___________________________________________________________________________________________________________________ BeanFest ___________________________________________________________________________________________________________________ last updated: 02-17-2022 by K. Borchert (katjab@millisecond.com) for Millisecond Software, LLC Script Copyright © 02-17-2022 Millisecond Software ___________________________________________________________________________________________________________________ BACKGROUND INFO ___________________________________________________________________________________________________________________ The script implements the 'Bean Fest Paradigm' developed by Fazio et al (2004) to study attitude formation and subsequent generalization. Reference: Fazio, R. H., Eiser, J. R., & Shook, N. J. (2004). Attitude formation through exploration: Valence asymmetries. Journal of Personality and Social Psychology, 87, 293-311. ___________________________________________________________________________________________________________________ TASK DESCRIPTION ___________________________________________________________________________________________________________________ Participants are presented beans of various oval shapes with various speckles and they have to learn which of these beans to choose to gain points and which of these beans to reject to avoid the loss of points. Participants either accept or reject a bean using 2 keys on the keyboard. A test phase presents familiar and novel beans. This script uses points and full feedback. Participants start with 100 points and gain or lose 10 points with each bean. There is no time penalty. Each of these parameters can be easily modified. ___________________________________________________________________________________________________________________ DURATION ___________________________________________________________________________________________________________________ the default set-up of the script takes appr. 20 minutes to complete ___________________________________________________________________________________________________________________ DATA FILE INFORMATION ___________________________________________________________________________________________________________________ The default data stored in the data files are: (1) Raw data file: 'beanfest_raw*.iqdat' (a separate file for each participant) build: The specific Inquisit version used (the 'build') that was run computer.platform: the platform the script was run on (win/mac/ios/android) date, time: date and time script was run subject, group, with the current subject/groupnumber session: with the current session id blockcode, blocknum: the name and number of the current block (built-in Inquisit variable) trialcode, trialnum: the name and number of the currently recorded trial (built-in Inquisit variable) Note: trialnum is a built-in Inquisit variable; it counts all trials run; even those that do not store data to the data file such as feedback trials. Thus, trialnum may not reflect the number of main trials run per block. response: the participant's response (scancode of response buttons) 32 = D; 37 = K; latency: the response latency (in ms); measured from: onset of picture totalpoints: stores the total points currentbean: stores the current bean image values.currentbeanvalue: assigns the current beanvalue according to group (2) Summary data file: 'beanfest_summary*.iqdat' (a separate file for each participant) inquisit.version: Inquisit version run computer.platform: the platform the script was run on (win/mac/ios/android) startDate: date script was run startTime: time script was started subjectid: assigned subject id number groupid: assigned group id number sessionid: assigned session id number elapsedTime: time it took to run script (in ms); measured from onset to offset of script completed: 0 = script was not completed (prematurely aborted); 1 = script was completed (all conditions run) totalpoints: stores the total points earned (Note: in the default set up no total points are earned/lost during test block) ___________________________________________________________________________________________________________________ EXPERIMENTAL SET-UP ___________________________________________________________________________________________________________________ Beans vary along 2 dimensions: 1. circular -> oval (in 10 steps) 2. number of speckles: 1-10 => 100 possible combinations => 6 regions with 5-7 beans (36 beans total) are selected for the Learning Phase (Fazio et al, 2004, p.295). => 3 regions add points; 3 regions subtract points (if chosen) !!!NOTE: by using groupids '1' and '2', the regions are counterbalanced (I) Learning Phase: A. Practice: 6 trials; one bean randomly selected from each of the 6 regions B. 1. Learningblock: The first 12 trials present 2 beans from each region. The remaining 24 trials present the remaining beans in a random order C. 2. Learningblock: all 36 beans presented in random order (block is repeated as many times as specified by parameters.maxlearningtrials) (II) Test Phase (in this script): 100 trials: tests all learning beans and new beans (=remaining beans) ___________________________________________________________________________________________________________________ STIMULI ___________________________________________________________________________________________________________________ 100 beans that vary along the dimensions circular shape and number of speckles (see under EDITABLE STIMULI) ___________________________________________________________________________________________________________________ INSTRUCTIONS ___________________________________________________________________________________________________________________ see under EDITABLE INSTRUCTIONS ___________________________________________________________________________________________________________________ EDITABLE CODE ___________________________________________________________________________________________________________________ check below for (relatively) easily editable parameters, stimuli, instructions etc. Keep in mind that you can use this script as a template and therefore always "mess" with the entire code to further customize your experiment. The parameters you can change are: - startingpoints: the number of points the participant starts with at the beginning of the game - maxpoints: the maximum number of points that a participant can have - timeout: the number of milliseconds the participant is given to respond to a bean - positivebeanvalue: the number of points gained by eating a good bean - negativebeanvalue: the number of points lossed by eating a bad bean - timevalue: the number of points lost on each trial as a function of time - feedbackduration: length of time in ms that feedback remains on the screen - fullfeedback: whether to display hypothetical effect of rejected beans