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Iglesias-Parro, Sergio; Fuente, Emilia I. de la; Ortega, Almudena

doi:10.1023/a:1015568206548

Cited by 5 publications

References 34 publications

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An Optimized Design of Choice Experiments: A New Approach for Studying Decision Behavior in Choice Task Experiments

Pfeiffer

Duzevik²,

Rothlauf

et al. 2014

Behavioral Decision Making

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In this paper, we present a new approach for the optimal experimental design problem of generating diagnostic choice tasks, where the respondent's decision strategy can be unambiguously deduced from the observed choice. In this new approach, we applied a genetic algorithm that creates a one‐to‐one correspondence between a set of predefined decision strategies and the alternatives of the choice task; it also manipulates the characteristics of the choice tasks. In addition, this new approach takes into account the measurement errors that can occur when the preferences of the decision makers are being measured. The proposed genetic algorithm is capable of generating diagnostic choice tasks even when the search space of possible choice tasks is very large. As proof‐of‐concept, we used this novel approach to generate respondent‐specific choice tasks with either low or high context‐based complexity that we operationalize by the similarity of alternatives and the conflict between alternatives. We find in an experiment that an increase in the similarity of the alternatives and an increase in the number of conflicts within the choice task lead to an increased use of non‐compensatory strategies and a decreased use of compensatory decision strategies. In contrast, the size of the choice tasks, measured by the number of attributes and alternatives, only weakly influences the strategy selection. Copyright © 2014 John Wiley & Sons, Ltd.

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An Optimized Design of Choice Experiments: A New Approach for Studying Decision Behavior in Choice Task Experiments

Pfeiffer

Duzevik²,

Rothlauf

et al. 2014

Behavioral Decision Making

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Adapting Human-Computer-Interaction of Attentive Smart Glasses to the Trade-Off Conflict in Purchase Decisions: An Experiment in a Virtual Supermarket

Pfeiffer

Greif-Winzrieth

et al. 2017

Lecture Notes in Computer Science

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Recent Progress on Endogeneity in Choice Modeling

et al. 2005

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Abstract:We describe recent progress in several areas related to endogeneity, including: choice set formation and attention to attributes; interactions among decision-makers; respondents' strategic behavior in answering stated preference choices; models of multiple discrete/continuous choice; distributions of willingness-to-pay; and methods for handling traditionally endogenous explanatory variables.

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Untitled

Cited by 5 publications

References 34 publications

An Optimized Design of Choice Experiments: A New Approach for Studying Decision Behavior in Choice Task Experiments

An Optimized Design of Choice Experiments: A New Approach for Studying Decision Behavior in Choice Task Experiments

Adapting Human-Computer-Interaction of Attentive Smart Glasses to the Trade-Off Conflict in Purchase Decisions: An Experiment in a Virtual Supermarket

Recent Progress on Endogeneity in Choice Modeling

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