Introduction: While many everyday choices are between multi-attribute options, how attribute values are integrated to allow such choices remains unclear. Recent findings suggest a distinction between elemental (attribute-by-attribute) and configural (holistic) evaluation of multi-attribute options, with different neural substrates. Here, we asked if there are behavioral or gaze pattern differences between these putatively distinct modes of multi-attribute decision-making.
Methods: Thirty-nine healthy men and women learned the monetary values of novel multi-attribute pseudo-objects (fribbles) and then made choices between pairs of these objects while eye movements were tracked. Value was associated with individual attributes in the elemental condition, and with unique combinations of attributes in the configural condition. Choice, reaction time, gaze fixation time on options and individual attributes, and within- and between-option gaze transitions were recorded.
Results: There were systematic behavioral differences between elemental and configural conditions. Elemental trials had longer reaction times and more between-option transitions, while configural trials had more within-option transitions. The effect of last fixation on choice was more pronounced in the configural condition.
Discussion: We observed differences in gaze patterns and the influence of last fixation location on choice in multi-attribute value-based choices depending on how value is associated with those attributes. This adds support for the claim that multi-attribute option values may emerge either elementally or holistically, reminiscent of similar distinctions in multi-attribute object recognition. This may be important to consider in neuroeconomics research that involve visually-presented complex objects.
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http://dx.doi.org/10.3389/fnins.2023.1167095 | DOI Listing |
Alzheimers Dement (N Y)
November 2024
Department of Neurology Biologic Sciences Division, Healthy Aging and Alzheimer's Research Care Center University of Chicago Chicago Illinois USA.
Introduction: Measurements of health-related quality of life (HRQoL) are important for capturing disease impact beyond physical health and relative to other diseases but have rarely been assessed in primary progressive aphasia (PPA).
Methods: HRQoL was characterized overall, by sex and subtype in PPA ( = 118) using the Health Utilities Index-2/3 (HUI2/3). Multiple linear regression assessed associations between HRQoL and language severity.
BMC Health Serv Res
January 2025
College of Health and Medicine, Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool Street, Hobart, TAS, Australia.
Objective: To evaluate the impact of absolute cardiovascular risk counselling on quality-of-life indices within a chest pain clinic.
Data Sources And Study Setting: Primary data was collected at the Royal Hobart Hospital, Australia, between 2014 and 2020.
Study Design: Patients attending an Australian chest pain clinic were randomised into a prospective, open-label, blinded-endpoint study over a minimum 12-months follow-up.
Front Neuroergon
December 2024
Goldbelt Frontier, LLC, Alexandria, VA, United States.
The U.S. Army Aeromedical Research Laboratory (USAARL) Multi-Attribute Task Battery (MATB) represents a significant advancement in research platforms for human performance assessment and automation studies.
View Article and Find Full Text PDFSci Rep
December 2024
Faculty of Science and Technology, University of the Faroe Islands, Vestara Bryggja 15, Torshavn, Faroe Islands, FO 100, Denmark.
Air quality is a major concern for human health, with pollutants linked to respiratory problems and chronic illnesses. Air quality monitoring systems are essential for measuring and tracking pollutants in indoor and outdoor environments. In the various disciplines of fuzzy environments, the aggregation operators are indispensable components of the decision-making process and possess a significant capacity to manage unpredictable and ambiguous data.
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December 2024
State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu, 610065, China.
Addressing the need to harmonize environment conservation and sustainable economic development within the Yellow River Basin (YRB) requires a profound comprehension of the spatiotemporal dynamics of urban ecosystem resilience. This study developed an index system utilizing the resistance-adaptability-recovery framework to measure these dynamics. By applying the advanced multi-attribute boundary area comparison method and a spatial autocorrelation model, we investigated the spatiotemporal variations and spatial correlation patterns of urban ecological resilience across the YRB.
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