Evidence map›Paper›PMID 37797048›Full record

ArticlePloS one2023

Cognitive modeling for understanding interactions between people and decision support tools in complex and uncertain environments: A study protocol.

Isaac Molina, Edmundo Molina-Perez, Fernanda Sobrino, Mario Tellez-Rojas, Luis Serra-Barragan, Alejandra Mitzi Castellón-Flores, Yessica Orozco, Adolfo de Unanue, Fatima Rojas-Iturria

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Isaac MolinaSchool of Government and Public Transformation, Tecnologico de Monterrey, Mexico City, México.ORCID 0000-0002-2080-0887
Edmundo Molina-PerezSchool of Government and Public Transformation, Tecnologico de Monterrey, Mexico City, México.ORCID 0000-0003-0774-3205
Fernanda SobrinoSchool of Government and Public Transformation, Tecnologico de Monterrey, Mexico City, México.
Mario Tellez-RojasFaculty of Higher Studies Iztacala, National Autonomous University of Mexico, Mexico City, Mexico.ORCID 0000-0002-0907-2428
Luis Serra-BarraganSchool of Government and Public Transformation, Tecnologico de Monterrey, Mexico City, México.
Alejandra Mitzi Castellón-FloresSchool of Government and Public Transformation, Tecnologico de Monterrey, Mexico City, México.
Yessica OrozcoSchool of Government and Public Transformation, Tecnologico de Monterrey, Mexico City, México.
Adolfo de UnanueSchool of Government and Public Transformation, Tecnologico de Monterrey, Mexico City, México.
Fatima Rojas-IturriaSchool of Government and Public Transformation, Tecnologico de Monterrey, Mexico City, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent advances in Computational Intelligence Tools and the escalating need for decision-making in the face of complex and uncertain phenomena like pandemics, climate change, and geopolitics necessitate understanding the interaction between these tools and human behavior. It is crucial to efficiently utilize the decision-makers cognitive resources in addressing specific problems.

methodsThe main goal of this present protocol is to describe the effect that CITs (Computational Intelligence Tools) have on decisions made during complex and uncertain situations. It is an exploratory study with a mixed methodology. Solomon's group experiment design includes a narrative analysis of cognitive features such as integrative complexity (IC), cognitive flexibility (CF), and fluid intelligence (FI). Additionally, measures of neural activity (NA), physiological measures (PM), and eye-tracking data (ET) will be collected during the experimental session to examine the marginal impact of these processes on decision outcomes (DO) and their relation to CIT capabilities. To achieve this objective, 120 undergraduate and graduate students involved in decision-making will participate as subjects. The approximate duration of the study will be 2 years. Strict adherence to the relevant ethical considerations will be maintained during the performance of the experimental tasks. DISCUSSION: The study will provide valuable information on CITs' effect on decision-making under complex and uncertain contexts. This will help to better understand the link between technology and human behavior, which has important implications. CIT designers can use future results and at the same time, it will be possible to understand cognitive, behavioral, physiological processes, and even the subjective assessment of individuals when they use technological tools to solve a problem.

Indexed as

Artificial IntelligenceCognitionHumansUncertainty

Identifiers

PMID37797048
PMCPMC10553798

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.