distribution of tau distances assessing episodic and semantic contributions in serial recall...
Post on 19-Dec-2015
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Distribution of Tau Distances
0 4 8 12 16 20 24 28 320
0.2
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0.6bus
0 4 8 12 16 20 24 28 320
0.2
0.4
0.6 morning
0 4 8 12 16 20 24 28 320
0.1
0.2
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0.4 wedding
0 4 8 12 16 20 24 28 320
0.1
0.2
yogurt
0 4 8 12 16 20 24 28 320
0.05
0.1
0.15
0.2 pizza
0 4 8 12 16 20 24 28 320
0.1
0.2
0.3clay
PriorEpisodic MemoryChance
Assessing Episodic and Semantic Contributions in Serial RecallPernille Hemmer, Brent Miller & Mark Steyvers
University of California, Irvine
A Wisdom of Crowds AnalysisCan we reconstruct the original order on the basis of the recalled orders of a group of individuals? How can memory models help us in this reconstruction process? The goal here is to show that the reconstructed order from a group of individuals is better than the recalled order from any particular individual – a wisdom of crowds effect.
We developed a variant of the perturbation model (Estes et al., 1972) that can explain a number of memory errors in serial recall. In this model, items are originally encoded in the correct temporal sequence. Errors occur by locally perturbing the temporal encoding.
In our variant of the model, we build in individual differences and item differences – assuming that some people have better memories (sigma parameter), and that some items are easier to rank (e.g., because they stand out temporally)
Prior knowledge and expectations about events are known to influence episodic memory. Researchers often assume that prior knowledge leads to errors in recall. We investigate recall for the order of sequences of events, focusing on the potential benefit of prior knowledge.
First, we assess the prior knowledge that people bring to the memory task. Second, we utilize memory tasks that are ecologically valid. The stimulus materials to be remembered have the same statistical regularities as can be found in the natural environment. The memory task involves a rank-ordering task in which people have to remember the study order of pictures of stereotyped and random event sequences.
We expect to show that combining our knowledge of the regularities of the environment with these noisy memory representations improves the overall accuracy in episodic memory
Introduction
The TasksTen images were drawn from 6 different video clips.
Three videos depicted stereotyped events sequences (getting up in the morning, a wedding, getting on the school bus) for which people have strong prior expectations.
Three videos depicted more random event sequences (yogurt, pizza, claymation) for which people have weak prior expectations.
Prior knowledge condition: Participants would order the randomized sequence of images based on their prior expectation and with out having previously viewed the images Memory condition: Participants would first study the correct sequence of images. They would then order the sequence from memory.
probability for individual j that the item at the source position i gets perturbed to the destination position k.
Original order
Recalled order
A B C D E F G H
D
Note: the mean tau expected for random sequences is 22.5 (=10*9/4)
Median Tau to Truth
Performance was measures using Kendall’s Tau: The number of adjacent pair-wise swaps between recalled and true order.
= 1
= 1+1Ordering by IndividualA B E C D
True OrderA B C D E
C DEA B
A B C D E
= 2
Measuring Performance
Bus Morning Wedding Pizza Yogurt Clay0
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30
Prior No Prior
Med
ian
Tau
Study
No studyChance
Data for Morning Sequence (see top banner)
1. event1 (1)2. event2 (2)3. event3 (3)4. event4 (4)5. event5 (5)6. event6 (7)7. event7 (6)8. event8 (8)9. event9 (9)
10. event10 (10)
Bus (Recall)
0
2
4
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R=0.721
1. event1 (1)2. event2 (2)3. event3 (3)4. event4 (4)5. event5 (5)6. event6 (6)7. event7 (7)8. event8 (8)9. event9 (9)
10. event10 (10)
Morning (Recall)
0
2
4
6
8
10
12
R=0.982
1 2 3 4 5 6 7 8 9 10
1. event1 (1)2. event2 (2)3. event3 (3)4. event4 (4)5. event5 (5)6. event6 (6)7. event7 (7)8. event8 (8)9. event9 (9)
10. event10 (10)
Output Position1 2 3 4 5 6 7 8 9 10
Output Position
Wedding (Recall)
0 2 4 6
0 2 40
2
4
6
8
10
12
R=0.980
1. event1 (1)2. event2 (2)3. event3 (3)4. event4 (5)5. event5 (7)6. event6 (4)7. event7 (6)8. event8 (8)9. event9 (9)
10. event10 (10)
Yogurt (Recall)
0
5
10
15
20
25
R=0.885
1. event1 (1)2. event2 (2)3. event3 (4)4. event4 (5)5. event5 (3)6. event6 (6)7. event7 (7)8. event8 (8)
9. event9 (10)10. event10 (9)
Pizza (Recall)
0
5
10
15
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25
30
R=0.920
1 2 3 4 5 6 7 8 9 10
1. event1 (1)2. event2 (2)3. event3 (3)4. event4 (5)5. event5 (6)6. event6 (4)7. event7 (7)8. event8 (8)9. event9 (9)
10. event10 (10)
Output Position1 2 3 4 5 6 7 8 9 10
Output Position
Clay (Recall)
0 0.5 1 1.5 2 2.5
0 2 4 60
5
10
15
20
25
R=0.924
Inferred Model Parameters
Example Random Sequences
Example Stereotyped Event Sequence
Best individual Average Individual Inferred Item Accuracy Calibration of Individuals
Participant number (first row)
Tau score for each participant (second row)
Tau scores indicate high accuracy from guessing with prior knowledge for stereotyped events
For random events prior knowledge performance is similar to chance
Taus are significantly lower for stereotyped (prior) than for random (no prior) events
Taus in the memory task (study) are significantly lower than in the prior knowledge task (no study)
Even when participants did not previously study the events, they performed better for all three stereotyped events
Semantic and Episodic Contributions
prior serial recall
A B C D E F G H I J
A B C D E F G H I J
Data for Pizza Sequence (see bottom banner)
prior serial recall
Morning Sequence
WeddingSequence
Pizza Sequence
ClaySequence
Me
an
t
1 10 20 300
5
10
15
Individuals
Thurstonian ModelPerturbation ModelBorda countIndividuals
Mean Performance of Individuals and Model(s)
Note: the Thurstonian and Borda count model are two alternative models that were applied to this data