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Information for Students

Lubbock, Texas
Department of Psychology

Title: Human Factors Program/Experimental Psychology (MA, PhD)
Est: 1967
Accreditation: HFES
Granted last 3 years: MA 8, PhD 4
Part-time: no
Distance learning available: no
HFES student chapter: yes
Program: In conjunction with the Department of Industrial Engineering, students receive balanced training in human factors and ergonomics. Our program prepares students for employment in academia, government, and industry. Primary training is in fundamental processes of human behavior, research methods, and statistics. We are committed to the integration of basic and applied research. Areas of emphasis include transportation (e.g., driving), human-computer interaction, human-robot interaction, health care (e.g., minimally-invasive surgery, nursing, mental health treatment), physiological and subjective measures of stress and workload, team coordination and communication (e.g., team skill in remote vehicle operations, creative team problem solving, medical team performance, and the use of non-linear dynamics), and visual performance including perception and action (e.g., perception of depth, motion, and collision; affordance perception; human factors in medicine; teleorobotics; and sport). Graduates of our program have been employed in research positions at government and academic institutions (e.g., Lockheed-Martin/NASA-Johnson Space Center, Auburn University, Wichita State University, University of South Dakota, Federal Aviation Administration, US Air Force, US Army, US Navy, NIOSH) and in industry (e.g., General Electric, Hewlett-Packard, IBM, Lear Corporation, Lucent Technologies, Space Center, NOVA Research Co., Oakhill Technology, Perceptive Sciences, Roche Diagnostics, Raytheon, Sandia Laboratories, Sprint, SUN Microsystems, Titan Industries, SA Technologies, SBC Technology, State Farm, Honeywell, Medtronic, Human Interfaces, BCI, and Siemens).
Contact: Patricia R. DeLucia, Texas Tech University, Department of Psychology, Mail Stop 2051, Lubbock, TX 79409-2051; 806/742-3711 ext 259;,
Catalog: (free) Graduate School, Texas Tech University, Box 41030, Lubbock, TX 79409-1030

Deadline: We begin accepting applicants January 15 and continue considering qualified applicants until the entering class is filled.
Fee: N/A, online applications at (Note: Separate application and fee are required for the graduate school.)

GPA: 3.0
GRE: V + Q required but no minimum scores
Other: Recommended training includes degree in psychology, social sciences, industrial engineering, or sciences and training in statistics, computer programming, and mathematics.
Research: high
Work experience: low
Letters: medium
Interview: optional; telephone contact recommended

Students applying last year: 28
Accepted: 4
Entered program: 3
Openings/year: 6-8


% receiving: 95
Amount: $1000/$11,854/$18,000
Available: Fellowships, TA, RA, and scholarships (provide eligibility for in-state tuition); all partial tuition exempt. While on half-time appointments, students qualify for in-state tuition rates, benefits, and fee waivers.
Apply: with application

Terminal MA: 36 credit hours, research project required, no exams or natural languages required, 2 - 2.5 years
PhD: 78 minimum credit hours, qualifying examination, oral defense of proposal and dissertation, 3-hour minimum enrollment in research each semester, research project required, internships encouraged, no natural languages required, 4-5 years
Nonthesis option: yes (MA only)

Required courses (units): One course from each of the following core areas: Cognitive Bases of Behavior; Biological Bases of Behavior; Social Bases of Behavior (9); Experimental Design (3); Advanced Correlational Methods and Factor Analysis (3); statistics elective (3); Human Factors Psychology (3); Human Factors Methodology (3); Seminar in Perception: Theories and Applications (3); Cognitive Ergonomics (3)
Required courses outside department: Six hours from Industrial Engineering: Ergonomics in Design or Work Physiology, and one elective
Recommended courses outside department: 3
Offered: some at night, summer
Class size: 5-15

Research facilities: Opportunities and facilities are diverse. Laboratories support studies in driving (including a STI-SIM driving simulator), human-computer interaction (graphical user interface optimization; Internet navigation and accessibility), human factors in medicine, minimally-invasive surgery (including a laparoscopic surgery trainer), eye movements (including an ASL eye tracker), telerobotics, team coordination, and visual performance, as well as subjective and physiological stress and workload (including a transcranialdoppler system, and a BIOPAC psychophysiology system, allowing for the assessment of EEG, ECG, GSR, EMG, and EOG). The university maintains state-of-the-art usability testing and neuroimaging facilities. In addition, the university provides facilities for computer-based and distance instruction, including instruction and support for instructional design.
Teaching: Teaching opportunities include undergraduate courses, some as TA and some as instructor of record.
Current research: human-computer interaction; graphical user interface optimization; Internet navigation and accessibility; visual perception of depth, motion, and collision with applications for transportation, healthcare, and officiating; affordance perception; display design for minimally-invasive surgery; stress and workload in laparoscopic and robotic surgery; collision avoidance in driving; visual memory; team coordination and communication; non-linear dynamics; study of learning behavior in the environment of instructional technologies including distance learning and Internet-mediated instruction; undergraduate student use of computer-based instructional materials; the design of instructional paradigms for distance learning; performance in nursing; effects of technology on medication administration.

Active: 9 men, 3 women
First-year students: 3
Mean scores: GRE: 533 V, 639 Q, undergrad GPA 3.56

Patricia R. DeLucia, PhD 1989, Columbia University; basic and applied research including visual perception of collision, motion and depth; transportation (e.g., driving and aviation), healthcare (minimally-invasive surgery, mental health treatment), military (e.g., night vision goggles), sport (e.g., umpiring); human factors in medicine (e.g., patient safety); performance in nursing (e.g., medication administration)
Jamie C. Gorman, PhD 2006, New Mexico State University; team coordination; team communication; team cognition; team motor skill; remote vehicle operations; non-linear dynamics
Keith S. Jones, PhD 2000, University of Cincinnati; human-computer interaction, human-robot interaction, affordance perception
Martina I. Klein, PhD 2008, University of Cincinnati; stress and workload in laparoscopic and robotic surgery, subjective and physiological measures of stress and workload
Philip H. Marshall, PhD 1972, University of Illinois; human performance and memory, motor performance, and assessment of rehabilitation procedures
Mike Serra, PhD 2007, Kent State University; applied cognition: metacognition (i.e., "thinking about thinking", particularly as it relates to learning, studying, memory, and reading comprehension); multimedia learning (i.e., learning from text with diagrams or narrated animation)
Roman Taraban, PhD 1988, Carnegie Mellon University; applied cognition: language learning, category induction, connectionist modeling, undergraduate study behaviors, engineering problem solving, reading comprehension
Alice Young, PhD 1976, University of Minnesota; applied cognition: psychopharmacology, roles of receptor-mediated processes in development of drug tolerance and dependence, and learning and memory disorders in Alzheimer's Disease.

(For additional faculty, see also the entry for the Department of Industrial Engineering.)

[Updated May 2012]