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Isolating and mitigating sequentially dependent perceptual errors in clinical visual search

Award Number: R01CA236793
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 04/17/2019
PERIOD OF PERFORMANCE END DATE: 03/31/2030

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Isolating and mitigating sequentially dependent perceptual errors in clinical visual search - Remote-store-and-forward teledermatology has grown exponentially in popularity as an efficient, accurate, and cost-effective way to improve the health and well-being of millions of patients around the world. In remote store- and-forward teledermatology, clinicians are asked to recognize and classify images of skin lesions and make visual judgments about lesion features and malignancy. Dermatologists performing screening in this paradigm can examine hundreds of images, seeing them one after the other. A central underlying assumption of this task is that dermatologists’ percepts and decisions about a current image are completely independent of prior events. Recent results show that this is not true: our perception and decisions are strongly biased by our past visual experience. Although serial dependencies were proposed to be a purposeful mechanism to achieve perceptual stability in natural vision, serial dependencies in remote store-and-forward teledermatology could play a crucial and deleterious role in cancer screening. For example, a malignant lesion could be classified as benign depending on the content of the previously seen image. Given the importance and impact of serial dependencies in dermatological settings, we plan to (1) establish, (2) identify, and (3) mitigate the conditions under which serial effects determine percepts and decisions in a remote store-and-forward teledermatology setting. In Aim 1, based on preliminary and pilot data that indicate a clear detrimental role of serial dependencies in clinical visual judgments, we plan to test the full impact of serial dependencies on lesion recognition, including four common tasks: malignancy classification, lesion symmetry perception, lesion homogeneity perception, and lesion border discrimination. In Aim 2, we plan to identify the specific boundary conditions under which visual serial dependence impacts visual recognition in store-and-forward teledermatology. In Aim 3, we will use the boundary conditions identified in Aim 2 to propose a series of task and stimulus manipulations to mitigate the deleterious effects of visual serial dependence on lesion recognition. As a result of these manipulations, performance should improve in measurable ways (including sensitivity, specificity, accuracy, and d’). Aim 3 is particularly crucial because it will allow us to propose new guidelines that will greatly improve lesion recognition in remote store- and-forward teledermatology screening. Taken together, the proposed studies in Aim 1, 2, and 3 will allow us to establish, identify, and mitigate the deleterious effect of serial dependencies in remote store-and-forward teledermatology tasks, which could have a significant impact on the health and well-being of skin cancer patients around the world.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $357,366 )
2026	2026	REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE	119 CALIFORNIA HALL	BERKELEY	CA	94720	ALAMEDA	USA	Cancer Cause and Prevention Research	000	7	4/2/2026	NON-COMPETING CONTINUATION	$357,366
														Subtotal = $357,366

Issue Date FY: 2025 ( Subtotal = $357,366 )
2025	2025	REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE	1608 4TH ST STE 201	BERKELEY	CA	94710	ALAMEDA	USA	Cancer Cause and Prevention Research	000	6	3/26/2025	COMPETING CONTINUATION	$357,366
2025	2023	REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE	1608 4TH ST STE 201	BERKELEY	CA	94710	ALAMEDA	USA	Cancer Cause and Prevention Research	001	5	7/2/2025	NON-COMPETING CONTINUATION	$0
														Subtotal = $357,366

Issue Date FY: 2023 ( Subtotal = $304,607 )
2023	2023	REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE	1608 4TH ST STE 201	BERKELEY	CA	94710	ALAMEDA	USA	Cancer Cause and Prevention Research	000	5	5/8/2023	NON-COMPETING CONTINUATION	$304,607
														Subtotal = $304,607

Issue Date FY: 2022 ( Subtotal = $305,184 )
2022	2022	REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE	1608 4TH ST STE 201	BERKELEY	CA	94710	ALAMEDA	USA	Cancer Cause and Prevention Research	000	4	3/31/2022	NON-COMPETING CONTINUATION	$305,184
														Subtotal = $305,184

Issue Date FY: 2021 ( Subtotal = $311,975 )
2021	2021	REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE	1608 4TH ST STE 220	BERKELEY	CA	94710	ALAMEDA	USA	Cancer Cause and Prevention Research	000	3	4/2/2021	NON-COMPETING CONTINUATION	$311,975
														Subtotal = $311,975

Issue Date FY: 2020 ( Subtotal = $312,511 )
2020	2020	REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE	1608 4TH ST STE 220	BERKELEY	CA	94710	ALAMEDA	USA	Cancer Cause and Prevention Research	000	2	4/3/2020	NON-COMPETING CONTINUATION	$312,511
														Subtotal = $312,511

Issue Date FY: 2019 ( Subtotal = $313,021 )
2019	2019	REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE	1608 4TH ST STE 220	BERKELEY	CA	94710	ALAMEDA	USA	Cancer Cause and Prevention Research	000	1	4/17/2019	NEW	$313,021
														Subtotal = $313,021

Grand Total All Awards = $2,262,030

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Isolating and mitigating sequentially dependent perceptual errors in clinical visual search

Award Number: R01CA236793

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 04/17/2019

PERIOD OF PERFORMANCE END DATE: 03/31/2030

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