Interested in what the lab is working on? Or what we have already accomplished? This page includes a complete list of our publications or articles that are in press. You can download all of our papers directly from this page.
2024/In Press
Peña, J., Huskey, R., Gong, X., Andrews, M., Weisman, W., Kee, R., Klein, V., Sarieva, S., Kang., R., Schmälzle, R., & Hancock, J. (in press). Media Neuroscience on a Shoestring 2.0: Using AR and Mobile EEG Hyperscanning to Study Cooperation. Journal of Media Psychology. Theories, Methods, and Applications.
Gong, X., Kee, R., Snyder, A. Zhao, Z., & Huskey, R. (conditional acceptance). Some Tips For Running a Small, Scrappy, and Successful Communication Neuroscience Lab. In Edwards, C., Edwards, A., & Spence, P. (Eds.), Communication and Media Research Labs: A Blueprint for Success. London, UK: Palgrave Macmillan.
Kee, R. & Huskey, R. (conditional acceptance). Neurobiology of Flow and Optimal Performance. In Bigliassi, M., Mannino, M., & Kotler, S. (Eds.), Performance Neuroscience. Berlin, Germany: Springer Nature.
Huskey, R. & Schmälzle, R. (in press). Finding Middle Ground In Cognitive Media Psychology. In Shackleford, K. & Bowman, N. D. (Eds.), Oxford Handbook of Media Psychology. (2nd Edition). New York, NY: Oxford University Press.
Schmälzle, R., Wilcox, S., & Huskey, R. (in press). Brain imaging as a window into the biological basis of social cognition and communication. In Reimer, T., van Swol, L., & Florack, A. (Eds), The Routledge Handbook of Communication and Social Cognition. Routledge/Taylor & Francis.
Gong, X., & Huskey, R. (2024). Computational Modeling Entertainment Media Choice and Decision Making in Communication Science. In Bowman, N. D. (Ed.), Handbooks of Communication Science: Entertainment Media and Communication. (Volume 20, pp. 649-664.). Berlin, Germany: DeGruyter.
Gong, X., & Huskey, R. (2024). Consider The Time Dimension: Theorizing and Formalizing Sequential Media Selection. Human Communication Research. 5(2), 264-275. doi: 10.1093/hcr/hqad051
2023
Gong, X., & Huskey, R. (2023). Media Selection is Highly Predictable, In Principle. Computational Communication Research. 5(1), 1-32. doi: 10.5117/CCR2023.1.15.GONG
Gong, X. & Huskey, R. (2023). Moving Behavioral Experimentation Online: A Tutorial and Some Recommendations For Drift Diffusion Modeling. American Behavioral Scientist. doi: 10.1177/00027642231207073
Schmälzle, R. & Huskey, R. (2023). Skyhooks, Cranes, and the Construct Dump: An Extension of Boster 2023. Asian Communication Research. 20(2), 5-15. doi: 10.20879/acr.2023.20.016
Gong, X., Huskey, R., Eden, A., & Ulusoy, E. (2023). Computationally Modeling Mood Management Theory: A Drift-Diffusion Model of People’s Preferential Choice for Valence and Arousal in Media. Journal of Communication. 73(5), 476-493. doi: 10.1093/joc/jqad020
Schmälzle, R. & Huskey, R. (2023). Integrating Media Content Analysis, Reception Analysis, and Media Effects Studies. Frontiers in Neuroscience. 17, 1-17. doi: 10.3389/fnins.2023.1155750
Gong, X., Huskey, R. , Xue, H., Shen, C., & Frey, S. (2023). Broadcast information diffusion processes on social media networks: Exogenous events lead to more integrated public discourse. Journal of Communication, 73(3), 247–259. doi: doi.org/10.1093/joc/jqad014
2022
Kotler, S., Mannino, M., Kelso, S., & Huskey, R. (2022). First Few Seconds for Flow: A Comprehensive Proposal of the Neurobiology and Neurodynamics of State Onset. Neuroscience & Biobehavioral Reviews. 143, 104956. doi: 10.1016/j.neubiorev.2022.104956
Huskey, R. (2022). Understanding how we create understanding. Journal of Communication. Online Publication. doi: 10.1093/joc/jqab053
Bago, B., Aczel, B., Kekecs, Z., Protzko, J., Kovacs, M., . . . , Huskey, R., . . . & Chartier, C. R. (2022). Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample. Nature Human Behaviour. 6, 880–895. doi: 10.1038/s41562-022-01319-5
Huskey, R., Keene., J. R., Wilcox, S., Gong., X. J., Adams, R., & Najera, C. J. (2022). Flexible and Modular Brain Network Dynamics Characterize Flow Experiences During Media Use: A Functional Magnetic Resonance Imaging Study. Journal of Communication, 72(1), 6–32. doi: 10.1093/joc/jqab044
2021
Bullock, O. M., Shulman, H. C., & Huskey, R. (2021). Narratives Are Persuasive Because They Are Easier to Understand: Examining Processing Fluency as a Mechanism of Narrative Persuasion. Frontiers in Communication. 6, 1–12. doi: 10.3389/fcomm.2021.719615
Wilcox, S., Huskey, R., & DeAndrea, D. (2021). Attitude consistent health messages about electronic cigarettes increase processing time: Perceiving message senders as socially close increases message recall. Journal of Media Psychology. Theories, Methods, and Applications, 34(4), 216–229. doi: 10.1027/1864-1105/a000312
Huskey, R. (2021). Gossip: More than just trash talk. Current Biology, 31(12), R781–R786. doi: 10.1016/j.cub.2021.04.048
Calcagnotto, L. A., Huskey, R., & Kosicki, G. M. (2021). The Accuracy and Precision of Measurement: Tools for Validating Reaction Time Stimuli. Computational Communication Research, 3(2), 131-151. doi: 10.5117/CCR2021.2.001.CALC
Dienlin, T., Johannes, N., Bowman, N. D., Masur, P. K., Engesser, S., …, Huskey, R., …, & Vreese C. D. (2021). An agenda for open science in communication. Journal of Communication, 71(1), 1–26. doi: 10.1093/joc/jqz052
2020
Huskey, R., Turner, B. O., & Weber, R. (2020). Individual differences in brain responses: New opportunities for tailoring health communication campaigns. Frontiers in Human Neuroscience, 14, 1-17. doi: 10.3389/fnhum.2020.565973
Huskey, R., Wilcox, S., Clayton, R., & Keene, J. R. (2020). The Limited Capacity Model of Motivated Mediated Message Processing: Meta-analytically summarizing two decades of research. Annals of the International Communication Association, 44(4), 322–349. doi: 10.1080/23808985.2020.1839939
Hopp, F. R., Fisher, J. T., Cornell, D., Huskey, R., & Weber, R. (2020). The extended moral foundations dictionary (eMFD): Development and applications of a crowd-sourced approach to extracting moral intuitions from text. Behavior Research Methods, 3(1), 232-246. doi: 10.3758/s13428-020-01433-0
Huskey R., Couture Bue, A., Eden, A., Grall, C., Meshi, D., … & Wilcox, S. (2020). Marr’s Tri-Level Framework Integrates Biological Explanation Across Communication Subfields. Journal of Communication, 70(3), 356–378. doi: 10.1093/joc/jqaa007
Fisher, J., Huskey, R., Keene, J., & Weber, R. (2020). The Life of a Model: Commentary on “How the LC4MP became the DHCCST”. In Weber, R., & Floyd, K., (Eds.) Handbook of Communication Science and Biology. (Volume 1. pp. 409-415). New York, NY: Routledge
2019
Nabi, R., Huskey, R., Nicholls, S., Keblusek, L., & Reed, M. (2019). When audiences become advocates: Self-induced behavior change through health message posting in social media. Computers in Human Behavior, 99, 260-267. doi: 10.1016/j.chb.2019.05.030
Turner, B., Huskey, R., & Weber, R (2019). Charting a Future for fMRI in Communication Science. Communication Methods and Measures, 13(1), 1-18. doi: 10.1080/19312458.2018.1520823
2018
Fisher, J., Huskey, R., Keene, J., & Weber, R. (2018). The Limited Capacity Model of Motivated Mediated Message Processing: Looking to the future. Annals of the International Communication Association, 42(4), 291-315. doi: 10.1080/23808985.2018.1534551
Fisher, J., Keene, J., Huskey, R., & Weber, R. (2018). The Limited Capacity Model of Motivated Mediated Message Processing: Taking stock of the past. Annals of the International Communication Association, 42(4), 270-290. doi: 10.1080/23808985.2018.1534552
Huskey, R., Wilcox, S., & Weber, R. (2018). Network Neuroscience Reveals Distinct Neuromarkers of Flow During Media Use. Journal of Communication. 68(5), 872-895. doi: 10.1093/joc/jqy043
Huskey, R., Craighead, B., Miller, M. B., & Weber, R. (2018). Does Intrinsic Reward Motivate Cognitive Control? A Naturalistic-fMRI Study Based on the Synchronization Theory of Flow. Cognitive, Affective, and Behavioral Neuroscience, 18(5), 902-924. doi: 10.3758/s13415-018-0612-6
Weber, R., Alicea, B., Huskey, R., & Mathiak. K. (2018). Network Dynamics of Attention During a Naturalistic Behavioral Paradigm. Frontiers in Human Neuroscience, 12(182), 1-14. doi: 10.3389/fnhum.2018.00182
Huskey, R., Bowman, N., Eden, A., Grizzard, M., Hahn, L., Lewis, R., Matthews, N., Tamborini, R., Walther, J. B., & Weber, R. (2018). Things we know about media and morality. Nature Human Behaviour, 2, 315. doi: 10.1038/s41562-018-0349-9
Weber, R., Mangus, J. M., Huskey, R., Hopp, F. R., Amir, O., Swanson, R., Gordon, A. S., Khooshabeh, P., Hahn, L., & Tamborini, R. (2018). Extracting latent moral information from text narratives: Relevance, challenges, and solutions. Communication Methods and Measures, 12(2-3), 119-139. doi: 10.1080/19312458.2018.1447656
2017
Huskey, R., Mangus, J. M., Turner, B. O., & Weber, R. (2017). The persuasion network is modulated by drug-use risk and predicts anti-drug message effectiveness. Social Cognitive and Affective Neuroscience, 12(12), 1902 – 1915. doi: 10.1093/scan/nsx126
Swanson, R., Gordon, A. S., Khooshabeh, P., Sagae, K., Huskey, R., Mangus, J. M., Amir, O., & Weber, R. (2017). An empirical analysis of subjectivity and narrative levels in personal weblog storytelling across cultures. Dialogue and Discourse, 8(2), 105 – 128. doi: 10.5087/dad.2017.205
Huskey, R., Craighead, B., & Weber, R. (2017). Evolutionary approaches to media processes and effects. In P. Roessler, C. Hoffner, & L. van Zoonen (Eds.), The international encyclopedia of media effects. Hoboken, NJ: John Wiley & Sons, Inc.
Weber, R., Huskey, R., & Craighead, B. (2017). Flow experiences and wellbeing: A media neuroscience perspective. In M. B. Oliver & L. Reinecke (Eds.), Handbook of media use and wellbeing: International perspectives on theory and research on positive media effects. (Volume 1.pp. 183 – 196). New York, NY: Routledge.
2016
Huskey, R. (2016). Beyond blobology: Using psychophysiological interaction analyses to investigate the neural basis of human communication phenomena. In S. Kubitschko & A. Kaun (Eds.), Innovative methods in media and communication research. (Volume 1. pp.123 – 138). London, UK: Palgrave Macmillan.
2015
Behr, K. M., Huskey, R., & Weber, R. (2015). Creative interactivity: Customizing and creating game content. In G. Green & J. C. Kaufman (Eds.), Video games and creativity: Explorations in creativity research (Volume 1. pp. 285 – 296). New York, NY: Academic Press.
Craighead, B., Huskey, R., & Weber, R. (2015). Video game addiction: What can we learn from a media neuroscience perspective? Revista Argentina de Ciencias del Comportamiento, 7(3), 119-131.
Weber, R., Eden, A., Huskey, R., Mangus, J. M., & Falk, E. (2015). Bridging media psychology and cognitive neuroscience: Challenges and opportunities. Journal of Media Psychology. Theories, Methods, and Applications, 27(3), 146–156. doi: 10.1027/18641105/a000163
Weber, R., Mangus, J. M., & Huskey, R. (2015). Brain imaging in communication research: A practical guide to understanding and evaluating fMRI studies. Communication Methods and Measures, 9(1–2), 5–29. doi: 10.1080/19312458.2014.999754
Weber, R., Huskey, R., Mangus, J. M., Westcott-Baker, A., & Turner, B.(2015). Neural predictors of message effectiveness during counterarguing in anti-drug campaigns. Communication Monographs, 82(1), 4–30.doi:10.1080/03637751.2014.971414
2014
Huskey, R., Adams, A., Craighead, B., & Weber, R. (2014). Evolution rules: Can signaling theory predict aggressive behaviors in video games? In A. V. Stavros (Ed.), Advances in communications and media research (Volume 10. pp. 47 – 63). Hauppauge, NY: Nova Science Publishers.