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Effects of semantic and temporal grouping on serial order processing

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EFFECTS OF SEMANTIC AND TEMPORAL GROUPING

ON SERIAL ORDER PROCESSING

Kowialiewski, Benjamin

1,2

, Gorin, Simon

1

, & Majerus, Steve

1,2

1

University of Liège, Liège, Belgium;

2

Fund for Scientific Research, F.R.S.-FNRS, Belgium

Short-term memory (STM) for item

information, i.e. the ability to recall

memoranda independently of their serial position within a list, is typically enhanced by semantic knowledge. How linguistic information interacts with serial order, i.e. the ability to recall items in their correct serial position, remains however poorly understood. Yet, some theoretical models postulate interactions between serial order

STM and linguistic knowledge (e.g. Acheson

& Macdonald, 2009; Burgess & Hitch, 2006; Majerus, 2009, 2013). This study aimed at assessing whether and how linguistic knowledge and serial order STM interact, by examining the impact of semantic relatedness on serial order recall errors (transposition

errors) in immediate serial recall and order

reconstruction tasks.

Introduction & aim

Method

Results

Discussion & Conclusion

Acheson, D. J., & Macdonald, M. C. (2009) Psychological Bulletin, 135(1), 50–68.

Burgess, N., & Hitch, G. J. (2006) Journal of Memory and Language, 55(4), 627–652.

Dell, G. S., Schwartz, M. F., Martin, N., Saffran, E. M., & Gagnon, D. A. (1997). Lexical Access in Aphasic and Nonaphasic Speakers. Psychological Review, 104(4), 801–838.

Majerus, S. (2009) In Interactions between short-term and long-term memory in the verbal

domain (p. 244).

References

Kowialiewski Benjamin PhD Student F.R.S-FNRS University of Liège [email protected] Tél: +32(0)4 366 39 95

Contact

Experiment 2 – Immediate serial recall task (N = 40) The semantically related words were presented in an

interleaved format (e.g. three, cloud, leaf, sky,

branch, rain). In half of the trials, the words were

temporally grouped by groups of 2 by inserting a

pause after two successive items.

Experiment 1 – Immediate serial recall task (N = 39) The words in the 6-items lists were semantically related by groups of 3 (e.g. three, leaf, branch, cloud,

sky, rain) in the related condition, or they were unrelated. In addition, in half of the lists, words were

temporally grouped by groups of 3 by inserting a

temporal pause between groups.

Semantic relatedness: BF

10

> 100

Temporal grouping: BF

10

> 100

Interaction: BF

10

> 87.43

Experiment 1 – Immediate serial recall

Transposition error analysis

A B

475ms 750ms

A B A B A B

475ms 375ms

Experiment 3 – Order reconstruction task

Experiment 2 – Immediate serial recall

Semantic relatedness : BF

10

= 1.25

Temporal grouping: BF

10

> 100

Interaction: BF

10

= 0.876

Semantic relatedness: BF

10

> 100

Temporal grouping : BF

10

= 0.363

Interaction: BF

10

= 0.564

Experiment 3 – Order reconstruction task (N = 13) Same setup as Experiments 2 (interleaved semantic format), except that we presented lists of 8 written words and used an order

reconstruction task.

- Semantic relatedness led to increased serial order confusions errors

between items related at the semantic level, but only in the direct semantic

grouping condition (Experiment 1), in which both semantic and serial

position codes were similar and confusable.

- In the interleaved semantic condition, more serial order confusion errors were observed only in the reconstruction task (Experiment 3), but not in the immediate serial recall task (Experiment 2).

- These results highlight direct interactions between the coding of verbal item information and the coding of serial position information

- Available STM frameworks allowing for these interactions need further specification, especially at the semantic level (e.g. Burgess & Hitch, 2006; Majerus, 2009).

- Linguistic models (e.g. Acheson & MacDonald, 2009; Dell et al., 1997) need to integrate serial order coding mechanisms.

W it h in -c a te g o ry t ra n s p o s it io n s G r o u p e d U n g r o u p e d 0 .0 0 .1 0 .2 0 .3 0 .4 0 .5 0 .6 0 .7 0 .8 0 .9 1 .0 R e lated U n re la te d W it h in -c a te g o ry t ra n s p o s it io n s G r o u p e d U n g r o u p e d 0 .0 0 .1 0 .2 0 .3 0 .4 0 .5 0 .6 0 .7 0 .8 0 .9 1 .0 R e lated U n re la te d W it h in -c a te g o ry t ra n s p o s it io n s G r o u p e d U n g r o u p e d 0 .0 0 .1 0 .2 0 .3 0 .4 0 .5 0 .6 0 .7 0 .8 0 .9 1 .0 R e lated U n re la te d

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