Yasuaki Sakamoto
ysakamot@stevens.edu
Assistant professor, Howe School of Technology Management
Stevens Institute of Technology, Hoboken, NJ
Interests

I study the thinking of individuals and crowds through behavioral experiments and computer simulations, and design and test ways of augmenting cognition through social computing. My work involves examining how connected and connecting thoughts influence behavior. There are excellent descriptions of my work on iRevolution and Psychology Today.
Education

Ph.D. in Cognitive Psychology from the University of Texas at Austin in 2005
B.A. in Psychological and Brain Sciences from Indiana University at Bloomington in 1999
Teaching

Howe School Research Colloquium Series: Spring 2012, Spring 2013
Social Media: Social network analytics (BIA658), Analyzing and leveraging social media websites (MIS669)
Statistics: Multivariate analysis (MGT718), Multivariate data analytics (BIA652), Statistical models (MGT620), Statistics (BT221)
Research Methods: Quantitative research methods (MGT719), Research colloquium series (MGT726), Design and analysis of experiments (MGT730), Experimental design (BIA654)
Cognitive Psychology: Psychology: brain, mind, behavior (HSS175)
Publications

Social Media
Li, H., & Sakamoto, Y. (forthcoming). Computing the veracity of information through crowds: A method for reducing the spread of false messages on social media. HICSS 48.
Ozturk, P., Li, H., & Sakamoto, Y. (forthcoming). Combating rumor spread on social media: The effectiveness of refutation and warning. HICSS 48.
Li, H., & Sakamoto, Y. (forthcoming). Social impacts in social media: An examination of perceived truthfulness and sharing of information. Computers in Human Behavior.
Sakamoto, Y., Li, H., & Tanaka, Y. (2014). Rumors on social media during emergencies. Howe School of Technology Management Research Paper Series Number 2014-37.
Li, H., Sakamoto, Y., Tanaka, Y., & Chen, R. (2014). The psychology behind people’s decision to forward disaster-related tweets. The 18th Pacific Asia Conference on Information Systems.
Chen, R., & Sakamoto, Y. (2014). Feelings and Perspective Matter: Sharing of Crisis Information in Social Media. HICSS 47.
Tanaka, Y., Sakamoto, Y., & Honda, H. (2014). The impact of posting URLs in disaster-related tweets on rumor spreading behavior. HICSS 47.
Li, H., & Sakamoto, Y. (2013). The influence of collective opinion on true-false judgment and information-sharing decision. Howe School of Technology Management Research Paper Series Number 2013-08.
Chen, R., & Sakamoto, Y. (2013). Perspective matters: Sharing of crisis information in social media. HICSS 46. (nominated for a best paper award) - a blog entry on iRevolution
Tanaka, Y., Sakamoto, Y., & Matsuka, T. (2013). Toward a social-technological system that inactivates false rumors through the critical thinking of crowds. HICSS 46. (received the best paper award in the collaboration systems and technologies track) - a blog entry on iRevolution - a blog entry on Follow the Crowd
田中優子,坂本康昭,道田泰司,松香敏彦 (2012). 震災後にツイッター上で伝播した流言と批判に対する評価ー東日本大震災を事例とした地域差の検討ー. 日本心理学会第76回大会.
[ Tanaka, Y., Sakamoto, Y., Michita, Y., & Matsuka, T. (2012). A locational difference in the evaluation of rumor-tweets about the Great East Japan Earthquake and their criticisms. The 76th Annual Convention of the Japanese Psychological Association. ]
Tanaka, Y., Sakamoto, Y., & Matsuka, T. (2012). Transmission of rumor and criticism in Twitter after the Great Japan Earthquake. Annual Meeting of the Cognitive Science Society.
Sakamoto, Y. (2012). Following trendsetters: Collective decisions in online social networks. HICSS 2012.
Sakamoto, Y. (2010). The impact of collective opinion on online judgment. Annual Meeting of the Cognitive Science Society.
Sakamoto, Y., Sadlon, E., & Nickerson, J. V. (2009). The use of reciprocity to build reputation in electronically mediated social networks. Workshop on Information in Networks.
Sakamoto, Y., Ma, J., & Nickerson, J. V. (2009). 2377 people like this article: The influence of other's decisions on yours. In N. Taatgen, H. van Rijn, L. Schomaker, and J. Nerbonne (Eds.), Proceedings of the 31st Annual Meeting of the Cognitive Science Society.
Sadlon, E., Sakamoto, Y., Ma, J., Barrett, S., & Nickerson, J. V. (2009). The ecology of Digg: Niches and reciprocity in a social network landscape. CHI 2009 Workshop on Social Mediating Technologies: Developing the Research Agenda.
Sadlon, E., Sakamoto, Y., Dever, H. J., & Nickerson, J. V. (2008). The karma of Digg: Reciprocity in online social networks. In R. Gopal and R. Ramesh (Eds.), Proceedings of the 18th Annual Workshop on Information Technologies and Systems.
Sakamoto, Y., Sadlon, E., & Nickerson, J. V. (2008). Bellwethers and the emergence of trends in online communities. In Proceedings of the 30th Annual Meeting of the Cognitive Science Society.
Crowdsourcing
Ren, J., Graber, B., Mason, W. A., Sakamoto, Y., & Nickerson, J. V. (2014). Increasing the crowd’s capacity to Create: How alternative generation affects the diversity, relevance, and effectiveness of generated ads. Decision Support Systems, 65, 28-39.
Creamer, G. G., Ren, Y., Sakamoto, Y., & Nickerson, J. V. (2013). News and sentiment analysis of the European market with a hybrid expert weighting algorithm. International Conference on Social Computing.
Wang, K., Nickerson, J. V., & Sakamoto, Y. (2013). Crowdsourced idea generation: The effect of exposure to an original idea. Americas Conference on Information Systems.
Yu, L., Nickerson, J. V., & Sakamoto, Y. (2012). Collective creativity: Where we are and where we might go. Collective Intelligence conference.
Sakamoto, Y., & Bao, J. (2011). Testing tournament selection in creative problem solving using crowds. ICIS 2011. (nominated and short-listed for a best paper award)
Bao, J., Sakamoto, Y., & Nickerson, J. V. (2011). Evaluating design solutions using crowds. AMCIS 2011.
Yu, L., Sakamoto, Y., & Nickerson, J. V. (2011). Feature propagation in idea networks. Workshop on Information in Networks. New York, NY.
Sakamoto, Y., & Fu, W.-T. (2011). Half-day workshop on social computing and collective intelligence. Annual Meeting of the Cognitive Science Society. (Workshop website)
Tanaka, Y., Sakamoto, Y., & Kusumi, T. (2011). Conceptual combination versus critical combination: Devising creative solutions using the sequential application of crowds. Annual Meeting of the Cognitive Science Society.
Sakamoto, Y., Tanaka, Y., Yu, L., & Nickerson, J. V. (2011). The crowdsourcing design space. Human Computer Interaction International, Lecture Notes in Computer Science. Springer.
Yu, L., & Sakamoto, Y. (2011). Feature selection in crowd creativity. Human Computer Interaction International, Lecture Notes in Computer Science. Springer.
Genc, Y., Sakamoto, Y., & Nickerson, J. V. (2011). Discovering context: Classifying tweets through a semantic transform based on Wikipedia. Human Computer Interaction International, Lecture Notes in Computer Science. Springer.
Nickerson, J. V., Sakamoto, Y., & Yu, L. (2011). Structures for creativity: The crowdsourcing of design. CHI 2011 Workshop on Crowdsourcing and Human Computation.
Nickerson, J. V. & Sakamoto, Y. (2010). Crowdsourcing creativity: Combining ideas in networks. Workshop on Information in Networks. New York, NY.
Sakamoto, Y., & Shi, H. (2010). The benefit of imitating particular individuals. Annual Meeting of the Cognitive Science Society.
Category Learning
Sakamoto, Y. (2012). Schematic influences on category learning and recognition memory. N. M. Seel (Ed.). Encyclopedia of the Sciences of Learning. Springer.
Sakamoto, Y., & Love, B. C. (2010). Learning and retention through predictive inference and classification. Journal of Experimental Psychology: Applied, 16, 361-377. (ABS4) - a blog entry on Psychology Today
坂本康昭 (2010). 概念とカテゴリ化. 現代の認知心理学3: 思考と言語. 楠見孝編. 北大路書房.
[ Sakamoto, Y. (2010). Concepts and categorization. In T. Kusumi (Ed.), Theories and Applications of Cognitive Psychology 3: Thought and Language. Kyoto: Kitaoji. ]
Sakamoto, Y., & Love, B. C. (2009). You only had to ask me once: Long-term retention requires direct queries during learning. In N. Taatgen, H. van Rijn, L. Schomaker, and J. Nerbonne (Eds.), Proceedings of the 31st Annual Meeting of the Cognitive Science Society.
Sakamoto, Y., Jones, M., & Love, B. C. (2008). Putting the psychology back into psychological models: Mechanistic vs. rational approaches. Memory & Cognition, 36, 1057-1065.
Matsuka, T., Sakamoto, Y., Chouchourelou, A., & Nickerson, J. V. (2008). Toward a descriptive cognitive model of human learning. Neurocomputing, 71, 2446-2455.
Matsuka, T., Sakamoto, Y., & Chouchourelou, A. (2008). Modeling a flexible representation machinery of human concept learning. Neural Networks, 21, 289-302.
Sakamoto, Y., & Matsuka, T. (2007). Incorporating forgetting in a category learning model. In Proceedings of International Joint Conference on Neural Networks.
Matsuka, T., & Sakamoto, Y. (2007). Integrating a flexible representation machinery in a model of human concept learning. In Proceedings of International Joint Conference on Neural Networks.
Sakamoto, Y., & Nickerson, J. V. (2007). Social behavior in a team of autonomous sensors. In G. Muresan, T. Altiok, B. Melamed, and D. Zeng (Eds.), Proceedings of the Intelligence and Security Informatics Conference.
Matsuka, T., & Sakamoto, Y. (2007). A cognitive model that describes the influence of prior knowledge on concept learning. Artificial Neural Networks, ICANN07, Lecture Notes in Computer Science (LNCS). Berlin: Springer-Verlag.
Matsuka, T., & Sakamoto, Y. (2007). A cognitive model of concept learning with a flexible representation system. Advances in Neural Networks, Lecture Notes in Computer Science (LNCS), Vol. 4491 Part I (pp. 1135-1143). Berlin: Springer-Verlag.
Sakamoto, Y., & Love, B. C. (2006). Vancouver, Toronto, Montreal, Austin: Enhanced oddball memory through differentiation, not isolation. Psychonomic Bulletin & Review, 13, 474-479.
Sakamoto, Y. (2006). Acquiring New Speech Sounds by Clustering. In R. Sun and N. Miyake (Eds.), Proceedings of the 5th International Conference on the Cognitive Science Society.
Sakamoto, Y., Love, B. C., & Jones, M. (2006). Tracking variability in learning: Contrasting statistical and similarity-based accounts. In R. Sun and N. Miyake (Eds.), Proceedings of the 28th Annual Meeting of the Cognitive Science Society.
Sakamoto, Y., & Love, B. C. (2006). Sizable sharks swim swiftly: Learning correlations through inference in a classroom setting. In R. Sun and N. Miyake (Eds.), Proceedings of the 28th Annual Meeting of the Cognitive Science Society.
Matsuka, T., Sakamoto, Y., Nickerson, J. V., & Chouchourelou, A. (2006). A cognitive model of multi-objective multi-concept formation. Lecture Notes in Computer Science: Artificial Neural Networks, Vol. 4131 (pp. 563-572). Berlin: Springer-Verlag.
Sakamoto, Y., & Love, B. C. (2005). A novel approach to understanding novelty effects in memory. In B. G. Bara, L. W. Barsalou, and M. Bucciarelli (Eds.), Proceedings of the 27th Annual Meeting of the Cognitive Science Society.
Sakamoto, Y., & Love, B. C. (2004). Schematic influences on category learning and recognition memory. Journal of Experimental Psychology: General, 133, 534-553.
Sakamoto, Y., & Love, B. C. (2004). Type/token information in category learning and recognition. In K. Forbus, D. Gentner, and T. Regier (Eds.), Proceedings of the 26th Annual Meeting of the Cognitive Science Society.
Sakamoto, Y., Matsuka, T., & Love, B. C. (2004). Dimension-wide vs. exemplar-specific attention in category learning and recognition. In M. Lovett, C. Schunn, C. Lebiere, and P. Munro (Eds.), Proceedings of the 6th International Conference on Cognitive Modeling.
Sakamoto, Y., & Love, B. C. (2003). Category structure and recognition memory. In R. Alterman and D. Kirsh (Eds.), Proceedings of the 25th Annual Meeting of the Cognitive Science Society.
Goldstone, R. L., & Sakamoto, Y. (2003). The transfer of abstract principles governing complex adaptive systems. Cognitive Psychology, 46, 414-466.
Presentations

Sakamoto, Y. (April 2013). Minimizing the spread of false tweets during disaster response. Business Intelligence and Analytics: Small Talks about Big Data. Stevens Insitute of Technology. Hoboken NJ.
Chen, R., Li, H., Tanaka, Y., & Sakamoto, Y. (April 2013). Leveraging social media for disaster response. Innovation Expo. Stevens Institute of Technology. Hoboken NJ.
Sakamoto, Y. (March 2013). Minimizing the spread of false information in social media during a disaster. Final J-Rapid Symposium. Sendai Japan.
Sakamoto, Y. (August 2012). Collective decision-making processes in online social networks. Annual Meeting of the Cognitive Science Society. Sapporo Japan.
Chen, R., & Sakamoto, Y. (August 2012). Mindset interacts with subsubjective knowledge but not fluency when affecting preferential judgment. Annual Meeting of the Cognitive Science Society. Sapporo Japan.
Li, H., Chen, R., & Sakamoto, Y. (August 2012). The thinking behind decisions to spread disaster-related tweets. Annual Meeting of the Cognitive Science Society. Sapporo Japan.
Chen, R., & Sakamoto, Y. (July 2012). Fluency and dual processes in creativity and liking judgments. International Conference on Thinking. London UK.
Chen, R., & Sakamoto, Y. (June 2012). Fluency and new product evaluation. Behavioral Decision Research in Management Conference. Boulder CO.
Sakamoto, Y. (June 2012). Analyzing decision-making behavior in social media sites. Business Intelligence and Analytics: Small Talks about Big Data. Stevens Insitute of Technology. Hoboken NJ.
Sakamoto, Y. (November 2011). Collective decision-making processes in peer production networks. Ph.D. Research Collquium Series. Stevens Insitute of Technology. Hoboken NJ.
Chen, R., & Sakamoto, Y. (November 2011). Do people use feelings as information in creativity judgment? SJDM 2011. Seattle WA.
Bao, J., & Sakamoto, Y. (August 2011). Crowdsourcing creativity: Generating and combining ideas using crowds. Annual Meeting of the Cognitive Science Society. Boston MA.
Sakamoto, Y. (November 2008). Learning and retention through predictive inference and classification. Computation and Cognition Meeting. New York University. NY NY.
Sakamoto, Y. (November 2006). Computational models of category learning. Japanese Psychological Association Annual Meeting. Hakodate Japan.
Advising

Yuko Tanaka, Ph.D., National Institute of Informatics, Japan
Rongjuan Chen, Ph.D., Rocket Fuel
Huaye Li, Ph.D. student
Data

Transmission and perception of tweets related to Great East Japan Earthquake in March 2011
Links

iRevolution: From innovation to Revolution
Global Research on Applying Information Technology to Support Effective Disaster Management
Business Intelligence and Analytics program
Center for Decision Technologies