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Speed of processing explains the picture–word asymmetry in conditional naming

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Abstract

In this study, we investigated picture (Experiments 1 and 2) and word (Experiments 3 and 4) processing using different tasks. In Experiments 1 and 3, easy and difficult conditional naming tasks were compared to a free naming task. In Experiments 2 and 4, easy and difficult conditional naming tasks were compared to easy and difficult manual forced-choice semantic decision tasks. For pictures, we showed that a difficult semantic categorization determined a cost for the conditional naming with respect to the free naming (Experiment 1). Also, we found that the difference in RTs between the easy and difficult conditional naming tasks was much smaller than the difference between the easy and difficult forced-choice semantic decision tasks (Experiment 2). For words, results showed that free reading was faster than easy conditional reading, which in turn was faster than difficult conditional reading (Experiment 3). An analogous pattern of results was obtained when the easy and difficult conditional reading tasks were compared to the easy and difficult forced-choice semantic decision tasks (Experiment 4). Globally, the results showed that whether a cost is observed or not depends upon the relative timing of the classification and name retrieval processes. A theoretical framework has been proposed.

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Notes

  1. Note that in order to explain our data, other functionally equivalent architectures could be developed (e.g., the encyclopedic units could be located at a lower hierarchical level with respect to the super-ordinate category, in such a way that in order to activate the former, the latter has to be activated; see Collins & Loftus, 1975). However, since we had no data on which to base such conjectures, we selected the simplest possible architecture.

  2. Postulating different rates of activation for super-ordinate units and for encyclopedic units might seem an ad hoc solution; however, it parallels the solution adopted to implement frequency in models of the interactive-activation family (McClelland & Rumelhart, 1981; Coltheart et al., 2001.

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Acknowledgments

This research was supported by grants from MURST at the Università degli Studi di Padova. We warmly thank Max Coltheart for his helpful comments on a preliminary version of the paper.

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Correspondence to Claudio Mulatti.

Appendix

Appendix

Length of names (in letters, LET; and in syllable SYL), frequency (FRQ), familiarity (FAM), typicality (TYP), age o f acquisition (AoA), and name agreement (NA) for the stimulus material

 

 

LET

SYL

FRQ

FAM

TYP

AoA

NA

Italian animals

 Aquila (Eagle)

6

3

2.28

4.1

6.3

4.1

71

 Cervo (Deer)

5

2

1.99

4.9

4.8

3.9

79

 Gufo (Owl)

4

2

1.90

4.1

4.2

4.1

90

 Maiale (Pig)

6

3

2.08

5.4

4.5

2.5

98

 Oca (Goose)

3

2

2.65

5.0

3.4

3.1

71

 Pavone (Peacock)

6

3

1.34

4.1

3.6

4.5

98

 Pecora (Sheep)

6

3

1.89

5.3

4.5

2.8

98

 Picchio (Woodpecker)

7

2

0.70

4.3

5.6

4.3

86

 Scoiattolo (Squirrel)

10

4

1.04

4.5

4.1

2.9

93

Topo (Mouse)

4

2

2.59

5.5

2.5

2.6

98

Mean

5.7

2.6

1.8

4.7

4.3

3.5

88

Foreign animals

 Cammello (Camel)

8

3

1.53

3.1

3.6

3.9

93

 Canguro (Kangaroo)

7

3

0.95

3.7

4.9

3.9

98

 Elefante (Elephant)

8

4

1.85

4.2

5.5

2.7

100

 Giraffa (Giraffe)

7

3

1.00

4.0

4.8

2.9

98

 Ippopotamo (Hippopotamus)

10

5

0.95

2.9

3.9

4.0

83

 Leone (Lion)

5

3

2.61

4.3

5.9

2.4

100

 Pinguino (Penguin)

8

3

1.26

3.6

3.2

3.3

95

 Struzzo (Ostrich)

7

2

1.28

3.3

2.9

4.9

83

 Tigre (Tiger)

5

2

2.17

4.1

5.7

3.0

95

 Zebra (Zebra)

5

2

1.20

3.8

4.8

3.6

95

Mean

7.0

3.0

1.5

3.7

4.5

3.4

94

Objects

 Bottiglia (Bottle)

9

3

2.40

6.3

5.9

1.9

98

 Coltello (Knife)

8

3

2.40

6.9

6.3

2.3

100

 Coperchio (Lid)

9

3

1.85

6.7

4.9

3.0

81

 Cucchiaio (Spoon)

9

3

2.02

6.8

6.5

2.0

100

 Forchetta (Fork)

9

3

1.67

6.8

6.2

1.8

100

 Grattugia (Grater)

9

3

0.70

6.9

5.2

4.2

95

 Imbuto (Funnel)

6

3

1.38

6.7

4.3

3.8

100

 Pentola (Pot)

7

3

1.95

7.0

6.7

2.7

98

 Scopa (Broom)

5

2

1.40

6.9

6.0

2.7

98

 Teiera (Teapot)

6

3

1.32

4.7

3.7

5.1

79

 Antenna (Antenna)

7

3

1.93

5.4

4.5

5.0

95

 Bicicletta (Bicycle)

10

4

2.45

6.9

5.3

2.3

95

 Divano (Couch)

6

3

2.22

6.7

6.9

2.5

93

 Guanto (Glove)

6

2

1.76

5.3

4.3

2.9

100

 Ombrello (Umbrella)

8

3

1.85

6.1

2.9

2.9

98

 Pigiama (Pyjamas)

7

3

1.51

6.1

2.5

2.3

98

 Poltrona (Armchair)

8

3

2.58

6.3

6.2

2.7

88

 Sciarpa (Scarf)

7

2

1.79

6.3

5.9

2.5

100

 Scrivania (Desk)

9

4

2.48

6.2

5.7

3.9

83

 Sveglia (Clock)

7

2

1.93

6.9

6.0

3.6

90

Mean

7.6

2.9

1.9

6.4

5.3

3.0

94

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Mulatti, C., Lotto, L., Peressotti, F. et al. Speed of processing explains the picture–word asymmetry in conditional naming. Psychological Research 74, 71–81 (2010). https://doi.org/10.1007/s00426-008-0182-2

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