Travis J. Wiltshire

Travis J. Wiltshire
Tilburg University | UVT · Department of Cognitive Science and Artificial Intelligence

Ph. D.

About

61
Publications
14,807
Reads
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765
Citations
Introduction
I am an interdisciplinary applied cognitive scientist focusing on understanding high-level cognitive processes (e.g., collaborative problem solving, social cognition) during human interaction with social and technological environments. I primarily study these phenomena from a Dynamical Systems Theory approach; an interdisciplinary approach to characterize how interacting components of a system change and coordinate over time. Using a multi-method and multi-modal research approach, I examine multiple scales of analysis (e.g., behavior, cognition, and physiology) to explain the coordination of a system's components as they span the boundaries of individuals and technologies in support of collaborative interaction.
Additional affiliations
August 2018 - present
Tilburg University
Position
  • Professor (Assistant)
August 2015 - June 2016
University of Utah
Position
  • PostDoc Position
May 2012 - July 2015
University of Central Florida
Position
  • Graduate Research Associate
Education
August 2012 - August 2015
University of Central Florida
Field of study
  • Modeling & Simulation
August 2012 - August 2012
Embry-Riddle Aeronautical University
Field of study
  • Human Factors & Systems
August 2007 - December 2009
University of Central Florida
Field of study
  • Psychology

Publications

Publications (61)
Article
Full-text available
In this paper we suggest that differing approaches to the science of social cognition mirror the arguments between radical embodied and traditional approaches to cognition. We contrast the use in social cognition of theoretical inference and mental simulation mechanisms with approaches emphasizing a direct perception of others’ mental states. We bu...
Article
Full-text available
This paper augments recent advances in social cognitive and affective neuroscience (SCAN) and illustrates their relevance to the development of novel human-machine systems. Advances in this area are crucial for understanding and exploring the social, cognitive, and neural processes that arise during human interactions with complex sociotechnologica...
Article
Full-text available
NASA's Mission Control Center (MCC) is responsible for control of the International Space Station (ISS), which includes responding to problems that obstruct the functioning of the ISS and that may pose a threat to the health and well-being of the flight crew. These problems are often complex, requiring individuals, teams, and multiteam systems, to...
Conference Paper
Full-text available
We discuss an experiment investigating the influence of social cues expressed by a robot on human attributions of interpersonal characteristics towards a robot and assessments of its interaction behaviors. During a hallway navigation scenario, participants were exposed to varying expressions of proxemic behavior and gaze cues over repeated interact...
Article
This paper systematically reviews 20 years of publications (N = 54) on aviation and neurophysiology. The main goal is to provide an account of neurophysiological changes associated with flight training with the aim of identifying neurometrics indicative of pilot's flight training level and task relevant mental states, as well as to capture the curr...
Preprint
Full-text available
This study discusses the effect of semi-supervised learning in combination with pretrained language models for data-to-text generation. It is not known whether semi-supervised learning is still helpful when a large-scale language model is also supplemented. This study aims to answer this question by comparing a data-to-text system only supplemented...
Article
Full-text available
In order to support the burgeoning field of research into intra- and interpersonal synchrony, we present an open-source software package: multiSyncPy. Multivariate synchrony goes beyond the bivariate case and can be useful for quantifying how groups, teams, and families coordinate their behaviors, or estimating the degree to which multiple modaliti...
Chapter
This paper presents visualization methods for exploratory subgroup discovery, focusing on numeric time series data. We provide four novel visualizations for the inspection and understanding of subgroups. These visualizations facilitate interpretation in order to get insights into the data and the respective subgroups, while also supporting statisti...
Preprint
Full-text available
During crisis situations, teams are more prone to coordination breakdowns (CBs) that are characterized by a temporary, diminished ability to function effectively as a team. However, team research currently lacks robust approaches for identifying transitions from effective team functioning to CBs. With the current study, we aim to develop such robus...
Article
Full-text available
Objective: This review and synthesis examines approaches for measuring and assessing team coordination dynamics (TCD). The authors advance a system typology for classifying TCD approaches and their applications for increasing levels of dynamic complexity. Background: There is an increasing focus on how teams adapt their coordination in response...
Article
Full-text available
Complex work in teams requires coordination across team members and their technology as well as the ability to change and adapt over time to achieve effective performance. To support such complex interactions, recent efforts have worked toward the design of adaptive human‐autonomy teaming systems that can provide feedback in or near real time to ac...
Preprint
Humans collaborate with a large number of people in order to create and accomplish incredible feats. We argue that rich coordination dynamics underpin our capacity for collaborative creativity. These dynamics characterize the ways in which people are able to covary their thoughts, actions, behavior etc. for functional purposes. We investigated the...
Conference Paper
We investigated gesture dynamics by examining wrist-worn accelerometer data from 28 patient-therapist dyads involved in multiple sessions of mentalization-based therapy. We sought to determine if there were long-term correlations in the signals and evaluate the degree of complexity matching between patient and therapist. Moreover, we looked into th...
Chapter
Full-text available
In this paper, we present a novel approach for local exceptionality detection on time series data. This method provides the ability to discover interpretable patterns in the data, which can be used to understand and predict the progression of a time series. As an exploratory approach, the results can be used to generate hypotheses about the relatio...
Preprint
In this paper, we present a novel approach for local exceptionality detection on time series data. This method provides the ability to discover interpretable patterns in the data, which can be used to understand and predict the progression of a time series. This being an exploratory approach, the results can be used to generate hypotheses about the...
Preprint
In order to support the burgeoning field of research into interpersonal synchrony, we present an open-source software package: multiSyncPy. Multivariate synchrony goes beyond the bivariate case and can be useful for quantifying how groups, teams, and families coordinate their behaviors, or estimating the degree to which multiple modalities from an...
Article
Full-text available
Social interactions are pervasive in human life with varying forms of interpersonal coordination emerging and spanning different modalities (e.g., behaviors, speech/language, and neurophysiology). However, during social interactions, as in any dynamical system, patterns of coordination form and dissipate at different scales. Historically, researche...
Preprint
Full-text available
Given the increasing complexity of many sociotechnical work domains, effective teamwork is becoming more and more crucial. While face-to-face communication contributes to effective teamwork, understanding the time-varying nature and structure of team communication is limited. In this work, we combine sensor-based social analytics of Socio-metric ba...
Article
Full-text available
Background The aim of this study was to gain a better understanding of interpersonal coordination (i.e., covariation over time) in different modalities (e.g., physiology, language) during psychotherapy and their importance for understanding the dynamics of psychotherapeutic interaction and efficacy.Methods We conducted a systematic review of all st...
Article
Full-text available
High patient emotional arousal during rationale development for in vivo exposure in CBT for panic disorder with agoraphobia might endanger comprehension of the exposure rationale. Since therapists are supposed to coregulate patients' emotions, this study investigated whether there was evidence of coregulation of vocally encoded emotional arousal, a...
Chapter
Relationships are pervasive in human life, both personal and professional, and they are formed, maintained, and strengthened or weakened through human interactions. However, human interactions can be complex and multi-scale, meaning they occur at different time scales (e.g., seconds to lifetimes), across multiple modalities (e.g., movements and spe...
Chapter
Full-text available
In the early twenty-first century, many have lamented the lack of a sufficient scientific workforce capable of contributing to the modern knowledge-intensive economy. At the same time, others have noted the lack of a scientific workforce capable of collaborating across scientific disciplines. The combination of these factors leads to a need to bett...
Article
The last few years have seen resurgence in interest within human factors/ergonomics (HFE) in cybernetics. HFE has a long association with cybernetics (e.g., the influence of signal detection and control theory on studies of vigilance, visual search and human-machine systems). The panel will discuss more recent applications of cybernetics and focus...
Article
Full-text available
The suggestions proposed by Lee et al. to improve cognitive modeling practices have significant parallels to the current best practices for improving reproducibility in the field of Machine Learning. In the current commentary on “robust modeling in cognitive science”, we highlight the practices that overlap and discuss how similar proposals have pr...
Preprint
Full-text available
The suggestions proposed by Lee et al. to improve cognitive modeling practices have significant parallels to the current best practices for improving reproducibility in the field of Machine Learning. In the current commentary on `Robust modeling in cognitive science', we highlight the practices that overlap and discuss how similar proposals have pr...
Poster
Full-text available
Die Kognitive Verhaltenstherapie mit Exposition zeigt eine umfassend belegte Wirksamkeit bei Panikstörung mit Agoraphobie (PD/AG). Ein für die Patienten plausibles Expositionsrational stellt eine Grundvoraussetzung für die Durchführung von Expositionsübungen und damit den Erfolg dieser Therapie dar. Jedoch gefährdet möglicherweise eine starke emoti...
Chapter
Full-text available
Team cognition research continues to evolve as the need for understanding and improving complex problem solving itself grows. Complex problem solving requires members to engage in a number of complicated collaborative processes to generate solutions. This chapter illustrates how the macrocognition in teams model, developed to guide research on thes...
Article
During collaborative problem solving (CPS), coordination occurs at different spatial and temporal scales. This multiscale coordination should play a functional role in facilitating effective collaboration. To evaluate this, we conducted a study of computer-based CPS with 42 dyadic teams. We used cross-wavelet coherence to examine movement coordinat...
Article
The dynamics of the give and take between therapist and client(s) is frequently of interest to therapy process researchers. Characterizing the ways that therapists respond to clients and clients respond to therapists can be challenging in therapeutic encounters involving a single therapist and a single client. The complexity of this challenge incre...
Article
Full-text available
Humans are high-dimensional, complex systems consisting of many components that must coordinate in order to perform even the simplest of activities. Many behavioral studies, especially in the movement sciences, have advanced the notion of soft-assembly to describe how systems with many components coordinate to perform specific functions while also...
Article
Full-text available
In complex work domains and organizations, understanding schedule-ing dynamics can ensure objectives are reached and delays are mitigated. In the current paper, we examine the scheduling dynamics for NASA's Exploration Flight Test 1 (EFT-1) activities. For this examination, we specifically modeled simultaneous change in percent complete and estimat...
Article
Full-text available
Social interaction occurs across many time scales and varying numbers of agents; from one-on-one to large-scale coordination in organizations, crowds, cities, and colonies. These contexts, are characterized by emergent self-organization that implies higher order coordinated patterns occurring over time that are not due to the actions of any particu...
Article
Full-text available
High sensitivity and reactivity to behaviors of family members characterize several forms of psychopathology, including self-inflicted injury (SII). We examined mother-daughter behavioral and psychophysiological reactivity during a conflict discussion using nonlinear dynamics to assess asymmetrical associations within time-series data. Depressed, S...
Article
Full-text available
Researchers commonly use repeated-measures actor-partner interdependence models (RM-APIM) to understand how romantic partners change in relation to one another over time. However, traditional interpretations of the results of these models do not fully or correctly capture the dyadic temporal patterns estimated in RM-APIM. Interpretation of results...
Article
Full-text available
Multiple theories of problem-solving hypothesize that there are distinct qualitative phases exhibited during effective problem-solving. However, limited research has attempted to identify when transitions between phases occur. We integrate theory on collaborative problem-solving (CPS) with dynamical systems theory suggesting that when a system is u...
Article
Full-text available
In this paper we advance team theory by describing how cognition occurs across the distribution of members and the artifacts and technology that support their efforts. We draw from complementary theorizing coming out of cognitive engineering and cognitive science that views forms of cognition as external and extended and integrate this with theoriz...
Conference Paper
Current approaches to the design and delivery of instruction in virtual reality learning environments (VRLEs) draw heavily from traditional instructional strategies and design practices. This is problematic given that these strategies and practices were developed for learning contexts lacking the dynamic nature and capabilities of technology-rich,...
Conference Paper
Full-text available
A better understanding of human mental states in social contexts holds the potential to pave the way for implementation of robotic systems capable of more natural and intuitive interaction. In working toward such a goal, this paper reports on a study examining human perception of social signals based on manipulated sets of social cues in a simulate...
Article
Full-text available
The growing field of machine morality has becoming increasingly concerned with how to develop artificial moral agents. However, there is little consensus on what constitutes an ideal moral agent let alone an artificial one. Leveraging a recent account of heroism in humans, the aim of this paper is to provide a prospective framework for conceptualiz...
Conference Paper
Full-text available
Increasing complexity in socio-technological systems of domains such as aviation, aerospace, and the military gives rise to equally complex problems. Solving these complex problems requires the collaborative efforts of teams who are able to not just integrate their collective knowledge, but also to monitor and regulate their collective problem solv...
Article
Full-text available
We describe an experiment that examined mental state attributions as a function of manipulated response speed. Based upon dual-process theories of cognition, the purpose was to examine the degree to which rapid versus reflective judgment might alter these attributions. Participants were presented with a theory of mind task and instructed to either...
Article
Full-text available
Human-robot interaction (HRI) research requires new techniques for understanding the social dynamics that occur at the interface between humans and robots. Prior work has focused on incorporating the social cues and social signals distinction from the field of social signal processing and complementing this with recent advances in understanding hum...
Article
Full-text available
Complex domains require cognitive work for which current approaches to training may be ill-suited. To improve training for cognitive work, Klein and Baxter have proposed Cognitive Transformation Theory (CTT), a learning theory that characterizes sensemaking processes as essential to the development of expertise. The objectives of this research were...
Conference Paper
Understanding intentions is a complex social-cognitive task for humans, let alone machines. In this paper we discuss how the developing field of Social Signal Processing, and assessing social cues to interpret social signals, may help to develop a foundation for robotic social intelligence. We describe a taxonomy to further R&D in HRI and facilitat...
Article
Full-text available
Musical instruction often includes materials that can act as a barrier to learning. New technologies using augmented reality may aid in reducing the initial difficulties involved in learning music by lowering these barriers characteristic of traditional instructional materials. Therefore, this set of studies examined a novel augmented reality guita...
Article
Full-text available
As robots are increasingly deployed in settings requiring social interaction, research is needed to examine the social signals perceived by humans when robots display certain social cues. In this paper, we report a study designed to examine how humans interpret social cues exhibited by robots. We first provide a brief overview of perspectives from...
Article
Full-text available
Robots are increasingly being introduced into task environments that require the ability to exhibit appropriate social functionality. The present study is an examination of how social cues conveyed by a robot, during a brief interaction, affect the perception of the robot as a socially present agent. Participants were exposed to one of three gaze c...
Article
Full-text available
For effective human-robot teaming, robots must gain the appropriate social-cognitive mechanisms that allow them to function naturally and intuitively in social interactions with humans. However, there is a lack of consensus on social cognition broadly, and how to design such mechanisms for embodied robotic systems. To this end, recommendations are...
Article
Full-text available
Human-robot interaction (HRI) research needs to leverage the theories and findings from multiple disciplines to inform subsequent empirical investigation and robot design. Utilizing evidence and suggestions from social cognitive and neurocognitive disciplines for human-human interaction, we propose an approach for conceptualizing HRI. Comparing HRI...
Conference Paper
This paper examines a future embedded with “cybernetic teams”: teams of physical, biological, social, cognitive, and technological components; namely, humans and robots that communicate, coordinate, and cooperate as teammates to perform work. For such teams to be realized, we submit that these robots must be physically embodied, autonomous, intelli...
Conference Paper
Incorporation of the arts into the current model of science, technology, engineering, and mathematics (STEAM) may have a profound impact on the future of education. In light of this, we examined a novel technology at the intersection of these disciplines. Specifically, an experiment was conducted using augmented reality to learn a musical instrumen...

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Projects

Projects (3)
Project
This project aims at investigating the role of emotional arousal during the course of psychological treatment of anxiety disorders (starting with panic disorder with agoraphobia) and the role of therapists' coregulation.
Archived project
Amelio is a team-based serious game designed for a highly immersive Mixed Reality Lab (the DAF-Technology Lab, Tilburg University). The purpose of the game is to evoke collaboration and team dynamics on an individual and group basis to generate new insights and self-reflection, and subsequently learning in the players (Target audience: TIAS Business School students) regarding leadership and collaboration. The game is staged in a space colony emergency situation and is loosely based on the concept of an escape room.
Project
An ecological and interactivity-based investigation into the dynamics of psychotherapy. The purpose of the project is to conceptually integrate cognition, language, and emotion - and to identify the interactional dynamics that make therapy work.