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Investigating the Impact of Emotions on the Quality of Novice Programmers’ Code

In: Information Systems and Neuroscience

Author

Listed:
  • Lisero Mugula

    (Kennesaw State University)

  • Rosemary Tufon

    (Kennesaw State University)

  • Yang Shi

    (North Carolina State University)

  • Maria Valero

    (Kennesaw State University)

  • Adriane B. Randolph

    (Kennesaw State University)

  • Valentina Nino

    (Kennesaw State University)

Abstract

This paper examines the impact of emotions on the quality of code for novice programmers while developing in an experimental setting using Python. A relaxation mechanism was additionally-used to explore the possible effect on emotion and programmer performance. Non-invasive EEG was recorded to assess activations in the left and right prefrontal cortex often related to emotions. The quality of code was obtained based on the Code-based Deep Knowledge Tracing method. Contrary to expectations, preliminary results show that positive emotions may contribute to novice programmers generating lower-quality code. Extension of this study may help solidify this relationship while reinforcing the corollary of how negative emotions contribute to code quality and recommendations for how to situate programmers in these varying mental states.

Suggested Citation

  • Lisero Mugula & Rosemary Tufon & Yang Shi & Maria Valero & Adriane B. Randolph & Valentina Nino, 2024. "Investigating the Impact of Emotions on the Quality of Novice Programmers’ Code," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph & Gernot (ed.), Information Systems and Neuroscience, pages 67-78, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-58396-4_7
    DOI: 10.1007/978-3-031-58396-4_7
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