Joseph Houpt

Associate Professor

University of Texas at San Antonio

United States

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Joseph Houpt is an Associate Professor at the University of Texas at San Antonio. His research focuses on cognitive processes and human performance in various contexts, including coactive systems, competitive and collaborative human-machine teams, and visual word processing. He has published several articles on topics such as holistic processing in Chinese and the dynamics of human cognition using advanced modeling techniques. His work contributes significantly to the understanding of cognitive architectures and multitasking performance.

Articles (16)

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2025

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2020

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2020

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2020

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2020

Collaborators (1)

Yusuke Yamani

Assistant Professor

Old Dominion University

UNITED STATES

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Joseph Houpt

Research Interests

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Articles (16)

Generalizing survivor interaction contrast functions for coactive systems to the linear ballistic accumulator model, inhomogeneous Poisson processes, and presenting a novel ‘bare bones’ stochastic process

Chinese holistic processing: Evidence from cognitive mental architecture using Systems Factorial Technology

Chinese holistic processing: Evidence from cognitive mental architecture using Systems Factorial Technology

An extension of the shifted Wald model of human response times: Capturing the time dynamic properties of human cognition

Human Performance in Competitive and Collaborative Human-Machine Teams

Visual word processing efficiency for Chinese characters and English words

Fundamental tools for developing likelihood functions within ACT-R

Predictions of task using neural modeling

Exploring the Effects of Perceptual Separability on Human-Automation Team Efficiency

Functional analysis of trajectories from multiple devices during a preferential choice task.

Derivation and Demonstration of a New Metric for Multitasking Performance

Exploring the Performance Consequences of Target Prevalence and Ecological Display Designs When Using an Automated Aid

Developing memory-based models of ACT-R within a statistical framework

Exaggerated prevalence effect with the explicit prevalence information: The description-experience gap in visual search

Temporal organization of color and shape processing during visual search

Will the Questions Ever End? Person-Level Increases in Careless Responding During Questionnaire Completion

Collaborators (1)

Yusuke Yamani

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