Publication statistics
Pub. period:1995-2012
Pub. count:6
Number of co-authors:14
Co-authors
Number of publications with 3 favourite co-authors:
Tonya L. Smith-Jackson:3Woodrow Barfield:1Gregory W. Edwards:1 Productive colleagues
Maury A. Nussbaum's 3 most productive colleagues in number of publications:
Woodrow Barfield:36Kari Babski-Reeves:12Thurmon E. Lockhar..:11
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Maury A. Nussbaum
Publications by Maury A. Nussbaum (bibliography)
Rashedi, Ehsan, Jia, Bochen, Nussbaum, Maury A. and Lockhart, Thurmon E. (2012): Investigating the effects of slipping on lumbar muscle activity, kinematics, and kinetics. In: Proceedings of the Human Factors and Ergonomics Society 2012 Annual Meeting 2012. pp. 1201-1205.
“Slips, trips, and falls remain leading causes of occupational injuries and fatalities. The current exploratory study quantified lumbar kinematics and kinetics during both induced slips and normal walking. Individual anthropometry, lumbar muscle geometry, and lumbar kinematics, along with electromyography of 14 lumbar muscles were used as input to a 3D, dynamic, EMG-based model of the lumbar spine. Results indicated that, in comparison with values during normal walking, lumbar kinematics, lumbosacral kinetics, lumbar muscle activations, and lumbosacral reaction forces were all substantially increased during a slip event. Observed levels of muscle activity and lumbosacral reaction forces suggest the potential for low back injury during a slip event. Outcomes of this work may facilitate the identification and control of specific mechanisms involved with low back disorders consequent to a slip.”
© All rights reserved Rashedi et al. and/or Human Factors and Ergonomics Society
Lee, Yoon Suk, Smith-Jackson, Tonya L. and Nussbaum, Maury A. (2009): Multidimensional Training System Evaluation using the Revised Bloom's Taxonomy. In: Proceedings of the Human Factors and Ergonomics Society 53rd Annual Meeting 2009. pp. 1878-1882.
“Many organizations employ training systems to reduce work-related low back disorders. However, the evaluation of training programs is often not satisfactory, mainly due to the complexity of training systems, the high costs involved, heavy reliance on trainee reactions, and little integration of outcomes-based validation. In this work, we used the Revised Bloom's Taxonomy to classify the learning objectives of a training program. These classified objectives were then examined to predict training performance, and were further compared with trainee reactions using multiple regression and correlation analyses accordingly. Results indicated that the classified learning objectives were better predictors of training performance than trainee reactions. Practical implications of the results are discussed.”
© All rights reserved Lee et al. and/or their publisher
Ryu, Young Sam, Babski-Reeves, Kari, Smith-Jackson, Tonya L. and Nussbaum, Maury A. (2007): Decision Models for Comparative Usability Evaluation of Mobile Phones Using the Mobile Phone Usability Questionnaire (MPUQ). In Journal of Usability Studies, 3 (1) pp. 24-40.
“A comparative usability evaluation was performed using various subjective evaluation methods, including Mobile Phone Usability Questionnaire (MPUQ). Further, decision-making models using Analytic Hierarchy Process (AHP) and multiple linear regression were developed and applied. Although the mean rankings of the four phones were not significantly different across the evaluation methods, there were variations across the methods in terms of the number of rank orderings, preference proportions, and methods to select their initial preference. Thus, this study provided a useful insight into how users make different decisions through different evaluation methods. Also, the result showed that answering a usability questionnaire affected a user's decision-making process for comparative evaluation.”
© All rights reserved Ryu et al. and/or Usability Professionals Association
Lee, Young Seok, Hong, Sang W., Smith-Jackson, Tonya L., Nussbaum, Maury A. and Tomioka, Kei (2006): Systematic evaluation methodology for cell phone user interfaces. In Interacting with Computers, 18 (2) pp. 304-325.
“As cell phones have expanded their functionality with enhanced mobile technology, use of cell phones has become complex. Although usability of cell phones has been improved by featuring hierarchical menu systems, designing comprehensible navigation in the menu hierarchy is still a major challenge to cell phone user interface (UI) developers as more diverse users are adopting cell phones. To develop an easy-to-use cell phone UI, an effective usability evaluation method (UE) is essential. While various usability evaluation methods (UEM) have been developed, laboratory-based usability testing produces high-quality usability data from actual users. Yet, the effectiveness of such testing can vary dramatically depending on what data is collected and how the data are analyzed. To provide a practical guidance for the effective laboratory testing, we developed a systematic evaluation methodology for cell phone user interfaces (SEM-CPU). SEM-CPU is specifically designed to integrate five empirical methods (scenario-based task performance, questionnaires, post-task interview, user observation, and retrospective think aloud) into a laboratory-based test in order to evaluate cell phone UIs. By following SEM-CPU, usability engineers should be able to (1) conduct laboratory-based testing with multiple empirical methods in an efficient way, (2) collect diverse but useful data to measure necessary usability attributes, (3) identify determinants of usability problems, and (4) integrate all usability data to generate proper solutions for the problems. Detailed descriptions of SEM-CPU are presented along with a case study where SEM-CPU was applied to a comparative cell phone usability test.”
© All rights reserved Lee et al. and/or Elsevier Science
Edwards, Gregory W., Barfield, Woodrow and Nussbaum, Maury A. (2004): The use of force feedback and auditory cues for performance of an assembly task in an immersive virtual environment. In Virtual Reality, 7 (2) pp. 112-119.
Nussbaum, Maury A., Chaffin, Don B. and Page, George B. (1995): A Biomechanical Investigation of the Asymmetric Multiplier in the Revised NIOSH Lifting Equation. In: Proceedings of the Human Factors and Ergonomics Society 39th Annual Meeting 1995. pp. 709-713.
“There is growing evidence, from epidemiological and biomechanical sources, that lifting performed in asymmetric postures is a risk factor for the development of a musculoskeletal injury. In the recent update of the NIOSH Lifting Guide, a linear Asymmetric Multiplier was added to account for this type of risk. The present study addresses the form of this Multiplier through analysis of several asymmetric lifting tasks. Both spinal loading and a derived metric of muscle injury risk were calculated as a function of asymmetry angle. The results suggest that there is a non-linear increase in injury risk with respect to asymmetry. Only moderate increases in risk were predicted for asymmetry of 0{deg}-30{deg}, and sharply increasing risk as asymmetry reaches 90{deg}, implying that ergonomic intervention should be concentrated on tasks with the highest asymmetries.”
© All rights reserved Nussbaum et al. and/or Human Factors Society
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