Script Author: Katja Borchert, Ph.D. (katjab@millisecond.com), Millisecond
Created: January 14, 2018
Last Modified: January 12, 2023 by K. Borchert (katjab@millisecond.com), Millisecond
Script Copyright © Millisecond Software, LLC
This script implements a Social Evaluation Learning Task that allows to contrast perceived social evaluations of 'self' vs. social evaluations of 'others'.
The implemented procedure is based on:
Button, K.S., Kounali, D., Stapinski, L., Rapee, R.M, Lewis, G., & Munafò, M.R.M (2015). Fear of Negative Evaluation Biases Social Evaluation Inference: Evidence from a Probabilistic Learning Task. PLOS ONE | DOI:10.1371/journal.pone.0119456
Stimuli published in: Button KS, Browning M, Munafo MR, Lewis G (2012) Social inference and social anxiety: evidence of a fear-congruent self-referential learning bias. J Behav Ther Exp Psychiatry 43: 1082–1087. doi: 10. 1016/j.jbtep.2012.05.004 PMID: 22699043
15 minutes
Participants encounter 6 computer personas across 2 learning tasks during which they have to learn whether the computer personas like them (self referential task, SR) or like 'George' (other referential task, OR). At the end of the SR condition, participants have to guess if the computer persona (e.g. 'Alex') likes them based on learning what 'Alex' thinks of them. To learn what 'Alex' thinks of them, participants are given word pairs (e.g. 'witty' vs. 'dull') and are asked to choose the word that corresponds to what 'Alex' thinks of them. Feedback contingencies corresponded to 3 rules, 'like', 'neutral' and ''dislike', with P[positive word correct] = 0.8, 0.5 and 0.2, respectively. Each feedback contingency block is coupled with a different persona. In the OR condition, participants have to guess if the computer persona (e.g. 'Charlie') likes a person named 'George' using the same set-up.
this task runs with mouse/touchscreen selections
• order of SR (self-referential) vs. OR (other-referential) conditions is counterbalanced by groupnumber
odd groupnumbers : SR->OR
even groupnumbers: OR->SR
• personas are selected randomly for each condition from a pool
of three gender-neutral (English speaking countries) names (see list.personas_SR and list.personas_OR)
SR condition: (reference: self)
- 3 blocks: like, neutral, dislike (order is randomly determined)
- each block runs 32 trials, randomly selecting word pairs from a pool of 64 word pairs (no repeats within a block)
- one word of each word pair is 'positive', the other 'negative'
- the two words are randomly assigned to one of 4 screen locations (upper left, upper right, lower right, lower left)
- LIKE-block: across every 10 trials, participants receive positive feedback if they select the positive description 8 times
(2 randomly selected times, participants get negative feedback for selecting the positive word;
the contingeny is reversed for selecting the negative description)
- NEUTRAL-block: across every 10 trials, participants receive positive feedback if they select the positive description 5 times
(5 randomly selected times, participants get negative feedback for selecting the positive word;
the contingeny is reversed for selecting the negative description)
- DISLIKE-block: across every 10 trials, participants receive positive feedback if they select the positive description 2 times
(8 randomly selected times, participants get negative feedback for selecting the positive word;
the contingeny is reversed for selecting the negative description)
- at the end of each block, participants are asked to decide whether the computer liked them or disliked them and with what
probability (e.g. '70% liked me')
OR condition (reference: a person named George)
- same set up as SR blocks
see Button et al (2012)
stimuli under section 'Editable Stimuli'
all elements that present text can be found under section 'Editable Stimuli', 'Editable Instructions'
or 'Editable Lists' for easy editing/translating of the task
generated based on Button et al (2015) and an eprime script running the task
see section 'Editable Instructions'
File Name: socialevaluationlearningtask_mi_summary*.iqdat
| Name | Description |
|---|---|
| inquisit.version | Inquisit version number |
| computer.platform | Device platform: win | mac |ios | android |
| startDate | Date the session was run |
| startTime | Time the session was run |
| subjectId | Participant ID |
| groupId | Group number |
| sessionId | Session number |
| elapsedTime | Session duration in ms |
| completed | 0 = Test was not completed 1 = Test was completed |
| conditionOrder | 'SR -> OR' vs. 'OR -> SR' |
| personaSR | The names used in the SR condition |
| personaOR | The names used in the OR condition |
| ratingLikeSR | Stores the rating for the LIKE SR condition on a scale from 0 = totally dislike to 100 = totally like |
| ratingDislikeSR | Stores the rating for the DISLIKE SR condition on a scale from 0 = totally dislike to 100 = totally like |
| ratingNeutralSR | Stores the rating for the NEUTRAL SR condition on a scale from 0 = totally dislike to 100 = totally like |
| ratingLikeOR | Stores the rating for the LIKE OR condition on a scale from 0 = totally dislike to 100 = totally like |
| ratingDislikeOR | Stores the rating for the DISLIKE OR condition on a scale from 0 = totally dislike to 100 = totally like |
| ratingNeutralOR | Stores the rating for the NEUTRAL OR condition on a scale from 0 = totally dislike to 100 = totally like |
| propLikeRespLikeSR | Proportion of selecting the positive word in SR 'LIKE' condition (=> proportion correct responses in SR 'LIKE' condition) |
| meanRTLikeRespLikeSR | Mean response time in ms of selecting positive word in SR 'LIKE' condition |
| propLikeRespDislikeSR | Proportion of selecting the positive word in SR 'DISLIKE' condition (=> proportion error responses in SR 'DISLIKE' condition) |
| meanRTLikeRespDislikeSR | Mean response time in ms of selecting positive word in SR 'DISLIKE' condition |
| propLikeRespNeutralSR | Proportion of selecting the positive word in SR 'NEUTRAL' condition (=> proportion correct responses in SR 'NEUTRAL' condition) |
| meanRTLikeRespNeutralSR | Mean response time in ms of selecting positive word in SR 'NEUTRAL' condition |
| propLikeRespLikeOR | Proportion of selecting the positive word in OR 'LIKE' condition (=> proportion correct responses in OR 'LIKE' condition) |
| meanRTLikeRespLikeOR | Mean response time in ms of selecting positive word in OR 'LIKE' condition |
| propLikeRespDislikeOR | Proportion of selecting the positive word in OR 'DISLIKE' condition (=> proportion errir responses in OR 'DISLIKE' condition) |
| meanRTLikeRespDislikeOR | Mean response time in ms of selecting positive word in OR 'DISLIKE' condition |
| propLikeRespNeutralOR | Proportion of selecting the positive word in OR 'NEUTRAL' condition (=> proportion correct responses in OR 'NEUTRAL' condition) |
| meanRTLikeRespNeutralOR | Mean response time in ms of selecting positive word in OR 'NEUTRAL' condition |
File Name: socialevaluationlearningtask_mi_raw*.iqdat
| Name | Description |
|---|---|
| build | Inquisit version number |
| computer.platform | Device platform: win | mac |ios | android |
| date | Date the session was run |
| time | Time the session was run |
| subject | Participant ID |
| group | Group number |
| session | Session number |
| blockCode | Name of the current block |
| blockNum | Number of the current block |
| trialCode | Name of the current trial |
| trialNum | Number of the current trial |
| conditionOrder | 'SR -> OR' vs. 'OR -> SR' |
| condition | 1 = SR (self rating) vs. 2 = OR (other rating) => current rating block |
| learningTrialCounter | Counts learning trials in each 'rule block' (block.LIKE, block.DISLIKE, block.NEUTRAL) |
| persona | The 'name' of the computer persona currently 'judging' |
| rule | Rule to be learned 'positive' (persona likes me/George) 'negative' (persona does not like me/George) 'neutral' (persona is indifferent towards me/George) |
| posWordLocation | Stores the current position of the positive word (1-4) |
| negWordLocation | Stores the current position of the negative word (1-4) 1: upper left; 2: upper right; 3 = lower right; 4 = lower left (clockwise) |
| posWord | Stores the currently presented positive word |
| negWord | Stores the currently presented negative word |
| incorrResp | Stores the incorrect word ("posWord" or "negWord") |
| corrResp | Stores the correct word ("posWord" or "negWord") |
| response | The participant's response |
| correct | Accuracy of response 1 = correct response 0 = otherwise Learning Trials LIKE/NEUTRAL condition: 1 = participant chose positive word; 0 = otherwise DISLIKE condition: 1 = participant chose negative word; 0 = otherwise Rating Trials correct = 1 has no meaning |
| latency | The response latency (in ms); measured from: onset of word pairs |
| feedback | 1 = positive feedback for positive words/negative feedback for negative words 2 = negative feedback for positive words/positive feedback for negative words across every 10 trials, the selection of 1/0 should reflect the feedback-contingency of the block Example: condition 'LIKE': across every 10 trials, 8 trials have feedback = 1; 2 trials have feedback = 0 |
| selectFeedbackStim | 1 = correct; 2 = incorrect ( the presented feedback is NOT based on acc, but rather on the probability of giving consistent feedback with the current rule) |
| rating | Converts the rating into a discrete scale from 0 = completely dislike to 100 = completely like |
The procedure can be adjusted by setting the following parameters.
| Name | Description | Default |
|---|---|---|
| feedbackDuration | The duration (in ms) of the feedback | 2000ms |