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Mental Workload and Technostress at Work. Which Perspectives and Theoretical Frameworks Can Help Us Understand Both Phenomena Together?

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Engineering Psychology and Cognitive Ergonomics. Mental Workload, Human Physiology, and Human Energy (HCII 2020)

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Abstract

This paper is a literature review attempting to summarize the different theories and models that can deal with the phenomena of technostress and mental workload generated by the use of digital technologies in the work context. Theories including the task-technology fit model, the person-technology fit or the socio-technical perspectives such as the process of appropriation of technology, will foster a new point of view to understand the relationship between mental workload and technostress. A discussion will be proposed, comprehending a series of reflections on the above-mentioned theories, as well as an attempt to answer the question proposed in the title of this paper.

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References

  1. Aljukhadar, M., et al.: Is more always better? Investigating the task-technology fit theory in an online user context. Inf. Manag. 51(4), 391–397 (2014). https://doi.org/10.1016/j.im.2013.10.003

    Article  Google Scholar 

  2. Ayyagari, R., et al.: Technostress: technological antecedents and implications. MIS Q. 35(4), 831 (2011). https://doi.org/10.2307/41409963

  3. Ayyagari, R.: Impact of information overload and task-technology fit on technostress. In: Proceedings of the Southern Association for Information Systems Conference, Atlanta, GA, USA, 23–24 March (2012)

    Google Scholar 

  4. Carroll, J.: Human-Computer Interaction in the New Millennium. ACM Press, Addison-Wesley, New York, Boston (2001)

    Google Scholar 

  5. Brod, C.: Technostress: The Human Cost of the Computer Revolution. Addison Wesley, London (1984)

    Google Scholar 

  6. Burns, C.M.: Understanding, supporting, and redesigning cognitive work. In: Longo, L., Leva, M.C. (eds.) H-WORKLOAD 2018. CCIS, vol. 1012, pp. 3–12. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-14273-5_1

    Chapter  Google Scholar 

  7. Cain, B.: A review of the mental workload literature. Defence Research and Development Toronto (Canada), Toronto, ON, Canada, pp. 1–35 (2007)

    Google Scholar 

  8. Carroll, J.: Completing design in use: closing the appropriation cycle. In: ECIS 2004 Proceedings (2004)

    Google Scholar 

  9. Carroll, J., et al.: Identity, power and fragmentation in cyberspace: technology appropriation by young people. In: ACIS 2001 Proceedings (2001)

    Google Scholar 

  10. Cascio, W.F.: Psychology of human resource management. In: International Encyclopedia of the Social & Behavioral Sciences, pp. 348–352 Elsevier (2015). https://doi.org/10.1016/B978-0-08-097086-8.73024-8

  11. Cascio, W.F., Montealegre, R.: How technology is changing work and organizations. Annu. Rev. Organ. Psychol. Organ. Behav. 3(1), 349–375 (2016). https://doi.org/10.1146/annurev-orgpsych-041015-062352

    Article  Google Scholar 

  12. D’Ambra, J., et al.: Application of the task-technology fit model to structure and evaluate the adoption of e-books by academics. J. Am. Soc. Inf. Sci. Technol. 64(1), 48–64 (2013). https://doi.org/10.1002/asi.22757

    Article  Google Scholar 

  13. (Mandy) Dang, Y., et al.: Examining the impacts of mental workload and task-technology fit on user acceptance of the social media search system. Inf. Syst. Front. (2018). https://doi.org/10.1007/s10796-018-9879-y

  14. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319 (1989). https://doi.org/10.2307/249008

  15. Dix, A.: Designing for appropriation. In: Proceedings of the 21st British HCI Group Annual Conference on HCI 2007: HCI…but not as we know it - Volume 2, BCS HCI 2007, University of Lancaster, United Kingdom, 3–7 September 2007 (2007)

    Google Scholar 

  16. Dix, A. (ed.): Human-Computer Interaction. Pearson/Prentice-Hall, Harlow, New York (2004)

    Google Scholar 

  17. Fischer, T., Riedl, R.: Technostress research: a nurturing ground for measurement pluralism? CAIS 40, 375–401 (2017). https://doi.org/10.17705/1CAIS.04017

  18. French Jr., J.R.P., Rodgers, W.L., Cobb, S.: Adjustment as person-environment fit. In: Coelho, G., Hamburg, D., Adams, J. (eds.) Coping and Adaptation, pp. 316–333. Basic Books, New York (1974)

    Google Scholar 

  19. Fuglseth, A.M., Sørebø, Ø.: The effects of technostress within the context of employee use of ICT. Comput. Hum. Behav. 40, 161–170 (2014). https://doi.org/10.1016/j.chb.2014.07.040

    Article  Google Scholar 

  20. Galy, E.: A multidimensional scale of mental workload evaluation based on Individual – Workload – Activity (IWA) model: validation and relationships with job satisfaction. Tutor. Quant. Methods Psychol. (2019, in press)

    Google Scholar 

  21. Galy, E.: Consideration of several mental workload categories: perspectives for elaboration of new ergonomic recommendations concerning shiftwork. Theor. Issues Ergon. Sci. 19(4), 483–497 (2017). https://doi.org/10.1080/1463922X.2017.1381777

    Article  Google Scholar 

  22. Galy, E.: Temps de travail pour tant de travail: Vers un modèle intégrant l’individu, la charge mentale et l’activité (ICA). Presses Académiques Franco (2013)

    Google Scholar 

  23. Galy, E., et al.: What is the relationship between mental workload factors and cognitive load types? Int. J. Psychophysiol. 83(3), 269–275 (2012). https://doi.org/10.1016/j.ijpsycho.2011.09.023

    Article  Google Scholar 

  24. Goodhue, D.L.: Development and measurement validity of a task-technology fit instrument for user evaluations of information system. Decis. Sci. 29(1), 105–138 (1998). https://doi.org/10.1111/j.1540-5915.1998.tb01346.x

    Article  Google Scholar 

  25. Goodhue, D.L., Thompson, R.L.: Task-technology fit and individual performance. MIS Q. 19(2), 213 (1995). https://doi.org/10.2307/249689

  26. Hsiao, K.-L.: Compulsive mobile application usage and technostress: the role of personality traits. Online Inf. Rev. 41(2), 272–295 (2017). https://doi.org/10.1108/OIR-03-2016-0091

    Article  Google Scholar 

  27. Hollender, N., et al.: Integrating cognitive load theory and concepts of human–computer interaction. Comput. Hum. Behav. 26(6), 1278–1288 (2010). https://doi.org/10.1016/j.chb.2010.05.031

    Article  Google Scholar 

  28. Isaac, H., et al.: Surcharge informationnelle, urgence et TIC. L’effet temporel des technologies de l’information. Manag. Avenir 13(3), 149 (2007). https://doi.org/10.3917/mav.013.0149

  29. Ivory, M., Hearst, M.: The state of the art in automating usability evaluation of user interfaces. ACM Comput. Surv. 33(4), 470–516 (2001)

    Article  Google Scholar 

  30. Karray, F., et al.: Human-computer interaction: overview on state of the art. Int. J. Smart Sens. Intell. Syst. 1(1), 137–159 (2008). https://doi.org/10.21307/ijssis-2017-283

  31. Kim, J., Gatling, A.: Impact of employees’ job, organizational and technology fit on engagement and organizational citizenship behavior. JHTT, JHTT-04-2018-0029 (2019). https://doi.org/10.1108/JHTT-04-2018-0029

  32. Kupersmith, J.: Technostress and the reference librarian. Ref. Serv. Rev. 20(2), 7–50 (1992). https://doi.org/10.1108/eb049150

    Article  Google Scholar 

  33. Longo, L.: Experienced mental workload, perception of usability, their interaction and impact on task performance. PLoS ONE 13(8), e0199661 (2018). https://doi.org/10.1371/journal.pone.0199661

  34. Longo, L., et al.: The importance of human mental workload in web design. In: WEBIST 2012: 8th International Conference on Web Information Systems and Technologies, Porto, Portugal, 18–21 April (2012)

    Google Scholar 

  35. Mahapatra, M., Pillai, R.: Technostress in organizations. A review of literature. In: 26th European Conference on Information Systems (ECIS2018), Portsmouth, UK (2018)

    Google Scholar 

  36. Marchiori, D.M., et al.: Do individual characteristics influence the types of technostress reported by workers? Int. J. Hum.-Comput. Interact. 35(3), 218–230 (2019). https://doi.org/10.1080/10447318.2018.1449713

    Article  Google Scholar 

  37. McCarthy, R., Aronson, J., Mazouz, K.: Measuring the validity of task technology fit for knowledge management systems. In: AMCIS 2001 Proceedings, p. 337 (2001)

    Google Scholar 

  38. Mitchell, D.K.: Mental Workload and ARL Workload Modeling Tools (Technical Note ARL-TN-161). U.S. Army Research Laboratory, Aberdeen Proving Ground, MD (2000)

    Book  Google Scholar 

  39. Nimrod, G.: Technostress: measuring a new threat to well-being in later life. Aging Mental Health 22(8), 1086–1093 (2018). https://doi.org/10.1080/13607863.2017.1334037

    Article  Google Scholar 

  40. O’Donnell, R., Eggemeier, F.: Workload assessment methodology. In: Boff, K.R., Kaufman, L., Thomas, J.P. (eds.) Handbook of Perception and Human Performance, Cognitive Processes and Performance, vol. 2. Wiley, Hoboken (1986)

    Google Scholar 

  41. Orlikowski, W.J.: Using technology and constituting structures; a practice lens for studying technology in organizations. Organ. Sci. 11(4) (2000). https://doi.org/10.1287/orsc.11.4.404.14600

  42. Orlikowski, W.J.: The duality of technology: rethinking the concept of technology in organizations. Organ. Sci. 3(3), 398–427 (1992). https://doi.org/10.1287/orsc.3.3.398

    Article  Google Scholar 

  43. Orru, G., Longo, L.: The evolution of cognitive load theory and the measurement of its intrinsic, extraneous and germane loads: a review. In: Longo, L., Leva, M.C. (eds.) H-WORKLOAD 2018. CCIS, vol. 1012, pp. 23–48. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-14273-5_3

    Chapter  Google Scholar 

  44. Ragu-Nathan, T.S., et al.: The consequences of technostress for end users in organizations: conceptual development and empirical validation. Inf. Syst. Res. 19(4), 417–433 (2008). https://doi.org/10.1287/isre.1070.0165

    Article  Google Scholar 

  45. Riedl, R.: On the biology of technostress: literature review and research agenda. SIGMIS Database 44(1), 18 (2012). https://doi.org/10.1145/2436239.2436242

  46. Rosen, L., Weil, M.: Technostress: Coping with Technology@ Work@ Home@ Play. Wiley, Etobicoke (1997)

    Google Scholar 

  47. Salanova, M., et al.: El Tecnoestrés: Concepto, Medida e Intervención Psicosocial [Technostress: Concept, Measurement and Prevention]. Nota Técnica de Prevención. Instituto Nacional de Seguridad e Higiene en el Trabajo, Madrid (2007)

    Google Scholar 

  48. Salanova, M., et al.: The dark side of technologies: technostress among users of information and communication technologies. Int. J. Psychol. 48(3), 422–436 (2013). https://doi.org/10.1080/00207594.2012.680460

    Article  Google Scholar 

  49. Sellberg, C., Susi, T.: Technostress in the office: a distributed cognition perspective on human–technology interaction. Cogn. Technol. Work 16(2), 187–201 (2014). https://doi.org/10.1007/s10111-013-0256-9

    Article  Google Scholar 

  50. Sperandio, J.: La charge mentale… au travers de quelques recherches anciennes d’ergonomie. In: 10th Conference on Psychology and Ergonomics EPIQUE Arpege Science Publishing, pp. 57–62 (2019)

    Google Scholar 

  51. Sweller, J.: Cognitive load during problem solving: effects on learning. Cogn. Sci. 12, 257–285 (1988)

    Article  Google Scholar 

  52. Sweller, J.: Cognitive load theory, learning difficulty and instructional design. Learn. Instr. 4, 295–312 (1994)

    Article  Google Scholar 

  53. Tarafdar, M., et al.: Impact of technostress on end-user satisfaction and performance. J. Manag. Inf. Sys. 27(3), 303–334 (2010). https://doi.org/10.2753/MIS0742-1222270311

    Article  Google Scholar 

  54. Tarafdar, M., et al.: The impact of technostress on role stress and productivity. J. Manag. Inf. Sys. 24(1), 301–328 (2007). https://doi.org/10.2753/MIS0742-1222240109

    Article  Google Scholar 

  55. Tarafdar, M., Wenninger, H.: Effects of ‘fit’ on email overload. In: Twenty-Fourth Americas Conference on Information Systems, New Orleans (2018)

    Google Scholar 

  56. Tracy, J.P., Albers, M.J.: Measuring cognitive load to test the usability of web sites. In: Annual Conference-Society for Technical Communication, vol. 53, pp. 256–260 (2006)

    Google Scholar 

  57. Tomer, G.: Person-technology fit and work outcomes: a study among IT professionals in India. ECIS 2015 Completed Research Papers, Paper 181 (2015)

    Google Scholar 

  58. Tomer, G.: Towards developing career technology fit framework and analyzing its influence on work related outcomes among IT professionals (2013)

    Google Scholar 

  59. Tu, Q., Wang, K., Shu, Q., Computer stress – related in china. Commun. ACM 48(4), 77–81 (2008)

    Google Scholar 

  60. Vold, M.A.: New technology in the office: attitudes and consequences. Work Stress: Int. J. Work Health Organ. 1, 143–153 (1987). https://doi.org/10.1080/02678378708258496

    Article  Google Scholar 

  61. Wickens, C.D.: Multiple resources and mental workload. Hum. Factors 50(3), 449–455 (2008). https://doi.org/10.1518/001872008X288394

    Article  Google Scholar 

  62. Yan, Z., et al.: Understanding the linkage between technology features and technostress. In: Telemedicine Communication, ECIS 2013 Research in Progress (2013)

    Google Scholar 

  63. Yong, J.-H., et al.: A study of person-technology fit in the cloud computing classroom. Int. J. Online Pedagogy Course Des. 7(3), 1–16 (2017). https://doi.org/10.4018/IJOPCD.2017070101

  64. Young, M.S., et al.: State of science: mental workload in ergonomics. Ergonomics 58(1), 1–17 (2015). https://doi.org/10.1080/00140139.2014.956151

    Article  Google Scholar 

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Correspondence to José Manuel Castillo , Edith Galy or Pierre Thérouanne .

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Castillo, J.M., Galy, E., Thérouanne, P. (2020). Mental Workload and Technostress at Work. Which Perspectives and Theoretical Frameworks Can Help Us Understand Both Phenomena Together?. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. Mental Workload, Human Physiology, and Human Energy. HCII 2020. Lecture Notes in Computer Science(), vol 12186. Springer, Cham. https://doi.org/10.1007/978-3-030-49044-7_2

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  • DOI: https://doi.org/10.1007/978-3-030-49044-7_2

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