Vitae

Xi, Q., Chiovaro, M., Windsor, L. C., & Paxton, A. (in preparation). Online emotion diffusion and its coupling with real-world collective action in Syria during the Arab Spring [Registered report].

Paxton, A., Richardson, D. C., & Dale, R. (in preparation). Seeing the other side: Conflict and controversy increase gaze coordination.

Mankovich, A., Wittke, K., Blume, J., Mastergeorge, A. M., Paxton, A., & Naigles, L. R. (in preparation). Say that again: Quantifying patterns of grammatical production for children with ASD using recurrence analysis.

Hall, C., Kim, J. C., & Paxton, A. (under revision). Multidimensional recurrence quantification analysis of human-metronome phasing.

Chiovaro, M., & Paxton, A. (under revision). Natural, nonlinear, and noisy: A quantitative approach to the collection and analysis of real-world social behavior.

Jiang, S., Paxton, A., Ramírez-Esparza, N., & García-Sierra, A. (submitted). Toward a dynamic approach of person perception at zero acquaintance: Applying recurrence quantification analysis to thin slices.

Paxton, A., Varoquaux, N., Holdgraf, C., & Geiger, R. S. (accepted). Community, time, and (con)text: Online communication patterns in open-source software communities and their implications for community health. Cognitive Science.

Schwab, S. M., Carver, N. S., Forman, M., Abney, D. H., Davis, T. J., Riley, M. A., Paxton, A., & Silva, P. L. (2022). Child-caregiver interactions during a collaborative motor task in children with cerebral palsy: A descriptive exploratory study. Journal of Developmental and Physical Disabilities, 34, 255-277. doi: 10.1007/s10882-021-09798-6

Romero, V., & Paxton, A. (2021). Visual information and communication context as modulators of interpersonal coordination in face-to-face and videoconference-based interactions [Registered report]. Acta Psychologica, 221, 103453. doi: 10.1016/j.actpsy.2021.103453

Pouw, W., de Jonge-Hoekstra, L., Harrison, S. J., Paxton, A., & Dixon, J. (2021). Gesture-speech physics in fluid speech and rhythmic hand movement. Annals of the New York Academy of Sciences, 1491(1), 89-105. doi: 10.1111/nyas.14532

Paxton, A.*, Roche, J. M.*, Ibarra, A., & Tanenhaus, M. K. (2021). Predictions of miscommunication in verbal communication during collaborative joint action. Journal of Speech, Language, and Hearing Research, 64(2), 613-627.

De Bari, B., Paxton, A., Dixon, J. A., Kondepudi, D., & Kay, B. A. (2021). Functional interdependence in coupled dissipative structures: Physical foundations of biological intra- and inter-organism. Entropy, 23(5), 614. doi: 10.3390/e23050614

Chiovaro, M., Windsor, L. C.*, Windsor, A., & Paxton, A.* (2021). Online social cohesion reflects real-world group action in Syria during the Arab Spring. PLOS ONE, 16(7), e0254087. doi: 10.1371/journal.pone.0254087

Abney, D., Paxton, A., Dale, R., & Kello, C. (2021). Cooperation in sound and motion: Complexity matching in collaborative interaction. Journal of Experimental Psychology: General, 150(9), 1760-1771. doi: 10.1037/xge0001018

Pouw, W., Paxton, A., Harrison, S. J., & Dixon, J. (2020). Reply to Ravignani and Kotz: Physical impulses from upper-limb movements impact the respiratory-vocal system. Proceedings of the National Academy of Sciences, 117(38), 23225-23226. doi: 10.1073/pnas.2015452117

Chiovaro, M., & Paxton, A. (2020). Ecological psychology meets ecology: Apis mellifera as a model for perception-action, social dynamics, and human factors. Ecological Psychology, 32(4), 192-213. doi: 10.1080/10407413.2020.1836966

Pouw, W., Paxton, A., Harrison, S. J., & Dixon, J. (2020). Acoustic information about upper limb movement in voicing. Proceedings of the National Academy of Sciences, 117(21), 11364-11367. doi: 10.1073/pnas.2004163117.

Chiovaro, M., & Paxton, A. (2020). Action coordination in non-human self-organizing collectives: Multidisciplinary lessons from living and nonliving systems. Ecological Psychology, 32(4), 139-142. doi: 10.1080/10407413.2020.1842136

Müller-Frommeyer, L. C., Kauffeld, S., & Paxton, A. (2020). Beyond consistency: Contextual dependency of language style in monologue and conversation. Cognitive Science, 44(4), e12834. doi: 10.1111/cogs.12834

DeMasi, O.*, Paxton, A.*, & Koy, K. (2020). Ad hoc efforts for advancing data science education. PLOS Computational Biology, 16(5), e1007695. doi: 10.1371/journal.pcbi.1007695

Blau, J. J. C., & Paxton, A. (2020). Scale-independent aggression: A fractal analysis of four levels of human aggression. Complexity, 2020, 2047157.

Paxton, A., & Tullett, A. (2019). Open science in data-intensive psychology and cognitive science. Policy Insights from the Behavioral and Brain Sciences, 6(1), 47-55. doi: 10.1177/2372732218790283.

Duran, N., Paxton, A., & Fusaroli, R. (2019). ALIGN: Analyzing Linguistic Interactions with Generalizable techNiques. Psychological Methods, 24(4), 419-438. doi: 10.1037/met0000206

Smith, G. K., Mills, C., Paxton, A., & Christoff, K. (2018). Mind wandering rates fluctuate across the day: Evidence from an experience sampling study. Cognitive Research: Principles & Implications, 3, 54. doi: 10.1186/s41235-018-0141-4

Paxton, A., & Griffiths, T. L. (2017). Finding the traces of behavior and cognition in big data and naturally occurring datasets. Behavior Research Methods, 49(5), 1630–1638.

Paxton, A., & Dale, R. (2017). Interpersonal movement synchrony responds to high- and low-level conversational constraints. Frontiers in Psychology, 8, 1135.

Main, A., Paxton, A., & Dale, R. (2016). An exploratory analysis of dynamic emotion regulation between mothers and adolescents during conflict discussions. Emotion, 16(6), 913-928.

Paxton, A., Rodriguez, K., & Dale, R. (2015). PsyGlass: Capitalizing on Google Glass for naturalistic data collection. Behavior Research Methods, 47(3), 608-619.

Fusaroli, R., Perlman, M., Mislove, A., Paxton, A., Matlock, T., & Dale, R. (2015). Timescales of massive human entrainment. PLOS ONE, 10(4), e0122742.

Abney, D., Paxton, A., Dale, R., & Kello, C. (2015). Movement dynamics reflect a functional role for weak coupling and role structure in dyadic problem solving. Cognitive Processing, 16(4), 325-332.

Abney, D., Paxton, A., Dale, R., & Kello, C.T. (2014). Complexity matching in dyadic interaction. Journal of Experimental Psychology: General, 143(6), 2304-2315.

Tollefsen, D., Dale, R., & Paxton, A. (2013). Alignment, transactive memory, and collective cognitive systems. Review of Philosophy and Psychology, 4(1), 49-64.

Paxton, A., & Dale, R. (2013). Argument disrupts interpersonal synchrony. Quarterly Journal of Experimental Psychology, 66(11), 2092-2102.

Paxton, A., & Dale, R. (2013). Frame-differencing methods for measuring bodily synchrony in conversation. Behavior Research Methods, 45(2), 329-343.

Sharmin, S., Ivan, J. N., Kerry, M. L., Paxton, A., & Tucker, A. (forthcoming, 2022). Driver psychology latent classes as predictors of traffic incident occurrence in Naturalistic Driving Study (NDS) data. To appear in Proceedings of the Transportation Research Board 2022 Annual Meeting. Washington, D.C.: National Academies of Sciences, Engineering, and Medicine.

Chiovaro, M., Windsor, L. C., & Paxton, A. (2019). Vector autoregression, cross-correlation, and cross-recurrence quantification analysis: A case study in social cohesion and collective action. In Proceedings of the 43rd Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

Pouw, W., de Jonge-Hoekstra, L., Harrison, S. J., Paxton, A., & Dixon, J. (2020). Gesture-speech physics in fluent speech and rhythmic upper limb movements. In A. Grimminger (Ed.), Proceedings of the 7th Gesture and Speech in Interaction. Paderborn: Universitaetsbibliothek Paderborn.

Pouw, W., Paxton, A., Harrison, S. J., & Dixon, J. (2019). Acoustic specification of upper limb movement in voicing. In A. Grimminger (Ed.), Proceedings of the 6th Gesture and Speech in Interaction. Paderborn: Universitaetsbibliothek Paderborn.

Paxton, A., Blau, J. J. C., & Weston, M. (2019). The case for intersectionality in ecological psychology. In L. van Dijk and R. Withagen (Eds.), Studies in Perception and Action XX: Proceedings from the Twentieth International Conference on Perception and Action. Enschede: Ipskamp Printing.

Chiovaro, M., & Paxton, A. (2019). Nest-ed affordances. In L. van Dijk and R. Withagen (Eds.), Studies in Perception and Action XX: Proceedings from the Twentieth International Conference on Perception and Action. Enschede: Ipskamp Printing.

Blau, J. J. C., & Paxton, A. (2019). Scale-independent aggression. In L. van Dijk and R. Withagen (Eds.), Studies in Perception and Action XX: Proceedings from the Twentieth International Conference on Perception and Action. Enschede: Ipskamp Printing.

Paxton, A., Morgan, T. J. H., Suchow, J. W., & Griffiths, T.L. (2018). Interpersonal coordination of perception and memory in real-time online social experiments. In Proceedings of the 40th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

Paxton, A.*, Roche, J.*, & Tanenhaus, M. (2015). Communicative efficiency and miscommunication: The costs and benefits of variable language production. In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings, & P. P. Maglio (Eds.), Proceedings of the 37th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

Paxton, A., Roche, J. M., Ibarra, A., & Tananhaus, M. K. (2014). Failure to (mis)communicate: Linguistic convergence, lexical choice, and communicative success in dyadic problem solving. In P. M. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

Paxton, A., & Dale, R. (2014). Leveraging linguistic content and debater traits to predict debate outcomes. In P. M. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

Paxton, A., Abney, D., Kello, C. K., & Dale, R. (2014). Network analysis of multimodal, multiscale coordination in dyadic problem solving. In P. M. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

Roche, J. M., Paxton, A., Ibarra, A., & Tanenhaus, M. K. (2013). From minor mishap to major catastrophe: Lexical choice in miscommunication. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

Paxton, A., & Dale, R. (2013). Multimodal networks for interpersonal interaction and conversational contexts. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Meeting of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

Abney, D., Paxton, A., Kello, C.T., & Dale, R. (2013). Complexity matching in dyadic interaction. In P. Passos, J. Barrieros, R. Cordovil, D. Araújo, & F. Melo (Eds.), Studies in Perception and Action XII. Proceedings from the Seventeenth International Conference on Perception and Action.

Paxton, A. (2020). The Belmont Report in the age of big data: Ethics at the intersection of psychological science and data science. In S. E. Woo, L. Tay, & R. Proctor (Eds.), Big data methods for psychological research: New horizons and challenges (pp. 347-372). American Psychological Association. doi: 10.1037/0000193-016

Paxton, A. (2019). #PSBigData: Helping big data research become more ethical and more open. Psychonomic Society Featured Content.

Richardson, M. J., Paxton, A., & Kuznetsov, N. (2017). Nonlinear methods for understanding complex dynamical phenomena in psychological science. Psychological Science Agenda.

Paxton, A., Dale, R., & Richardson, D. C. (2016). Social coordination of verbal and nonverbal behaviors. In P. Passos, K. Davids, and C. Jia Yi (Eds.), Interpersonal coordination and performance in social systems. Routledge.

Paxton, A., & Dale, R. (2013). B(eo)W(u)LF: Facilitating recurrence analysis on multi-level language. arXiv:1308.2696 [cs.CL].