Roberto Legaspi

According to our database, Roberto Legaspi authored at least 52 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome.

Donghuo Zeng, Roberto Sebastian Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang

Proceedings of the Persuasive Technology - 19th International Conference, 2024

Estimating Sense of Agency from Behavioral Logs: Toward a Just-in-Time Adaptive Intervention System.

Ryunosuke Togawa, Roberto Legaspi, Yasutaka Nishimura, Akihiro Miyamamoto, Bo Yang, Eriko Sugisaki, Kazushi Ikeda, Nao Kobayashi, Yasushi Naruse

Proceedings of the Persuasive Technology - 19th International Conference, 2024

2023

A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables.

Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang

CoRR, 2023

Physiological Responses to Movies Predict Marital Satisfaction.

Yuichi Ishikawa, Nao Kobayashi, Roberto Legaspi, Kae Nakajima, Yasushi Naruse

IEEE Access, 2023

Composing Groups in Collaborative Learning by Pair Personality Differences.

Akihiro Kobayashi, Yuichi Ishikawa, Kazushi Ikeda, Daisuke Kamisaka, Roberto Legaspi

Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023

Time-delayed Multivariate Time Series Predictions.

Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Does the Association Between Persuasive Strategies and Personality Types Vary Across Regions.

Wenzhen Xu, Roberto Legaspi, Yuichi Ishikawa

Proceedings of the Persuasive Technology - 18th International Conference, 2023

Extraction of Important Temporal Order for eXplainable AI on Time-series data.

Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Sensor Event Sequence Prediction for Proactive Smart Home Support Using Autoregressive Language Model.

Naoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Atsunori Minamikawa, Thomas Plötz, Sonia Chernova

Proceedings of the 19th International Conference on Intelligent Environments, 2023

ALLFA: Active Learning Through Label and Feature Augmentation.

Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Unsupervised Learning of Domain-Independent User Attributes.

Yuichi Ishikawa, Roberto Legaspi, Kei Yonekawa, Yugo Nakamura, Shigemi Ishida, Tsunenori Mine, Yutaka Arakawa

IEEE Access, 2022

Multidimensional Analysis of Sense of Agency During Goal Pursuit.

Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada, Yuichi Ishikawa

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

The Utility of Personality Types for Personalizing Persuasion.

Wenzhen Xu, Yuichi Ishikawa, Roberto Legaspi

Proceedings of the Persuasive Technology - 17th International Conference, 2022

Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction.

Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data.

Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Trip Destination Prediction by Cross-City Exploratory Data Analysis Approach in People Flow Data.

Ryoichi Kojima, Roberto Legaspi, Shinya Wada

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Fuzzy Clustering in Assortative and Disassortative Networks.

Ryoichi Kojima, Roberto Legaspi, Toshiaki Murofushi

J. Adv. Comput. Intell. Intell. Informatics, 2021

Psychographic Matching between a Call Center Agent and a Customer.

Akihiro Kobayashi, Yuichi Ishikawa, Roberto Sebastian Legaspi

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

Positing a Sense of Agency-Aware Persuasive AI: Its Theoretical and Computational Frameworks.

Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada

Proceedings of the Persuasive Technology - 16th International Conference, 2021

Event Detection and Event-Relevant Tweet Extraction with Human Mobility.

Naoto Takeda, Daisuke Kamisaka, Roberto Legaspi, Yutaro Mishima, Atsunori Minamikawa

Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking and Services, 2021

Classical machine learning and deep neural network ensemble model for GPS-based activity recognition.

Ryoichi Kojima, Roberto Legaspi, Yutaro Mishima, Shinya Wada

Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

2015

An analysis of player affect transitions in survival horror games.

Vanus Vachiratamporn, Roberto Sebastian Legaspi, Koichi Moriyama, Ken-ichi Fukui, Masayuki Numao

J. Multimodal User Interfaces, 2015

A Novel Mental State Model of Social Perception of Brand Crisis from an Entertainment Perspective.

Rungsiman Nararatwong, Roberto Sebastian Legaspi, Hitoshi Okada, Hiroshi Maruyama

Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015

Improving Inertial Navigation Systems with Pedestrian Locomotion Classifiers.

Courtney Ngo, Solomon See, Roberto Sebastian Legaspi

Proceedings of the PECCS 2015, 2015

2014

Sidekick: A Tool for Helping Students Manage Behavior in Self-initiated Learning Scenarios.

Paul Salvador Inventado, Roberto Sebastian Legaspi, Koichi Moriyama, Ken-ichi Fukui, Masayuki Numao

Int. J. Distance Educ. Technol., 2014

Perception-Based Resilience: Accounting for the Impact of Human Perception on Resilience Thinking.

Roberto Sebastian Legaspi, Hiroshi Maruyama, Rungsiman Nararatwong, Hitoshi Okada

Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014

2013

Discovering Emotion-Inducing Music Features Using EEG Signals.

Rafael Cabredo, Roberto Sebastian Legaspi, Paul Salvador Inventado, Masayuki Numao

J. Adv. Comput. Intell. Intell. Informatics, 2013

Predictability Analysis of Aperiodic and Periodic Model for Long-Term Human Mobility Using Ambient Sensors.

Danaipat Sodkomkham, Roberto Sebastian Legaspi, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao

Proceedings of the Mining, Modeling, and Recommending 'Things' in Social Media, 2013

Helping Students Manage Personalized Learning Scenarios.

Paul Salvador Inventado, Roberto Sebastian Legaspi, Masayuki Numao

Proceedings of the 6th International Conference on Educational Data Mining, 2013

Modeling Affect in Student-driven Learning Scenarios.

Paul Salvador Inventado, Roberto Sebastian Legaspi, Rafael Cabredo, Masayuki Numao

Proceedings of the 6th International Conference on Educational Data Mining, 2013

An architecture for identifying and using effective learning behavior to help students manage learning.

Paul Salvador Inventado, Roberto Sebastian Legaspi, Koichi Moriyama, Masayuki Numao, Jeanine DeFalco, Ryan S. Baker

Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

Identification of Effective Learning Behaviors.

Paul Salvador Inventado, Roberto Sebastian Legaspi, Rafael Cabredo, Koichi Moriyama, Ken-ichi Fukui, Satoshi Kurihara, Masayuki Numao

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

Towards the Design of Affective Survival Horror Games: An Investigation on Player Affect.

Vanus Vachiratamporn, Roberto Sebastian Legaspi, Koichi Moriyama, Masayuki Numao

Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013

2012

On Modelling Emotional Responses to Rhythm Features.

Jocelynn Cu, Rafael Cabredo, Roberto Sebastian Legaspi, Merlin Teodosia C. Suarez

Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

Towards Providing Music for Academic and Leisurely Activities of Computer Users.

Roman Joseph Aquino, Joshua Rafael Battad, Charlene Frances Ngo, Gemilene Uy, Rhia Trogo, Roberto Sebastian Legaspi, Merlin Teodosia C. Suarez

Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

An Emotion Model for Music Using Brain Waves.

Rafael Cabredo, Roberto Sebastian Legaspi, Paul Salvador Inventado, Masayuki Numao

Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

2011

Predicting Levels of Rapport in Dyadic Interactions through Automatic Detection of Posture and Posture Congruence.

Juan Lorenzo Hagad, Roberto Sebastian Legaspi, Masayuki Numao, Merlin Suarez

Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Exploring Melodic Motif to Support an Affect-Based Music Compositional Intelligence.

Roberto Sebastian Legaspi, Akinobu Ueda, Rafael Cabredo, Takayuki Nishikawa, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao

Proceedings of the Third International Conference on Knowledge and Systems Engineering, 2011

Observatory: A Tool for Recording, Annotating and Reviewing Emotion-Related Data.

Paul Salvador Inventado, Roberto Sebastian Legaspi, Masayuki Numao, Merlin Suarez

Proceedings of the Third International Conference on Knowledge and Systems Engineering, 2011

Identifying Emotion Segments in Music by Discovering Motifs in Physiological Data.

Rafael Cabredo, Roberto Sebastian Legaspi, Masayuki Numao

Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Investigating the Transitions between Learning and Non-learning Activities as Students Learn Online.

Paul Salvador Inventado, Roberto Sebastian Legaspi, Merlin Suarez, Masayuki Numao

Proceedings of the 4th International Conference on Educational Data Mining, 2011

2010

Addressing the problems of data-centric physiology-affect relations modeling.

Roberto Sebastian Legaspi, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao, Merlin Suarez

Proceedings of the 15th International Conference on Intelligent User Interfaces, 2010

2009

Constructive Adaptive User Interfaces Based on Brain Waves.

Masayuki Numao, Takayuki Nishikawa, Toshihito Sugimoto, Satoshi Kurihara, Roberto Sebastian Legaspi

Proceedings of the Human-Computer Interaction. Novel Interaction Methods and Techniques, 2009

2008

Modelling affective-based music compositional intelligence with the aid of ANS analyses.

Toshihito Sugimoto, Roberto Sebastian Legaspi, Akihiro Ota, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao

Knowl. Based Syst., 2008

Cluster-based predictive modeling to improve pedagogic reasoning.

Roberto Sebastian Legaspi, Raymund Sison, Ken-ichi Fukui, Masayuki Numao

Comput. Hum. Behav., 2008

2007

Music compositional intelligence with an affective flavor.

Roberto Sebastian Legaspi, Yuya Hashimoto, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao

Proceedings of the 12th International Conference on Intelligent User Interfaces, 2007

2006

An Emotion-Driven Musical Piece Generator for a Constructive Adaptive User Interface.

Roberto Sebastian Legaspi, Yuya Hashimoto, Masayuki Numao

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

2005

Predicting High-level Student Responses Using Conceptual Clustering.

Roberto Sebastian Legaspi, Raymund Sison, Ken-ichi Fukui, Masayuki Numao

Proceedings of the Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences, 2005

2004

MSIP: Agents Embodying a Category-Based Learning Process for the ITS Tutor to Self-improve Its Instructional Plans.

Roberto Sebastian Legaspi, Raymund Sison, Masayuki Numao

Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

A Category-Based Self-Improving Planning Module.

Roberto Sebastian Legaspi, Raymund Sison, Masayuki Numao

Proceedings of the Intelligent Tutoring Systems, 7th International Conference, 2004

Self-Improving Instructional Plans on the Level of Student Categories.

Roberto Sebastian Legaspi, Raymund Sison, Masayuki Numao

Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2004

2002

A Machine Learning Framework for an Expert Tutor Construction.

Roberto Sebastian Legaspi, Raymund Sison

Proceedings of the International Conference on Computers in Education, 2002