Explainable Artificial Intelligence (XAI): How the Visualization of AI Predictions Affects User Cognitive Load and Confidence

Antoine Hudon (), Théophile Demazure, Alexander Karran, Pierre-Majorique Léger and Sylvain Sénécal
Additional contact information
Antoine Hudon: HEC Montréal
Théophile Demazure: HEC Montréal
Alexander Karran: HEC Montréal
Pierre-Majorique Léger: HEC Montréal
Sylvain Sénécal: HEC Montréal

A chapter in Information Systems and Neuroscience, 2021, pp 237-246 from Springer

Abstract: Abstract Explainable Artificial Intelligence (XAI) aims to bring transparency to AI systems by translating, simplifying, and visualizing its decisions. While society remains skeptical about AI systems, studies show that transparent and explainable AI systems result in improved confidence between humans and AI. We present preliminary results from a study designed to assess two presentation-order methods and three AI decision visualization attribution models to determine each visualization’s impact upon a user’s cognitive load and confidence in the system by asking participants to complete a visual decision-making task. The results show that both the presentation order and the morphological clarity impact cognitive load. Furthermore, a negative correlation was revealed between cognitive load and confidence in the AI system. Our findings have implications for future AI systems design, which may facilitate better collaboration between humans and AI.

Keywords: Explainable Artificial Intelligence; XAI; Cognitive load; Confidence in AI; Explanation; Visualization; Cognitive fit theory (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (2)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-88900-5_27

Ordering information: This item can be ordered from
http://www.springer.com/9783030889005

DOI: 10.1007/978-3-030-88900-5_27

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().