Research map/41 of 68 publications
The map of CAI, and where we have been
Seven places, from understanding a person's emotion to placing a system among people. Each is drawn to the size of the work behind it. Select one to see that work.
Human Affect
How people actually experience emotion, and where they disagree — the question that precedes any model.
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Bayesian Spectral Emotion Transition Discovery from Multi-Annotator Disagreement
Keito Inoshita, Takato Ueno · IEEE ICDM 2026 · Aug 2026
Perception
Estimating emotion from text, speech, video and physiological signals.
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Keito Inoshita · arXiv · Dec 2025
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Verification and Mitigation of Language Models' Classification Performance on Child-Authored Text
Keito Inoshita, Yuken Kimura, Rushia Harada · The 27th Annual Conference of the Japan Society of Kansei Engineering · Sep 2025
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Enhancing Sentiment Analysis Accuracy and Evaluating Task Affinity Using Large Language Models
Keito Inoshita · IEEE ICoAILO 2025, pp. 181-187 · Aug 2025 Best Paper Award
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Keito Inoshita, Takato Ueno, Xiaokang Zhou · NLDB 2025, vol. 15836 · Jul 2025 Best Paper Award
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Takato Ueno, Keito Inoshita · IEEE IAICT 2025, pp. 345-352 · Jul 2025
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Research Trends and Future Challenges in Emotion Recognition Technology Using Natural Language Processing
Yutaro Hara, Keito Inoshita · IPSJ SIG Technical Report on Natural Language Processing, vol. 2025-NL-264, issue 10, pp. 1-6 · Jul 2025
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Current State and Prospects of Multimodal Emotion Recognition Technology in Workplace Environments
Keito Inoshita, Hironobu Ozaki · Journal of the Japan Society of Information and Knowledge, vol. 35, issue 2, pp. 151-156 · Mar 2025
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Keito Inoshita, Xiaokang Zhou, Shohei Shimizu · IEEE iThings 2024, pp. 149-156 · Aug 2024
Representation
Holding what was read as a distribution, with its uncertainty intact.
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Crossing the “LLMs Give Labels but Not Uncertainty” Wall: Implementation and Operational Practices for Generative AI Deployment in Subjective Judgment Tasks
Keito Inoshita · IPSJ Transactions on Digital Practices · Apr 2027
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Keito Inoshita, Takato Ueno · arXiv · Jun 2026
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Uncertainty Decomposition via Cyclical SG-MCMC and Soft-label Learning for Subjective NLP
Keito Inoshita, Takato Ueno · arXiv · May 2026
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Keito Inoshita, Xiaokang Zhou, Akira Kawai, Katsutoshi Yada · arXiv · Apr 2026
Reasoning
Judging from emotion: following context and causal structure.
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World model inspired sarcasm reasoning with large language model agents
Keito Inoshita, Shinnosuke Mizuno · Discovery Artificial Intelligence, vol. 6, no. 606 · May 2026
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Keito Inoshita, Nobuhiro Hayashida, Akira Imanishi · arXiv · Apr 2026
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Takato Ueno, Keito Inoshita · IEEE PICom 2025 · Oct 2025
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Verification of a Multi-Agent Probabilistic Inference Framework Inspired by Kairanban and IdoBata Conversation
Takato Ueno, Keito Inoshita · IPSJ SIG Technical Report on Computers and the Humanities (CH), vol. 2025-CH-138, issue 7, pp. 1-6 · Mar 2025
Generation
Producing affect-bearing language, data and behaviour.
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Class-Structure Preservation Beats Diversity: A Comprehensive Benchmark of Text Augmentation Methods for Imbalanced Text Classification
Keito Inoshita · arXiv · Aug 2026
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Safety-Aware Evaluation of LLM-Generated Driver Intervention Messages through Multi-Task Risk Fusion
Keito Inoshita · arXiv · Jun 2026
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Keito Inoshita · IEEE ZINC 2026 · Jun 2026
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Keito Inoshita, Rushia Harada · International Journal of Activity and Behavior Computing, vol. 1, pp. 1-18 · Mar 2026
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KDDA: A Knowledge-Driven Domain and Diversity Alignment Framework for Emotion Data Generation with Large Language Models
Keito Inoshita, Hayato Tomisu, Xiaokang Zhou, Akira Kawai, Katsutoshi Yada · International Journal of Activity and Behavior Computing, vol. 1, pp. 1-24 · Mar 2026
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Interpolation- and Extrapolation-Based Data Augmentation Framework for Complementing the Structure of Emotion Data
Keito Inoshita · IEICE Technical Committee on Natural Language Understanding and Communication (NLC) · Mar 2026
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CIEGAD: Cluster-Conditioned Interpolative and Extrapolative Framework for Geometry-Aware and Domain-Aligned Data Augmentation
Keito Inoshita, Xiaokang Zhou, Akira Kawai, Katsutoshi Yada · arXiv · Dec 2025
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Reproducing Developmental Features and Preserving Semantics in Child-Style Text Generation Using LLM
Keito Inoshita, Keisuke Motomura, Rushia Harada · IEEE GCCE 2025 · Sep 2025
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Can Large Language Models Generate Writing Styles Across Different Ages?
Keito Inoshita · The 24th Forum on Information Technology (FIT 2025) · Sep 2025
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Persona-Based Emotional Text Generation Using Large Language Models
Keito Inoshita · 2025 IPSJ Kansai Branch Conference · Sep 2025
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Emotion Data Generation Using Large Language Models with Reduced Annotator Dependency
Keito Inoshita · The 20th Symposium for Young Researchers in Natural Language Processing · Sep 2025
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Emotion Data Generation Using Large Language Models Based on Knowledge-Driven Domain Adjustment and Diversity Expansion
Keito Inoshita · The 22nd Text Analytics Symposium · Sep 2025
Interaction
Building the place where a person and an AI meet through emotion.
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Behavioral Fidelity and Philosophy-Grounded Design for Self-Reflective Conversational AI
Takumi Matsuo, Keito Inoshita · IEEE GCCE 2026 · Oct 2026
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Rushia Harada, Yuken Kimura, Keito Inoshita · AI-DHWP @ CyberSciTech 2025 · Oct 2025
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GNN-Enhanced Multimodal Fusion with Contrastive Learning for Smart Health Oriented Food Recommendation System
Ryutaro Matsuoka, Keito Inoshita, Xiaokang Zhou, Zhigao Zheng, Akira Kawai, Katsutoshi Yada · IEEE HPCC 2025, pp. 864-871 · Aug 2025 Best Paper Award
Society
Placing it in society, including who decides what an emotion means.
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Bridging the Silos in Affective AI: A Critical Perspective from Data to Society
Keito Inoshita · AI & Society · Aug 2026
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Keito Inoshita · arXiv · Jul 2026
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Keito Inoshita, Michiaki Omura, Tsukasa Yamanaka, Go Maeda, Kentaro Tsuji · arXiv · Mar 2026
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Political Influence of Large Language Models and Guidelines for Governance
Keito Inoshita · The 44th Showa Ikeda Award for Student Papers · Jun 2025
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Workplace Emotion Analysis and Well-being Improvement Using Generative AI
Keito Inoshita · Earth, Space, and Future, vol. 1, issue 2, pp. 109-114 · Apr 2025
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Analysis of Candidate Tourist Area Groups Focusing on Review Similarities among Tourist Sites across Kyoto, Shiga, and Nara Prefectures
Hironobu Ozaki, Keito Inoshita · Journal of the Japan Society of Information and Knowledge, vol. 35, issue 2, pp. 327-333 · Mar 2025
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Emotion Data Guides Workplace Well-being in the Era of Generative AI
Keito Inoshita · Proceedings of the 25th Science and Engineering Students' Science and Technology Paper Contest · Mar 2025
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Sentiment Bias and Security Analysis in Training Datasets of Large Language Models
Keito Inoshita, Xiaokang Zhou · IEEE BDCloud 2024, pp. 1-8 · Oct 2024 Best Paper Award
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Innovation and Optimization of Human Resource Management Through Personal AI and Organizational AI
Keito Inoshita · The 1st Prize Essay of the Institute for the Future of People and Work · Jan 2024
Beyond the map: 27 publications in AI research outside affective computing — scientific naming, conflict-structure corpora, model merging. Every publication on this site was read and placed at the single stage it contributes to most; work spanning several stages is counted once. All publications →