Indeterminacy in Affective Computing: Considering Meaning and Context in Data Collection Practices
Fuente:
arXiv
Saved in:
| Main Authors: | Dudzik, Bernd, Hrkalovic, Tiffany Matej, Hao, Chenxu, Raman, Chirag, Tsfasman, Masha |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stories of Your Life as Others: A Round-Trip Evaluation of LLM-Generated Life Stories Conditioned on Rich Psychometric Profiles
by: Wigler, Ben, et al.
Published: (2026)
by: Wigler, Ben, et al.
Published: (2026)
The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems?
by: Tsfasman, Maria, et al.
Published: (2025)
by: Tsfasman, Maria, et al.
Published: (2025)
Introducing MeMo: A Multimodal Dataset for Memory Modelling in Multiparty Conversations
by: Tsfasman, Maria, et al.
Published: (2024)
by: Tsfasman, Maria, et al.
Published: (2024)
Label Indeterminacy in AI & Law
by: Steging, Cor, et al.
Published: (2025)
by: Steging, Cor, et al.
Published: (2025)
Multimodal Quantitative Measures for Multiparty Behaviour Evaluation
by: Shirekar, Ojas, et al.
Published: (2025)
by: Shirekar, Ojas, et al.
Published: (2025)
Confronting Label Indeterminacy in Automated Bail Decisions
by: Steging, Cor, et al.
Published: (2026)
by: Steging, Cor, et al.
Published: (2026)
MindForge: Empowering Embodied Agents with Theory of Mind for Lifelong Cultural Learning
by: Lică, Mircea, et al.
Published: (2024)
by: Lică, Mircea, et al.
Published: (2024)
Creative Loss: Ambiguity, Uncertainty and Indeterminacy
by: Holberton, Tom
Published: (2024)
by: Holberton, Tom
Published: (2024)
Phase Transitions in Affective Meaning Divergence: The Hidden Drift Before the Break
by: Litchiowong, Napassorn
Published: (2026)
by: Litchiowong, Napassorn
Published: (2026)
AffectEval: A Modular and Customizable Framework for Affective Computing
by: Zhou, Emily, et al.
Published: (2025)
by: Zhou, Emily, et al.
Published: (2025)
DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy
by: Sun, Hongda, et al.
Published: (2023)
by: Sun, Hongda, et al.
Published: (2023)
On Prompt Sensitivity of ChatGPT in Affective Computing
by: Amin, Mostafa M., et al.
Published: (2024)
by: Amin, Mostafa M., et al.
Published: (2024)
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
by: Lang, Hao, et al.
Published: (2023)
by: Lang, Hao, et al.
Published: (2023)
FRSICL: LLM-Enabled In-Context Learning Flight Resource Allocation for Fresh Data Collection in UAV-Assisted Wildfire Monitoring
by: Emami, Yousef, et al.
Published: (2025)
by: Emami, Yousef, et al.
Published: (2025)
TAAC: A gate into Trustable Audio Affective Computing
by: Hu, Xintao, et al.
Published: (2026)
by: Hu, Xintao, et al.
Published: (2026)
A Computational Framework for Interpretable Text-Based Personality Assessment from Social Media
by: Gjurković, Matej
Published: (2025)
by: Gjurković, Matej
Published: (2025)
Data Collection of Real-Life Knowledge Work in Context: The RLKWiC Dataset
by: Bakhshizadeh, Mahta, et al.
Published: (2024)
by: Bakhshizadeh, Mahta, et al.
Published: (2024)
When LLMs Team Up: The Emergence of Collaborative Affective Computing
by: Lai, Wenna, et al.
Published: (2025)
by: Lai, Wenna, et al.
Published: (2025)
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing
by: Lu, Hao, et al.
Published: (2024)
by: Lu, Hao, et al.
Published: (2024)
Affective Computing and Emotional Data: Challenges and Implications in Privacy Regulations, The AI Act, and Ethics in Large Language Models
by: Fabiano, Nicola
Published: (2025)
by: Fabiano, Nicola
Published: (2025)
Preference Models assume Proportional Hazards of Utilities
by: Nagpal, Chirag
Published: (2025)
by: Nagpal, Chirag
Published: (2025)
Rethinking Explainability in the Era of Multimodal AI
by: Agarwal, Chirag
Published: (2025)
by: Agarwal, Chirag
Published: (2025)
Agentic Hives: Equilibrium, Indeterminacy, and Endogenous Cycles in Self-Organizing Multi-Agent Systems
by: Garnier, Jean-Philippe
Published: (2026)
by: Garnier, Jean-Philippe
Published: (2026)
Affective Computing Has Changed: The Foundation Model Disruption
by: Schuller, Björn, et al.
Published: (2024)
by: Schuller, Björn, et al.
Published: (2024)
LLM-Enabled In-Context Learning for Data Collection Scheduling in UAV-assisted Sensor Networks
by: Emami, Yousef, et al.
Published: (2025)
by: Emami, Yousef, et al.
Published: (2025)
Deciding When Not to Decide: Indeterminacy-Aware Intrusion Detection with NeutroSENSE
by: Al-Masri, Eyhab
Published: (2025)
by: Al-Masri, Eyhab
Published: (2025)
MissMAC-Bench: Building Solid Benchmark for Missing Modality Issue in Robust Multimodal Affective Computing
by: Lin, Ronghao, et al.
Published: (2026)
by: Lin, Ronghao, et al.
Published: (2026)
What do your logits know? (The answer may surprise you!)
by: Fedzechkina, Masha, et al.
Published: (2026)
by: Fedzechkina, Masha, et al.
Published: (2026)
RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems
by: Friel, Robert, et al.
Published: (2024)
by: Friel, Robert, et al.
Published: (2024)
From Prompt Engineering to Prompt Science With Human in the Loop
by: Shah, Chirag
Published: (2024)
by: Shah, Chirag
Published: (2024)
ICL-Router: In-Context Learned Model Representations for LLM Routing
by: Wang, Chenxu, et al.
Published: (2025)
by: Wang, Chenxu, et al.
Published: (2025)
On the Computation of Meaning, Language Models and Incomprehensible Horrors
by: Bennett, Michael Timothy
Published: (2023)
by: Bennett, Michael Timothy
Published: (2023)
Pipelined Decoder for Efficient Context-Aware Text Generation
by: Huang, Zixian, et al.
Published: (2025)
by: Huang, Zixian, et al.
Published: (2025)
Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension
by: Wang, Chenxu, et al.
Published: (2024)
by: Wang, Chenxu, et al.
Published: (2024)
Towards Operationalizing Right to Data Protection
by: Java, Abhinav, et al.
Published: (2024)
by: Java, Abhinav, et al.
Published: (2024)
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond
by: Nguyen-Tang, Thanh, et al.
Published: (2024)
by: Nguyen-Tang, Thanh, et al.
Published: (2024)
In-Context Explainers: Harnessing LLMs for Explaining Black Box Models
by: Kroeger, Nicholas, et al.
Published: (2023)
by: Kroeger, Nicholas, et al.
Published: (2023)
Echo-N1: Affective RL Frontier
by: Zhang, Naifan, et al.
Published: (2025)
by: Zhang, Naifan, et al.
Published: (2025)
A Computationally Efficient Learning of Artificial Intelligence System Reliability Considering Error Propagation
by: Pan, Fenglian, et al.
Published: (2026)
by: Pan, Fenglian, et al.
Published: (2026)
Clarifying Before Reasoning: A Coq Prover with Structural Context
by: Lu, Yanzhen, et al.
Published: (2025)
by: Lu, Yanzhen, et al.
Published: (2025)
Similar Items
-
Stories of Your Life as Others: A Round-Trip Evaluation of LLM-Generated Life Stories Conditioned on Rich Psychometric Profiles
by: Wigler, Ben, et al.
Published: (2026) -
The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems?
by: Tsfasman, Maria, et al.
Published: (2025) -
Introducing MeMo: A Multimodal Dataset for Memory Modelling in Multiparty Conversations
by: Tsfasman, Maria, et al.
Published: (2024) -
Label Indeterminacy in AI & Law
by: Steging, Cor, et al.
Published: (2025) -
Multimodal Quantitative Measures for Multiparty Behaviour Evaluation
by: Shirekar, Ojas, et al.
Published: (2025)