Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
research-article

Development and validation of a simulation workload measure: the simulation task load index (SIM-TLX)

Published: 01 December 2020 Publication History

Abstract

Virtual reality (VR) simulation offers significant potential for human factors training as it provides a novel approach which enables training in environments that are otherwise dangerous, impractical or expensive to simulate. While VR training has been adopted in many environments, such as heavy industry, surgery and aviation, there remains an inadequate understanding of how virtual simulations impact cognitive factors. One such factor, which needs careful consideration during the design of VR simulations, is the degree of mental or cognitive load experienced during training. This study aimed to validate a newly developed measure of workload, based on existing instruments (e.g. the NASA-TLX), but tailored to the specific demands placed on users of simulated environments. While participants completed a VR puzzle game, a series of experimental manipulations of workload were used to assess the sensitivity of the new instrument. The manipulations affected the questionnaire subscales (mental demands; physical demands; temporal demands; frustration; task complexity; situational stress; distraction; perceptual strain; task control; presence) as predicted in all cases (ps < .05), except for presence, which displayed little relationship with other aspects of task load. The scale was also found to have good convergent validity with an alternate index of task load. The findings support the sensitivity of the new instrument for assessing task load in virtual reality. Overall, this study contributes to the understanding of mental workload in simulated environments and provides a practical tool for use in both future research and applications in the field.

References

[1]
Adamovich SV, Fluet GG, Tunik E, and Merians AS Sensorimotor training in virtual reality: a review NeuroRehabilitation 2009 25 1 29-44
[2]
Bates D, Mächler M, Bolker B, Walker S (2014) Fitting linear mixed-effects models using lme4. Retrieved from http://arxiv.org/abs/1406.5823
[3]
Bharathan R, Vali S, Setchell T, Miskry T, Darzi A, and Aggarwal R Psychomotor skills and cognitive load training on a virtual reality laparoscopic simulator for tubal surgery is effective Eur J Obstet Gynecol Reprod Biol 2013 169 2 347-352
[4]
Brunken R, Plass JL, and Leutner D Direct measurement of cognitive load in multimedia learning Educ Psychol 2003 38 1 53-61
[5]
Burdea GC and Coiffet P Virtual reality technology 2003 Hoboken Wiley
[6]
Campbell DT and Fiske DW Convergent and discriminant validation by the multitrait-multimethod matrix Psychol Bull 1959 56 2 81-105
[7]
DiDomenico A and Nussbaum MA Interactive effects of physical and mental workload on subjective workload assessment Int J Ind Ergon 2008 38 11 977-983
[8]
Dunston PS, Proctor RW, and Wang X Challenges in evaluating skill transfer from construction equipment simulators Theor Issues Ergon Sci 2014 15 4 354-375
[9]
Frederiksen JG, Sørensen SMD, Konge L, Svendsen MBS, Nobel-Jørgensen M, Bjerrum F, and Andersen SAW Cognitive load and performance in immersive virtual reality versus conventional virtual reality simulation training of laparoscopic surgery: a randomized trial Surg Endosc 2019
[10]
Gray R Transfer of training from virtual to real baseball batting Front Psychol 2017
[11]
Guadagnoli MA and Lee TD Challenge point: a framework for conceptualizing the effects of various practice conditions in motor learning J Mot Behav 2004 36 2 212-224
[12]
Hart SG, Staveland LE (1988) Development of NASA-TLX (task load index): results of empirical and theoretical research. In: Advances in psychology, vol 52, pp 139–183. 10.1016/S0166-4115(08)62386-9
[13]
Hashimoto DA, Petrusa E, Phitayakorn R, Valle C, Casey B, and Gee D A proficiency-based virtual reality endoscopy curriculum improves performance on the fundamentals of endoscopic surgery examination Surg Endosc 2018 32 3 1397-1404
[14]
Kirschner PA Cognitive load theory: implications of cognitive load theory on the design of learning Learn Instr 2002 12 1 1-10
[15]
Krijn M, Emmelkamp PMG, Olafsson RP, and Biemond R Virtual reality exposure therapy of anxiety disorders: a review Clin Psychol Rev 2004 24 3 259-281
[16]
Lackey SJ, Salcedo JN, Szalma JL, and Hancock PA The stress and workload of virtual reality training: the effects of presence, immersion and flow Ergonomics 2016 59 8 1060-1072
[17]
McAuley E, Duncan T, and Tammen VV Psychometric properties of the intrinsic motivation inventory in a competitive sport setting: a confirmatory factor analysis Res Q Exerc Sport 1989 60 1 48-58
[18]
Mestre D, Fuchs P, Berthoz A, and Vercher JL Fuchs P, Moreau G, Berthoz A, and Vercher JL Immersion et présence Le Traite de la realite Virtuelle 2006 Paris Ecole Des Mines de Paris 309-338
[19]
Mulder JM, de Waard D, and Brookhuis KA Stanton N, Hedge A, Hendrick HW, Brookhuis KA, and Salas E Estimating mental effort using heart rate and heart rate variability Handbook of ergonomics and human factors methods 2004 London Taylor and Francis
[20]
Naismith LM, Cheung JJH, Ringsted C, and Cavalcanti RB Limitations of subjective cognitive load measures in simulation-based procedural training Med Educ 2015 49 8 805-814
[21]
Neumann DL, Moffitt RL, Thomas PR, Loveday K, Watling DP, Lombard CL, Antonova S, and Tremeer MA A systematic review of the application of interactive virtual reality to sport Virtual Real 2018 22 3 183-198
[22]
Pauzie A A method to assess the driver mental workload: the driving activity load index (DALI) IET Intel Transp Syst 2008 2 4 315-322
[23]
Pollock E, Chandler P, and Sweller J Assimilating complex information Learn Instr 2002 12 1 61-86
[24]
Renkl A and Atkinson RK Structuring the transition from example study to problem solving in cognitive skill acquisition: a cognitive load perspective Educ Psychol 2003 38 1 15-22
[25]
Rose FD, Attree EA, Brooks BM, Parslow DM, and Penn PR Training in virtual environments: transfer to real world tasks and equivalence to real task training Ergonomics 2000 43 4 494-511
[26]
Shin D Empathy and embodied experience in virtual environment: to what extent can virtual reality stimulate empathy and embodied experience? Comput Hum Behav 2018 78 64-73
[27]
Somrak A, Humar I, Hossain MS, Alhamid MF, Hossain MA, and Guna J Estimating VR sickness and user experience using different HMD technologies: an evaluation study Future Gener Comput Syst 2019 94 302-316
[28]
Stanney KM, Mollaghasemi M, Reeves L, Breaux R, and Graeber DA Usability engineering of virtual environments (VEs): identifying multiple criteria that drive effective VE system design Int J Hum Comput Stud 2003 58 4 447-481
[29]
Steed A, Pan Y, Zisch F, and Steptoe W The impact of a self-avatar on cognitive load in immersive virtual reality IEEE Virtual Real: VR 2016 2016 67-76
[30]
Stevens JA and Kincaid JP The relationship between presence and performance in virtual simulation training Open J Model Simul 2015 03 02 41-48
[31]
Sutherland LM, Middleton PF, Anthony A, Hamdorf J, Cregan P, Scott D, and Maddern GJ Surgical simulation Ann Surg 2006 243 3 291-300
[32]
Sweller J (1999) Instructional design in technical areas. ACER Press, Melbourne, Australia
[33]
R Core Team (2017) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. https://www.R-project.org/
[34]
Usoh M, Catena E, Arman S, and Slater M Using presence questionnaires in reality Presence Teleoperators Virtual Environ 2000 9 5 497-503
[35]
van Buuren S, Groothuis-Oudshoorn K (2011) Mice: multivariate imputation by chained equations in R. Retrieved 10 Dec 2018 from http://www.jstatsoft.org/v45/i03/
[36]
van Gog T, Ericsson KA, Rikers RMJP, and Paas F Instructional design for advanced learners: establishing connections between the theoretical frameworks of cognitive load and deliberate practice Educ Tech Res Dev 2005 53 3 73-81
[37]
Wickens CD (1992) Virtual reality and education. In: Proceedings of 1992 IEEE international conference on systems, man, and cybernetics, vol 1, pp 842–847. 10.1109/ICSMC.1992.271688
[38]
Wilson MR, Poolton JM, Malhotra N, Ngo K, Bright E, and Masters RSW Development and validation of a surgical workload measure: the surgery task load index (SURG-TLX) World J Surg 2011 35 9 1961
[39]
Zijlstra FRH (1993) Efficiency in work behaviour: a design approach for modern tools. Retrieved 5 Dec 2018 from http://resolver.tudelft.nl/uuid:d97a028b-c3dc-4930-b2ab-a7877993a17f

Cited By

View all
  • (2024)Heavy is the Hand: Effects of Hand-Tracking Input and Gestures on Locomotion Performance and User Experience in Virtual RealityProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701596(61-71)Online publication date: 1-Dec-2024
  • (2024)The Impact of Color and Object Size on Spatial Cognition and Object Recognition in Virtual RealityProceedings of the 17th ACM SIGGRAPH Conference on Motion, Interaction, and Games10.1145/3677388.3696325(1-11)Online publication date: 21-Nov-2024
  • (2024)Beyond Textbooks: A Study on Supporting Learning of Molecule Naming in a Virtual Reality EnvironmentProceedings of Mensch und Computer 202410.1145/3670653.3670668(310-322)Online publication date: 1-Sep-2024
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Virtual Reality
Virtual Reality  Volume 24, Issue 4
Dec 2020
245 pages
ISSN:1359-4338
EISSN:1434-9957
Issue’s Table of Contents

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 December 2020
Accepted: 11 December 2019
Received: 13 April 2019

Author Tags

  1. Workload
  2. Cognitive load
  3. Learning
  4. Virtual reality
  5. Training

Qualifiers

  • Research-article

Funding Sources

  • Royal Academy of Engineering

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 15 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2024)Heavy is the Hand: Effects of Hand-Tracking Input and Gestures on Locomotion Performance and User Experience in Virtual RealityProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701596(61-71)Online publication date: 1-Dec-2024
  • (2024)The Impact of Color and Object Size on Spatial Cognition and Object Recognition in Virtual RealityProceedings of the 17th ACM SIGGRAPH Conference on Motion, Interaction, and Games10.1145/3677388.3696325(1-11)Online publication date: 21-Nov-2024
  • (2024)Beyond Textbooks: A Study on Supporting Learning of Molecule Naming in a Virtual Reality EnvironmentProceedings of Mensch und Computer 202410.1145/3670653.3670668(310-322)Online publication date: 1-Sep-2024
  • (2024)Hands or Controllers? How Input Devices and Audio Impact Collaborative Virtual RealityProceedings of the 30th ACM Symposium on Virtual Reality Software and Technology10.1145/3641825.3687718(1-12)Online publication date: 9-Oct-2024
  • (2024)Watch This! Observational Learning in VR Promotes Better Far Transfer than Active Learning for a Fine Psychomotor TaskProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642550(1-19)Online publication date: 11-May-2024
  • (2024)Effects of cybersickness mitigation methods on behavior: a comparative study based on the skill–rule–knowledge modelVirtual Reality10.1007/s10055-024-01071-328:4Online publication date: 15-Nov-2024
  • (2024)Not just cybersickness: short-term effects of popular VR game mechanics on physical discomfort and reaction timeVirtual Reality10.1007/s10055-024-01007-x28:2Online publication date: 15-May-2024
  • (2023)Immersive Data Analysis for Planning Military Operations: Design and Think-Aloud StudyProceedings of the 25th Symposium on Virtual and Augmented Reality10.1145/3625008.3625019(66-76)Online publication date: 6-Nov-2023
  • (2023)Towards Flexible Authoring and Personalization of Virtual Reality Applications for TrainingProceedings of the ACM on Human-Computer Interaction10.1145/35932417:EICS(1-37)Online publication date: 19-Jun-2023
  • (2023)Geppetteau: Enabling haptic perceptions of virtual fluids in various vessel profiles using a string-driven haptic interfaceProceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3569009.3572745(1-14)Online publication date: 26-Feb-2023
  • Show More Cited By

View Options

View options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media