Yoni Test 48

Technical Manual

Script Author: Katja Borchert, Ph.D. (katjab@millisecond.com), Millisecond

Created: November 07, 2014

Last Modified: May 12, 2026 by K. Borchert (katjab@millisecond.com), Millisecond

Script Copyright © Millisecond Software, LLC

Background

This script runs the shorter Yonitest 48 to assess cognitive and affective ToM (Theory of Mind) based on the original Shamay-Tsoory & Aharon-Peretz (2007) Yonitest images and the published short versions by Isernia et al (2023a). Isernia et al (2023a) report high reliability (Cronbach's Alpha >= 0.9) and a good convergent validity with 'Reading the Mind in the Eyes Test' (p < 0.001). The Yonitest 48 allows a comprehensive and quick examination of ToM abilities, suitable for both research and clinical settings.

References

Isernia, S., Rossetto, F., Blasi, V., Massaro, D., Castelli, I., Ricci, C., Shamay-Tsoory, S., Marchetti, A., & Baglio, F. (2023a). Measuring cognitive and affective Theory of Mind with the Italian Yoni task: normative data and short versions. Current Psychology (New Brunswick, N.J.), 42(27), 23519–23530. https://doi.org/10.1007/s12144-022-03457-5

Isernia, S., Rossetto, F., Shamay-Tsoory, S., Marchetti, A., & Baglio, F. (2023b). Standardization and normative data of the 48-item Yoni short version for the assessment of theory of mind in typical and atypical conditions. Frontiers in Aging Neuroscience, 14, 1048599. https://doi.org/10.3389/fnagi.2022.1048599

Shamay-Tsoory, S.G. & Aharon-Peretz, J. (2007). Dissociable prefrontal networks for cognitive and affective theory of mind: A lesion study. Neuropsychologia, 45, 3054–3067.

Original Yoni-test with slides and instructions can be found at: https://sans.haifa.ac.il/Downloads.html

Duration

5 minutes

Description

Participants view slides with a Yoni face in the middle and 4 objects (and occasionally faces) in each of the 4 screen quadrants. Participants are encouraged to click the object that makes the most sense in relation to provided statements such "Yoni thinks of ___________" as well as Yoni gazes (or the gazes of faces next to the 4 objects).

Procedure

3 Judgment Conditions:

1) Cognitive Judgments:
A) first order: Yoni is thinking of___________________; directed Yoni gaze towards target
B1) second order: Yoni is thinking of the fruit that ____________ wants; directed Yoni gaze towards target
B2) second order: Yoni is thinking of the fruit that ____________ wants; non-directed gaze (Yoni looks straight ahead)

2) Affective Judgments: (all possible combination of love/does not love)
A) first order: Yoni loves___________________; directed Yoni gaze towards target
B1) second order: Yoni loves the fruit that ____________ loves ; directed Yoni gaze towards target
B2) second order: Yoni loves the fruit that ____________ loves; non-directed gaze (Yoni looks straight ahead)

3) control condition: Physical Judgments: !gaze information not relevant for this condition
A1) first order: Yoni is next to__________; directed gaze but misleading
A2) first order: Yoni is next to__________; non-directed gaze (Yoni looks straight ahead)
B1) second order: Yoni is next to the fruit that ___________ is next to; directed gaze but misleading
B2) second order: Yoni is next to the fruit that ___________ is next to; non-directed gaze (Yoni looks straight ahead)

Test:
• The test runs 21 cognitive, 21 affective and 6 physical items.
The order of the cognitive and affective items is based on the published order by Isernia et al (2023a).
The placement of the physical items is based on the original placement.

Demographic Survey
An (optional) demographic survey assesses age, gender and years of formal education.

Stimuli

original Yoni-test with slides and instructions can be found at:
https://sans.haifa.ac.il/Downloads.html

See section Editable Stimuli for the original slides.
the numbering of the slides was adjusted, so that the numbers only refer to the
actual Yoni trials

Yonitest-48 only runs the images as published by Isernia et al (2023a, p.23527):
3,5,6*,7*,8,9,10,12,13,15*,
20,21,22,25,30,32,36,54,55,29,
33,34,37,38,44,46,53,60*,61,63,
64,68,71,72,73,74,75,76,77*,79,
80,86,87,91,93*,94,95,98

(*items are the physical control items)

Instructions

The current script covers up the English instructions from the original slides and replaces them
with superimposed text, so that it's easier to adjust the test for different language
versions.

The instructions can be edited in script 'yonitest_instructions_inc.iqjs'

Scoring

Score Adjustements:
Isernia et al (2023b) published an Excel form to adjust raw data and a calculator to automatically adjust raw data
(correct counts and latency measures) in Supplementary materials S2, S3. These data sheets can be accessed here:
https://www.frontiersin.org/journals/aging-neuroscience/articles/10.3389/fnagi.2022.1048599/full

the adjustments are done for age, number of formal education and gender. In this script, participants
can select female (0), male (1), and other (0.5). The 'other' category was NOT part of Isernia et al (2023)
calculations.

Summary Data

File Name: yonitest48_summary*.iqdat

Data Fields

NameDescription
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
inquisit.version Inquisit version number
computer.platform Device platform: win | mac |ios | android
computer.touch 0 = device has no touchscreen capabilities; 1 = device has touchscreen capabilities
computer.hasKeyboard 0 = no external keyboard detected; 1 = external keyboard detected
completed 0 = Test was not completed
1 = Test was completed
version "Y48"
Demographic Information (If Run)
gender Reported gender of participant: 0 = female; 1 = male; 0.5 = other
age Reported age of participant
educationYrs Reported number of years of formal education
Control Performance Metrics
countControlItems Number of control items ('physical') run
correctCountsP Number of correct 'physical' responses
propCorrectP Proportion correct in condition 'physical' (across orders)
meanRTP Mean correct latency (in ms) in condition 'physical' (across orders)
Test Condition Only (Cognitive/Affective)
countTestItems Number of cognitive and affective test items run
correctCounts Number of correct responses
propCorrect Overall proportion correct
meanRT Overall mean correct latency (in ms)
sdRT Overall standard deviation of correct latencies
meanRTInS Overall mean correct latency (in seconds, Range: 0-60, as reported by Isernia et al, 2023b)
countsC Number of 'cognitive' items
correctCountsC Number of correct 'cognitive' responses
propCorrectC Proportion correct in condition 'cognitive' (across orders)
meanRTC Mean correct latency (in ms) in condition 'cognitive' (across orders)
meanRTCInS Mean correct 'cognitive' latency (in seconds, Range: 0-60, as reported by Isernia et al, 2023b)
countsA Number of 'affective' items
correctCountsA Number of correct 'affective' responses
propCorrectA Proportion correct in condition 'affective' (across orders)
meanRTA Mean correct latency (in ms) in condition 'affective' (across orders)
meanRTAInS Mean correct 'affective' latency (in seconds, Range: 0-60, as reported by Isernia et al, 2023b)
countsOrder1 Number of 'order1' items
correctCountsOrder1 Number of correct 'order1' responses
propCorrectOrder1 Proportion correct in condition 'order1'
meanRTOrder1 Mean correct latency (in ms) in condition 'order1'
meanRTOrder1InS Mean correct 'order 1' latency (in seconds, Range: 0-60, as reported by Isernia et al, 2023b)
countsOrder2 Number of 'order2' items
correctCountsOrder2 Number of correct 'order2' responses
propCorrectOrder2 Proportion correct in condition 'order2'
meanRTOrder2 Mean correct latency (in ms) in condition 'order2'
meanRTOrder2InS Mean correct 'order 2' latency (in seconds, Range: 0-60, as reported by Isernia et al, 2023b)
countsCOrder1 Number of 'cognitive/order1' items
correctCountsCOrder1 Number of correct 'cognitive/order1' responses
propCorrectCOrder1 Proportion correct 'cognitive/order1' responses
meanRTCOrder1 Mean correct latency (in ms) in 'cognitive/order1' condition
meanRTCOrder1InS Mean correct 'cognitive/order 1' latency (in seconds, Range: 0-60, as reported by Isernia et al, 2023b)
countsAOrder1 Number of 'affective/order1' items
correctCountsAOrder1 Number of correct 'affective/order1' responses
propCorrectAOrder1 Proportion correct 'affective/order1' responses
meanRTAOrder1 Mean correct latency (in ms) in 'affective/order1' condition
meanRTAOrder1InS Mean correct 'affective/order 1' latency (in seconds, Range: 0-60, as reported by Isernia et al, 2023b)
countsCOrder2 Number of 'cognitive/order2' items
correctCountsCOrder2 Number of correct 'cognitive/order2' responses
propCorrectCOrder2 Proportion correct 'cognitive/order2' responses
meanRTCOrder2 Mean correct latency (in ms) in 'cognitive/order2' condition
meanRTCOrder2InS Mean correct 'cognitive/order 2' latency (in seconds, Range: 0-60, as reported by Isernia et al, 2023b)
countsAOrder2 Number of 'affective/order2' items
correctCountsAOrder2 Number of correct 'affective/order2' responses
propCorrectAOrder2 Proportion correct 'affective/order2' responses
meanRTAOrder2 Mean correct latency (in ms) in 'affective/order2' condition
meanRTAOrder2InS Mean correct 'affective/order 2' latency (in seconds, Range: 0-60, as reported by Isernia et al, 2023b)
Adjusted Correct Count Performance Metrics (See Isernia Et Al, 2023B, Supplemental Materials)
adjOrder1 Adjusted (by age/gender/education) of order1 correct counts
adjOrder2 Adjusted (by age/gender/education) of order2 correct counts
adjA Adjusted (by age/gender/education) of 'affective' correct counts
adjC Adjusted (by age/gender/education) of 'cognitive' correct counts
acc Adjusted proportion correct overall correct counts (Range: 0-1)
caA Adjusted cognitive/affective accuracy index => shows balance between cognitive and affective components
Isernia et al (2023): A caA score near 0 suggests a balance between cognitive and affective ToM performance
a score near 1 indicates a higher affective than cognitive ToM performance level
a score near −1 a higher cognitive than affective ToM performance level.
adjOrder1RT Adjusted (by age/gender/education) mean correct response time of order 1 trials; original response time (in ms) converted to seconds and limited to 60s
adjOrder2 Adjusted (by age/gender/education) mean correct response time of order 2 trials; original response time (in ms) converted to seconds and limited to 60s
adjA Adjusted (by age/gender/education) mean correct response time of 'affective' trials; original response time (in ms) converted to seconds and limited to 60s
adjC Adjusted (by age/gender/education) mean correct response time of 'cognitive' trials; original response time (in ms) converted to seconds and limited to 60s
rt Adjusted response time measure analog to the adjusted proportion correct score caA (practical range: 0 to 1) theoretically, with response times of almost 0 or almost 60, the range is slightly larger
Isernia et al (2023): An 'rt' score near 1 indicates a high level of performance (fast response).
caRT Adjusted cognitive/affective response time index => shows balance between cognitive and affective components
Isernia et al (2023): A caRT score near 0 suggests a balance between cognitive and affective ToM performance
a score near 1 indicates a higher affective than cognitive ToM performance level
a score near −1 a higher cognitive than affective ToM performance level.

Raw Data

File Name: yonitest48_raw*.iqdat

Data Fields

NameDescription
date Date the session was run
time Time the session was run
subject Participant ID
group Group number
session Session number
build Inquisit version number
computer.platform Device platform: win | mac |ios | android
computer.touch 0 = device has no touchscreen capabilities; 1 = device has touchscreen capabilities
computer.hasKeyboard 0 = no external keyboard detected; 1 = external keyboard detected
blockcode The name the current block (built-in Inquisit variable)
blocknum The number of the current block (built-in Inquisit variable)
trialcode The name of the currently recorded trial (built-in Inquisit variable)
trialnum The number of the currently recorded trial (built-in Inquisit variable)
trialnum is a built-in Inquisit variable; it counts all trials run
even those that do not store data to the data file.
version "Y48"
index Contains the itemnumber of the current slide
testCondition 0 = control item (physical)
1 = test item (cognitive & affective)
condition Contains the condition tied to the current slide
(e.g. cognitive, affective, physical)
faceExpression Contains the facial expression of Yoni tied to the current slide
(e.g. happy, neutral, sad)
eyes Contains Yoni's eye gaze in relation to the correct answer for the current slide
(e.g. 'misleading', 'leading', 'non')
order 1 = first order; 2 = second order
see under EXPERIMENTAL SET-UP the explanation for first/second order statements
verbs Contains the verbs used for the current slide
correctAnswer Contains the correct answers tied to the current slide
image Contains the current image presented
response The participant's response
correct The correctness of the response (1 = correct; 0 = otherwise)
latency The response latency (in ms); measured from onset of image

Parameters

The procedure can be adjusted by setting the following parameters.

NameDescriptionDefault
runDemoGraphicQuestions True: script collects gender, age, and education information
false: no demographic data are collected
true