Peter Foltz, Ph.D.

Affiliations: 
Psychology New Mexico State University, Las Cruces, NM, United States 
Area:
Human Factors, Text comprehension, Cognitive Modeling, Team Cognition, Computational Models of Language, Human Computer Interaction, Artificial Intelligence, Machine Learning
Google:
""Peter Foltz" "LSA" "Latent Semantic Analysis""
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Publications

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Diaz-Asper C, Hauglid MK, Chandler C, et al. (2024) A framework for language technologies in behavioral research and clinical applications: Ethical challenges, implications, and solutions. The American Psychologist. 79: 79-91
Holmlund TB, Cohen AS, Cheng J, et al. (2023) Using Automated Speech Processing for Repeated Measurements in a Clinical Setting of the Behavioral Variability in the Stroop Task. Brain Sciences. 13
Holmlund TB, Chandler C, Foltz PW, et al. (2022) Towards a temporospatial framework for measurements of disorganization in speech using semantic vectors. Schizophrenia Research
Foltz PW, Chandler C, Diaz-Asper C, et al. (2022) Reflections on the nature of measurement in language-based automated assessments of patients' mental state and cognitive function. Schizophrenia Research
Diaz-Asper M, Holmlund TB, Chandler C, et al. (2022) Using automated syllable counting to detect missing information in speech transcripts from clinical settings. Psychiatry Research. 315: 114712
Cohen AS, Rodriguez Z, Warren KK, et al. (2022) Natural Language Processing and Psychosis: On the Need for Comprehensive Psychometric Evaluation. Schizophrenia Bulletin
Chandler C, Foltz PW, Elvevåg B. (2022) Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies. Schizophrenia Bulletin
Cohen AS, Cox CR, Tucker RP, et al. (2021) Validating Biobehavioral Technologies for Use in Clinical Psychiatry. Frontiers in Psychiatry. 12: 503323
Le TP, Moscardini E, Cowan T, et al. (2021) Predicting self-injurious thoughts in daily life using ambulatory assessment of state cognition. Journal of Psychiatric Research. 138: 335-341
Chandler C, Holmlund TB, Foltz PW, et al. (2021) Extending the usefulness of the verbal memory test: The promise of machine learning. Psychiatry Research. 297: 113743
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