Applying the SEEV Model to Assess Where People Will Look: Practical Considerations

Author:

Green Paul1ORCID

Affiliation:

1. University of Michigan, Ann Arbor, MI, USA

Abstract

For safety-critical tasks, such as landing an airplane and driving through an intersection, operators must find critical information quickly, which depends upon where they are likely to look, specifically dwell percentages. These values can be estimated using the SEEV computational model which includes four primary factors: Salience, Effort, Expectancy, and Value. To assist the practitioner developing interfaces for these and other tasks, this paper describes each factor in detail, provides example hand calculations, and identifies computational software for complex analyses (e.g., the Automation Design Advisor Tool, the Adaptive Information Expectancy Model, the Human Efficiency Evaluator, MIDAS, Automation Design Advisor Tool, and Eijssen’s SEEV model). Getting access to this software can be challenging.

Funder

Nissan North America

Publisher

SAGE Publications

Reference24 articles.

1. Anonymous. (2023). Improved performance research integration tool. Retrieved May 17, 2024, from https://en.wikipedia.org/wiki/Improved_Performance_Research_Integration_Tool

2. Revealing Differences in Designers’ and Users’ Perspectives

3. AM-DCT

4. A Computational Implementation of a Human Attention Guiding Mechanism in MIDAS v5

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