Buchumschlag

Uncanny or Not? Perceptions of AI-Generated Faces in Autism

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	Waters, Gabriella
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Human-Computer Interaction
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Investigating the Uncanny Valley Phenomenon Through the Temporal Dynamics of Neural Responses to Virtual Characters
von: Gorlini, Chiara, et al.
Veröffentlicht: (2023)

Content and Quality Analysis of Parent-Facing Applications for Feeding Children with Autism Spectrum Disorder
von: Kuzagbe, Christopher Cofie, et al.
Veröffentlicht: (2025)

Modeling Face Emotion Perception from Naturalistic Face Viewing: Insights from Fixational Events and Gaze Strategies
von: Seikavandi, Meisam J., et al.
Veröffentlicht: (2025)

Exploring Use and Perceptions of Generative AI Art Tools by Blind Artists
von: Raman, Gayatri, et al.
Veröffentlicht: (2024)

AI-Generated Rubric Interfaces: K-12 Teachers' Perceptions and Practices
von: Riahi, Bahare, et al.
Veröffentlicht: (2026)

Designing AI-Enabled Games to Support Social-Emotional Learning for Children with Autism Spectrum Disorders
von: Lyu, Yue, et al.
Veröffentlicht: (2024)

Barriers that Programming Instructors Face While Performing Emergency Pedagogical Design to Shape Student-AI Interactions with Generative AI Tools
von: Lau, Sam, et al.
Veröffentlicht: (2025)

Perception of Emotions in Human and Robot Faces: Is the Eye Region Enough?
von: Mishra, Chinmaya, et al.
Veröffentlicht: (2024)

AI vs. Human Paintings? Deciphering Public Interactions and Perceptions towards AI-Generated Paintings on TikTok
von: Wang, Jiajun, et al.
Veröffentlicht: (2024)

See-Through Face Display: Enabling Gaze Communication for Any Face$\unicode{x2013}$Human or AI
von: Izumi, Kazuya, et al.
Veröffentlicht: (2024)

Pilot Study to Discover Candidate Biomarkers for Autism based on Perception and Production of Facial Expressions
von: Witherow, Megan A., et al.
Veröffentlicht: (2024)

Exploring Parent-Child Perceptions on Safety in Generative AI: Concerns, Mitigation Strategies, and Design Implications
von: Yu, Yaman, et al.
Veröffentlicht: (2024)

The Effect of Transparency on Students' Perceptions of AI Graders
von: Orgill, Joslyn, et al.
Veröffentlicht: (2026)

Examining the Impact of Label Detail and Content Stakes on User Perceptions of AI-Generated Images on Social Media
von: Chen, Jingruo, et al.
Veröffentlicht: (2025)

"AI Afterlife" as Digital Legacy: Perceptions, Expectations, and Concerns
von: Lei, Ying, et al.
Veröffentlicht: (2025)

Harnessing the Power of AI in Qualitative Research: Role Assignment, Engagement, and User Perceptions of AI-Generated Follow-Up Questions in Semi-Structured Interviews
von: Zhang, He, et al.
Veröffentlicht: (2025)

A Gamified Framework to Assist Therapists with the ABA Therapy for Autism
von: Cordioli, Matteo, et al.
Veröffentlicht: (2023)

Collaborative Job Seeking for People with Autism: Challenges and Design Opportunities
von: Ara, Zinat, et al.
Veröffentlicht: (2024)

Perceptions of AI Bad Behavior: Variations on Discordant Non-Performance
von: Banks, Jaime
Veröffentlicht: (2025)

Understanding Reader Perception Shifts upon Disclosure of AI Authorship
von: Nakano, Hiroki, et al.
Veröffentlicht: (2025)

Trust in Transparency: How Explainable AI Shapes User Perceptions
von: Sunny, Allen Daniel
Veröffentlicht: (2025)

Watching AI Think: User Perceptions of Visible Thinking in Chatbots
von: Cox, Samuel Rhys, et al.
Veröffentlicht: (2026)

What People See (and Miss) About Generative AI Risks: Perceptions of Failures, Risks, and Who Should Address Them
von: Li, Megan, et al.
Veröffentlicht: (2026)

Effect of AI Performance, Risk Perception, and Trust on Human Dependence in Deepfake Detection AI system
von: Zhou, Yingfan, et al.
Veröffentlicht: (2025)

Panel-by-Panel Souls: A Performative Workflow for Expressive Faces in AI-Assisted Manga Creation
von: Zhang, Qing, et al.
Veröffentlicht: (2025)

Understanding Educators' Perceptions of AI-generated Non-consensual Intimate Imagery
von: Li, Tongxin, et al.
Veröffentlicht: (2026)

Smell with Genji: Rediscovering Human Perception through an Olfactory Game with AI
von: Chen, Awu, et al.
Veröffentlicht: (2026)

Advancing Face-to-Face Emotion Communication: A Multimodal Dataset (AFFEC)
von: Sekiavandi, Meisam J., et al.
Veröffentlicht: (2025)

iFace: Hand-Over-Face Gesture Recognition Leveraging Impedance Sensing
von: Liu, Mengxi, et al.
Veröffentlicht: (2024)

Acceptability of AI Assistants for Privacy: Perceptions of Experts and Users on Personalized Privacy Assistants
von: Xu, Meihe, et al.
Veröffentlicht: (2025)

Skin-Deep Bias: How Avatar Appearances Shape Perceptions of AI Hiring
von: Lau, Ka Hei Carrie, et al.
Veröffentlicht: (2026)

The Trust in AI-Generated Health Advice (TAIGHA) Scale and Short Version (TAIGHA-S): Development and Validation Study
von: Kopka, Marvin, et al.
Veröffentlicht: (2025)

Content and Quality Analysis of mHealth Apps for Feeding Children with Autism Spectrum Disorder
von: Kuzagbe, Christopher Cofie, et al.
Veröffentlicht: (2025)

Exploring Implicit Perspectives on Autism in Large Language Models Through Multi-Agent Simulations
von: Park, Sohyeon, et al.
Veröffentlicht: (2026)

"Do I Trust the AI?" Towards Trustworthy AI-Assisted Diagnosis: Understanding User Perception in LLM-Supported Reasoning
von: Xu, Yuansong, et al.
Veröffentlicht: (2026)

Exploring Culturally Informed AI Assistants: A Comparative Study of ChatBlackGPT and ChatGPT
von: Egede, Lisa, et al.
Veröffentlicht: (2025)

Thematic Analysis with Open-Source Generative AI and Machine Learning: A New Method for Inductive Qualitative Codebook Development
von: Katz, Andrew, et al.
Veröffentlicht: (2024)

Human Bias in the Face of AI: Examining Human Judgment Against Text Labeled as AI Generated
von: Zhu, Tiffany, et al.
Veröffentlicht: (2024)

Thoughtful, Confused, or Untrustworthy: How Text Presentation Influences Perceptions of AI Writing Tools
von: Zhou, David, et al.
Veröffentlicht: (2025)

Exploring the Impact of AI Value Alignment in Collaborative Ideation: Effects on Perception, Ownership, and Output
von: Guo, Alicia, et al.
Veröffentlicht: (2024)