NCT04332783

Isolating and Mitigating Sequentially Dependent Perceptual Errors in Clinical Visual Search

Recruiting now NA Last updated 3 February 2026

What this trial tests

NA trial testing psychophysics of sequential biases (no drug or patient work) in Vision in 10,120 participants. Currently enrolling.

Timeline

1 April 2019

Primary endpoint
30 June 2031

30 October 2032

Quick facts

Lead sponsor	University of California, Berkeley
Phase	NA
Status	Recruiting now
Study type	INTERVENTIONAL
Allocation	randomized
Design	single group
Masking	double
Primary purpose	basic science
Enrollment	10,120
Start date	1 April 2019
Primary completion	30 June 2031
Estimated completion	30 October 2032
Sites	1 location across United States

Drugs / interventions tested

• psychophysics of sequential biases (no drug or patient work)

Conditions studied

• Vision — all drugs for Vision →

Sponsor

University of California, Berkeley

Who can join

18 and older, any sex, with Vision. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Remote-store-and-forward teledermatology has recently grown exponentially in popularity and use as an efficient, accurate, and cost-effective way to improve the health and well-being of countless patients. Despite advances in machine learning and computer vision, the screening and reading of dermatological images still depends on the visual system of human observers (e.g., clinicians), who receive extensive training to best recognize lesions and anomalies. In remote store-and-forward teledermatology settings, clinicians may examine hundreds of images on a daily basis, seeing several images one after the other. A main underlying assumption of their work is that clinician percepts and decisions about a current image are completely independent from prior viewings. However, we and other groups demonstrated that the visual system has visual serial dependencies (VSDs) at many levels, from perception to decision making, including in clinical tasks. These sequential dependencies, replicated hundreds of times in the literature, mean that what was seen in the past influences (and captures) what is seen and reported at this moment. Theoretically, VSDs are helpful in an autocorrelated natural world, but they are suboptimal in visual tasks conducted in artificial situations where images are not always related. Importantly, serial dependencies in perceptual processing could thus produce significant errors during diagnostic judgments of dermatological images. Our central hypothesis is that VSD can have a disruptive effect in asynchronous remote-store-and-forward teledermatology judgments that impairs accurate detection and recognition of lesions. This hypothesis is supported by our robust pilot data, which show that VSD strongly biases lesion classification in both untrained observers and expert clinicians. The rationale for the proposed research projects is that once it is known how serial dependence arises and how it impacts judgments, we can understand how to control for it. Hence, accuracy of lesion detection and diagnosis can significantly improve. The specific objectives of this proposal are to establish (Aim 1), identify (Aim 2) and mitigate (Aim 3) the impact of VSD on remote-store-and-forward dermatological judgments.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.