo, et al.
Pubblicazione: (2025)

Measuring the Mental Health of Content Reviewers, a Systematic Review
di: Gonzalez, Alexandra, et al.
Pubblicazione: (2025)

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

From "Help" to Helpful: A Hierarchical Assessment of LLMs in Mental e-Health Applications
di: Steigerwald, Philipp, et al.
Pubblicazione: (2026)

I've Seen Enough: Measuring the Toll of Content Moderation on Mental Health
di: Gauthier, Gabrielle M, et al.
Pubblicazione: (2025)

GestureGPT: Toward Zero-Shot Free-Form Hand Gesture Understanding with Large Language Model Agents
di: Zeng, Xin, et al.
Pubblicazione: (2023)

A Computational Framework for Behavioral Assessment of LLM Therapists
di: Chiu, Yu Ying, et al.
Pubblicazione: (2024)

ChartInsighter: An Approach for Mitigating Hallucination in Time-series Chart Summary Generation with A Benchmark Dataset
di: Wang, Fen, et al.
Pubblicazione: (2025)

Learning Next Action Predictors from Human-Computer Interaction
di: Shaikh, Omar, et al.
Pubblicazione: (2026)

Granuscore: A Reference-Free Measure of Granularity for Text Analysis and Question Answering
di: Ellinger, Lukas, et al.
Pubblicazione: (2026)

Towards a Design Guideline for RPA Evaluation: A Survey of Large Language Model-Based Role-Playing Agents
di: Chen, Chaoran, et al.
Pubblicazione: (2025)

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs
di: Wu, Tongshuang, et al.
Pubblicazione: (2023)

Evaluating Task-oriented Dialogue Systems: A Systematic Review of Measures, Constructs and their Operationalisations
di: Braggaar, Anouck, et al.
Pubblicazione: (2023)

Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance
di: Zhou, Kaitlyn, et al.
Pubblicazione: (2024)

Multimodal Programming in Computer Science with Interactive Assistance Powered by Large Language Model
di: Gupta, Rajan Das, et al.
Pubblicazione: (2025)

Using Contextually Aligned Online Reviews to Measure LLMs' Performance Disparities Across Language Varieties
di: Tang, Zixin, et al.
Pubblicazione: (2025)