2021

[oral + 22% acceptance] *Dunn, A., *Qiao, A., *Johnson, M., & Kunda, M. (2021). Measuring more to learn more from the block design test: A literature review. Proceedings of the 43rd Annual Meeting of the Cognitive Science Society. p. 611-617. *Co-first authors. [pdf]

Flores, I., Fallon, C., and Kunda, M. (2021). Visuospatial skills and the workforce. International Conference on the Theory and Application of Diagrams. Extended abstract.

Flores, I., Fallon, C., and Kunda, M. (2021). Visuospatial skills and the workforce. Annual Conference of the Cognitive Science Society. Abstract.

Kunda, M. (2021). The AI triplet: Computational, conceptual, and mathematical representations in AI education. Preprint, arXiv:2110.09290. [pdf]

[oral] Michelson, J., Sanyal, D., Ainooson, J., Yang, Y., & Kunda, M. (2021). Social cognition paradigms ex machinas. Proceedings of the AAAI Fall Symposium on Computational Theory of Mind for Human-Machine Teams. [pdf]

[JADD] Rashedi, R., Bonnet, K., Schulte, R., Schlundt, D., Swanson, A., Kinsman, A., Bardett, N., Warren, Z., Juarez, P., Biswas, G., & Kunda, M. (2021). Opportunities and challenges in developing technology-based social skills interventions for adolescents with autism spectrum disorder: A qualitative analysis of parent perspectives. Journal of Autism and Developmental Disorders. [pdf]

Yang, Yuan, Sanyal, D., Michelson, J., Ainooson, J., & Kunda, M. (2021). Automatic item generation of figural analogy problems: A review and outlook. Proceedings of the Ninth Annual Conference on Advances in Cognitive Systems (ACS). [pdf]

Yang, Yiyuan, Li, K., Eliott, F., and Kunda, M. (2021). Do time constraints re-prioritize attention to shapes during visual photo inspection? Annual Conference of the Cognitive Science Society. Abstract.

2020

Ainooson, J., Michelson, J., Sanyal, D., Palmer, J. H., and Kunda, M. (2020). Strategies for visuospatial reasoning: Experiments in sufficiency and diversity. Proceedings of the Eighth Annual Conference on Advances in Cognitive Systems (ACS). [pdf]

Ainooson, J., Michelson, J., Sanyal, D., Palmer, J. H., and Kunda, M. (2020). Modeling visuospatial reasoning across 17 different tests on the Leiter scale of nonverbal intelligence. 42nd Annual Meeting of the Cognitive Science Society. Abstract.

Cha, S., Ainooson, J., Chong, E., Soulières, I., Rehg, J., and Kunda, M. (2020). Enhancing cognitive assessment through multimodal sensing: A case study using the block design test. Proceedings of the 42nd Annual Meeting of the Cognitive Science Society. p. 2546- 2552. [pdf]

Chen Z., Li S., Rashedi R., Zi X., Elrod-Erickson M, Hollis B., Maliakal A., Shen X., Zhao S., & Kunda M. (2020). Creating and characterizing datasets for social visual question answering. IEEE Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL/EPIROB). [pdf]

Cummings, P., Fauchet, P., Goldfarb, M., Jones, M., Kunda, M., Perlin, J., Sarkar, N., Stassun, K., Warren, Z., & Zelik, K. (2020). Engineering for inclusion: empowering individuals with physical and neurological differences through engineering invention, research, and development. Engineering, 7 (2), 141-143. [pdf]

Hua, T., and Kunda, M. (2020). Modeling Gestalt visual reasoning on Raven’s Matrices using generative image inpainting techniques. Proceedings of the Eighth Annual Conference on Advances in Cognitive Systems (ACS). [pdf]

Hua, T., and Kunda, M. (2020). Modeling Gestalt visual reasoning on Raven’s Progressive Matrices using generative image inpainting techniques. 42nd Annual Meeting of the Cognitive Science Society. Abstract.

Kunda, M., and Rabkina, I. (2020). Creative captioning: An AI grand challenge based on the Dixit board game. Preprint, arXiv:2010.00048. [pdf]

[PNAS] Kunda, M. (2020). AI, visual imagery, and a case study on the challenges posed by human intelligence tests. Proceedings of the National Academy of Sciences, 117 (47), 29390-29397. [pdf]

Michelson, J., Palmer, J. H., Dasari, A., & Kunda, M. (2020). Learning spatially structured image transformations using neural networks. Preprint, arXiv:1912.01553. [pdf]

Michelson, J., Sanyal, D., Ainooson, J., & Kunda, M (2020). A measure of visuospatial reasoning skills: Painting the big picture. Proceedings of the Eighth Annual Conference on Advances in Cognitive Systems (ACS). [pdf]

Rashedi, R., Bonnet, K., Shulte, R., Schlundt, D., Swanson, A., Kinsman, A., Bardett, N., Warren, Z., Juarez, P., Biswas, G., & Kunda, M. (2020). Opportunities and challenges in developing technology-based social skills interventions for youth with autism spectrum disorder: A qualitative analysis of parent perspectives. International Conference on Learning Sciences. p. 673-676. [pdf]

Sanyal, D., Michelson, J., Seiffert, A. & Kunda, M. (2020). Part of Your World: Trends in the Visual Complexity of Digital Media. Proceedings of the 42nd Annual Conference of the Cognitive Science Society, p. 1900. Abstract. [pdf]

★ Best Paper Award ★ Yang, Y., McGreggor, K., and Kunda, M. (2020). Not quite any way you slice it: How different analogical constructions affect Raven’s Matrices performance. Eighth Annual Conference on Advances in Cognitive Systems (ACS). Winner of the inaugural ACS Patrick Henry Winston Award for Best Student Paper. [pdf]

Zi, X., Li, S., Rashedi, R., Rushdy, M., Lane, B., Mishra, S., Biswas, G., Swanson, A., Kinsman, A., Bardett, N., Warren, Z., Juarez, P., and Kunda, M. (2020). Science learning and social reasoning in adolescents on the autism spectrum: An educational technology usability study. Proceedings of the 42nd Annual Meeting of the Cognitive Science Society. [pdf]

2019

Kunda, M. (2019). AI and cognitive testing: A new conceptual framework and roadmap. 41st Annual Meeting of the Cognitive Science Society, Montreal, Canada. p. 2065-2070. [pdf]

Kunda, M. (2019). Nonverbal task learning. In Proceedings of the Seventh Annual Conference on Advances in Cognitive Systems, 609-622. [pdf]

[oral] Rashedi, R. and Kunda, M. (2019). Reasoning together: Promoting mutual understanding in technology design for individuals with autism. 45th Annual Conference of the Association for Moral Education, Seattle, WA. Abstract.

Rashedi, R. and Kunda, M. (2019). Visual supports and theory of mind reasoning: Autism spectrum disorders. Institute of Education Sciences (IES) Principal Investigators Meeting, Washington, DC. Abstract.

Scheer, B., Renteria, F. C., and Kunda, M. (2019). Technology-based cognitive enrichment for animals in zoos: A case study and lessons learned. In Proceedings of the 41st Annual Meeting of the Cognitive Science Society, p. 2741-2747. [pdf]

2018

[ACS Journal] Brown, E., Park, S., Warford, N., Seiffert, A., Kawamura, K., Lappin, J., and Kunda, M. (2018). An architecture for spatiotemporal template-based search. Advances in Cognitive Systems, 6, 101-118. [pdf]

[oral] Brown, E., Park, S., Warford, N., Seiffert, A., Kawamura, K., Lappin, J., and Kunda, M. (2018). SpatioTemporal Template-based Search: An architecture to model human search for spatiotemporal targets. Sixth Annual Conference on Advances in Cognitive Systems, Menlo Park, CA. [pdf]

[oral + 31% acceptance] Eilbert, J., Peters, Z., Eliott, F., Stassun, K., and Kunda, M. (2018). Shapes in scatterplots: Comparing human visual impressions and computational metrics. 40th Annual Meeting of the Cognitive Science Society, Madison, WI. p. 330-335. [pdf]

Eliott, F., Stassun, K., and Kunda, M. (2018). IACI: A human-inspired computational architecture to help us understand visual data exploration. Sixth Annual Conference on Advances in Cognitive Systems, Menlo Park, CA. [pdf]

Kunda, M. (2018). Learning visuospatial reasoning skills from experience. Global Convergence NSF Science of Learning Meeting, Washington, DC. Abstract.

Kunda, M. (2018). Visual thinking and AI. Autism, Innovation & the Workforce: Envisioning the Future of Human-Technology Partnerships, NSF Convergence Conference, Nashville, TN. Abstract.

[Cortex] Kunda, M. (2018). Visual mental imagery: A view from artificial intelligence. Cortex, 105, 155-172. [pdf]

[oral + 25% acceptance] Palmer, J. H., and Kunda, M. (2018). Thinking in PolAR pictures: Using rotation-friendly mental images to solve Leiter-R Form Completion. AAAI National Conference. p. 612-619. [pdf]

Wang, X., Ma, T., Molla, A., Cha, S., Ainooson, J., Wang, X., and Kunda, M. (2018). An object is more than a single image: The Toybox dataset of visual object transformations. Vision Meets Cognition Workshop at the 2018 Conference on Computer Vision and Pattern Recognition (CVPR Workshop), Salt Lake City, Utah. [pdf]

Wang, X., Wang, X., and Kunda, M. (2018). Ordering of training inputs for a neural network learner. Sixth Annual Conference on Advances in Cognitive Systems, Menlo Park, CA. [pdf]

Warford, N., and Kunda, M. (2018). Measuring individual differences in visual and verbal thinking styles. 40th Annual Meeting of the Cognitive Science Society, Madison, WI. [pdf]

2017

Ainooson, J., and Kunda, M. (2017). A computational model for reasoning about the Paper Folding task using visual mental images. In Proceedings of the 39th Annual Meeting of the Cognitive Science Society, London, UK. p. 1519-1524. [pdf]

[oral] Brown, E. L., II, Seiffert, A. E., Warford, N., Park, S., & Kunda, M. (2017). Computational cognitive systems to model information salience. American Indian Science and Engineering Society National Conference (AISES), Denver, CO. Abstract.

Eliott, F. M., Stassun, K., and Kunda, M. (2017). Visual data exploration: How expert astronomers use flipbook-style visual approaches to understand new data. In Proceedings of the 39th Annual Meeting of the Cognitive Science Society, London, UK. p. 2754-2759. [pdf]

Kunda, M. (2017). Understanding the role of visual mental imagery in intelligence: The Retinotopic Reasoning (R2) cognitive architecture. Association for the Advancement of Artificial Intelligence (AAAI) Fall Symposium Series: A Standard Model of the Mind, Washington, DC. AAAI Technical Report FS-17-05. p. 401-407. [pdf]

[oral] Wang, X., Eliott, F., Ainooson, J., Palmer, J., and Kunda, M. (2017). An object is worth six thousand pictures: The egocentric, manual, multi-image (EMMI) dataset. In International Conference on Computer Vision Workshop on Egocentric Perception, Interaction, and Computing (EPIC@ICCV), Venice, Italy. [pdf]

2016

Kunda, M., El-Banani, M., and Rehg, J. (2016). A computational exploration of problem-solving strategies and gaze behaviors on the Block Design task. In Proceedings of the 38th Annual Meeting of the Cognitive Science Society, Philadelphia, PA, p. 235-240. [pdf]

[ACS Journal] Kunda, M., and Ting, J. (2016). Looking around the mind’s eye: Attention-based access to visual search templates in working memory. Advances in Cognitive Systems, 4, 113–129. [pdf]

[oral] Kunda, M. (2016). Visual imagination: A view from artificial intelligence. Eye’s Mind Conference: Visual Imagination, Neuroscience and the Humanities, Norwich, UK. Abstract.

[Intelligence] Kunda, M., Soulières, I., Rozga, A., & Goel, A. K. (2016). Error patterns on the Raven’s Standard Progressive Matrices Test. Intelligence, 59, 181-198. [pdf]

2015

[oral] Kunda, M. (2015). Thinking in Pictures: Computational visual cognition. Sci Foo Camp, Google. Jun. 27, 2015, Mountain View, CA. Abstract. Selected for lightning talk.

[oral] Kunda, M. (2015). Computational mental imagery, and visual mechanisms for maintaining a goal-subgoal hierarchy. Third Annual Conference on Advances in Cognitive Systems, Atlanta, GA. [pdf]

[oral] Kunda, M., and Ting, J. (2015). Looking around the mind’s eye: How internal deployments of attention can affect visual search performance. Third Annual Conference on Advances in Cognitive Systems, Atlanta, GA. [pdf]

2014

Kunda, M. (2014). Computational models of gaze in neuropsychological assessments. Joint Meeting for NSF Expeditions on Computational Behavioral Science and Socially Assistive Robotics, Atlanta, GA. Abstract.

[Artificial Intelligence] McGreggor, K., Kunda, M., and Goel, A. K. (2014). Fractals and Ravens. Artificial Intelligence, 215, pp. 1-23. [pdf]

2013

[oral] Goel, A. K., Kunda, M., Joyner, D., and Vattam, S. (2013). Learning about representational modality: Design and programming projects for knowledge-based AI. In Fourth AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI), Bellevue, WA. p. 1586-1591. [pdf]

[Cog. Sys. Research] Kunda, M., McGreggor, K., and Goel, A. K. (2013). A computational model for solving problems from the Raven’s Progressive Matrices intelligence test using iconic visual representations. Cognitive Systems Research, 22-23, pp. 47-66. [pdf]

Kunda, M., Soulieres, I., Rozga, A., and Goel, A. (2013). Errors made on Raven’s Progressive Matrices as a window into cognitive strategy. 35th Annual Conference of the Cognitive Science Society, Berlin, Germany. [pdf]

2012

Kunda, M., McGreggor, K., and Goel, A. K. (2012). Reasoning on the Raven’s Advanced Progressive Matrices test with iconic visual representations. 34th Annual Conference of the Cognitive Science Society, Portland, OR, pp. 1828-1833. [pdf]

2011

[JADD] Kunda, M., and Goel, A. K. (2011). Thinking in Pictures as a cognitive account of autism. Journal of Autism and Developmental Disorders, 41 (9), pp. 1157-1177. [pdf]

[oral + 25% acceptance] Kunda, M., McGreggor, K., and Goel, A. K. (2011). Two visual strategies for solving the Raven’s Progressive Matrices intelligence test. AAAI National Conference, San Francisco, CA. [pdf]

McGreggor, K., Kunda, M., and Goel, A. K. (2011). Fractal analogies: Preliminary results from the Raven’s test of intelligence. 2nd International Conference on Computational Creativity, Mexico City, Mexico. p. 69-71. [pdf]

Kunda, M., Soulieres, I., Mottron, L., and Goel, A. K. (2011). Comparing patterns of errors on the Raven’s Progressive Matrices test: Strategy differences among typically developing individuals, individuals with autism, and computational models. International Meeting for Autism Research (IMFAR), San Diego, CA. Abstract.

2010

Kunda, M., McGreggor, K., and Goel, A. K. (2010). Taking a look (literally!) at the Raven’s intelligence test: Two visual solution strategies. 32nd Annual Conference of the Cognitive Science Society, Portland, OR, pp. 1691-1696. [pdf]

McGreggor, K., Kunda, M., and Goel, A. K. (2010). A fractal approach towards visual analogy. 1st International Conference on Computational Creativity, Lisbon, Portugal. [pdf]

[oral + 20% acceptance] Kunda, M., McGreggor, K., and Goel, A. K. (2010). Can the Raven’s Progressive Matrices intelligence test be solved by thinking in pictures? International Meeting for Autism Research (IMFAR), Philadelphia, PA. Abstract.

McGreggor, K., Kunda, M., and Goel, A. K. (2010). A fractal analogy approach to Raven’s test of intelligence. AAAI Workshop on Visual Representations and Reasoning, Atlanta, GA. p. 69-75. [pdf]

2009

Kunda, M., McGreggor, K., and Goel, A. K. (2009). Addressing the Raven’s Progressive Matrices test of general intelligence. AAAI Fall Symposium on Multi Representational Architectures for Human Level Intelligence, Washington, D.C. AAAI FS-09-05 p. 22-27. [pdf]

Kunda, M., and Goel, A. (2009). Evidence for Thinking in Pictures as a cognitive account of autism. International Meeting for Autism Research (IMFAR), Chicago, IL. Abstract.

2008

Kunda, M., and Goel, A. K. (2008). How Thinking in Pictures can explain many characteristic behaviors of autism. 7th IEEE International Conference on Development and Learning, Monterey, CA, pp. 304-309. [pdf]

[oral + 26% acceptance] Kunda, M., and Goel, A. K. (2008). What can pictorial representations reveal about the cognitive characteristics of autism? 5th International Conference on the Theory and Application of Diagrams, Herrsching, Germany. LNCS, 5223, pp. 103-117. [pdf]

[oral + 32% acceptance] Kunda, M., and Goel, A. K. (2008). Thinking in Pictures: A fresh look at cognition in autism. 30th Annual Conference of the Cognitive Science Society, Washington, DC, pp. 321-326. [pdf]

2007

Neidhoefer, J., Gibson, C., Kunda, M., and Johnson, E. (2007). Determinism and autonomy in the National Airspace System (NAS). Journal of Aerospace Computing, Information, and Communication, 4 (11), pp. 1037-1045. [pdf]

[oral] Neidhoefer, J., Gibson, C., Kunda, M., and Johnson, E. (2007). Determinism in autonomy for applications in the National Airspace System (NAS). Proceedings of the American Institute for Aeronautics and Astronautics (AIAA) Infotech@Aerospace Conference, Rohnert Park, CA. [link]

2005

Marquez, J., Cummings, M., Roy, N., Kunda, M., and Newman, D. (2005). Collaborative human-computer decision support for planetary surface traversal. American Institute for Aeronautics and Astronautics: Infotech@Aerospace, Arlington, VA. [pdf]

Kunda, M., Bird, N., Canella, L., Marland, G., and Schlamadinger, B. (2005). Carbon management, earth surface albedo, and biomass fuels. 14th European Biomass Conference and Exhibition: Biomass for Energy, Industry, and Climate Protection, Paris, France. Abstract.

[oral] Kunda, M., Marland, G., Canella, L., Schlamadinger, B., and Bird, N. (2005). Impact of albedo change on carbon sequestration strategies. Third USDA Symposium on Greenhouse Gases and Carbon Sequestration in Agriculture and Forestry, Baltimore, MD. Abstract. [pdf]