Copertina

User-Driven Value Alignment: Understanding Users' Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Fan, Xianzhe, Xiao, Qing, Zhou, Xuhui, Pei, Jiaxin, Sap, Maarten, Lu, Zhicong, Shen, Hong
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Human-Computer Interaction
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Minion: A Technology Probe to Explore How Users Negotiate Harmful Value Conflicts with AI Companions
di: Fan, Xianzhe, et al.
Pubblicazione: (2024)

Rethinking Theory of Mind Benchmarks for LLMs: Towards A User-Centered Perspective
di: Wang, Qiaosi, et al.
Pubblicazione: (2025)

How Users Who are Blind or Low Vision Play Mobile Games: Perceptions, Challenges, and Strategies
di: Ran, Zihe, et al.
Pubblicazione: (2025)

Framing an AI with Values Reduces AI Reliance in AI-supported Writing Tasks
di: Gao, Alice, et al.
Pubblicazione: (2026)

Let's Influence Algorithms Together: How Millions of Fans Build Collective Understanding of Algorithms and Organize Coordinated Algorithmic Actions
di: Xiao, Qing, et al.
Pubblicazione: (2024)

Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies
di: Cohen, Myke C., et al.
Pubblicazione: (2026)

Examining the Effect of Explanations of AI Privacy Redaction in AI-mediated Interactions
di: Kaushik, Roshni, et al.
Pubblicazione: (2026)

Let Them Down Easy! Contextual Effects of LLM Guardrails on User Perceptions and Preferences
di: Zheng, Mingqian, et al.
Pubblicazione: (2025)

Understanding User Privacy Perceptions of GenAI Smartphones
di: Jin, Ran, et al.
Pubblicazione: (2026)

The Power of Perception in Human-AI Interaction: Investigating Psychological Factors and Cognitive Biases that Shape User Belief and Behavior
di: Lee, Eunhae
Pubblicazione: (2024)

The Siren Song of LLMs: How Users Perceive and Respond to Dark Patterns in Large Language Models
di: Shi, Yike, et al.
Pubblicazione: (2025)

Understanding How Blind Users Handle Object Recognition Errors: Strategies and Challenges
di: Hong, Jonggi, et al.
Pubblicazione: (2024)

Building Intelligent User Interfaces for Human-AI Alignment
di: Shi, Danqing
Pubblicazione: (2026)

Tracing Users' Privacy Concerns Across the Lifecycle of a Romantic AI Companion
di: Azam, Kazi Ababil, et al.
Pubblicazione: (2026)

Constructing Algorithmic Authority: How Multi-Channel Networks (MCNs) Govern Live-Streaming Labor in China
di: Xiao, Qing, et al.
Pubblicazione: (2025)

Understanding User Perceptions of Human-centered AI-Enhanced Support Group Formation in Online Healthcare Communities
di: Barman, Pronob Kumar, et al.
Pubblicazione: (2026)

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

User Understanding of Privacy Permissions in Mobile Augmented Reality: Perceptions and Misconceptions
di: Paneva, Viktorija, et al.
Pubblicazione: (2025)

Understanding Users' Privacy Perceptions Towards LLM's RAG-based Memory
di: Zhang, Shuning, et al.
Pubblicazione: (2025)

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

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

"How to Explore Biases in Speech Emotion AI with Users?" A Speech-Emotion-Acting Study Exploring Age and Language Biases
di: Borre, Josephine Beatrice Skovbo, et al.
Pubblicazione: (2025)

Counterspeakers' Perspectives: Unveiling Barriers and AI Needs in the Fight against Online Hate
di: Mun, Jimin, et al.
Pubblicazione: (2024)

Privacy in Immersive Extended Reality: Exploring User Perceptions, Concerns, and Coping Strategies
di: Hadan, Hilda, et al.
Pubblicazione: (2025)

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

Perfectly to a Tee: Understanding User Perceptions of Personalized LLM-Enhanced Narrative Interventions
di: Bhattacharjee, Ananya, et al.
Pubblicazione: (2024)

Understanding User Perception and Intention to Use Smart Homes for Energy Efficiency: A Survey
di: Zharova, Alona, et al.
Pubblicazione: (2022)

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

Perceptions of Discriminatory Decisions of Artificial Intelligence: Unpacking the Role of Individual Characteristics
di: Kim, Soojong
Pubblicazione: (2024)

Understanding User Mental Models in AI-Driven Code Completion Tools: Insights from an Elicitation Study
di: Desolda, Giuseppe, et al.
Pubblicazione: (2025)

Vibe Check: Understanding the Effects of LLM-Based Conversational Agents' Personality and Alignment on User Perceptions in Goal-Oriented Tasks
di: Rahman, Hasibur, et al.
Pubblicazione: (2025)

Cognitively Biased Users Interacting with Algorithmically Biased Results in Whole-Session Search on Debated Topics
di: Wang, Ben, et al.
Pubblicazione: (2024)

Zeitgebers-Based User Time Perception Analysis and Data-Driven Modeling via Transformer in VR
di: Li, Yi, et al.
Pubblicazione: (2024)

Agentic Enterprise: AI-Centric User to User-Centric AI
di: Narechania, Arpit, et al.
Pubblicazione: (2025)

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

Understanding Users' Interaction with Login Notifications
di: Markert, Philipp, et al.
Pubblicazione: (2022)

Should AI Mimic People? Understanding AI-Supported Writing Technology Among Black Users
di: Basoah, Jeffrey, et al.
Pubblicazione: (2025)

"I Just Don't Want My Work Being Fed Into The AI Blender": Queer Artists on Refusing and Resisting Generative AI
di: Taylor, Jordan, et al.
Pubblicazione: (2026)

Not Like Us, Hunty: Measuring Perceptions and Behavioral Effects of Minoritized Anthropomorphic Cues in LLMs
di: Basoah, Jeffrey, et al.
Pubblicazione: (2025)

Is User Perception the Key to Unlocking the Full Potential of Business Process Management Systems (BPMS)? Enhancing BPMS Efficacy Through User Perception
di: Martin-Navarro, Alicia, et al.
Pubblicazione: (2025)