Social Iowa Gambling Task - S-IGT

(script code is based on Inquisit's socialiowagamblingtask.iqjs)

Last Modified: January 07, 2025 by K. Borchert (katjab@millisecond.com), Millisecond

Script Copyright © Millisecond Software, LLC

Background

This script implements the Social Iowa Gambling Task (SIGT). The SIGT task assesses risk learning in a social context by utilizing rewards and punishment in an uncertain simulated decision game with decks of cards, that use face images that differ in trustworthiness to represent the different decks of cards.

The implemented procedure is based on:

References

Sigt

Igt

Bechara A., Damasio A. R., Damasio H., Anderson S. W. (1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition, 50, 7-15 .

Duration

5 minutes

Description

Participant are presented 4 decks of cards (each card is represented by a face image) and are asked to select a card from one of the 4 decks with their mouse. By turning over the cards, participants can win money but also lose money. The four different decks can be categorized as advantageous (overall more wins than losses) or disadvantageous (overall more losses than wins).

The default SIGT played by this script is the CSIGT = congruent SIGT, in which the disadvantageous decks are paired with images of low trustworthiness. Check section Editable Stimuli to change the deck-face assignments.

Procedure

• The game is set up to play 1 block of 100 trials
• The four decks are assigned a (permanent) screen location by groupnumber (4 different groups).
regardless of actual screen presentation:
deck1/deck2 = disadvantageous
deck3/deck4 = advantageous

to play with the 'classic' sigt presentation order (disadvantagous cards on the left/ advantageous cards on the right),
use groupnumber 1 only (Perez et al, 20xx)

• By default, each deck contains 40 cards and the cards are selected in sequence.
Once a deck runs out of cards, the deck is reset (but not reshuffled!).
The raw data file tracks the number of unselected cards in each deck.
Once the number reaches 0, the participant plays with a repeat deck.

• the decks are represented by face images of 4 caucasian males (see STIMULI for more information).
Note that the provided stimuli are to be considered PLACEHOLDER stimuli only.

• the default type of SIGT played by this script is the CSIGT = congruent SIGT;
which means that the disadvantageous decks are paired with the lesser trustworthy face images.
To change the type of SIGT played, go to section EDITABLE STIMULI and follow instructions

Stimuli

Face Stimuli:

(1) Perez et al used stimuli from the FACES database (Ebner et al., 2010).
Contact the authors for the stimuli used.

(2) The 4 face stimuli used for the card decks in this script should be considered PLACEHOLDERS ONLY.
They were selected from the The One Million Impressions (OMI) face database (Peterson et al, 2022).

The One Million Impressions (OMI) face dataset is a dataest of both synthetic human face stimuli and
corresponding attribute ratings from a large-scale behavioral experiment corresponding to the
following publication:

Peterson, J. C., Uddenberg, S., Griffiths, T., Todorov, A., & Suchow,
J. W. (2022). Deep models of superficial face judgments. Proceedings
of the National Academy of Sciences (PNAS).

Data Availability: The One Million Impressions dataset and all behavioral
judgments and synthesized images have been deposited in a [publicly-available] GitHub repository:
https://github.com/jcpeterson/omi.

For more information, check section Editable Stimuli

Instructions

provided by Millisecond - can be edited under section Editable Instructions

Summary Data

File Name: iowagamblingtask_summary*.iqdat

Data Fields

Raw Data

File Name: iowagamblingtask_raw*.iqdat

Data Fields

Parameters

The procedure can be adjusted by setting the following parameters.