PDFs () for each publication are available for download and are provided for personal use only. Supplementary materials on GitHub () and OSF () are also linked with each citation (when available). Please click the corresponding icon to access. *Student or postdoctoral collaborators underlined (at time of publication).
Refereed Journal and (archival) Conference Publications
Salerno, J. M., Bean, S. R., Duran, N. D., Wulff, A. N., Reeder, I, & Kassin, S. M. (in press). Failing to express emotion on 911 calls triggers suspicion through violating expectations and moral typecasting. Journal of Personality and Social Psychology.
Duran, N. D., Paige, A. , D’Mello, S. K. (2024). Multi-level linguistic alignment in collaborative problem-solving. Cognitive Science.
D’Mello, S., Duran, N. D., Michaels, A., & Stewart, A. (2024). Improving collaborative problem solving skills via automated feedback & scaffolding: A quasi-experimental study with CPSCoach. User Modeling and User-Adapted Interaction.
Stewart, A., Rao, A. R., Michaels, A., Sun, C., Shute, V., Duran, N. D., & D’Mello, S. (2023). CPSCoach: The design and implementation of intelligent collaborative problem solving feedback. Proceedings of the International Conference on Artificial Intelligence in Education (AIED) (6 pages).
Moulder, R., Duran, N. D., & D’Mello, S. K. (2022). Assessing multimodal dynamics in multi-party collaborative interactions with multi-level vector autoregression. Proceedings of the ACM International Conference on Multimodal Interactions (11 pages).
Sun, C., Shute, V. J., Stewart, A. E. B., Beck-White, Q., Reinhardt, C. R., Zhou, G., Duran, N. D., D’Mello, S. K. (2022). The relationship between collaborative problem-solving behaviors and solution outcomes in a game-based learning environment. Computers in Human Behavior.
Pollak, K. M., Olderbak, S., Randall, A., Lau, K., & Duran, N. D. (2022). Comparing self-reported emotions and facial expressions of joy in heterosexual romantic couples. Personality and Individual Differences.
Schillinger, D.*, Duran, N. D.* (shared first authorship), McNamara, D. S., Crossley, S., and Balyan, R. (2021). Achieving precision communication: Physicians’ linguistic adaption to patients’ health literacy. Science Advances, 51 , 1-12.
Randall, A., Tao, C., Leon, G., & Duran, N. D. (2021). Couple’s co-regulation dynamics as a function of perceived partner dyadic coping. Anxiety, Stress & Coping. In Press.
Skalicky, S., Duran, N. D., & Crossley, S. A. (2020). Please, please, just tell me: The linguistic features of humorous deception. Dialogue & Discourse, 11, 128-149.
Sun, C., Shute, V. J., Stewart, A., Yonehiro, J., Duran, N. D., & D’Mello, S. (2020). Towards a generalized model competency model of collaborative problem solving. Computers & Education, 143, 1-17.
Stewart, A. E. B., Amon, M. J., Duran, N. D., & D’Mello, S. K. (2020). Beyond team makeup: Diversity in teams predicts valued outcomes in computer-mediated collaborations. Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (13 pages).
Vrzakova, H., Stewart, A., Amon, M. J., Eloy, L., Duran, N. D., & D’Mello, S. K. (2020). Focused or stuck together: Multimodal patterns reveal triads’ performance in collaborative problem solving. Proceedings of the International Conference on Learning Analytics & Knowledge (10 pages).
Brown, W., Balyan, R., Karter, A. J., Crossley, S., Semere, W., Duran, N. D., Lyles, C., Liu, J., Moffet, H., Daniels, R., McNamara, D., & Schillinger, D. (2021). Challenges and solutions to employing natural language processing and machine learning to measure patients’ health literacy and physician writing complexity: The ECLIPPSE study. Journal of Biomedical Informatics, 113 1-9.
McCarthy, P. M., Al-Harthy, A., Buck, R., Ahmed, K., Thomas, A. M., Kaddoura, N. W., Duran, N. D., & Graesser, A. C. (2021). Introducing Auto-Peer: A computational tool designed to provide automated feedback for L2 writers. Asian ESP Journal.
Duran, N. D., Fusaroli, R., & Paxton, A. (2019). ALIGN: Analyzing linguistic interactions with generalizable techniques – a Python library. Psychological Methods, 24 , 419-438.
Galati, A., Dale, R., & Duran, N. D. (2019). Social and configural effects on the cognitive dynamics of perspective-taking. Journal of Memory and Language, 104, 1-24.
Stewart, A. E. B., Vrzakova, H., Sun, C., Yonehiro, J., Stone, C. A., Duran, N. D., Shute, V., & D’Mello, S. (2019). I say, you say, we say: Using spoken language to model socio-cognitive processes during computer-supported collaborative problem solving. Proceedings of the ACM: Human Computer Interaction. 3, Computer Supported Collaborative Work (CSCW 2019) (19 pages).
Eloy, L., Stewart, A. E. B., Amon, M. J., Reindhardt, C., Michaels, A., Sun, C., Shute, V., Duran, N. D., & D’Mello, S. (2019). Modeling team-level multimodal dynamics during multiparty collaboration Proceedings of the 21st ACM International Conference on Multimodal Interaction (ICMI ’19), Suzhou, China. (20 pages).
Lau, K. H., Randall, A., Duran, N. D., & Chun, T. (2018). Examining the effects of couples’ real-time stress and coping processes on interaction quality: Language use as a mediator. Frontiers in Psychology, 9, 1-14.
Crossley, S. A., Duran, N. D., Kim, Y., Lester, T., & Clark, S. (2018). The action dynamics of native and non-native speakers of English in processing active and passive sentences. Linguistic Approaches to Bilingualism, 10, 58-85.
Grafsgaard, J., Duran, N. D., Randall, A., Tao, C., & D’Mello, S. (2018). Generative models of nonverbal synchrony in close relationships. Proceedings of the 13th IEEE International Conference on Automatic Face and Gesture Recognition, Xi’an, China. (8 pages)
O’Hora, D., Redfern, S., Duran, N. D., Zgonnikov, A., & Sweeney, D. (2018). In-game motion dynamics provide a means of exploring the cognitive dynamics of deception. Proceedings of the 2018 IEEE Games, Entertainment, Media Conference (GEM), Galway, Ireland. (8 pages).
Duran, N. D., Nicholson, S., & Dale, R. (2017). The hidden appeal and aversion to political conspiracies as revealed in the response dynamics of partisans. Journal of Experimental Social Psychology, 73, 268-278.
Duran, N. D., & Fusaroli, R. (2017). Conversing with a devil’s advocate: Interpersonal synchronization dynamics in deception and conflict. PLOS ONE. 12, e0178140.
Schillinger, D, McNamara, D, Crossley, Scott, Moffet, H, Sarkar, U, Duran, N. D., Allen, J, Oryn, D, Karter, A. J. (2017). The next frontier in communication and the ECLIPPSE study: Bridging the digital divide in secure messaging. Journal of Diabetes Research, 2017, 1-9.
Coco, M. I., & Duran, N. D. (2016). When expectancies collide: Action dynamics reveal the interaction between stimulus plausibility and congruency. Psychonomic Bulletin & Review, 23, 1920-1931.
Duran, N. D., Dale, R., & Galati, A. (2016). Towards integrative dynamic models for adaptive perspective-taking. Topics in Cognitive Science, 8, 761-779.
Tabatabaeian, M., Dale, R., & Duran, N. D. (2015). Self-serving dishonest decisions can show facilitated cognitive dynamics. Cognitive Processing, 16, 291-300.
Duran, N. D., & Dale, R. (2014). Perspective-taking in dialogue as self-organization under social constraints. New Ideas in Psychology, 32, 131-146.
Dale, R. & Duran, N. D. (2013). Dealing with complexity differently: from interaction-dominant dynamics to theoretical plurality. Ecological Psychology, 25, 248-255.
Duran, N. D., & Dale, R., Kello, C., Street, C. N. H., & Richardson, D. C. (2013). Exploring the movement dynamics of deception. Frontiers in Psychology, 4, 1-16.
Dale, R., Fusaroli, R., Duran, N. D., & Richardson, D. C. (2013). The self-organization of human interaction. In B. Ross (Ed.), Psychology of Learning and Motivation, vol. 59 (pp. 43-95). Elsevier, Inc: Academic Press.
Dale, R., Duran, N. D., & Morehead, J. R. (2012). Prediction during statistical learning, and implications for the implicit/explicit divide. Advances in Cognitive Psychology, 8, 196-209.
Duran, N. D., & Dale, R., & Kreuz, R. J. (2011). Listeners invest in an assumed other’s perspective despite cognitive cost. Cognition, 121, 22-40.
Dale, R. & Duran, N. D. (2011). The cognitive dynamics of negated sentence verification. Cognitive Science, 35, 983-996.
Myers, J. C., McCarthy, P. M., Duran, N. D., & McNamara, D. S. (2011). The bit in the middle: A computational analysis of the linguistic features of body paragraphs. Behavior Research Methods, 43, 201-209.
Duran, N. D., Dale, R., & McNamara, D. S. (2010). The action dynamics of overcoming the truth. Psychonomic Bulletin & Review, 17, 486-491.
Duran, N. D., McCarthy, P. M., Hall, C., & McNamara, D. S. (2010). The linguistic correlates of conversational deception: Comparing natural language processing technologies. Applied Psycholinguistics, 31, 439-462.
Bellissens, C., Jeuniaux, P., Duran, N. D., McNamara, D. S. (2010). A text relatedness and dependency computational model: Using Latent Semantic Analysis and Coh-Metrix to predict self-explanation quality. Studia Informatica Universalis, 8, 85-125.
McCarthy, P. M., Hall, C., Duran, N. D., Doiuchi, M., Duncan, B., Fujiwara, Y., & McNamara, D. S., (2009). A computational analysis of journal abstracts written by Japanese, American, and British scientists. The ESPecialist, 30, 141-173.
Dale, R., Roche, J., & Duran, N. D. (2008). Language is complex. International Journal of Psychology and Psychological Therapy, 8, 351-362. (Invited article).
McCarthy, P. M., Renner, A. M., Duncan, M. G., Duran, N. D., Lightman, E. J., & McNamara. D. S. (2008). Identifying topic sentencehood. Behavior Research Methods, 40, 647-664.
Duran, N. D., McCarthy, P. M., Graesser, A. C, & McNamara, D. S. (2007). Using temporal cohesion to predict temporal coherence in narrative and expository texts. Behavior Research Methods, 39, 212-223.
Refereed (non-archival) Conference Publications
Cognitive Science
Duran, N. D., Paige, A. & D’Mello, S. K. (2021). Multi-level linguistic alignment in collaborative problem-solving. Proceedings of the 43rd Annual Conference of the Cognitive Science Society (Oral presentation; Abstract-only publication).
Yonehiro, J. & Duran, N. D. (2018). Measuring attention control abilities with a gaze following antisaccade paradigm. Proceedings of the 40th Annual Conference of the Cognitive Science Society (6 pages).
Heidari, A., D’Arienzo, M., Crossley, S. A., and Duran, N. D. (2017). Computational analysis of lexical and cohesion differences in deceptive language: The role of accordance. Proceedings of the AAAI 30th International Florida Artificial Intelligence Society Conference (FLAIRS 2017) (6 pages).
Duran, N. D., Nicholson, S., & Dale, R. (2015). Tracking the response dynamics of implicit partisan biases. Proceedings of the 37th Annual Conference of the Cognitive Science Society. Austin: TX: Cognitive Science Society (6 pages).
Coco, M. I. & Duran, N. D. (2015). Incidental memory for naturalistic scenes: Exposure, semantics, and encoding. Proceedings of the 37th Annual Conference of the Cognitive Science Society. Austin: TX: Cognitive Science Society (6 pages).
Tabatabaeian, M., Dale, R., & Duran, N. D. (2014). Facilitation of dishonesty in self-serving tasks. Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 1562-1567). Austin: TX: Cognitive Science Society (6 pages).
Duran, N. D. & Dale, R. (2012). Increased vigilance in monitoring others’ mental states during deception. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 1518-1523). Austin: TX: Cognitive Science Society (6 pages).
McCarthy, P. M., Duran, N. D., & Booker, L. M. (2012). The devil is in the details: New directions in deception analysis. Proceedings of the AAAI 25th Annual Conference of the International Florida Artificial Intelligence Research Society, San Marco Islands (6 pages) (Invited proceeding)
Duran, N. D. & Dale, R. (2011). Spatial cognition adapts to social context. Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 1111-1116). Austin: TX: Cognitive Science Society (6 pages).
Duran, N.D., Crossley, S., Hall, C., McCarthy, P., & McNamara, D. S. (2009). Expanding a catalogue of deceptive linguistic features with NLP technologies. Proceedings of the AAAI 22nd Annual Conference of the International Florida Artificial Intelligence Research Society, Sanibel Island, FL (6 pages).
Duran, N. D. & Dale, R. (2009). Predictive arm placement in the statistical learning of position sequences. Proceedings of the 31st Annual Conference of the Cognitive Science Society. Amsterdam, Netherlands (pp. 893-898). Austin, TX: Cognitive Science Society (6 pages).
Bellissens, C., Jeuniaux, P., Duran, N. D., & McNamara, D. S. (2007). Towards a textual cohesion model that predicts self-explanation inference generation as a function of text structure and readers’ knowledge. In D. S. McNamara and G. Trafton (Eds.), Proceedings of the 29th Annual Conference of the Cognitive Science Society. Nashville, TN (pp. 815-820). Austin, TX: Cognitive Science Society (6 pages).
Duran, N. D., Bellissens, C., Taylor, R. S., & McNamara, D. S. (2007). Quantifying text difficulty with automated indices of cohesion and semantics. In D. S. McNamara and G. Trafton (Eds.), Proceedings of the 29th Annual Conference of the Cognitive Science Society. Nashville, TN (pp. 233-238). Austin, TX: Cognitive Science Society (6 pages).
Willits, J. A., D’Mello, S. K., Duran, N. D., & Olney, A. (2007). Distributional statistics and thematic role relationships. In D. S. McNamara and G. Trafton (Eds.), Proceedings of the 29th Annual Conference of the Cognitive Science Society. Nashville, TN (pp. 707-712). Austin, TX: Cognitive Science Society (6 pages).
Duran, N. D., McCarthy, P. M., Graesser, A. C., & McNamara, D. S. (2006). Using Coh-Metrix temporal indices to predict psychological measures of time. In R. Sun & N. Miyake (Eds.), Proceedings of the 28th Annual Conference of the Cognitive Science Society. Vancouver, Canada (pp. 190-195). Austin, TX: Cognitive Science Society (6 pages).
Refereed Book Chapters
Vinson, D. W., Dale, R., Tabatabaeian, M., & Duran, N. D. (2015). Seeing and believing: Social influences on language processing. In Mishra, R. K., Srinivasan, N., & Huettig, F. (Eds.) Attention and Vision in Language Processing. Springer: India. (pp. 197-213).
Duran, N. D., & Dale, R. (2014). Theory of mind. In T. R. Levine (Ed.), Encyclopedia of Deception (pp. 883-886).
Duran, N. D., & Street, C. H. (2014). Nonverbal cues. In T. R. Levine (Ed.), Encyclopedia of Deception (pp 721-724).
Dale, R., Duran, N. D., & Roche, J. (2011). Dynamics of action during language processing. In R. K. Mishra & N. Srinivasan (Eds.), Language-Cognition Interface: State of the Art (pp. 114-135). Muenchen: LINCOM Europa.
Refereed Commentaries
Duran, N. D., Dale, R., & Richardson, D. (2014). A mass assembly of associative mechanisms: a dynamical systems account of natural social interaction. Behavioral and Brain Sciences (commentary), 37, 198.