Travis J. Wiltshire
Cited by
Cited by
Toward understanding social cues and signals in human–robot interaction: effects of robot gaze and proxemic behavior
SM Fiore, TJ Wiltshire, EJC Lobato, FG Jentsch, WH Huang, B Axelrod
Frontiers in Psychology: Cognitive Science 4, 2013
Technology as Teammate: Examining the Role of External Cognition in Support of Team Cognitive Processes
SM Fiore, TJ Wiltshire
Frontiers in Psychology: Cognitive Science 7, 2016
Problem‐solving phase transitions during team collaboration
TJ Wiltshire, JE Butner, SM Fiore
Cognitive science 42 (1), 129-167, 2018
Interpersonal coordination dynamics in psychotherapy: A systematic review
TJ Wiltshire, JS Philipsen, SB Trasmundi, TW Jensen, SV Steffensen
Cognitive Therapy and Research 44 (4), 752-773, 2020
Multiscale movement coordination dynamics in collaborative team problem solving
TJ Wiltshire, SV Steffensen, SM Fiore
Applied ergonomics 79, 143-151, 2019
Evaluating emotional and biological sensitivity to maternal behavior among self-injuring and depressed adolescent girls using nonlinear dynamics
SE Crowell, JE Butner, TJ Wiltshire, AK Munion, M Yaptangco, ...
Clinical Psychological Science 5 (2), 272-285, 2017
Prospects for direct social perception: a multi-theoretical integration to further the science of social cognition
TJ Wiltshire, EJC Lobato, DS McConnell, SM Fiore
Frontiers in Human Neuroscience 8, 1007, 2015
Shifting the paradigm of music instruction: Implications of embodiment stemming from an augmented reality guitar learning system
JR Keebler, TJ Wiltshire, D Smith, S Fiore, J Bedwell
Frontiers in Theoretical and Philisophical Psychology 5 (471), 2014
Enabling robotic social intelligence by engineering human social-cognitive mechanisms
TJ Wiltshire, SF Warta, D Barber, SM Fiore
Cognitive Systems Research 43, 190-207, 2017
Social Cognitive and Affective Neuroscience in Human–Machine Systems: A Roadmap for Improving Training, Human–Robot Interaction, and Team Performance
TJ Wiltshire, SM Fiore
IEEE Transactions on Human-Machine Systems 44 (6), 779 - 787, 2014
Towards modeling social-cognitive mechanisms in robots to facilitate human-robot teaming
TJ Wiltshire, D Barber, SM Fiore
Proceedings of the human factors and ergonomics society annual meeting 57 (1 …, 2013
Graphic methods for interpreting longitudinal dyadic patterns from repeated-measures actor–partner interdependence models.
NS Perry, KJW Baucom, S Bourne, J Butner, AO Crenshaw, JN Hogan, ...
Journal of Family Psychology 31 (5), 592, 2017
Complex collaborative problem-solving processes in mission control
SM Fiore, TJ Wiltshire, JM Oglesby, WS O’Keefe, E Salas
Aviation, space, and environmental medicine 85 (4), 456-461, 2014
Applying research in the cognitive sciences to the design and delivery of instruction in virtual reality learning environments
MS Goodwin, T Wiltshire, SM Fiore
International Conference on Virtual, Augmented and Mixed Reality, 280-291, 2015
Training for collaborative problem solving: Improving team process and performance through metacognitive prompting
TJ Wiltshire, K Rosch, L Fiorella, SM Fiore
Proceedings of the Human Factors and Ergonomics Society Annual Meeting 58 (1 …, 2014
A multivariate dynamic systems model for psychotherapy with more than one client.
JE Butner, C Deits-Lebehn, AO Crenshaw, TJ Wiltshire, NS Perry, ...
Journal of Counseling Psychology 64 (6), 616, 2017
Leveraging social judgment theory to examine the relationship between social cues and signals in human-robot interactions
TJ Wiltshire, SL Snow, EJC Lobato, SM Fiore
Proceedings of the human factors and ergonomics society annual meeting 58 (1 …, 2014
Training to be a (team) scientist
SM Fiore, C Gabelica, TJ Wiltshire, D Stokols
Strategies for team science success, 421-444, 2019
Working memory performance inversely predicts spontaneous delta and theta-band scaling relations
MJ Euler, TJ Wiltshire, MA Niermeyer, JE Butner
Brain Research 1637, 22-33, 2016
A prospective framework for the design of ideal artificial moral agents: Insights from the science of heroism in humans
TJ Wiltshire
Minds and Machines 25 (1), 57-71, 2015
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