Influencing human–AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness

Influencing human–AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness

Xehetasun bibliografikoak
Egile Nagusiak:	Pataranutaporn, Pat, Liu, Ruby, Finn, Ed, Maes, Patricia
Beste egile batzuk:	Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Formatua:	Artikulua
Hizkuntza:	en_US
Argitaratua:	SpringerNature 2023
Sarrera elektronikoa:	https://hdl.handle.net/1721.1/152316

Antzeko izenburuak

AI Comes Out of the Closet: Using AI-Generated Virtual Characters to Help Individuals Practice LGBTQIA+ Advocacy
nork: Pillis, Daniel, et al.
Argitaratua: (2024)

Don't Just Tell Me, Ask Me: AI Systems that Intelligently Frame Explanations as Questions Improve Human Logical Discernment Accuracy over Causal AI explanations
nork: Danry, Valdemar, et al.
Argitaratua: (2023)

Trust, trustworthiness and AI governance
nork: Christian Lahusen, et al.
Argitaratua: (2024-09-01)

Editorial: Trustworthy AI for healthcare
nork: Oleg Agafonov, et al.
Argitaratua: (2024-06-01)

Cyborg Psychology: The Art & Science of Designing Human-AI Systems that Support Human Flourishing
nork: Pataranutaporn, Pat
Argitaratua: (2024)

AI-determined similarity increases likability and trustworthiness of human voices.
nork: Oliver Jaggy, et al.
Argitaratua: (2025-01-01)

In Seal We Trust? Investigating the Effect of Certifications on Perceived Trustworthiness of AI Systems
nork: Magdalena Wischnewski, et al.
Argitaratua: (2024-01-01)

Filling gaps in trustworthy development of AI
nork: Avin, S, et al.
Argitaratua: (2021)

Living Memories: AI-Generated Characters as Digital Mementos
nork: Pataranutaporn, Pat, et al.
Argitaratua: (2023)

AI-generated characters for supporting personalized learning and well-being
nork: Pataranutaporn, Pat, et al.
Argitaratua: (2023)

Supporting Trustworthy AI Through Machine Unlearning
nork: Hine, E, et al.
Argitaratua: (2024)

Putting Things into Context: Generative AI-Enabled Context Personalization for Vocabulary Learning Improves Learning Motivation
nork: Leong, Joanne, et al.
Argitaratua: (2024)

Trustworthy artificial intelligence and the European Union AI act: on the conflation of trustworthiness and acceptability of risk
nork: Laux, J, et al.
Argitaratua: (2023)

More trustworthy generative AI through hallucination reduction
nork: He, Guoshun
Argitaratua: (2024)

Establishing and evaluating trustworthy AI: overview and research challenges
nork: Dominik Kowald, et al.
Argitaratua: (2024-11-01)

From theory to practice: Harmonizing taxonomies of trustworthy AI
nork: Christos A. Makridis, et al.
Argitaratua: (2024-12-01)

After Computational Reproducibility: Scientific Reproducibility and Trustworthy AI
nork: Bin Yu
Argitaratua: (2024-05-01)

AI-Generated Characters: Putting Deepfakes to Good Use
nork: Danry, Valdemar, et al.
Argitaratua: (2022)

Achieving On-Site Trustworthy AI Implementation in the Construction Industry: A Framework Across the AI Lifecycle
nork: Lichao Yang, et al.
Argitaratua: (2024-12-01)

Trustworthy AI and Trust in Audit: between Prudence and Reputational Risks
nork: Cătălin Paul PĂCURARU-IONESCU, et al.
Argitaratua: (2024-07-01)

Trustworthy AI: Securing Sensitive Data in Large Language Models
nork: Georgios Feretzakis, et al.
Argitaratua: (2024-12-01)

Stakeholder perspectives on ethical and trustworthy voice AI in health care
nork: Jean-Christophe Bélisle-Pipon, et al.
Argitaratua: (2024-07-01)

Early detection of dementia through retinal imaging and trustworthy AI
nork: Jinkui Hao, et al.
Argitaratua: (2024-10-01)

Considering the Role of Human Empathy in AI-Driven Therapy
nork: Matan Rubin, et al.
Argitaratua: (2024-06-01)

Towards trustworthy AI-driven leukemia diagnosis: A hybrid Hierarchical Federated Learning and explainable AI framework
nork: Khadija Pervez, et al.
Argitaratua: (2025-01-01)

Three Paradoxes to Reconcile to Promote Safe, Fair, and Trustworthy AI in Education
nork: Slama, Rachel, et al.
Argitaratua: (2024)

Bridging the Gap in the Adoption of Trustworthy AI in Indian Healthcare: Challenges and Opportunities
nork: Sarat Kumar Chettri, et al.
Argitaratua: (2025-01-01)

PowerTrust: AI-Based Trustworthiness Assessment in the Internet of Grid Things
nork: Wajahat Ali, et al.
Argitaratua: (2024-01-01)

Trustworthy and ethical AI-enabled cardiovascular care: a rapid review
nork: Maryam Mooghali, et al.
Argitaratua: (2024-09-01)

Challenges and efforts in managing AI trustworthiness risks: a state of knowledge
nork: Nineta Polemi, et al.
Argitaratua: (2024-05-01)

AI Trust: Can Explainable AI Enhance Warranted Trust?
nork: Regina de Brito Duarte, et al.
Argitaratua: (2023-01-01)

It is not about AI, it is about humans. Responsibility gaps and medical AI
nork: Giubilini, A
Argitaratua: (2025)

Elicitation and Empathy with AI-enhanced Adaptive Assistive Technologies (AATs)
nork: Nora McDonald, et al.
Argitaratua: (2023-10-01)

What AI “art” can teach us about art
nork: Simona Chiodo
Argitaratua: (2024-12-01)

Reliable and Trustworthy AI for Evidence-based Clinical Decision Support in Cancer Care
nork: Moon, Intae
Argitaratua: (2024)

AIDCT: An AI service development and composition tool for constructing trustworthy intelligent systems
nork: Wei Jiang, et al.
Argitaratua: (2024-12-01)

Defending Against AI Threats with a User-Centric Trustworthiness Assessment Framework
nork: Efi Kafali, et al.
Argitaratua: (2024-10-01)

The impact of labeling automotive AI as trustworthy or reliable on user evaluation and technology acceptance
nork: John Dorsch, et al.
Argitaratua: (2025-01-01)

A multi-dimensional hierarchical evaluation system for data quality in trustworthy AI
nork: Hui-Juan Zhang, et al.
Argitaratua: (2024-09-01)

Trustworthy AI Guidelines in Biomedical Decision-Making Applications: A Scoping Review
nork: Marçal Mora-Cantallops, et al.
Argitaratua: (2024-07-01)