Selective access to decision support as a function of event uncertainty

Yoav Ben-Yaakov, Jason McCarley, Joachim Meyer

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

The effective design of decision support systems requires an understanding of how system outputs affect users’ preferences and behavior. In an online experiment with 171 participants, we investigated how uncertainty influences users’ tendency to access additional information when using decision support (DS) with varying levels of reliability (high or low) that exhibit the same data in different ways. We compared preferences across three DS designs: binary independent output, likelihood independent output, and integrated likelihood output. We also examined the impact of DS displays and reliability on users’ performance and subjective trust. Users were more likely to seek additional information when presented with events incorporated with uncertain information. Moreover, the presentation of the information had a significant effect on performance and subjective trust.

Original languageEnglish
Pages (from-to)774
Number of pages1
JournalProceedings of the Human Factors and Ergonomics Society
Volume67
Issue number1
DOIs
StatePublished - 1 Jan 2023
Externally publishedYes
Event67th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2023 - Columbia, United States
Duration: 23 Oct 202327 Oct 2023

Keywords

  • Decision Making
  • Human Automation Interaction
  • Signal Detection Theory

ASJC Scopus subject areas

  • Human Factors and Ergonomics

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