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The Role of User Control in Enhancing Human-AI Collaboration Effectiveness: Insights from a Pilot Study

In: Information Systems and Neuroscience

Author

Listed:
  • Burak Oz

    (HEC Montréal)

  • Alexander Karran

    (HEC Montréal)

  • Jared Boasen

    (HEC Montréal
    Hokkaido University)

  • Constantinos Coursaris

    (HEC Montréal)

  • Pierre-Majorique Léger

    (HEC Montréal)

Abstract

In this research program proposal, we aim to investigate why experts override AI suggestions and identify design principles for more effective human-AI teams. Specifically, we propose testing whether increasing the perceived locus of control of human decision-makers over AI functions will lead to fewer overrides and improved performance. We present a mixed-factorial, multi-trial experimental design in which participants receive AI recommendations regarding demand forecasting decisions in a business simulation. Prior to each trial, one group specifies how they want the AI to function (experimental), and the other group does not (control). We use electroencephalography and oculometry to capture attention to recommendations and user interface elements. Behavioral data from a preliminary pilot study with four participants align with our hypotheses. We observed that participants in the experimental condition applied smaller adjustments to AI suggestions and had higher decision performance than the control group. The experiment's results will contribute to our understanding of AI aversion and inform the design of human-AI interactions to improve performance.

Suggested Citation

  • Burak Oz & Alexander Karran & Jared Boasen & Constantinos Coursaris & Pierre-Majorique Léger, 2024. "The Role of User Control in Enhancing Human-AI Collaboration Effectiveness: Insights from a Pilot Study," 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 185-193, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-58396-4_15
    DOI: 10.1007/978-3-031-58396-4_15
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