Department of
Psychological and Brain Sciences

• New Investigator Award, American Psychological Association, Division 3, 2008
• Student Research Achievement Award, Indiana University Cognitive Science Program, 2008
• Marr Prize for Best Student Paper, Annual Conference of the Cognitive Science Society, 2007
• Cognitive Science Summer Research Fellowship, Indiana University, 2005, 2006

• Computational and theoretical approaches to formal reasoning
• Mathematical cognition and perception
• Numerical reasoning
• Distributed cognition

Landy, D., Silbert, N. & Goldin, A. (2013). Estimating large numbers. Cognitive Science, 37(5) 775-799. doi: 10.1111/cogs.12028

Taylor, E. T., Landy, D., & Ross, B. (2012). The effect of explanation in simple binary decision tasks. Quarterly Journal of Experimental Psychology, 65(7), 1361-75. doi: 10.1080/17470218.2012.656664

Landy, D., Brookes, D., & Smout, R. (2011). Modeling abstract numeric relations using concrete notations. In L. Carlson, C. Hoelscher & T. F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 1359-1364). Austin: TX: Cognitive Science Society.

Landy, D. & Goldstone, R. L. (2010). Proximity and precedence in arithmetic. Quarterly Journal of Experimental Psychology, 63(10), 1953-1968. doi: 10.1080/17470218.2012.656664

Goldstone, R. L., Landy, D., & Son, J. Y. (2010). The education of perception. Topics in Cognitive Science, 2(2), 265-284. doi: 10.1111/j.1756-8765.2009.01055.x

Landy, D., Goldstone, R. L. (2007). Formal notations are diagrams: Evidence from a production task. Memory and Cognition 35(8), 2033-2040. doi: 10.3758/BF03192935

Landy, D., Goldstone, R. L. (2007). How abstract is symbolic thought? Journal of Experimental Psychology: Learning, Memory, and Cognition, 33(4), 720-733. doi:10.1037/0278-7393.33.4.720