Publication

Wang, K., He, R., Wang, S., Liu, L., & Yamauchi, T. (2022). The Efficient-CapsNet model for facial expression recognition. Applied Intelligence, 1-14.

*Razavi, M., Janfaza, V., Yamauchi, T., *Leontyev, A., #Longmire-Monford, S., & Orr, J. (2022). OpenSync: An open-source platform for synchronizing multiple measures in neuroscience experiments. Journal of Neuroscience Methods, 369, 109458.

*Leontyev, A., & Yamauchi, T. (2021). Discerning Mouse Trajectory Features with the Drift Diffusion Model. Cognitive Science, 45(10), e13046.

Chan, A., Quek, F., Panchal, H., Howell, J., Yamauchi, T., & Seo, J. H. (2021). The Effect of Co-Verbal Remote Touch on Electrodermal Activity and Emotional Response in Dyadic Discourse. Sensors, 21(1), 168. https://doi.org/10.3390/s21010168 

*Leontyev, A., & Yamauchi, T. (2019). Mouse movement measures enhance the stop-signal task in adult ADHD assessment. PloS one, 14(11). https://doi.org/10.1371/journal.pone.0225437

Yamauchi, T., Seo, J. H. & Sungkajun, A. (2018). Interactive Plants: Multisensory Visual-Tactile Interaction Enhances Emotional Experience. Mathematics, 6, 225. doi:10.3390/math6110225

Yamauchi, T. (2018). Modeling Mindsets with Kalman Filter, Mathematics, 6, 205. doi:10.3390/math6100205

*Leontyev, A., #Sun, S., #Wolfe, M., & Yamauchi, T. (2018). Augmented Go/No-Go Task: Mouse Cursor Motion Measures Improve ADHD Symptom Assessment in Healthy College Students. Frontiers in Psychology, 9, 496 https://doi.org/10.3389/fpsyg.2018.00496. 

Yamauchi, T. & *Xiao, K. (2018). Reading emotion from mouse cursor motions: Affective computing approach. Cognitive Science, 42, 771-819. DOI: 10.1111/cogs.12557

Yamauchi, T., *Leontyev, T., & #Wolfe, M. (2017). Choice Reaching Trajectory Analysis as Essential Behavioral Measures for Psy¬chological Science. Insights in Psychology 1:4.1-4. http://oprscience.com/wp-content/uploads/2016/07/IIP-17-03-V1.pdf

*Xiao, K, & Yamauchi, T (2017) The role of attention in subliminal semantic processing: A mouse tracking study. PLoS ONE 12(6): e0178740. https://doi.org/10.1371/journal.pone.0178740

*Bowman, C. & Yamauchi, T. (2017). Processing emotions in sounds: Cross-domain aftereffects of speech utterances and musical sounds. Cognition and Emotion, 31 (8), 1610-1626. DOI:10.1080/02699931.2016.1255588 

*Bowman, C. & Yamauchi, T. (2016). Perceiving categories of emotion in sound: The role of timbre. Psychomusicology: Music, Mind, and Brain. 26 (1), 15-25.

Yamauchi, T., Seo, J. H., #Jett, N., #Parks, G. & *Bowman, C. (2015). Gender differences in mouse and cursor movements. International Journal of Human Computer Interaction, 31, 911-921.

*Xiao, K. & Yamauchi, T. (2015) Subliminal semantic priming in near absence of attention: a Cursor motion study. Consciousness and Cognition, 38, 88-98.

*Xiao, K., & Yamauchi, T. (2014). Semantic Priming Revealed by Mouse Movement Trajectories. Consciousness and Cognition, 27, 42-52. DOI: 10.1016/j.concog.2014.04.004

*Jung, W., & Yamauchi, T. (2011). Symmetry detection of 3D objects. Journal of Cognitive Science, 12 (1), 33-66. 

Yamauchi, T. & Kusumi, T. (2010). Ontology Engineering and Human Concepts. Cognitive Studies, 17 (1), 1-12.

*Yu, N.. Yamauchi, T., Yang, H, Chen, Y. & Gutierrez-Osuna, R., (2010). Feature selection for inductive generalization.  Cognitive Science, 34, 1574-1593. ISSN: 1551-6709 DOI: 10.1111/j.1551-6709.2010.01122.x

Yamauchi, T. (2009). Finding abstract commonalties of category members. Journal of Experimental and Theoretical Artificial Intelligence. 21 (3), 155-180. ISSN 0952–813X; DOI: 10.1080/09528130802113299

Yamauchi, T. (2008) Linking syntax and inductive reasoning: Categorical labeling and generic noun phrases. Psychologia.51, 1-13.

Yamauchi, T. & *Yu, N. (2008). Category labels versus feature labels: Category labels polarize inferential predictions. Memory & Cognition. 36 (3), 544-553. ISSN: 0090-502X; DOI: 10.3758/MC.36.3.544 

*Yu, N. Y., Yamauchi, T., & Schumacher, J. (2008). Rediscovering symbols: The role of category labels in similarity judgment. Journal of Cognitive Science, 9, 89-100.

*Chen, H. C., Yamauchi, T., Tamaoka, K., & Vaid, J. (2007). Semantic and phonological priming effects depend on script type: Word recognition in Japanese. Psychonomic Bulletin & Review, 14 (1), 64-69.

Yamauchi, T., Kohn, N., & Yu, N. Y. (2007). Tracking mouse movement in feature inference: Category labels are different from feature labels. Memory & Cognition, 35, 852-863. ISSN: 0090-502X   

Yamauchi, T., Cooper, L. A., Hilton, H. J., Szerlip, N. J., Chen, H. C, & Barnhardt, T. M. (2006). Priming for symmetry detection of three-dimensional figures: Central axes can prime symmetry detection separately from local components. Visual Cognition, 13, 363-397.

Yamauchi, T. (2005). Labeling bias and categorical induction: Generative aspects of category information. Journal of Experimental Psychology: Learning, Memory and Cognition, 31, 538-553. ISSN: 0278-7393; DOI: 10.1037/0278-7393.31.3.538

VanLehn, K., Siler, S., Murray, C., Yamauchi, T., & Baggett, W. B. (2003). Why do only some events cause learning during human tutoring? Cognition and Instruction, 21 (3), 209-249. 

ISSN: 0737-0008; URL: http://www.jstor.org/stable/3233810

Yamauchi, T., Love, B. C., & Markman, A. B. (2002).  Learning nonlinearly separable categories by inference and classification.  Journal of Experimental Psychology: Learning, Memory & Cognition, 28 (3), 585-593. 

Yamauchi, T. (2002). The self-organizing consciousness entails additional intervening subsystems.  Behavioral and Brain Sciences, 25, 360.

Chi, M. T., Siler, S., Jeong, H., Yamauchi, T., & Hauseman, R. (2001). Learning from human tutoring, Cognitive Science, 25, 471-533. ISSN: 1551-6709; DOI: 10.1037//0278-7393.26.3.776

Yamauchi, T., & Markman, A. B. (2000). Learning categories composed of varying instances: The effect of classification, inference and structural alignment. Memory & Cognition. 28(1), 64-78. 

Yamauchi, T., & Markman, A. B. (2000). Inference using categories. Journal of Experimental Psychology: Learning, Memory and Cognition, 26(3), 776-795. ISSN: 0278-7393; DOI: 10.1207/s15516709cog2504_1

Yamauchi, T. (1999). The Twenty-first Annual Conference of the Cognitive Science Society (1999) Cognitive Studies 6(4), 453-454. 

Yamauchi, T., & Markman, A.B. (1998). Category learning by inference and classification. Journal of Memory and Language, 39, 124-148. ISSN: 0749-596X; DOI: 10.1006/jmla.1998.2566

Markman, A. B., & Yamauchi, T. (1998). Boundary conditions and the need for multiple forms of representation. Behavioral and Brain Sciences, 21(4), 477-478. 

Articles in Peer-Reviewed Conferences (Computer Science & Human Computer Interaction)

Note: Acceptance rates and conference rankings are included whenever available.

Chan, A., Quek, F., Yamauchi, T., & Seo, J. H. (2021, October). Co-Verbal Touch: Enriching Video Telecommunications with Remote Touch Technology. In Proceedings of the 2021 International Conference on Multimodal Interaction (pp. 186-194). (oral presentation, acceptance rate: 14%)

Chan, A., Zarei, N., Yamauchi, T., Seo, J., & Quek, F. (2019). Touch Media: Investigating the Effects of Remote Touch on Music-based Emotion Elicitation. 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE Computer Society.

*Leontyev, A., Yamauchi, T., & Razavi, M. (2019). Machine Learning Stop Signal Test (ML-SST): ML-based Mouse Tracking Enhances Adult ADHD Diagnosis. 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW). IEEE Computer Society.

Yamauchi, T., *Leontyev, A., & *Razavi, M. (2019). Assessing Emotion by Mouse-cursor Tracking: Theoretical and Empirical Rationales. 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE Computer Society.

Akleman, E., Franchi, S., Kaleci, D., Mandell, L., Yamauchi, T., & Akleman, D. (2015). A Theoretical Framework to Represent Narrative Structures for Visual Storytelling. In Proceedings of Bridges 2015: Mathematics, Music, Art, Architecture, Culture (pp. 129-136). Tessellations Publishing.

Yamauchi, T., *Bowman, C., *Xiao, K. Mueen, A. (2015). Dynamic time warping: A single dry electrode EEG study in a self-paced learning task. 2015 International Conference on Affective Computing and Intelligent Interaction (ACII). pp. 56-62. IEEE Computer Society. (oral presentation, acceptance rate: 28%)

*Bowman, C., & Yamauchi, T. (2015). Emotion, voices and musical instruments: Repeated exposure to angry vocal sounds makes instrumental sounds angrier. 2015 International Conference on Affective Computing and Intelligent Interaction (ACII). pp. 670-675. IEEE Computer Society. (acceptance rate: 55%)

Yamauchi, T., & *Bowman, C. (2014). Mining cursor motions to find the gender, experience and feelings of computer users. IEEE International Conference on Data Mining (ICDM 2014): Workshop on Domain Driven Data Mining, 221-230, IEEE Computer Society. DOI: 10.1109/ICDMW.2014.131

Yamauchi, T. (2013). Mouse Trajectories and State Anxiety: Feature Selection with Random Forest. Proceedings of the 2013 Humaine Association Conference on the Affective Computing and Intelligent Interaction (ACII 2013).pp. 389-404. IEEExplore, doi: 10.1109/ACII.2013.72. (oral presentation, acceptance rate, 31%)

selected as the finalists for the “Best of ACII” (approximately 10 out of 175 submissions).

Yamauchi, T., Ohno, T., Nakatani, M., Kato, Y., & Markman, A. B. (2012). Psychology of user experience in a collaborative video-conference system. In J. Riedl, G. Mark, & J. Grudin (Eds.), Proceedings of the 2012 ACM Conference on Computer Supported Cooperative Work (CSCW 2012), (pp. 187-196). New York, NY: ACM Press. ISBN: 978-1-4503-1086-4; DOI:10.1145/2145204.2145234 (acceptance rate: 20%)

Yamauchi, T. (2007). The Semantic Web and human inference: A lesson from cognitive science. (ISWC 2007), K. Aberer et al. (Eds.). Lecture Notes in Computer Science. 4825, pp. 609-622, Berlin: Springer (acceptance rate, 25%)

selected as one of “Spotlight Papers” (approximately 17 out of 255 submissions).

*Yu, Y., Yamauchi, T., & Choe, Y. (2004). Explaining low-level brightness-contrast illusions using disinhibition. In A. J. Ijspeert, D. Mange, and N. Shojiro (Eds.), Biologically Inspired Approaches to Advanced Information Technology, Lecture Notes in Computer Science, 3141, 166-175, New York: Springer. 

Love, B. C., Markman, A. B., & Yamauchi, T. (2000). Modeling inference and classification learning.  The National Conference on Artificial Intelligence (AAAI-2000), 136-141. (acceptance rate, 33%)

Articles in Peer-Reviewed Workshops (Computer Science & Human Computer Interaction)

Yamauchi, T., & *Bowman, C. (2014). Mining cursor motions to find the gender, experience and feelings of computer users. IEEE International Conference on Data Mining (ICDM 2014): Workshop on Domain Driven Data Mining, 221-230, IEEE Computer Society. DOI: 10.1109/ICDMW.2014.131

Yamauchi, T. & *Yu, N. (2007). Finding Semantic Similarity in a Biological Domain: An Insight from a Human-Centered Approach. ISWC'07+ASWC'07 Workshop on Ontology Matching (OM-2007). (pp. 286-290). 

Articles in Peer-Reviewed Conferences (Cognitive Science & Psychology)

Note: Acceptance rates and conference rankings are included whenever available.

Yamauhi, T., *Leontyev, A., & *Razavi, M. (2019). Mouse Tracking Measures Reveal Cognitive Conflicts Better than Response Time and Accuracy Measures. In A.K. Goel, C.M. Seifert, & C. Freksa (Eds.), Proceedings of the 41st Annual Conference of the Cognitive Science Society (pp. 3150-3156). Montreal, QB: Cognitive Science Society. (acceptance rate: 63%)

* Xiao, K., Yamauchi, T., & *Bowman, C. (2015). Assessing masked semantic priming: Cursor trajectory versus response Time. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, & P. P. Maglio (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society (pp. 2691-2696). Austin, TX: Cognitive Science Society. (acceptance rate: 71%)

Yamauchi, T., Seo, J. H., Choe, Y., *Bowman, C., & *Xiao, K. (2015). Assessing emotions by cursor motions: An affective computing approach. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, & P. P. Maglio (Eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society (pp. 2721-2726). Austin, TX: Cognitive Science Society. (acceptance rate: 28%)

Yamauchi, T., Ohno, T., Nakatani, M., Kato, Y., & Markman, A. B. (2012). Mutual affects in computer-mediated collaborative learning: Positive feelings shared by collaborators enhance system evaluations. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of 34th Annual Conference of the Cognitive Science Society (pp. 1179-1184), Austin, TX: Cognitive Science Society. (acceptance rate: 38%)

#Lara, F., #Hahn, A., *Yu, N-Y., & Yamauchi, T. (2012). Arbitrary labels can change similarity judgments of human faces. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of 34th Annual Conference of the Cognitive Science Society (pp. 1852-1857), Austin, TX: Cognitive Science Society. 

#Byrd, M., *Bowman, C., & Yamauchi, T. (2012). Cooing, crying, and babbling: A link between music and prelinguistic communication. In N. Miyake, D.,  Peebles, & R. P. Cooper (Eds.), Proceedings of 34th Annual Conference of the Cognitive Science Society (pp. 1392-1397), Austin, TX: Cognitive Science Society.

#Hahn, A., Yamauchi, T., & Yu, N. Y. (2011). Influence of implicit beliefs and visual working memory on label use. In L. Carlson, C. Hoelscher, & T.F. Shipley (Eds.), Proceedings of 33th Annual Conference of the Cognitive Science Society (pp. 2389-2394), Austin, TX: Cognitive Science Society.

*Yu, N. Y. & Yamauchi, T. (2011). Are category labels features or naive assumptions? In L. Carlson, C. Hoelscher, & T.F. Shipley (Eds.), Proceedings of 33th Annual Conference of the Cognitive Science Society (pp. 813-818), Austin, TX: Cognitive Science Society.

Yamauchi, T. (2009). Categorical knowledge and commonsense reasoning. N. Taatgen & H. van Rijin (Eds.), The Proceedings of 31th Annual Meetings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum. (pp. 124-129)

Yamauchi, T. (2009). Similarity and categorization: The reversed association test. N. Taatgen & H. van Rijin (Eds.), The Proceedings of 31th Annual Meetings of the Cognitive Science Society. Mahwah, NJ: Lawrence Erlbaum.(pp. 1870-1875). (acceptance rate 23%)

*Yu, N. Y., Yamauchi, T., & Gutierrez-Osuna, R. (2009). Similarity perception of visual objects: A machine-learning approach. The Proceedings of International Conference on Asia Pacific Psychology (pp.224-226), Seoul, Korea: Korean Psychological Association & Japanese Psychological Association.

*Yu, N. Y., & Yamauchi, T. (2009). Category labels, background knowledge, and similarity judgment. The Proceedings of International Conference on Asia Pacific Psychology (pp.56-57), Seoul, Korea: Korean Psychological Association & Japanese Psychological Association.

*Yu, N. Y., Yamauchi, T., & Schumacher, J. (2008). Category labels highlight feature interrelatedness in similarity judgment. The Proceedings of 30th Annual Meetings of the Cognitive Science Society, (pp. 782-787), Mahwah, NJ: Lawrence Erlbaum.

*Yu, N. Y., Yamauchi, T., Yang, H. -F., Chen, Y. -L., & Gutierrez-Osuna, R. (2008). A computational method to find salient features. The Proceedings of 6th International Conference of Cognitive Science. Seoul, Korea: Cognitive Science Society in the Asian-Pacific Region.  pp. 283-284.

*Yu, N. Y., Yamauchi, T., & Schumacher, J. (2008). Category labels in similarity judgment. The Proceedings of 6th Conference of International Cognitive Science Society. Seoul, Korea : Cognitive Science Society in the Asian-Pacific Region. pp. 272-274.

*Kohn, N., & Yamauchi, T. (2005). Feature inference: Tracking mouse movement. In B. G. Bara, L. Barsalou, & M. Bucciarelli (Eds.), the Proceedings of the 27th Annual Meeting of the Cognitive Science Society (pp. 1172-1177), Mahwah, NJ: Lawrence Erlbaum.

 (accepted for an oral presentation, acceptance rate 26%)

*Jung, W., Yamauchi, T., & Schumacher, J. (2008). Creating realistic 3D stimuli for behavioral studies. The Proceedings of 6th Conference of International Cognitive Science Society. Seoul, Korea : Cognitive Science Society in the Asian-Pacific Region. pp. 528-529.

Yamauchi, T., & Yu, N. Y. (2005). Categories and feature inferences: Category membership and a reasoning bias. In B. G. Bara, L. Barsalou, & M. Bucciarelli (Eds.), the Proceedings of the 27th Annual Meeting of the Cognitive Science Society (pp. 2404-2409), Mahwah, NJ: Lawrence Erlbaum. (acceptance rate 26%)

Matsuka, T., Yamauchi, T., Hanson, C., & Hanson, S. (2005). Representing categorical knowledge: A fMRI study. In B. G. Bara, L. Barsalou, & M. Bucciarelli (Eds.), the Proceedings of the 27th Annual Meeting of the Cognitive Science Society (pp. 1425-1430), Mahwah, NJ: Lawrence Erlbaum. 

Yamauchi, T. (2003). Dual processes in the acquisition of categorical concepts. In R. Altman &  D. Kirsh (Eds.), The Proceedings of the 25th Annual Meeting of the Cognitive Science Society, (pp. 1259-1264). Mahwah, NJ: Lawrence Erlbaum. 

Yamauchi, T., Markman, A. B. (2000). Making inferences and classifications using categories that are not linearly separable. In J. D. Gleitman & A. K. Joshi (Eds.), The Proceedings of the 22nd Annual Conference of the Cognitive Science Society, (pp.565-570). Mahwah, NJ: Lawrence Erlbaum.

Yamauchi, T., & Markman, A. B. (1995). Effects of category learning on categorization — An analysis of inference-based and classification-based learning.  In J. D. Moore & J. F. Lehman (Eds.), The Proceedings of the 17th Annual Meeting of the Cognitive Science Society, (pp.786-790). Mahwah, NJ: Lawrence Erlbaum.

Book Chapters

Yamauchi, T., & McGuire, K. (2003).  What does labeling do to stereotyping? Beyond prototypes and cognitive economy.  In F. Salili & R. Hoosain (Eds.), Teaching, Learning and Motivation in a Multicultural Context. Volume 3: Research in Multicultural Education and International perspectives.  (pp. 315-344) Greenwich, CT: Information Age.

Markman, A. B., Yamauchi, T., & Makin, V. (1997). The creation of new concepts: A multifaceted approach to category learning. In T. B. Ward, S. M. Smith, & J. Vaid. (Eds.), Conceptual structures and processes: Emergence, discovery, and change, (pp.179-208) Washington, DC: American Psychological Association.

* graduate student, # undergraduate student