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Information Systems and Neuroscience pp 25–35Cite as

Blood Pressure Measurement: A Classic of Stress Measurement and Its Role in Technostress Research

Part of the Lecture Notes in Information Systems and Organisation book series (LNISO,volume 25)

Abstract

In this paper, we present blood pressure measurement as an additional data collection method for technostress research. Considering that blood pressure is an important stress indicator and that, to the best of our knowledge, no prior Information Systems (IS) paper had an explicit focus on blood pressure measurement, the present paper is urgently needed, in particular from a technostress measurement perspective. We briefly describe the best practice in blood pressure measurement. Based on this foundation, we present a review of 15 empirical technostress studies that used blood pressure as a stress indicator. We find significant application variety in the extant literature, signifying the potential of blood pressure measurement for longitudinal technostress research. Yet, researchers should more explicitly adhere to international guidelines for the application of blood pressure measurement in future research, thereby securing data collection and data analysis quality.

Keywords

  • Technostress
  • Stress
  • Blood pressure
  • Self-measurement
  • NeuroIS

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  • DOI: 10.1007/978-3-319-67431-5_4
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Notes

  1. 1.

    “mm Hg” or “millimeter of mercury” (in a mercury sphygmomanometer) is a unit used to define the pressure of bodily fluids, with 1 mm Hg = 0.00133 bar.

  2. 2.

    Search in ISI—Web of Science on 04/06/2017 using the query: Topic: “Blood pressure” AND Topic: “information technology” OR “information system” OR “human-computer interaction”, which resulted in 209 publications.

References

  1. Riedl, R.: On the biology of technostress: literature review and research agenda. DATA BASE Adv. Inf. Syst. 44, 18–55 (2013)

    CrossRef  Google Scholar 

  2. Fischer, T., Riedl, R.: Technostress research: a nurturing ground for measurement pluralism? Commun. Assoc. Inf. Syst. 40, 17 (2017)

    Google Scholar 

  3. Fischer, T., Riedl, R.: NeuroIS in situ: on the need for neuroIS research in the field to study organizational phenomena. In: Liang, T.-P., Yen, N.-S. (eds.) Workshop on Information and Neural Decision Sciences, pp. 20–21. National Chengchi University, Taipei, Taiwan (2014)

    Google Scholar 

  4. Tams, S., Hill, K., de Guinea, A.O., Thatcher, J., Grover, V.: NeuroIS—alternative or complement to existing methods? illustrating the holistic effects of neuroscience and self-reported data in the context of technostress research. J. Assoc. Inf. Syst. 15, 723–753 (2014)

    Google Scholar 

  5. Fischer, T., Riedl, R.: The status quo of neurophysiology in organizational technostress research: a review of studies published from 1978 to 2015. In: Davis, F.D., Riedl, R., Vom Brocke, J., Léger, P.-M., Randolph, A.B. (eds.) Information Systems and Neuroscience, Lecture Notes in Information Systems and Organisation, vol. 10, pp. 9–17. Springer International Publishing, Cham (2015)

    Google Scholar 

  6. Riedl, R., Kindermann, H., Auinger, A., Javor, A.: Technostress from a neurobiological perspective—system breakdown increases the stress hormone cortisol in computer users. Bus. Inf. Syst. Eng. 4, 61–69 (2012)

    CrossRef  Google Scholar 

  7. Juster, R.-P., McEwen, B.S., Lupien, S.J.: Allostatic load biomarkers of chronic stress and impact on health and cognition. Neurosci. Biobehav. Rev. 35, 2–16 (2010)

    CrossRef  Google Scholar 

  8. Chobanian, A.V., Bakris, G.L., Black, H.R., Cushman, W.C., Green, L.A., Izzo, J.L., JR, Jones, D.W., Materson, B.J., Oparil, S., Wright, J.T., JR, et al.: The seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure: the JNC 7 report. JAMA 289, 2560–2572 (2003)

    Google Scholar 

  9. O’Brien, E., Atkins, N., Stergiou, G., Karpettas, N., Parati, G., Asmar, R., Imai, Y., Wang, J., Mengden, T., Shennan, A.: European society of hypertension international protocol revision 2010 for the validation of blood pressure measuring devices in adults. Blood Pressure Monit. 15, 23–38 (2010)

    CrossRef  Google Scholar 

  10. O’Brien, E., Asmar, R., Beilin, L., Imai, Y., Mallion, J.-M., Mancia, G., Mengden, T., Myers, M., Padfield, P., Palatini, P., et al.: European society of hypertension recommendations for conventional, ambulatory and home blood pressure measurement. J. Hypertens. 21, 821–848 (2003)

    CrossRef  Google Scholar 

  11. Pickering, T.G., Hall, J.E., Appel, L.J., Falkner, B.E., Graves, J., Hill, M.N., Jones, D.W., Kurtz, T., Sheps, S.G., Roccella, E.J.: Recommendations for blood pressure measurement in humans and experimental animals. Part 1: blood pressure measurement in humans. a statement for professionals from the subcommittee of professional and public education of the american heart association council on high blood pressure research. Circulation 111, 697–716 (2005)

    CrossRef  Google Scholar 

  12. Neuhauser, H.K., Adler, C., Rosario, A.S., Diederichs, C., Ellert, U.: Hypertension prevalence, awareness, treatment and control in Germany 1998 and 2008–11. J. Hum. Hypertens. 29, 247–253 (2015)

    CrossRef  Google Scholar 

  13. National Center for Health Statistics (US): Health, United States: With Special Feature on Racial and Ethnic Health Disparities. Hyattsville, MD, USA (2015)

    Google Scholar 

  14. Ogedegbe, G., Pickering, T.: Principles and techniques of blood pressure measurement. Cardiol. Clin. 28, 571–586 (2010)

    CrossRef  Google Scholar 

  15. Emurian, H.H.: Physiological responses during data retrieval: comparison of constant and variable system response times. Comput. Hum. Behav. 7, 291–310 (1991)

    CrossRef  Google Scholar 

  16. Emurian, H.H.: Cardiovascular and electromyograph effects of low and high density work on an interactive information system. Comput. Hum. Behav. 9, 353–370 (1993)

    CrossRef  Google Scholar 

  17. Wastell, D., Newman, M.: Information system design, stress and organisational change in the ambulance services: a tale of two cities. Acc. Manage. Inf. Technol. 6, 283–300 (1996)

    Google Scholar 

  18. Wastell, D., Newman, M.: Stress, control and computer system design: a psychophysiological field study. Behav. Inf. Technol. 15, 183–192 (1996)

    CrossRef  Google Scholar 

  19. Johansson, G., Aronsson, G.: Stress reactions in computerized administrative work. J. Organ. Behav. 5, 159–181 (1984)

    CrossRef  Google Scholar 

  20. Hjortskov, N., Rissén, D., Blangsted, A.K., Fallentin, N., Lundberg, U., Søgaard, K.: The effect of mental stress on heart rate variability and blood pressure during computer work. Eur. J. Appl. Physiol. 92, 84–89 (2004)

    CrossRef  Google Scholar 

  21. Kuhmann, W., Boucsein, W., Schaefer, F., Alexander, J.: Experimental investigation of psychophysiological stress-reactions induced by different system response times in human-computer interaction∗. Ergonomics 30, 933–943 (1987)

    CrossRef  Google Scholar 

  22. Kuhmann, W.: experimental investigation of stress-inducing properties of system response times. Ergonomics 32, 271–280 (1989)

    CrossRef  Google Scholar 

  23. Kohlisch, O., Kuhmann, W.: System response time and readiness for task execution the optimum duration of inter-task delays. Ergonomics 40, 265–280 (1997)

    CrossRef  Google Scholar 

  24. Thum, M., Boucsein, W., Kuhmann, W., Ray, W.J.: Standardized task strain and system response times in human-computer interaction. Ergonomics 38, 1342–1351 (1995)

    CrossRef  Google Scholar 

  25. Schleifer, L.M., Okogbaa, G.O.: System response time and method of pay: cardiovascular stress effects in computer-based tasks*. Ergonomics 33, 1495–1509 (1990)

    CrossRef  Google Scholar 

  26. Lundberg, U., Melin, B., Evans, G.W., Holmberg, L.: Physiological deactivation after two contrasting tasks at a video display terminal: learning vs repetitive data entry. Ergonomics 36, 601–611 (1993)

    CrossRef  Google Scholar 

  27. Boucsein, W.: Forty years of research on system response times—what did we learn from it? In: Schlick, C.M. (ed.) Industrial Engineering and Ergonomics, pp. 575–593. Springer, Berlin (2009)

    CrossRef  Google Scholar 

  28. Harada, H., Okabe, K., Katsuura, T., Kikuchi, Y.: Effects of time stress on psychophysiological responses during data entry tasks. Appl. Hum. Sci. J. Physiol. Anthropol. 14, 279–285 (1995)

    CrossRef  Google Scholar 

  29. Henderson, R., Mahar, D., Salba, A., Deane, F., Napier, R.: Electronic monitoring systems: an examination of physiological activity and task performance within a simulated keystroke security and electronic performance monitoring system. Int. J. Hum. Comput. Stud. 48, 143–157 (1998)

    CrossRef  Google Scholar 

  30. Clayton, R.B., Leshner, G., Almond, A.: The extended iSelf: the impact of iPhone separation on cognition, emotion, and physiology. J. Comput. Mediated Commun. 20, 119–135 (2015)

    CrossRef  Google Scholar 

  31. Parati, G., Stergiou, G.S., Asmar, R., Bilo, G., Leeuw, P. de, Imai, Y., Kario, K., Lurbe, E., Manolis, A., Mengden, T., et al.: European society of hypertension guidelines for blood pressure monitoring at home: a summary report of the second international consensus conference on home blood pressure monitoring. J. Hypertens. 26, 1505–1526 (2008)

    Google Scholar 

  32. Turel, O., Romashkin, A., Morrison, K.M.: Health outcomes of information system use lifestyles among adolescents: videogame addiction, sleep curtailment and cardio-metabolic deficiencies. PLoS ONE 11, e0154764 (2016)

    CrossRef  Google Scholar 

  33. Stafford, R.Q., MacDonald, B.A., Li, X., Broadbent, E.: Older people’s prior robot attitudes influence evaluations of a conversational robot. Int. J. Soc. Robot. 6, 281–297 (2014)

    CrossRef  Google Scholar 

  34. Why, Y.P., Johnston, D.W.: Cynicism, anger and cardiovascular reactivity during anger recall and human–computer interaction. Int. J. Psychophysiol. 68, 219–227 (2008)

    CrossRef  Google Scholar 

  35. Steptoe, A., Cropley, M., Joekes, K.: Job strain, blood pressure and response to uncontrollable stress. J. Hypertens. 17, 193–200 (1999)

    CrossRef  Google Scholar 

  36. Guyenet, P.G.: The sympathetic control of blood pressure. Nat. Rev. Neurosci. 7, 335–346 (2006)

    CrossRef  Google Scholar 

  37. Riedl, R., Davis, F.D., Hevner, A.R.: Towards a NeuroIS research methodology: intensifying the discussion on methods, tools, and measurement. J. Assoc. Inf. Syst. 15, i–xxxv (2014)

    Google Scholar 

  38. Adam, M.T.P., Gimpel, H., Maedche, A., Riedl, R.: Design blueprint for stress-sensitive adaptive enterprise systems. Bus. Inf. Syst. Eng. 59(4), 277–291 (2017)

    Google Scholar 

  39. Schaaff, K., Degen, R., Adler, N., Adam, Marc T. P.: Measuring affect using a standard mouse device. Biomed. Eng. (Biomedizinische Technik) 57(Suppl 1), 761–764 (2012)

    Google Scholar 

  40. Müller-Putz, G.R., Riedl, R., Wriessnegger, S.C.: Electroencephalography (EEG) as a research tool in the information systems discipline: foundations, measurement, and applications. Commun. Assoc. Inf. Syst. 37, 46 (2015)

    Google Scholar 

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Author information

Authors and Affiliations

  1. University of Applied Sciences Upper Austria, Steyr, Austria

    Thomas Fischer, Gerhard Halmerbauer, Eva Meyr & René Riedl

  2. University of Linz, Linz, Austria

    René Riedl

Authors
  1. Thomas Fischer
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  2. Gerhard Halmerbauer
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  3. Eva Meyr
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  4. René Riedl
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Corresponding author

Correspondence to Thomas Fischer .

Editor information

Editors and Affiliations

  1. Information Systems and Quantitative Sciences (ISQS), Texas Tech University, Lubbock, Texas, USA

    Prof. Dr. Fred D. Davis

  2. University of Applied Sciences Upper Austria, Steyr, Oberösterreich, Austria

    Prof. Dr. René Riedl

  3. Department of Information Systems, University of Liechtenstein, Vaduz, Liechtenstein

    Prof. Dr. Jan vom Brocke

  4. Department of Information Technology, HEC Montréal, Montreal, Québec, Canada

    Dr. Pierre-Majorique Léger

  5. Department of Information Systems, Kennesaw State University, Kennesaw, Georgia, USA

    Prof. Dr. Adriane B. Randolph

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Fischer, T., Halmerbauer, G., Meyr, E., Riedl, R. (2018). Blood Pressure Measurement: A Classic of Stress Measurement and Its Role in Technostress Research. In: Davis, F., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A. (eds) Information Systems and Neuroscience. Lecture Notes in Information Systems and Organisation, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-67431-5_4

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