read about PsyGlass

Rick Dale

Associate Professor
Cognitive & Information Sciences
University of California, Merced
rdale at ucmerced -- Edie, you?
SSM 261A (office hours: Tu 11-12, W 3-4)
SSM 367


I am a cognitive scientist in the Cognitive & Information Sciences group at the young UC Merced. My research involves quantifying the dynamics of cognition, with a focus on human communication. The work I've been involved in has touched upon language's many levels of complexity: from how it evolved, to how we carry out brief conversations. I am also interested in a wide range of other topics, such as the interface between language and action, cognitive dynamics, and theoretical issues in cognitive science.

Lab: Cognition & Integrated Action Laboratory
Fall 2015 class: COGS 127, Modern Everyday Cognition

I use diverse research methods, including computational modeling, analysis of naturalistic behavior, and human experimentation. I use these techniques to investigate a diverse range of language-related phenomena with students and collaborators: conversation, thinking in language, sentence processing, word categorization, and even deception. For example, with Daniel Richardson, I have studied how people become coupled together during linguistic interaction (such as in their eye movements). I have also investigated how complex thinking unfolds in time by tracking the dynamics of people's arm movements (by using, for example, the Nintendo Wii Remote). My work is motivated by the ideas and tools used in the study of complex dynamical systems. I have recently been interested in theoretical issues tying together dynamics with classical theories of cognition in a more pragmatic, plural approach to cognitive science (check out this special issue).

My LinkedIn profile.

I quantify and visualize the way human behavior is organized in time, with a focus on communication. Our published work has taken steps to assess when and how people understand each other, when deception may be taking place, how positive and constructive an interaction is, how confident people are when making decisions, and more. To accomplish this, collaborators and I have leveraged computationally affordable and automated methods that get direct quantification and modeling of human behavior.

Key interests: human behavior and communication, modeling and analysis of time series, analytics and corpus methods, theoretical cognitive science

Some contributions: quantifying coupling between persons, analyzing how bodily movement can reveal mental processes, developing computationally affordable tools for analysis of behavior and interaction

Scientific competencies: analytics and corpus methods, experimental design, observational data analysis, regression analysis, computational modeling

Technical competencies: MATLAB, R, Python, JavaScript, ActionScript, PHP/server-side design, relational database design, interface development, shell play

Other experiences: undergraduate and graduate research mentoring, teaching at undergraduate and graduate levels in both content-oriented and technical courses, grant management and writing, a variety of university-level service activities including chairing committees and programs

Some service to the field

Some recent papers

Duran, N. D., Dale, R. & Galati, A. (in press). Towards integrative dynamic models for adaptive perspective-taking. Topics in Cognitive Science.
Paxton, A., Rodriguez, K. & Dale, R. (2015). PsyGlass: capitalizing on Google Glass for naturalistic data collection. Behavior Research Methods, 47, 608-619.
Fusaroli, R., Perlman, M., Mislove, A., Paxton, A., Matlock, T. & Dale, R. (2015). Timescales of massive human entrainment. PLOS ONE, 10, e0122742.
Roche, J. M., Peters, B. & Dale, R. (2015). Your tone says it all: The processing and interpretation of affective language. Speech Communication, 66, 47-64.
Dale, R. (2014). Language and cognition: Occasions for synthesis, but not surprise. IEEE CIS AMD Newsletter, 11, 5-6.
Bhat, H. S., Huang, L. S., Rodriguez, S., Dale, R. & Heit, E. (to appear). Citation prediction using diverse features. In 3rd ICDM Workshop on Data Science and Big Data Analytics (DSBDA-2015) at IEEE ICDM '15.
Vinson, D. W. & Dale, R. (2014). An exploration of semantic tendencies in word of mouth business reviews. In Science and Information IEEE Conference (SAI).
Coco, M. I. & Dale, R. (2014). Cross-recurrence quantification analysis of categorical and continuous time series: an R package. Frontiers in Quantitative Psychology and Measurement, 5.
Abney, D.H., Paxton, A., Dale, R. & Kello, C. T. (2014). Complexity matching in dyadic conversation. Journal of Experimental Psychology: General, 143, 2304-2315.
Dale, R., Fusaroli, R., Duran, N. D. & Richardson, D. C. (2014). The self-organization of human interaction. In B. Ross (Ed.), Psychology of Learning and Motivation (pp. 43-95). Academic Press.
Tollefsen, D. P., Kreuz, R. J. & Dale, R. (2014). Flavors of "togetherness": Experimental philosophy and theories of joint action. In J. Knobe, T. Lombrozo & S. Nichols (Eds.), Oxford Studies in Experimental Philosophy: Volume 1 (pp. 232-252). Oxford University Press.
See lab site for full list