scholarly journals Data-enabled cognitive modeling: Validating student engineers’ fuzzy design-based decision-making in a virtual design problem

2017 ◽  
Vol 25 (6) ◽  
pp. 1001-1017 ◽  
Author(s):  
Golnaz Arastoopour Irgens ◽  
Naomi C. Chesler ◽  
Jeffrey T. Linderoth ◽  
David Williamson Shaffer
2020 ◽  
Author(s):  
LaTasha R Holden ◽  
Michelle LaMar ◽  
Malcolm Bauer

The goal of the present work is to build a foundation for understanding cognition and decision-making processes in innovative assessment contexts. Specifically, we will assess students’ Cross-Cultural Competence (3C: see Thomas et al., 2008) through a social simulation game. The present work will use Mindset (i.e., individuals beliefs about whether ability is fixed or changeable, see Dweck, 2006) to ground the project in theory because it has been shown to be a powerful motivator for decision-making and behavior in learning and achievement (Dweck & Leggett; 1988; Dweck, 1999), and in cross-cultural contexts (Dweck, 2012). The novel contribution of this paper is to apply Mindset theory to social situations requiring 3C, thus proposing the notion of cultural mindsets—defined here as the set of beliefs including affect, cognition, and behavior people bring to cross-cultural contexts. In cultural mindset, affect and cognition govern the ease with which people adapt, learn, and update cultural information. Additionally, we argue that cultural mindsets are important mechanisms involved in navigating cross-cultural situations effectively and should be considered more in future research. In order to understand how cultural mindset affects student performance, we will apply a computational cognitive modeling approach using Markov decision process (MDP) models. The MDP approach is appropriate for sequential decision-making in non-deterministic environments—as actions are chosen as part of a plan to achieve goals with the knowledge that some action effects will be probabilistic.


2008 ◽  
Vol 161 (2) ◽  
pp. 142-152 ◽  
Author(s):  
Eldad Yechiam ◽  
Elizabeth P. Hayden ◽  
Misty Bodkins ◽  
Brian F. O'Donnell ◽  
William P. Hetrick

2021 ◽  
Author(s):  
Sara D McMullin ◽  
Courtney Motschman ◽  
Laura Hatz ◽  
Denis McCarthy ◽  
Clintin Davis-Stober ◽  
...  

Objective: Approximately 28 million individuals engage in alcohol-impaired driving (AID) every year. This study investigated individuals’ AID decision making strategies under intoxication, their variability across the breath alcohol concentration curve (BrAC), and the association between strategy and AID attitudes and intentions. Method: 79 adults (23.9 years, 57% women) who drank alcohol ≥2 days per week and lived >2 miles away from their typical drinking locations completed an alcohol administration protocol and AID decision making task. AID attitudes, intentions, and behaviors were assessed repeatedly across the BrAC curve. Bayesian cognitive modeling identified decision strategies used by individuals on the AID decision making task, revealing whether alcohol consumption level and/or ride service cost factored into individuals’ decisions to drive while impaired or obtain a ride. Additional analyses tested whether AID attitudes and intentions were related to individuals’ decision strategies. Results: Two decision strategies were examined on the ascending and descending limb of the BrAC curve: compensatory (both consumption level and ride service cost factored into AID decisions) and non-compensatory (only consumption level factored into AID decisions). Switching to a compensatory strategy on the descending limb was associated with lower perceived intoxication, perceiving AID as less dangerous, and being willing to drive above the legal BrAC limit. Conclusions: Results suggest that risk for engaging in AID is higher for those using a cost-sensitive, compensatory strategy when making AID decisions under intoxication. Future research is needed to test whether AID countermeasures (e.g., subsidized ride services) are differentially effective according to decision strategy type.


2019 ◽  
Vol 109 ◽  
pp. 545-549 ◽  
Author(s):  
Inga Deimen ◽  
DezsÖ Szalay

We study a constrained information design problem in an organization. A designer chooses the information structure. A sender with preferences different from the decision-maker observes and processes the information before he communicates with the decision-maker. Information shapes conflicts within the organization: the optimal information structure essentially eliminates conflicts and serves as a substitute to the allocation of decision-making authority in the organization.


Author(s):  
David W. Rosen ◽  
Bert Bras ◽  
Farrokh Mistree ◽  
Ashok Goel

Abstract Virtual prototyping is the replacement of hardware prototypes by computational prototypes of systems and the processes that they may undergo. The particular domain of investigation is product demanufacture and service. By catching downstream problems early in the design process through the use of virtual prototypes, more environmentally friendly and easily serviceable products should result. The approach to virtual prototyping pursued here is to combine simulation and human interaction with virtual environment technologies, resulting in a Virtual Design Studio. In the Studio, people will simulate demanufacturing and servicing processes on product models, then incorporate the simulation results into design decision making. The Studio will operate on a design studio metaphor, analogous to the desk-top metaphor utilized in Macintosh computers. This paper represents work in progress. The research program undertaken to construct such a Studio is reported and motivated, an initial design studio metaphor is articulated, and current progress is summarized.


10.12737/6289 ◽  
2014 ◽  
Vol 4 (3) ◽  
pp. 205-212 ◽  
Author(s):  
Мешков ◽  
Dmitriy Meshkov ◽  
Стариков ◽  
Aleksandr Starikov

We consider the logical structure of the technological design process (TDP) running in multi-agent medium of virtual design office of furniture (DOF) provided by a set of design procedures, each of which, in its turn, includes a number of project activities related to each other. There is formalized presentation of TDP as Metagraphy. Such formalized presentation provides opportunities to simplify the process control with dynamic structure and allow enterprises to obtain required level of detail of their structure when modeling a particular design problem.


Author(s):  
Wayne W. Zachary ◽  
Allen L. Zaklad ◽  
James H. Hicinbothom ◽  
Joan M. Ryder ◽  
Janine A. Purcell

Human tactical decision making in Naval Anti-Air Warfare (AAW) is time-critical and is performed in a multiple-task, team-based environment. These aspects make this domain extremely challenging for traditional cognitive modeling techniques. The COGNET ((COGnition as a NEtwork of Tasks) framework, however, is inherently designed for real-time, multi-tasking work, and, with extensions to accommodate team decision processes, proved suitable for modeling AAW decision making in the Navy's Tactical Decision Making Under Stress (TADMUS) program. A COGNET model of AAW domain expertise is described, along with Decision-Support System (DSS) design principles derived from the COGNET AAW model and the underlying COGNET framework.


Author(s):  
Laurel Allender ◽  
Troy Kelley ◽  
John Lockett ◽  
Sue Archer

The history of human performance modeling (HPM) in the U.S. Army is described, the early influences and technological events that made it possible. Highlights of significant milestones are presented, including HPM efforts that were influential in influencing the U.S. Army's modeling practices and in changing system design. The latest challenges in cognitive modeling, advanced decision making, stressors, and the particular challenges of distributed and linked simulations are discussed as well as the prospect of using methods from neuroscience for validation of cognitive models.


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