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ORCIDRoberto Legaspi
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- affiliation: KDDI Research Inc., Japan
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2020 – today
- 2024
[j11]Naoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Atsunori Minamikawa, Thomas Plötz, Sonia Chernova:
Sensor event sequence prediction for proactive smart home: A GPT2-based autoregressive language model approach. J. Ambient Intell. Smart Environ. 16(3): 275-308 (2024)- [j10]Roberto Legaspi, Wenzhen Xu
, Tatsuya Konishi, Shinya Wada, Nao Kobayashi, Yasushi Naruse, Yuichi Ishikawa:
The sense of agency in human-AI interactions. Knowl. Based Syst. 286: 111298 (2024) - [c47]Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang:
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. ICLR 2024 - [c46]Akihiro Sasaki, Eriko Sugisaki, Roberto Legaspi, Yasushi Naruse, Nao Kobayashi:
Development of a Prototype AI System for Real-time Emotion Prediction and Mental State Adjustment. PERSUASIVE (Adjunct) 2024: 105-106 - [c45]Ryunosuke Togawa, Roberto Legaspi, Yasutaka Nishimura, Akihiro Miyamamoto, Bo Yang, Eriko Sugisaki, Kazushi Ikeda, Nao Kobayashi, Yasushi Naruse:
Estimating Sense of Agency from Behavioral Logs: Toward a Just-in-Time Adaptive Intervention System. PERSUASIVE 2024: 273-286 - [c44]Donghuo Zeng, Roberto Sebastian Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang:
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome. PERSUASIVE 2024: 287-300 - [i4]Donghuo Zeng, Roberto Legaspi, Yuewen Sun, Xinshuai Dong, Kazushi Ikeda, Peter Spirtes, Kun Zhang:
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome. CoRR abs/2404.13792 (2024) - [i3]Kazuaki Furumai, Roberto Legaspi, Julio Vizcarra, Yudai Yamazaki, Yasutaka Nishimura, Sina J. Semnani, Kazushi Ikeda, Weiyan Shi, Monica S. Lam:
Zero-shot Persuasive Chatbots with LLM-Generated Strategies and Information Retrieval. CoRR abs/2407.03585 (2024) - [i2]Xinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang:
On the Parameter Identifiability of Partially Observed Linear Causal Models. CoRR abs/2407.16975 (2024) - 2023
- [j9]Yuichi Ishikawa, Nao Kobayashi, Roberto Legaspi, Kae Nakajima, Yasushi Naruse:
Physiological Responses to Movies Predict Marital Satisfaction. IEEE Access 11: 94918-94936 (2023) - [c43]Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova:
ALLFA: Active Learning Through Label and Feature Augmentation. ICMLA 2023: 158-165 - [c42]Naoto Takeda, Roberto Legaspi, Yasutaka Nishimura, Kazushi Ikeda, Atsunori Minamikawa, Thomas Plötz, Sonia Chernova:
Sensor Event Sequence Prediction for Proactive Smart Home Support Using Autoregressive Language Model. IE 2023: 1-8 - [c41]Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova:
Extraction of Important Temporal Order for eXplainable AI on Time-series data. PerCom Workshops 2023: 659-664 - [c40]Wenzhen Xu, Roberto Legaspi, Yuichi Ishikawa:
Does the Association Between Persuasive Strategies and Personality Types Vary Across Regions. PERSUASIVE 2023: 359-368 - [c39]Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu:
Time-delayed Multivariate Time Series Predictions. SDM 2023: 325-333 - [c38]Akihiro Kobayashi, Yuichi Ishikawa, Kazushi Ikeda, Daisuke Kamisaka, Roberto Legaspi:
Composing Groups in Collaborative Learning by Pair Personality Differences. UMAP 2023: 116-123 - [i1]Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang:
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. CoRR abs/2312.11001 (2023) - 2022
- [j8]Yuichi Ishikawa, Roberto Legaspi, Kei Yonekawa, Yugo Nakamura, Shigemi Ishida, Tsunenori Mine, Yutaka Arakawa:
Unsupervised Learning of Domain-Independent User Attributes. IEEE Access 10: 119649-119665 (2022) - [c37]Ryoichi Kojima, Roberto Legaspi, Shinya Wada:
Trip Destination Prediction by Cross-City Exploratory Data Analysis Approach in People Flow Data. IEEE Big Data 2022: 6547-6552 - [c36]Chuizheng Meng, Hao Niu, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu:
Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data. IJCAI 2022: 2189-2195 - [c35]Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu:
Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. PAKDD (1) 2022: 68-80 - [c34]Wenzhen Xu, Yuichi Ishikawa, Roberto Legaspi:
The Utility of Personality Types for Personalizing Persuasion. PERSUASIVE 2022: 240-254 - [c33]Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada, Yuichi Ishikawa:
Multidimensional Analysis of Sense of Agency During Goal Pursuit. UMAP 2022: 34-47 - 2021
- [j7]Ryoichi Kojima, Roberto Legaspi, Toshiaki Murofushi:
Fuzzy Clustering in Assortative and Disassortative Networks. J. Adv. Comput. Intell. Intell. Informatics 25(6): 989-999 (2021) - [c32]Ryoichi Kojima, Roberto Legaspi, Yutaro Mishima, Shinya Wada:
Classical machine learning and deep neural network ensemble model for GPS-based activity recognition. UbiComp/ISWC Adjunct 2021: 369-373 - [c31]Naoto Takeda, Daisuke Kamisaka, Roberto Legaspi, Yutaro Mishima, Atsunori Minamikawa:
Event Detection and Event-Relevant Tweet Extraction with Human Mobility. MobiQuitous 2021: 3-23 - [c30]Roberto Legaspi, Wenzhen Xu, Tatsuya Konishi, Shinya Wada:
Positing a Sense of Agency-Aware Persuasive AI: Its Theoretical and Computational Frameworks. PERSUASIVE 2021: 3-18 - [c29]Akihiro Kobayashi, Yuichi Ishikawa, Roberto Sebastian Legaspi:
Psychographic Matching between a Call Center Agent and a Customer. UMAP 2021: 229-234
2010 – 2019
- 2015
- [j6]Vanus Vachiratamporn, Roberto Sebastian Legaspi, Koichi Moriyama, Ken-ichi Fukui, Masayuki Numao:
An analysis of player affect transitions in survival horror games. J. Multimodal User Interfaces 9(1): 43-54 (2015) - [c28]Courtney Ngo, Solomon See, Roberto Sebastian Legaspi:
Improving Inertial Navigation Systems with Pedestrian Locomotion Classifiers. PECCS 2015: 202-208 - [c27]Rungsiman Nararatwong, Roberto Sebastian Legaspi, Hitoshi Okada, Hiroshi Maruyama:
A Novel Mental State Model of Social Perception of Brand Crisis from an Entertainment Perspective. SBP 2015: 153-162 - 2014
- [j5]Paul Salvador Inventado, Roberto Sebastian Legaspi, Koichi Moriyama, Ken-ichi Fukui, Masayuki Numao:
Sidekick: A Tool for Helping Students Manage Behavior in Self-initiated Learning Scenarios. Int. J. Distance Educ. Technol. 12(4): 32-54 (2014) - [c26]Roberto Sebastian Legaspi, Hiroshi Maruyama, Rungsiman Nararatwong, Hitoshi Okada:
Perception-Based Resilience: Accounting for the Impact of Human Perception on Resilience Thinking. BDCloud 2014: 547-554 - 2013
- [j4]Rafael Cabredo, Roberto Sebastian Legaspi, Paul Salvador Inventado, Masayuki Numao:
Discovering Emotion-Inducing Music Features Using EEG Signals. J. Adv. Comput. Intell. Intell. Informatics 17(3): 362-370 (2013) - [c25]Vanus Vachiratamporn, Roberto Sebastian Legaspi, Koichi Moriyama, Masayuki Numao:
Towards the Design of Affective Survival Horror Games: An Investigation on Player Affect. ACII 2013: 576-581 - [c24]Paul Salvador Inventado, Roberto Sebastian Legaspi, Rafael Cabredo, Koichi Moriyama, Ken-ichi Fukui, Satoshi Kurihara, Masayuki Numao:
Identification of Effective Learning Behaviors. AIED 2013: 670-673 - [c23]Paul Salvador Inventado, Roberto Sebastian Legaspi, Koichi Moriyama, Masayuki Numao, Jeanine DeFalco, Ryan S. Baker:
An architecture for identifying and using effective learning behavior to help students manage learning. AIED Workshops 2013 - [c22]Paul Salvador Inventado, Roberto Sebastian Legaspi, Rafael Cabredo, Masayuki Numao:
Modeling Affect in Student-driven Learning Scenarios. EDM 2013: 244-247 - [c21]Paul Salvador Inventado, Roberto Sebastian Legaspi, Masayuki Numao:
Helping Students Manage Personalized Learning Scenarios. EDM 2013: 384-386 - [c20]Danaipat Sodkomkham, Roberto Sebastian Legaspi, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao:
Predictability Analysis of Aperiodic and Periodic Model for Long-Term Human Mobility Using Ambient Sensors. MSM/MUSE 2013: 131-149 - 2012
- [c19]Rafael Cabredo, Roberto Sebastian Legaspi, Paul Salvador Inventado, Masayuki Numao:
An Emotion Model for Music Using Brain Waves. ISMIR 2012: 265-270 - [c18]Jocelynn Cu, Rafael Cabredo, Roberto Sebastian Legaspi, Merlin Teodosia C. Suarez:
On Modelling Emotional Responses to Rhythm Features. PRICAI 2012: 857-860 - [c17]Roman Joseph Aquino, Joshua Rafael Battad, Charlene Frances Ngo, Gemilene Uy, Rhia Trogo, Roberto Sebastian Legaspi, Merlin Teodosia C. Suarez:
Towards Providing Music for Academic and Leisurely Activities of Computer Users. PRICAI 2012: 891-894 - 2011
- [c16]Paul Salvador Inventado, Roberto Sebastian Legaspi, Merlin Suarez, Masayuki Numao:
Investigating the Transitions between Learning and Non-learning Activities as Students Learn Online. EDM 2011: 367-368 - [c15]Rafael Cabredo, Roberto Sebastian Legaspi, Masayuki Numao:
Identifying Emotion Segments in Music by Discovering Motifs in Physiological Data. ISMIR 2011: 753-758 - [c14]Roberto Sebastian Legaspi, Akinobu Ueda, Rafael Cabredo, Takayuki Nishikawa, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao:
Exploring Melodic Motif to Support an Affect-Based Music Compositional Intelligence. KSE 2011: 219-225 - [c13]Paul Salvador Inventado, Roberto Sebastian Legaspi, Masayuki Numao, Merlin Suarez:
Observatory: A Tool for Recording, Annotating and Reviewing Emotion-Related Data. KSE 2011: 261-265 - [c12]Juan Lorenzo Hagad, Roberto Sebastian Legaspi, Masayuki Numao, Merlin Suarez:
Predicting Levels of Rapport in Dyadic Interactions through Automatic Detection of Posture and Posture Congruence. SocialCom/PASSAT 2011: 613-616 - 2010
- [c11]Roberto Sebastian Legaspi, Ken-ichi Fukui, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao, Merlin Suarez:
Addressing the problems of data-centric physiology-affect relations modeling. IUI 2010: 21-30
2000 – 2009
- 2009
- [c10]Masayuki Numao, Takayuki Nishikawa, Toshihito Sugimoto, Satoshi Kurihara, Roberto Sebastian Legaspi:
Constructive Adaptive User Interfaces Based on Brain Waves. HCI (2) 2009: 596-605 - 2008
- [j3]Roberto Sebastian Legaspi, Raymund Sison, Ken-ichi Fukui, Masayuki Numao:
Cluster-based predictive modeling to improve pedagogic reasoning. Comput. Hum. Behav. 24(2): 153-172 (2008) - [j2]Toshihito Sugimoto, Roberto Sebastian Legaspi, Akihiro Ota, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao:
Modelling affective-based music compositional intelligence with the aid of ANS analyses. Knowl. Based Syst. 21(3): 200-208 (2008) - 2007
- [c9]Roberto Sebastian Legaspi, Yuya Hashimoto, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao:
Music compositional intelligence with an affective flavor. IUI 2007: 216-224 - [c8]Toshihito Sugimoto, Roberto Sebastian Legaspi, Akihiro Ota, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao:
Modelling Affective-based Music Compositional Intelligence with the Aid of ANS Analyses. SGAI Conf. 2007: 95-108 - 2006
- [j1]Roberto Legaspi, Raymund Sison, Masayuki Numao:
A Category-based Framework of a Self-improving Instructional Planner. Inf. Media Technol. 1(1): 482-490 (2006) - [c7]Roberto Sebastian Legaspi, Yuya Hashimoto, Masayuki Numao:
An Emotion-Driven Musical Piece Generator for a Constructive Adaptive User Interface. PRICAI 2006: 890-894 - 2005
- [c6]Roberto Sebastian Legaspi, Raymund Sison, Ken-ichi Fukui, Masayuki Numao:
A Cluster-based Predictive Modeling to Improve Pedagogic Reasoning. CELDA 2005: 199-206 - [c5]Roberto Sebastian Legaspi, Raymund Sison, Ken-ichi Fukui, Masayuki Numao:
Predicting High-level Student Responses Using Conceptual Clustering. ICCE 2005: 761-764 - 2004
- [c4]Roberto Sebastian Legaspi, Raymund Sison, Masayuki Numao:
Self-Improving Instructional Plans on the Level of Student Categories. ICALT 2004 - [c3]Roberto Sebastian Legaspi, Raymund Sison, Masayuki Numao:
A Category-Based Self-Improving Planning Module. Intelligent Tutoring Systems 2004: 554-563 - [c2]Roberto Sebastian Legaspi, Raymund Sison, Masayuki Numao:
MSIP: Agents Embodying a Category-Based Learning Process for the ITS Tutor to Self-improve Its Instructional Plans. PRICAI 2004: 114-123 - 2002
- [c1]Roberto Sebastian Legaspi, Raymund Sison:
A Machine Learning Framework for an Expert Tutor Construction. ICCE 2002: 670-674
Coauthor Index
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