gms | German Medical Science

62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS)

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie

17.09. - 21.09.2017, Oldenburg

A Javascript-based Gambling Tool Device for Decision-Making Tasks in Psychological Research

Meeting Abstract

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  • Sherine Franckenstein - Department of Psychology and Psychotherapy, Witten/Herdecke University, Witten, Deutschland
  • Agis Wichert
  • Thomas Ostermann - Universität Witten/Herdecke, Witten, Deutschland

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS). Oldenburg, 17.-21.09.2017. Düsseldorf: German Medical Science GMS Publishing House; 2017. DocAbstr. 059

doi: 10.3205/17gmds174, urn:nbn:de:0183-17gmds1743

Veröffentlicht: 29. August 2017

© 2017 Franckenstein et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe



Introduction: Decision making is one of the most complex tasks in human behavior [1]. In the past, researchers have tried to understand how humans make decisions and designed neuropsychological tests to assess reward related decision making by evaluating the preference for smaller but immediate rewards over larger but delayed rewards or by evaluating the tolerance of risk in favor of a desired reward [2]. The latter are also known as gambling tasks. Various types of those gambling tasks have been used for experimental situations to investigate decision-making under ambiguous conditions [3]. The most commonly known gambling tasks are the Iowa Gambling Task (IGT), the Balloon Analogue Risk Task (BART), and the the game of dice task.

Methods: We developed a new version of the Game of Dice task to investigate decision making with negative Feedback. For this reason, we designed a program based on JavaScript in which the participants are exposed with negative feedback in all bets and thus, lose their virtual capital. The software can be freely configured to deliver random results as well as always losses for the player.

Results: Our program records all moves of the players. Firstly, it documents some standard information like the day, time or reaction time of a player. Additionally, it records which bet options are chosen by each player and if they prefer special opportunities. Moreover, information is presented if the bet was performed correctly and if the subjects won the bet. Furthermore, we gather the experimental conditions (“fake condition“) which means that all the bets in the experimental conditions lose.

Discussion: Computerized versions of gambling tasks are useful, as they allow for the task to be used in more complex experimental and online settings and can make the task more standardized across studies [4]. However, only a few platform independent versions of such tasks are freely available. Thus, with our approach accessibility and availability for various populations are enhanced.

Die Autoren geben an, dass kein Interessenkonflikt besteht.

Die Autoren geben an, dass kein Ethikvotum erforderlich ist.


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