Choice adaptation to changing environments: trends, feedback, and observability of change

McCormick, Erin; Cheyette, Samuel J.; González, Cleotilde

doi:10.3758/s13421-022-01313-2

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…However, routines might be maladaptive if the environment changes (Bröder & Schiffer, 2006). In dynamic situations, it might be helpful to not over-rely on past decisions (McCormick et al, 2022;Rakow & Miler, 2009). The task-change paradigm enables one to study initial experiences' stickiness in dynamic environments.…”

Section: Adaptive Performancementioning

confidence: 99%

The importance of change communication and state motivation when adapting to changes

Stasielowicz¹

2023

Preprint

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Employees often work in dynamic environments requiring adaptive performance, including dealing with emergencies, adjusting to team size modifications, or working with clients from other cultures. Hitherto, researchers have focused on trait-like predictors of adaption to change, such as Big Five personality traits, cognitive ability, or goal orientation. However, more proximal predictors of the adaption process were largely ignored. To help close this research gap, the present study examines the role of change communication and task-related state motivation. Latent growth modeling (N = 300) was used to model adaptive performance on a task and examine the two predictors' roles. Providing two change-related hints (at the beginning of the task and directly after the change) led to smaller performance impairment directly after the change. Furthermore, the improvement rate in the later stages was similar to that of the control group (no change communication). Thus, change communication advantages could be maintained. In contrast, there was no substantial evidence that a single hint at the beginning of the task facilitates adaption. In a further analysis, task-related state motivation, which was measured three times during the task, was linked to better performance on the subsequent measurement occasion. Furthermore, preliminary evidence was found that change communication might help maintain motivation. Overall, the findings confirm that examining proximal predictors of the adaption process can be fruitful. Furthermore, the results can be used by organizations that wish to minimize change-induced losses by deploying adequate change communication and maintaining employees’ motivation.

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Section: Adaptive Performancementioning

confidence: 99%

The importance of change communication and state motivation when adapting to changes

Stasielowicz¹

2023

Preprint

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“…We have also found that people explore longer when they encounter a prospect of loss and when they experience stochastic rather than consistent environments (Lejarraga et al., 2012; Mehlhorn, Ben‐Asher, Dutt, & Gonzalez, 2014). Furthermore, in changing dynamic tasks, we find that the direction of change of the value of the options determines how people adapt their decisions over time (Cheyette, Konstantinidis, Harman, & Gonzalez, 2016; Lejarraga, Lejarraga, & Gonzalez, 2014)—for example, when good alternatives become worse over time, people are more capable of adapting their choices to these changing conditions compared to when initially bad alternatives become better over time (Konstantinidis, Harman, & Gonzalez, 2021; McCormick, Cheyette, & Gonzalez, 2021).…”

Section: From Complex To Simple Tasks and Transparency Of Ibl Modelsmentioning

confidence: 99%

Learning and Dynamic Decision Making

González

2021

Topics in Cognitive Science

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Humans make decisions in dynamic environments (increasingly complex, highly uncertain, and changing situations) by searching for potential alternatives sequentially over time, to determine the best option at a precise moment. Surprisingly, the field of behavioral decision making has little to offer in terms of theoretical principles and practical guidelines on how people make decisions in dynamic situations. My research program aims to fill in this gap by developing theoretical understandings of decision processes as well as practical demonstrations of how these theoretical developments can improve human dynamic decision making. Throughout my research career, I have helped create, test, and improve a general theory of dynamic decision making, instance-based learning theory, IBLT. The methods I have used to contribute to IBLT are (1) laboratory experiments that rely on dynamic games in which humans make choices over time and space, individually and in teams, and from which we extrapolate robust phenomena and behavioral insights; and (2) computational, actionable cognitive models, which specify the decision-making process and the cognitive mechanisms involved into a computational algorithm. The combination of these methods spawned novel applications in areas such as cybersecurity, phishing, climate change, and human-machine interactions. In this paper, I will take you through my own intellectual exploratory experience of computational modeling of human decision processes, and how the integration of experimental work and cognitive modeling helped in discovering and uncovering the field of dynamic decision making.

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Learning to Defend by Attacking (and Vice-Versa): Transfer of Learning in Cybersecurity Games

Malloy,

Gonzalez

2023

2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)

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Choice adaptation to changing environments: trends, feedback, and observability of change

Cited by 5 publications

References 18 publications

The importance of change communication and state motivation when adapting to changes

The importance of change communication and state motivation when adapting to changes

Learning and Dynamic Decision Making

Learning to Defend by Attacking (and Vice-Versa): Transfer of Learning in Cybersecurity Games

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