| A Bayesian psychophysics model of sense of agency R Legaspi, T Toyoizumi Nature Communications 10 (1), 4250, 2019 | 76 | 2019 |
| Music compositional intelligence with an affective flavor R Legaspi, Y Hashimoto, K Moriyama, S Kurihara, M Numao Proceedings of the 12th international conference on Intelligent user …, 2007 | 72 | 2007 |
| Towards the design of affective survival horror games: An investigation on player affect V Vachiratamporn, R Legaspi, K Moriyama, M Numao 2013 Humaine Association Conference on Affective Computing and Intelligent …, 2013 | 46 | 2013 |
| An analysis of player affect transitions in survival horror games V Vachiratamporn, R Legaspi, K Moriyama, K Fukui, M Numao Journal on Multimodal User Interfaces 9, 43-54, 2015 | 44 | 2015 |
| Predicting student emotions resulting from appraisal of ITS feedback PS Inventado, R Legaspi, M Suarez, M Numao Research and Practice in Technology Enhanced Learning 6 (2), 107-133, 2011 | 39 | 2011 |
| Synthetic agency: sense of agency in artificial intelligence R Legaspi, Z He, T Toyoizumi Current Opinion in Behavioral Sciences 29, 84-90, 2019 | 32 | 2019 |
| Predicting levels of rapport in dyadic interactions through automatic detection of posture and posture congruence JL Hagad, R Legaspi, M Numao, M Suarez 2011 IEEE Third International Conference on Privacy, Security, Risk and …, 2011 | 32 | 2011 |
| An Emotion Model for Music Using Brain Waves. R Cabredo, RS Legaspi, PS Inventado, M Numao ISMIR, 265-270, 2012 | 30 | 2012 |
| General resilience: taxonomy and strategies H Maruyama, R Legaspi, K Minami, Y Yamagata 2014 International Conference and Utility Exhibition on Green Energy for …, 2014 | 27 | 2014 |
| Modelling affective-based music compositional intelligence with the aid of ANS analyses T Sugimoto, R Legaspi, A Ota, K Moriyama, S Kurihara, M Numao International Conference on Innovative Techniques and Applications of …, 2007 | 25 | 2007 |
| Discovering emotion-inducing music features using EEG signals R Cabredo, R Legaspi, PS Inventado, M Numao Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2013 | 18 | 2013 |
| An empathy learning problem for HSI: To be empathic, self-improving and ambient R Legaspi, S Kurihara, K Fukui, K Moriyama, M Numao 2008 Conference on Human System Interactions, 209-214, 2008 | 16 | 2008 |
| Student learning behavior in an unsupervised learning environment PS Inventado, R Legaspi, R Cabredo, M Numao Proceedings of the 20th international conference on computers in education …, 2012 | 14 | 2012 |
| Cluster-based predictive modeling to improve pedagogic reasoning R Legaspi, R Sison, K Fukui, M Numao Computers in Human Behavior 24 (2), 153-172, 2008 | 14 | 2008 |
| A category-based self-improving planning module R Legaspi, R Sison, M Numao International Conference on Intelligent Tutoring Systems, 554-563, 2004 | 12 | 2004 |
| Perception-based Resilience: Accounting for the impact of human perception on resilience thinking R Legaspi, H Maruyama, R Nararatwong, H Okada 2014 IEEE Fourth International Conference on Big Data and Cloud Computing …, 2014 | 10 | 2014 |
| Investigating transitions in affect and activities for online learning interventions PS Inventado, R Legaspi, M Suarez, M Numao Proceedings of the 19th International Conference on Computers in Education …, 2011 | 9 | 2011 |
| Observatory: A tool for recording, annotating and reviewing emotion-related data PS Inventado, R Legaspi, M Numao, M Suarez 2011 Third International Conference on Knowledge and Systems Engineering …, 2011 | 9 | 2011 |
| Identifying Emotion Segments in Music by Discovering Motifs in Physiological Data. R Cabredo, RS Legaspi, M Numao ISMIR, 753-758, 2011 | 8 | 2011 |
| Modeling the tutor using reinforcement learning RS Legaspi, RC Sison Proc. PCSC, 194-196, 2000 | 8 | 2000 |
Paul Salvador InventadoCalifornia State University Fullerton在 fullerton.edu 的电子邮件经过验证
