skip to main content
research-article

Frustration: Still a Common User Experience

Published:10 June 2023Publication History
Skip Abstract Section

Abstract

When computers unexpectedly delay or thwart goal attainment, frustration ensues. The central studies of the extent, content, and impact of such frustration were done more than 15 years ago. We revisit this issue after computers have become more mature and computer use is more extensive. To this end, we had 234 crowdsourced participants log the frustrating episodes they experienced with their computers during one hour of computer use. The average time lost due to frustrating episodes was between 11% and 20% of the one-hour period. Though this is less time lost than in the earlier studies, frustration remains a common user experience. While shorter, the median level of frustration during the episodes was high (7 on a 9-point scale). The frustration level correlated with task importance and time lost but was unaffected by computer experience and largely unaffected by computer self-efficacy. In addition, participants indicated that 84% of the episodes had happened before, that 87% could happen again, and that they were unable to resolve 26% of the episodes. This high rate of recurrence and lack of control likely added to the frustration level. The episodes spanned various issues pertaining to performance (49%), usability (36%), and utility (16%).

REFERENCES

  1. [1] Akers David, Simpson Matthew, Jeffries Robin, and Winograd Terry. 2009. Undo and erase events as indicators of usability problems. In Proceedings of the CHI2009 Conference on Human Factors in Computing Systems. ACM, New York, 659668. DOI:Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. [2] Alcott Blake. 2005. Jevons’ paradox. Ecological Economics 54, 1 (2005), 921. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  3. [3] Alharbi Ohoud and Stuerzlinger Wolfgang. 2022. Auto-cucumber: The impact of autocorrection failures on users’ frustration. In Proceedings of the Graphics Interface 2022 Conference. Canadian Information Processing Society, Mississauga, ON.Google ScholarGoogle Scholar
  4. [4] Amsel Abram. 1992. Frustration theory - Many years later. Psychological Bulletin 112, 3 (1992), 396399. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  5. [5] Aruguete Mara S., Huynh Ho, Browne Blaine L., Jurs Bethany, Flint Emilia, and McCutcheon Lynn E.. 2019. How serious is the ‘carelessness’ problem on Mechanical Turk? International Journal of Social Research Methodology 22, 5 (2019), 441449. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  6. [6] Baker Ryan S. J. d., D'Mello Sidney K., Rodrigo Ma Mercedes T., and Graesser Arthur C.. 2010. Better to be frustrated than bored: The incidence, persistence, and impact of learners’ cognitive-affective states during interactions with three different computer-based learning environments. International Journal of Human-Computer Studies 68, 4 (2010), 223241. DOI:Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. [7] Baumeister Roy F., Bratslavsky Ellen, Finkenauer Catrin, and Vohs Kathleen D.. 2001. Bad is stronger than good. Review of General Psychology 5, 4 (2001), 323370. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  8. [8] Berkowitz Leonard. 1989. Frustration-aggression hypothesis: Examination and reformulation. Psychological Bulletin 106, 1 (1989), 5973. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  9. [9] Bessière Katherine, Ceaparu Irina, Lazar Jonathan, Robinson John, and Shneiderman Ben. 2003. Social and psychological influences on computer user frustration. In Media Access: Social and Psychological Dimensions of New Technology Use. Bucy Erik P. and Newhagen John E. (Eds.), Routledge, New York, 91103. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  10. [10] Bessière Katie, Newhagen John E., Robinson John P., and Shneiderman Ben. 2006. A model for computer frustration: The role of instrumental and dispositional factors on incident, session, and post-session frustration and mood. Computers in Human Behavior 22, 6 (2006), 941961. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  11. [11] Blythe Mark and Monk Andrew. 2018. Funology 2: From Usability to Enjoyment. Second edition. Springer, Cham.Google ScholarGoogle ScholarCross RefCross Ref
  12. [12] Boehner Kirsten, DePaula Rogério, Dourish Paul, and Sengers Phoebe. 2007. How emotion is made and measured. International Journal of Human-Computer Studies 65, 4 (2007), 275291. DOI:Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. [13] Breuer Johannes and Elson Malte. 2017. Frustration-aggression theory. In The Wiley Handbook of Violence and Aggression, Peter Sturney (Ed.), Wiley, New York, 40:01–40:12. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  14. [14] Bruun Anders, Law Effie Lai-Chong, Heintz Matthias, and Alkly Lana H. A.. 2016. Understanding the relationship between frustration and the severity of usability problems: What can psychophysiological data (not) tell us? In Proceedings of the CHI2016 Conference on Human Factors in Computing Systems. ACM, New york, 39753987. DOI:Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. [15] Ceaparu Irina, Lazar Jonathan, Bessiere Katherine, Robinson John, and Shneiderman Ben. 2004. Determining causes and severity of end-user frustration. International Journal of Human-Computer Interaction 17, 3 (2004), 333356. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  16. [16] Cohen Jacob. 1960. A coefficient of agreement for nominal scales. Educational and Psychological Measurement 20, 1 (1960), 3746. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  17. [17] Csikszentmihalyi Mihaly and Larson Reed. 2014. Validity and reliability of the experience-sampling method. In Flow and the Foundations of Positive Psychology, Mihaly Csikszentmihalyi (Ed.), Springer, Netherlands, 3554.Google ScholarGoogle ScholarCross RefCross Ref
  18. [18] Dollard John, Miller Neal E., Doob Leonard W., Mowrer Orval H., and Sears Robert R.. 1939. Frustration and Aggression. Yale University Press, New Haven, CT.Google ScholarGoogle ScholarCross RefCross Ref
  19. [19] Dor-Shav Netia K. and Mikulincer Mario. 1990. Learned helplessness, causal attribution, and response to frustration. The Journal of General Psychology 117, 1 (1990), 4758. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  20. [20] Dumas Joe S.. 1989. Stimulating change through usability testing. ACM SIGCHI Bull. 21, 1 (1989), 3744. DOI:Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. [21] Ferreri Nina and Mayhorn Christopher B.. 2021. Individual differences in frustration and performance with online shopping activities. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, 1 (2021), 148153. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  22. [22] Gawande Atul. 2018. The Upgrade: Why doctors hate their computers. New Yorker November 12 (2018), 6273. Retrieved from https://www.newyorker.com/magazine/2018/11/12/why-doctors-hate-their-computers. Accessed February 12, 2023.Google ScholarGoogle Scholar
  23. [23] Golden Donald. 1980. A plea for friendly software. ACM SIGSOFT Software Engineering Notes 5, 4 (1980), 45. DOI:Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. [24] Hadlington Lee and Scase Mark O.. 2018. End-user frustrations and failures in digital technology: Exploring the role of fear of missing out, internet addiction and personality. Heliyon 4, 11 (2018), e00872. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  25. [25] Harrison Chris, Yeo Zhiquan, and Hudson Scott E.. 2010. Faster progress bars: Manipulating perceived duration with visual augmentations. In Proceedings of the CHI2010 Conference on Human Factors in Computing Systems. ACM, New York, 15451548. DOI:Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. [26] Hassenzahl Marc. 2004. The interplay of beauty, goodness, and usability in interactive products. Human-Computer Interact. 19, 4 (2004), 319349. DOI:Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. [27] Hertzum Morten. 2010. Frustration: A common user experience. In DHRS2010: Proceedings of the 10th Danish Human-Computer Interaction Research Symposium. Computer Science Research Report #132, Morten Hertzum and Magnus Hansen (Eds.). Roskilde University, Roskilde, DK, 1114.Google ScholarGoogle Scholar
  28. [28] Hertzum Morten. 2021. Reference values and subscale patterns for the task load index (TLX): A meta-analytic review. Ergonomics 64, 7 (2021), 869878. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  29. [29] Hertzum Morten. 2022. Associations among workload dimensions, performance, and situational characteristics: A meta-analytic review of the task load index. Behaviour and Information Technology 41, 16 (2022), 35063518. DOI: Google ScholarGoogle ScholarCross RefCross Ref
  30. [30] Hong Weiyin, Hess Traci J., and Hardin Andrew. 2013. When filling the wait makes it feel longer: A paradigm shift perspective for managing online delay. MIS Quarterly. 37, 2 (2013), 383406. Retrieved from https://www.jstor.org/stable/43825915.Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. [31] Kahneman Daniel, Krueger Alan B., Schkade David A., Schwarz Norbert, and Stone Arthur A.. 2004. A survey method for characterizing daily life experience: The day reconstruction method. Science 306, 5702 (2004), 17761780. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  32. [32] Kano Noriaki. 1984. Attractive quality and must-be quality. Journal of the Japanese Society for Quality Control 14, 2 (1984), 3948.Google ScholarGoogle Scholar
  33. [33] Kjeldskov Jesper, Skov Mikael B., and Stage Jan. 2010. A longitudinal study of usability in health care: Does time heal? International Journal of Medical Informatics 79, 6 (2010), e135e143. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  34. [34] Landauer Thomas K.. 1995. The Trouble with Computers: Usefulness, Usability, and Productivity. MIT Press, Cambridge, MA.Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. [35] Lazar Jonathan, Feng Jinjuan H., and Hochheiser Harry. 2017. Research Methods in Human-Computer Interaction (2nd ed.). Morgan Kaufmann, Cambridge, MA.Google ScholarGoogle Scholar
  36. [36] Lazar Jonathan, Jones Adam, Hackley Mary, and Shneiderman Ben. 2006. Severity and impact of computer user frustration: A comparison of student and workplace users. Interacting with Computers 18, 2 (2006), 187207. DOI:Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. [37] Lazar Jonathan, Jones Adam, and Shneiderman Ben. 2006. Workplace user frustration with computers: An exploratory investigation of the causes and severity. Behaviour and Information Technology 25, 3 (2006), 239251. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  38. [38] Mendoza Valerie and Novick David G.. 2005. Usability over time. In Proceedings of the SIGDOC2005 Conference on Design of Communication. ACM, New York, 151158. DOI:Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. [39] Mentis Helena and Gay Geri. 2003. User recalled occurrences of usability errors: Implications on the user experience. In Proceedings of the CHI2003 Conference on Human Factors in Computing Systems: Extended Abstracts. ACM, New York, 736737. DOI:Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. [40] Novick David G., Elizalde Edith, and Bean Nathaniel. 2007. Toward a more accurate view of when and how people seek help with computer applications. In Proceedings of the SIGDOC2007 Conference on Design of Communication. ACM, New York, 95102. DOI:Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. [41] Novick David G., Santaella Baltazar, Cervantes Aaron, and Andrade Carlos. 2012. Short-term methodology for long-term usability. In Proceedings of the SIGDOC2012 Conference on Design of Communication. ACM, New York, 205211. DOI:Google ScholarGoogle ScholarDigital LibraryDigital Library
  42. [42] Piasna Agnieszka, Zwysen Wouter, and Drahokoupil Jan. 2022. The Platform Economy in Europe: Results from the Second ETUI Internet and Platform Work Survey. Working paper 2022.05. European Trade Union Institute, Brussels.Google ScholarGoogle Scholar
  43. [43] Posch Lisa, Bleier Arnim, Flöck Fabian, Lechner Clemens M., Kinder-Kurlanda Katharina, Helic Denis, and Strohmaier Markus. 2022. Characterizing the global crowd workforce: A cross-country comparison of crowdworker demographics. Human Computation 9, 1 (2022), 2257. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  44. [44] Ramsay Judith, Barbesi Alessandro, and Preece Jenny. 1998. A psychological investigation of long retrieval times on the world wide web. Interacting with Computers 10, 1 (1998), 7786. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  45. [45] Reed Kendra, Doty D. Harold, and Douglas R. 2005. The impact of aging on self-efficacy and computer skill acquisition. Journal of Managerial Issues 17, 2 (2005), 212228. Retrieved from https://www.jstor.org/stable/40604496.Google ScholarGoogle Scholar
  46. [46] Saariluoma Pertti and Jokinen Jussi P. P.. 2014. Emotional dimensions of user experience: A user psychological analysis. International Journal of Human-Computer Interaction 30, 4 (2014), 303320. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  47. [47] Seow Steven C.. 2008. Designing and Engineering Time: The Psychology of Time Perception in Software. Addison-Wesley, Upper Saddle River, NJ. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  48. [48] Shackel Brian. 1985. Human factors and usability - Whence and whither? In Software-Erqonomie’85: Mensch-Computer-lnteraktion. 1331.Google ScholarGoogle Scholar
  49. [49] Sharma Manoj K., Sunil Shweta, Roopesh B. N., Galagali Preeti M., Anand Nitin, Thakur Pranjali C., Singh Priya, Ajith S. J., and Murthy Keshava D.. 2020. Digital failure: An emerging reason of anger expression among adolescents. Industrial Psychiatry Journal 29, 2 (2020), 335338. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  50. [50] Shiffman Saul, Stone Arthur A., and Hufford Michael R.. 2008. Ecological momentary assessment. Annual Review of Clinical Psychology 4, (2008), 132. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  51. [51] Shneiderman Ben. 2000. Universal usability. Communications of the ACM 43, 5 (2000), 8491. DOI:Google ScholarGoogle ScholarDigital LibraryDigital Library
  52. [52] Spencer Donna. 2009. Card sorting: Designing Usable Categories. Rosenfeld, New York.Google ScholarGoogle Scholar
  53. [53] Spencer Rosemary, Coiera Enrico, and Logan Pamela. 2004. Variation in communication loads on clinical staff in the emergency department. Annals of Emergency Medicine 44, 3 (2004), 268273. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  54. [54] Tuch Alexandre N. and Hornbæk Kasper. 2015. Does Herzberg's notion of hygienes and motivators apply to user experience? ACM Transactions on Computer-Human Interaction 22, 4 (2015), 124. DOI:Google ScholarGoogle ScholarDigital LibraryDigital Library
  55. [55] Yu Rongjun. 2016. The neural basis of frustration state. In Neuroimaging Personality, Social Cognition, and Character, John R. Absher and Jasmin Cloutier (Eds.). Academic Press, Amsterdam, 223243. DOI:Google ScholarGoogle ScholarCross RefCross Ref
  56. [56] Zimmerman Nichole K., Sambrook Everett, and Gore Jonathan S.. 2014. The effects of a computer malfunction on subsequent task performance. Behaviour and Information Technology 33, 9 (2014), 874881. DOI:Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Frustration: Still a Common User Experience

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in

    Full Access

    • Published in

      cover image ACM Transactions on Computer-Human Interaction
      ACM Transactions on Computer-Human Interaction  Volume 30, Issue 3
      June 2023
      544 pages
      ISSN:1073-0516
      EISSN:1557-7325
      DOI:10.1145/3604411
      Issue’s Table of Contents

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 10 June 2023
      • Online AM: 30 January 2023
      • Accepted: 9 January 2023
      • Revised: 20 December 2022
      • Received: 11 October 2022
      Published in tochi Volume 30, Issue 3

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Full Text

    View this article in Full Text.

    View Full Text