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Ironic efficiency in automation-aided signal detection.

Megan L Bartlett¹, Jason S McCarley²

¹College of Education, Psychology and Social Work, Flinders University, Adelaide, Australia.

|August 14, 2020

Summary

Automated decision aids can hinder performance, even when highly reliable. Operators using aids in signal detection tasks were less efficient with reliable aids than with less reliable ones, contrary to expectations.

Keywords:

Human-automation interaction decision making-strategies efficiency reliability signal detection theory

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Area of Science:

Human Factors
Cognitive Psychology
Decision Science

Background:

Automated decision aids often yield suboptimal performance.
Previous research indicates users underutilize aid information, falling short of ideal sensitivity.

Purpose of the Study:

To investigate how varying aid reliability affects user performance in signal detection tasks.
To understand the generalizability of suboptimal aid usage across different reliability levels.

Main Methods:

Participants performed a binary signal detection task.
Aid reliability was manipulated across three levels: 60%, 85%, and 96%.

Main Results:

Highly reliable aids (85%, 96%) improved discrimination, but low-reliability aids (60%) did not.
Operator efficiency decreased with increasing aid reliability, becoming highly inefficient with the most reliable aid.

Conclusions:

Decision-makers' tendency to down-weight unreliable cues becomes counterproductive with highly reliable aids.
Operator performance and efficiency are paradoxically worse with highly reliable automation compared to less reliable automation.