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ABOUT

PERSONAL DETAILS
4 First Walk, Room 809, Macquarie University, Sydney, NSW 2109, Australia
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michael.j.richardson@mq.edu.au
+61 2 9850 9894
Professor of Psychology, ARC Future Fellow, Department of Psychology, Center for Elite Performance Training and Expertise Macquarie University Available as freelance

BIO

ABOUT ME

I am a Professor in the Department of Psychology at Macquarie University in Sydney, Australia. My research is directed towards understanding the lawful dynamics of human perception, action, and cognition. I have expertise in experimental and applied psychology, cognitive science, human-movement science, perception-action, joint-action and social coordination, virtual-reality, complex systems, quantitative and statistical analysis methods, and dynamical modeling. I teach a range of graduate and undergraduate courses on these topics, as well as workshops on nonlinear time-series analysis and dynamical systems modeling.
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RESUME

EDUCATION
  • 2000
    2005
    CONNECTICUT, USA

    Experimental Psychology - PhD

    UNIVERSITY OF CONNECTICUT

    Center for Ecological Study of Perception and Action, Department of Psychology
  • 1998
    2000
    CHRISTCHURCH, NZ

    Psychology - M. S.

    UNIVERSITY OF CANTERBURY, NZ

    Department of Psychology
  • 1994
    1997
    CHRISTCHURCH, NZ

    Psychology - BA.

    CHRISTCHURCH, NZ

    Department of Psychology
ACADEMIC AND PROFESSIONAL POSITIONS
  • 2017
    PRESENT
    SYDNEY, NSW, AUSTRALIA

    PROFESSOR

    MACQUARIE UNIVERSITY

    Department of Psychology Center for Elite Performance, Expertise and Training
  • 2009
    2017
    CINCINNATI, OH, USA

    ASSOCIATE PROFESSOR

    UNIVERSITY OF CINCINNATI

    Center for Cognition, Action and Perception Department of Psychology
  • 2006
    2009
    MAINE, USA

    ASSISTANT PROFESSOR

    COLBY COLLEGE

    Department of Psychology
RESEARCH GRANTS
  • 2019
    2023
    Macquarie University, Australia

    Developing Responsive and Adaptive Artificial-Agents for

    Australian Department of Defence, Science and Technology, Human Performance Research Network (HPRnet) Project (ID9024, AUD $480,000).

    Richardson, M. J., Kallen, R. W., Dras, M., Reichle, E., and Nalepka, P.
  • 2019
    2023
    Macquarie University, Australia

    ARC Future Fellowship: Modelling human perceptual-motor interaction for human-machine applications.

    Australian Research Council (ARC) (FT180100447, AUD $993,643).

    Richardson, M. J.
  • 2019
    2019
    Macquarie University, Australia

    Modelling human perceptual-motor interaction for human-machine applications.

    Australian Department of Defence, Science and Technology Group (MyIP8655, AUD $59,986)

    Richardson, M. J., Kallen, R. W., and Nalepka, P.
  • 2016
    2018
    University of Cincinnati, USA

    Cambridge New Directions: Inner Speech and Cognitive Phenomenology.

    John Templeton Foundation and the University of Cambridge (RG73416, USD $150,790).

    Langland-Hassan, P., & Co-PI Dietz, A., and Richardson, M. J.
  • 2013
    2018
    University of Cincinnati, USA

    Modeling the Behavioral Dynamics of Social Action and Coordination.

    NIH - National Institute of General Medical Sciences (R01GM105045, USD $1,422,393).

    Richardson, M. J., Kallen, R. W., Harrison, S. J., Saltzman, E and Schmidt, R. C
  • 2016
    2018
    University of Cincinnati, USA

    Development of a neurophysiologically integrated exoskeleton for sit-to-stand (STS) transition support based on multimodal action intent recognition

    UC Strategic Collaborative Grant (USD $99,876).

    Lorenz, T., Kumar, M., Kiefer, A., Ralescu, R., and Richardson, M. J.,
  • 2012
    2014
    University of Cincinnati, USA

    Evaluating the Time-Dependent Unfolding of Social Interactions in Autism.

    NIH - National Institute of Mental Health (1R21MH094659, USD $449,609).

    Richardson, M. J., Fitzpatrick, P. A., Schmidt, R. C., Bishop, S. L. and Duncan, A.
  • 2008
    2012
    University of Cincinnati, USA

    Collaborative Research: Dynamics of Interpersonal Coordination and Embodied Communication.

    National Science Foundation, BCS (Award #0926662 for USD $418,809).

    Shockley, K., Riley, M., Richardson, M. J., and Dale, R
  • 2008
    2011
    Colby College and University of Cincinnati, USA

    Collaborative Research (RUI): Perceptual Pick-up Processes in Interpersonal Coordination.

    National Science Foundation, BCS (Award # 0750190 for USD $118,817).

    Richardson, M. J., and R. C. Schmidt
  • 2004
    2008
    University of Connecticut, USA

    Affordances for Cooperation as a Dynamical System.

    National Science Foundation, BCS (Award # 0340277 for USD $ 327,750).

    Marsh, K. L., Richardson, M. J., Baron, R. M. and Carello, C.
  • 2003
    2006
    University of Connecticut and College of Holy Cross, USA

    Informational Constraints on Interpersonal Coordination.

    National Science Foundation, BCS (Award # 0240277 for USD $194,886).

    Schmidt, R.C., Richardson, M. J., Fowler, C. A., and Marsh, K. L.
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RESEARCH

CURRENT RESEARCH PROJECTS

Developing Responsive and Adaptive Artificial-Agents for Team Training.

Human Performance Research Network (HPRnet) Project, Australian Department of Defence

Teams form the fundamental structure of military forces and effective team training is therefore critical for mission success. Such training requires that training scenarios include intact teams and promote self-guided learning via simulated mission contexts. A major challenge to engaging in such training is ensuring that sufficient numbers of active duty personnel are able to participate, and team training programs are tailored to the individual needs of trainees. One way to overcome these challenges is to incorporate artificial agents (AAs) within the training context.

The effectiveness of human-AA team training depends on the ability of AAs to adapt to human co-actors in a seamless manner. In order to enhance real-world outcomes, AAs must also incorporate natural, human-like patterns of behavioural action, decision-making, and communication. As such, ensuring effective human-AA team training requires modelling the behavioural dynamics of successful human performance and then implementing these models within the control architecture of AAs.

According, the proposed project has two primary research AIMS:

AIM 1: Demonstrate how human performance and communication within complex team settings can be modelled using a hierarchical framework of dynamical action and decision-making primitives and generative deep-learning based NLP methods.

AIM 2: Demonstrate how hierarchical models of complex human performance and communication (composed of dynamical action and decision-making primitives, and deep-learning based NLP methods) can be employed to develop AAs capable of effective team training within tactical action and command-and-control task contexts.

COLLABORATORS: Rachel Kallen (Macquarie University), Mark Dras (Macquarie University, Computing), Erik Reichle (Macquarie University), Patrick Nalepka (Macquarie University), Chris Best (DST), Simon Hosking (DST)

HDR STUDENTS and RAs: Fred Amouzgar, Matt Prants, Lillian Rigoli, James Simpson.

Modelling human perceptual-motor interaction for human-machine applications.

ARC Future Fellowship Project

The project aims to develop a new modelling framework for identifying the perceptual-motor processes that underlie cooperative and competitive human interaction. The project will also determine whether this modelling framework can be combined with modern machine-learning methods to develop artificial agents capable of human level performance. Expected outcomes will include a practical methodology for rapidly generating models of effective human interaction that can be easily implemented in human-machine systems. Benefits will include a richer understanding of the fundamental perceptual-motor processes that support robust human interaction and enhanced the effectiveness of human-machine collaboration and training technologies.

Advances in cyber-technology have created new opportunities for human-machine interaction. Developing artificial agents that can naturally respond to the movements and actions of human actors is essential for the success of such systems and requires identifying and modelling the perceptual-motor processes that underlie cooperative and competitive social activity. This project will identify these processes and produce a practical methodology for implementing them in interactive artificial agents. The project outcomes will be applicable across a range of research and industrial settings, and will therefore have social and economic benefits and strengthen Australia’s international standing in human-machine interaction research and development.

COLLABORATORS: Rachel Kallen (Macquarie University), Gaurav Patil (Macquarie University), Patrick Nalepka (Macquarie University), Mario di Bernardo (University of Naples Federico II, Itlay), Elliot Salztman (Boston University), Maurice Lamb (University of Skovde, Sweden), Tamara Lorenz (University of Cincinnati)

HDR STUDENTS and RAs: Lillian Rigoli, James Simpson, Cassandra Crone

Self-Organized Interpersonal Anticipation and Anticipatory Synchronization

Time-Delay Coupling and Temporal Feedback delays can Enhance Joint-Action Anticipatory Coordination

Recent research in physics has uncovered evidence to suggest that small temporal feedback delays may actually enhance (rather than hinder) an individual’s ability to synchronize with unpredictable, chaotic events. This counter intuitive phenomenon is referred to as self-organized anticipatory coordination. We have been exploring whether the lawful process of self-organized anticipatory coordination might also underlie the ability of individuals to anticipate the complex and seemingly unpredictable behaviors of co-actors during social interaction. We are also exploring whether dynamical and computational models that incorporate small time-delay coupling functions are able to foster and enhance anticipatory behavior during human-machine interaction.

COLLABORATORS: Auriel Washburn (Stanford University), Rachel Kallen (Macquarie University), Kevin Shockley (USA, Psychology) and Nigel Stepp (HRL Laboratories, CA), Gaurav Patil (Macquarie University)

SELECT PUBLICATIONS:

Washburn, A., Kallen, R. W., Lamb, M., Stepp, N., Shockley, K., & Richardson, M. J. (2019). Feedback delays can enhance anticipatory synchronization in human-machine interaction. PloS one, 14(8).

Washburn, A., Kallen, R. W., Shockley, K., & Richardson, M. J. (2015). Harmony from Chaos: Anticipatory Synchronization and Complexity Matching in Aperiodic Interpersonal Coordination. Journal of Experimental Psychology: Human Perception and Performance. DOI:10.1037/xhp0000080

Embedded Multi-Agent Dynamics

Modeling the Behavioral Dynamics of Social Action and Coordination. NIH - National Institute of General Medical Sciences Project

A fundamental feature of social behavior is face-to-face, co-present interaction. The success of such interactions, whether measured in terms of social connection, goal achievement, or the ability of an individual or group of individuals to know and predict the meaningful intentions and behaviors of others, is not only dependent on the neural and representational processes of social cognition and perception, but also on the physical (environmental) and perceptual-motor processes that make such face-to-face and co-present interaction possible. A primary goal of my research program is to model the complex dynamics of such goal-directed social and multi-agent activity, in an attempt to explain how the dynamics of such behavioral activity is an emergent and self-organized consequence of the complex interactions that exist between physical, neural, informational, and social properties. This involves developing dynamical and computational models of the temporal and spatial patterns of social interaction and coordination across a wide range of prototypical social and multi-agent behaviors.

COLLABORATORS: Rachel Kallen (Macquarie University), R. C. Schmidt (College of the Holy Cross), Dr. Elliot Saltzman (Boston University), Steven J. Harrison (University of Connecticut), Maurice Lamb (); Patrick Nalpeka (Macquarie University); Anthony Chemero (University of Cincinnati)

HDR STUDENTS and RAs: Lillian Rigoli

SELECT PUBLICATIONS:

Nalepka, P., Lamb, M., Kallen, R. W., Shockley, K., Chemero, A., Saltzman, E., & Richardson, M. J. (2019). Human social motor solutions for human–machine interaction in dynamical task contexts. Proceedings of the National Academy of Sciences, 201813164.

Lamb, M., *Nalepka, P., Kallen, R. W., Lorenz, T., Harrison, S. J., Minai, A. A., & Richardson, M. J. (2019). A Hierarchical Behavioral Dynamic Approach for Naturally Adaptive Human-Agent Pick-and-Place Interactions. Complexity, p1-16, DOI: 10.1155/2019/5964632

Lamb, M., Kallen, R. W., Harrison, S. J., Di Bernardo, M., Minai, A., & Richardson, M. J. (2017). To Pass or Not to Pass: Modeling the Movement and Affordance Dynamics of a Pick and Place Task. Frontiers in Psychology, 8

Nalepka, P., Kallen, R. W., Chemero, A., Saltzman, E., & Richardson, M .J. (2017). Herd Those Sheep: Emergent multiagent coordination and behavioral mode switching. Psychological Science. DOI: 10.1177/0956797617692107.

Richardson, M., Kallen, R., Nalepka, P., Harrison, S., Lamb, M., Chemero, A., Saltzman, E. and Schmidt, R. (2016). Modeling Embedded Interpersonal and Multiagent Coordination. In Proceedings of the 1st International Conference on Complex Information Systems (COMPLEXIS 2016), pp.155-164.

Richardson, M. J., Harrison, S. J., Kallen, R. W., Walton, A., Eiler, B., & Schmidt, R. C. (2015). Self-Organized Complementary Coordination: Dynamics of an Interpersonal Collision-Avoidance Task. Journal of Experimental Psychology: Human Perception and Performance. 41, 665-79.

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Recent Publications

For a full list of my publications:

Washburn, A., Kallen, R. W., Lamb, M., Stepp, N., Shockley, K., & Richardson, M. J. (2019). Feedback delays can enhance anticipatory synchronization in human-machine interaction. PloS one14(8), e0221275.

Lamb, M., Nalepka, P., Kallen, R. W., Lorenz, T., Harrison, S. J., Minai, A. A., & Richardson, M. J. (2019). A Hierarchical Behavioral Dynamic Approach for Naturally Adaptive Human-Agent Pick-and-Place Interactions. Complexity, p1-16, DOI: 10.1155/2019/5964632

Chauvigné, L. A., Walton, A., Richardson, M. J., & Brown, S. (2019). Multi-person and multisensory synchronization during group dancing. Human movement science63, 199-208.

Nordbeck, P. C., Soter, L. K., Viklund, J. S., Beckmann, E. A., Kallen, R. W., Chemero, A. P., & Richardson, M. J. (2019). Effects of task constraint on action dynamics. Cognitive Systems Research55, 192-204.

Nalepka, P., Lamb, M., Kallen, R. W., Shockley, K., Chemero, A., Saltzman, E., & Richardson, M. J. (2019). Human social motor solutions for human–machine interaction in dynamical task contexts. Proceedings of the National Academy of Sciences, 201813164.

Jenkins N. B., Hunter, J, F., Richardson, M. J., Conner, T. S., & Pressman, S. D. (2019) Affect Variability and Predictability: Using Recurrence Quantification Analysis to Better Understand How the Dynamics of Affect Relate to Health. Emotion.

Coey, C. A., Kallen, R. W., Chemero, A., & & Richardson, M. J. (2018). Exploring complexity matching and asynchrony dynamics in synchronized and syncopated task performances. Human Movement Science, 62, 81-104.

Walton, A., Washburn, A., Langland-Hassan, P., Chemero, A., Kloos, H., & Richardson, M. J. (2018). Creating time: social collaboration in music improvisation. Topics in Cognitive Science, 10, 95-119.

Romero, V., Fitzpatrick, P., Roulier, S., Duncan, A., Richardson, M. J., & Schmidt, R. C. (2018). Evidence of embodied social competence during conversation in high functioning children with autism spectrum disorder. PloS one13(3), e0193906.

Patil, G., Rigoli, L., Richardson, M. J., Kumar, M., & Lorenz, T. (2018). Momentum-based trajectory planning for lower-limb exoskeletons supporting sit-to-stand transitions. International Journal of Intelligent Robotics and Applications2(2), 180-192.

Kiefer, A. W., Pincus, D., Richardson, M. J., & Myer, G. D. (2017). virtual reality As a training tool to treat Physical inactivity in children. Frontiers in public health5, 349.

Eiler, B. A., Kallen, R. W. & Richardson, M. J. (2017). Interaction dominant dynamics, timescale enslavement and the emergence of social behavior. In R. Vallacher, S. Read, & A. Nowak (Eds.), Computational Social Psychology (pp. 105-126). NY: Routledge.

Langland-Hassan, P., Gauker, C., Faries, F., Richardson, M. J., & Dietz, A. (2017). Metacognitive deficits in categorization tasks in a population with impaired inner speech. Acta Psychologica, 181, 62-74.

Varlet, M., Schmidt, R. C., & Richardson, M. J. (2017). Influence of stimulus velocity profile on visuomotor entrainment depends on eye movements. Experimental Brain Research,11, 3279-3286

Lamb, M., Kallen, R. W., Harrison, S. J., Di Bernardo, M., Minai, A., & Richardson, M. J. (2017). To Pass or Not to Pass: Modeling the Movement and Affordance Dynamics of a Pick and Place Task. Frontiers in Psychology8.

Fitzpatrick, P., Romero, V., Amaral, J., Duncan, A., Barnard, H., Richardson, M. J., & Schmidt, R. C. (2017). Evaluating the importance of social motor synchronization and motor skill for understanding autism. Autism Research, 10, 1687-1699.

Fitzpatrick, P., Romero, V., Amaral, J. L., Duncan, A., Barnard, H., Richardson, M. J., & Schmidt, R. C. (2017). Social Motor Synchronization: Insights for Understanding Social Behavior in Autism. Journal of Autism and Developmental Disorders, 1-16.

Amaral, J. L., Romero, V., Kloos, H., & Richardson, M. J. (2017). Complexity and Autism Spectrum Disorder: Exploring Hysteresis in A Grasping Task. AIMS Medical Science, 4, 113-130.

Nalepka, P., Kallen, R. W., Chemero, A., Saltzman, E., & Richardson, M. J. (2017). Herd Those Sheep: Emergent multiagent coordination and behavioral mode switching. Psychological Science. DOI: 10.1177/0956797617692107.

Kijima, A., Shima, H., Okumura, M., Yamamoto, Y., & Richardson, M. J. (2017) Effects of Agent-Environment Symmetry on the coordination dynamics of triadic jumping. Frontiers in Cognitive Science. 8:3. doi: 10.3389/fpsyg.2017.00003.

Romero, V., Amaral, J., Fitzpatrick, P., Schmidt, R. C., Duncan, A. W., & Richardson, M. J. (2017). Can low-cost motion-tracking systems substitute a Polhemus system when researching social motor coordination in children? Behavior Research Methods, 1-14.

Favela, L. H., Coey, C. A., Griff, E. R., & Richardson, M. J., (2016). Fractal analysis reveals subclasses of neurons and suggests an explanation of their spontaneous activity. Neuroscience Letters.

Varlet, M., Richardson, M. J. & Schmidt, R. C. (2016). Noise can facilitate spontaneous movement synchronization. Journal of Motor Behavior. DOI:10.1080/00222895.2015.1050548

Coey, C. A., Washburn, A., ˠHassebrock, J., & Richardson, M. J. (2016). Complexity matching effects in bimanual and interpersonal syncopated finger tapping. Neuroscience letters, 616, 204-210.

Castillo, R. D., Kloos, H., Richardson, M. J. & Waltzer, T., L. (2015).  Beliefs as Self-Sustaining Networks: Drawing Parallels between Networks of Ecosystems and Adults’ Predictions. Frontiers in Psychology. 6:1723. doi: 10.3389/fpsyg.2015.01723

Wallot, S., Coey, C. A., & Richardson, M. J. (2015) Cue predictability changes scaling in eye-movement fluctuations. Attention, Perception, & Psychophysics, 77, 2169–2180.

Romero, V., Kallen, R. W., Riley, M. A., & Richardson, M. J., (2015). Can joint action be synergistic? Studying the stabilization of interpersonal hand coordination. Journal of Experimental Psychology: Human Perception and Performance. DOI:10.1037/xhp0000083

Washburn, A., Kallen, R. W., Shockley, K., & Richardson, M. J. (2015). Harmony from chaos: anticipatory synchronization and complexity matching in aperiodic interpersonal coordination. Journal of Experimental Psychology: Human Perception and Performance. DOI:10.1037/xhp0000080

Langland-Hassan, P., Faries, F., Richardson, M. J., & Dietz, A. (2015). Inner Speech Deficits in People with Aphasia. Frontiers in Psychology. 6 (528). DOI:10.3389/fpsyg.2015.00528

Varlet, M., Bucci, C., Richardson, M. J. & Schmidt, R. C. (2015). Informational Constraints on Spontaneous Visuomotor Entrainment. Human Movement Science. 41, 265–281.

Castillo, R. D., Kloos, H., Holden, J. G., & Richardson, M. J. (2015). Long-range correlations and patterns of recurrence in children and adults’ attention to hierarchical displays. Frontiers in Physiology, 6, 138. doi: 10.3389/fphys.2015.00138.

Washburn, A. Coey, C. A., Romero, V.  Malone, M. L., & Richardson, M. J. (2015). Interaction of Intention and Environmental Constraints on the Fractal Dynamics of Human Performance. Cognitive Processing. DOI:10.1007/s10339-015-0652-6

Castillo, R. D., Kloos, H., Holden, J. D., & Richardson, M. J. (2015). Fractal Coordination in Adults’ Attention to Hierarchical Visual Patterns. Nonlinear Dynamics, Psychology, and Life Sciences. 19(2):147-72.

Richardson, M. J., & Kallen, R. W. (2015). Symmetry-Breaking and the Contextual Emergence of Human Multiagent Coordination and Social Activity. In E. Dzhafarov, S. Jordan, R. Zhang, and V. Cervantes (Eds.). Contextuality from Quantum Physics to Psychology. (pp. 229-286). World Scientific.

Coey, C. A., ˠHassebrock, J., Kloos, H., & Richardson, M. J. (2015). The Complexities of Keeping the Beat: Dynamical Structure in the Nested Behaviors of Finger Tapping. Attention, Perception & Psychophysics. DOI 10.3758/s13414-015-0842-4.

Richardson, M. J., Harrison, S. J., Kallen, R. W., Walton, A., Eiler, B., & Schmidt, R. C. (2015). Self-Organized Complementary Coordination: Dynamics of an Interpersonal Collision-Avoidance Task. Journal of Experimental Psychology: Human Perception and Performance. 41, 665-79.

Walton, A., Richardson, M. J., Langland-Hassan, P. & Chemero, A. (2015). Improvisation and the self-organization of multiple musical bodies. Frontiers in Psychology, 6, 313. doi: 10.3389/fpsyg.2015.00313.

Varlet, M., & Richardson, M. J. (2015). What Would Be Usain Bolt’s 100-Meter Sprint World Record Without Tyson Gay? Unintentional Interpersonal Synchronization Between the Two Sprinters. Journal of Experimental Psychology: Human Perception and Performance, 41, 36-41.

Wallot, S., Coey, C. A., & Richardson, M. J. (2015). Interdependence of saccadic and fixational fluctuations. Ecological Psychology. 27, 68-86

Walton, A., Richardson, M.J., Chemero, A. (2014). Self-organization and Semiosis in Jazz Improvisation. International Journal on Signs and Semiotics Systems. 1 (6). DOI:10.3389/fpsyg.2015.00313

Washburn, A., ˠDeMarco, M., de Vries, S., Ariyabuddhiphongs, K., Schmidt, R. C., Richardson, M. J., & Riley, M. A. (2014). Dancers Entrain More Effectively than Non-Dancers to Another Actor’s Movements. Frontiers in Human Neuroscience. doi: 10.3389/fnhum.2014.00800.

Tolston, M. T., Shockley, K., Riley, M. A., & Richardson, M. J. (2014). Movement constraints on interpersonal coordination and communication. Journal of Experimental Psychology: Human Perception and Performance, 40, 1891-1902.

Varlet, M., Coey, C., Schmidt, R. C., Marin, L., Bardy, B. G., & Richardson, M. J. (2014). Influence of stimulus velocity profile on rhythmic visuomotor coordination. Journal of Experimental Psychology: Human Perception and Performance, 40, 1849-1860.

Schmidt, R. C., Nie, L., ˠ Franco, A., & Richardson, M. J., (2014). Bodily synchronization underlying joke telling. Frontiers in Human Neuroscience, doi: 10.3389/fnhum.2014.00633.

Vesper, C., & Richardson, M. J. (2014). Strategic communication and behavioral coupling in asymmetric joint action. Experimental Brain Research, 232, 2945-2956.

Richardson, M. J. Dale R., & Marsh, K. L., (2014). Complex Dynamical Systems in Social and Personality Psychology: Theory, Modeling and Analysis. In H. T. Reis, and C. M. Judd. (Eds.). Handbook of Research Methods in Social and Personality Psychology, 2nd Edition. (pp. 253-282) New York, NY: Cambridge University Press.

Washburn, A. Coey, C. A., Romero, V. & Richardson, M. J. (2014). Unintentional Polyrhythmic Entrainment: Can 1:2, 2:3 and 3:4 Patterns of Visual Coordination Occur Spontaneously? Journal of Motor Control, 46, 247-57.

Malone, M., Castillo, R. D., Holden, J. D., Kloos, H., & Richardson, M. J. (2014). Dynamic Structure of Joint-Action Stimulus-Response Activity. PLoS ONE 9(2): e89032.

Duarte, R., Araújo, D., Correia, V., Davids, K., Marques, P., & Richardson, M. J. (2013). Competing together: Assessing the dynamics of team-team and player-team synchrony in professional association football. Human Movement Science. 32, 555–566.

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Links & Downloads

Other Research Laboratory and Profile Links

Software Downloads

All of the open source software and analysis code can be downloaded from my GitHub page: https://github.com/xkiwilabs 

Music

I am a better scientist than a musician. But if you like electronic/techno/house music feel free to check out some of my releases on Soundcloud @ Metastate Records