AI-assistance to decision-makers: evaluating usability, induced cognitive load, and trust's impact - IRT SystemX
Communication Dans Un Congrès Année : 2024

AI-assistance to decision-makers: evaluating usability, induced cognitive load, and trust's impact

Alexis Souchet
Kahina Amokrane-Ferka

Résumé

We designed a randomized-controlled study with 80 participants to investigate the effects of an AI assistant on the activity and processes implemented by users in their decision-making tasks. For that purpose, we will examine several aspects of decision-making in problem-solving situations in five experimental conditions resulting from the combination of the following factors: AI assistance (with vs. without), information related to the reliability of the assistant's proposals (yes vs no) and cognitive load induced variation through a dual task (with vs without). We plan to collect profile data, heart-rate variables, task efficiency and perceived usability, cognitive load, and trust. We are currently finalizing the prototype to conduct pre-tests.
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Dates et versions

hal-04751573 , version 1 (24-10-2024)

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Alexis Souchet, Kahina Amokrane-Ferka, Jean-Marie Burkhardt. AI-assistance to decision-makers: evaluating usability, induced cognitive load, and trust's impact. European Conference on Cognitive Ergonomics (ECCE), Oct 2024, Paris, France. ⟨10.1145/3673805.3673845⟩. ⟨hal-04751573⟩
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