Roberto Legaspi

48 papers A* 4A 4B 8C 8Misc 1Journal 16Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Dialogue Control and Its Consequences: Grounding, Policy, and User Perception in Persuasive Chatbots. CHI Extended Abstracts Roberto Legaspi, Donghuo Zeng, Kazushi Ikeda
2026	B	`conf`	Personality-Aware Reinforcement Learning for Persuasive Dialogue with LLM-Driven Simulation. PERSUASIVE Donghuo Zeng, Roberto Legaspi, Kazushi Ikeda
2026	J	`jnl`	Personality-Aware Reinforcement Learning for Persuasive Dialogue with LLM-Driven Simulation. CoRR Donghuo Zeng, Roberto Legaspi, Kazushi Ikeda
2026	B	`ed.`	Persuasive Technology - 21st International Conference, PERSUASIVE 2026, Hakodate, Japan, March 10-13, 2026, Proceedings PERSUASIVE Kaoru Sumi, Raian Ali, Roberto Legaspi
2026	J	`jnl`	Sample-Level Prototypical Federated Learning. IEEE Trans. Pattern Anal. Mach. Intell. Chuizheng Meng, Jianke Yang, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
2025	—	`conf`	CartoMapQA: A Fundamental Benchmark Dataset Evaluating Vision-Language Models on Cartographic Map Understanding. SIGSPATIAL/GIS Huy Quang Ung, Guillaume Habault, Yasutaka Nishimura, Hao Niu, Roberto Legaspi, Tomoki Oya, Ryoichi Kojima, Masato Taya, Chihiro Ono, Atsunori Minamikawa, Yan Liu
2025	J	`jnl`	CartoMapQA: A Fundamental Benchmark Dataset Evaluating Vision-Language Models on Cartographic Map Understanding. CoRR Huy Quang Ung, Guillaume Habault, Yasutaka Nishimura, Hao Niu, Roberto Legaspi, Tomoki Oya, Ryoichi Kojima, Masato Taya, Chihiro Ono, Atsunori Minamikawa, Yan Liu
2025	J	`jnl`	Causal Discovery and Counterfactual Reasoning to Optimize Persuasive Dialogue Policies. CoRR Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2025	A	`conf`	Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge. UMAP Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2025	J	`jnl`	Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge. CoRR Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2025	B	`conf`	Learning Hidden Causal Factors from Psychometrics Data Using Distributional Information. CogSci Roberto Legaspi, Xinshuai Dong, Donghuo Zeng, Yuewen Sun, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2024	A*	`conf`	A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. ICLR Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
2024	J	`jnl`	Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome. CoRR Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2024	—	`conf`	Development of a Prototype AI System for Real-time Emotion Prediction and Mental State Adjustment. PERSUASIVE (Adjunct) Akihiro Sasaki, Eriko Sugisaki, Roberto Legaspi, Yasushi Naruse, Nao Kobayashi
2024	B	`conf`	Estimating Sense of Agency from Behavioral Logs: Toward a Just-in-Time Adaptive Intervention System. PERSUASIVE Ryunosuke Togawa, Roberto Legaspi, Yasutaka Nishimura, Akihiro Miyamamoto, Bo Yang, Eriko Sugisaki, Kazushi Ikeda, Nao Kobayashi, Yasushi Naruse
2024	A*	`conf`	Identifying Latent State-Transition Processes for Individualized Reinforcement Learning. NeurIPS Yuewen Sun, Biwei Huang, Yu Yao, Donghuo Zeng, Xinshuai Dong, Songyao Jin, Boyang Sun, Roberto Legaspi, Kazushi Ikeda, Peter Spirtes, Kun Zhang
2024	C	`conf`	Mixture of Projection Experts for Multivariate Long-Term Time Series Forecasting. ICMLA Hao Niu, Guillaume Habault, Defu Cao, Yizhou Zhang, Roberto Legaspi, Huy Quang Ung, James Enouen, Shinya Wada, Chihiro Ono, Atsunori Minamikawa, Yan Liu
2024	A*	`conf`	On the Parameter Identifiability of Partially Observed Linear Causal Models. NeurIPS Xinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
2024	J	`jnl`	On the Parameter Identifiability of Partially Observed Linear Causal Models. CoRR Xinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
2024	J	`jnl`	Sensor event sequence prediction for proactive smart home: A GPT2-based autoregressive language model approach. J. Ambient Intell. Smart Environ. Naoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Atsunori Minamikawa, Thomas Plötz, Sonia Chernova
2024	J	`jnl`	The sense of agency in human-AI interactions. Knowl. Based Syst. Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada, Nao Kobayashi, Yasushi Naruse, Yuichi Ishikawa
2024	—	`conf`	Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval. EMNLP (Findings) Kazuaki Furumai, Roberto Legaspi, Julio Romero, Yudai Yamazaki, Yasutaka Nishimura, Sina J. Semnani, Kazushi Ikeda, Weiyan Shi, Monica S. Lam
2024	J	`jnl`	Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval. CoRR Kazuaki Furumai, Roberto Legaspi, Julio Vizcarra, Yudai Yamazaki, Yasutaka Nishimura, Sina J. Semnani, Kazushi Ikeda, Weiyan Shi, Monica S. Lam
2023	J	`jnl`	A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. CoRR Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
2023	C	`conf`	ALLFA: Active Learning Through Label and Feature Augmentation. ICMLA Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova
2023	A	`conf`	Composing Groups in Collaborative Learning by Pair Personality Differences. UMAP Akihiro Kobayashi, Yuichi Ishikawa, Kazushi Ikeda, Daisuke Kamisaka, Roberto Legaspi
2023	B	`conf`	Does the Association Between Persuasive Strategies and Personality Types Vary Across Regions. PERSUASIVE Wenzhen Xu, Roberto Legaspi, Yuichi Ishikawa
2023	—	`conf`	Extraction of Important Temporal Order for eXplainable AI on Time-series data. PerCom Workshops Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova
2023	J	`jnl`	Physiological Responses to Movies Predict Marital Satisfaction. IEEE Access Yuichi Ishikawa, Nao Kobayashi, Roberto Legaspi, Kae Nakajima, Yasushi Naruse
2023	Misc	`conf`	Sensor Event Sequence Prediction for Proactive Smart Home Support Using Autoregressive Language Model. IE Naoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Atsunori Minamikawa, Thomas Plötz, Sonia Chernova
2023	A	`conf`	Time-delayed Multivariate Time Series Predictions. SDM Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu
2022	—	`conf`	Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. PAKDD (1) Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
2022	A	`conf`	Multidimensional Analysis of Sense of Agency During Goal Pursuit. UMAP Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada, Yuichi Ishikawa
2022	A*	`conf`	Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data. IJCAI Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
2022	B	`conf`	The Utility of Personality Types for Personalizing Persuasion. PERSUASIVE Wenzhen Xu, Yuichi Ishikawa, Roberto Legaspi
2022	B	`conf`	Trip Destination Prediction by Cross-City Exploratory Data Analysis Approach in People Flow Data. IEEE Big Data Ryoichi Kojima, Roberto Legaspi, Shinya Wada
2022	J	`jnl`	Unsupervised Learning of Domain-Independent User Attributes. IEEE Access Yuichi Ishikawa, Roberto Legaspi, Kei Yonekawa, Yugo Nakamura, Shigemi Ishida, Tsunenori Mine, Yutaka Arakawa
2021	—	`conf`	Classical machine learning and deep neural network ensemble model for GPS-based activity recognition. UbiComp/ISWC Adjunct Ryoichi Kojima, Roberto Legaspi, Yutaro Mishima, Shinya Wada
2021	C	`conf`	Event Detection and Event-Relevant Tweet Extraction with Human Mobility. MobiQuitous Naoto Takeda, Daisuke Kamisaka, Roberto Legaspi, Yutaro Mishima, Atsunori Minamikawa
2021	J	`jnl`	Fuzzy Clustering in Assortative and Disassortative Networks. J. Adv. Comput. Intell. Intell. Informatics Ryoichi Kojima, Roberto Legaspi, Toshiaki Murofushi
2021	B	`conf`	Positing a Sense of Agency-Aware Persuasive AI: Its Theoretical and Computational Frameworks. PERSUASIVE Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada
2013	C	`conf`	Towards Building Incremental Affect Models in Self-Directed Learning Scenarios. ICCE Paul Salvador Inventado, Roberto Legaspi, Ken-ichi Fukui, Koichi Moriyama, Masayuki Numao
2012	C	`conf`	Aiding Digital Natives Learn Positive Learning Behaviors through Reflection. ICCE Roberto Legaspi, Paul Salvador Inventado, Rafael Cabredo, Masayuki Numao
2012	C	`conf`	Student Learning Behavior in an Unsupervised Learning Environment. ICCE Paul Salvador Inventado, Roberto Legaspi, Rafael Cabredo, Masayuki Numao
2011	C	`conf`	Investigating Transitions in Affect and Activities for Online Learning Interventions. ICCE Paul Salvador Inventado, Roberto Legaspi, Merlin Suarez, Masayuki Numao
2011	J	`jnl`	Predicting Student Emotions Resulting from Appraisal of its Feedback. Res. Pract. Technol. Enhanc. Learn. Paul Salvador Inventado, Roberto Legaspi, Merlin Suarez, Masayuki Numao
2010	C	`conf`	Predicting Student's Appraisal of Feedback in an ITS Using Previous Affective States and Continuous Affect Labels from EEG Data. ICCE Paul Salvador Inventado, Roberto Legaspi, The Duy Bui, Merlin Suarez
2006	J	`jnl`	A Category-based Framework of a Self-improving Instructional Planner. Inf. Media Technol. Roberto Legaspi, Raymund Sison, Masayuki Numao