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327. Empirical studies for comparing interactive multiobjective optimization methods with human participants

Invited abstract in session MA-11: Choice behavior, stream Behavioural OR.

Monday, 8:30-10:00
Room: 12 (building: 116)

Authors (first author is the speaker)

1.	Giovanni Misitano
	P.O. Box 35, University of Jyväskylä
2.	Bekir Afsar
	University of Jyväskylä
3.	Johanna Silvennoinen
	University of Jyvaskyla
4.	Ana Belen Ruiz
	Applied Economics (Mathematics), University of Malaga
5.	Francisco Ruiz
	Applied Economics (Mathematics), University of Málaga
6.	Kaisa Miettinen
	Faculty of Information Technology, University of Jyväskyla

Abstract

Applying interactive multiobjective optimization (MOO) methods necessitates preference information from a decision maker (DM). Because of the active role of the DM, comparison of interactive methods must be planned carefully. Previous comparisons have been rare and irreproducible. We have developed a new, reproducible experimental design to compare interactive MOO methods with human participants. Our design utilizes a novel questionnaire, which can measure the cognitive load experienced by DMs, their satisfaction with the solution process and the solution finally obtained. We can also measure the methods’ ability to reflect preferences and responsiveness to changes in the preferences. Moreover, we have developed a web-based user interface to allow participants to access and utilize interactive methods, and to answer the questionnaire interactively. Our design enables a transparent and reproducible comparison of interactive MOO methods.

Keywords

• Multi-Objective Decision Making
• Decision Support Systems
• Behavioural OR

Status: accepted

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