Analyzing reaction time and error sequences in lexical decision experiments
Publication year
2019Publisher
Graz, Austria : International Speech Communication Association (ISCA)
In
Interspeech 2019, pp. 2280-2284Annotation
Interspeech 2019, 15 september 2019
Publication type
Article in monograph or in proceedings
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Organization
Theoretische Taalwetenschap
Toegepaste Taalwetenschap
Languages used
English (eng)
Book title
Interspeech 2019
Page start
p. 2280
Page end
p. 2284
Subject
Language & Communication; Language & Speech Technology; Multimodal language and communication; Speech Production and ComprehensionAbstract
Reaction times (RTs) are used widely in psychological and
psycholinguistic research as inexpensive measures of underlying
cognitive processes. However, inferring cognitive processes
from RTs is hampered by the fact that actual responses are the
result of multiple factors, many of which may not be related to
the process of interest. In lexical decision experiments, the use
of RTs is further complicated by the fact that the response to
some stimuli is missing, and the fact that part of the responses
are ’incorrect’.
In this paper we investigate the distribution of missing and incorrect
responses in the RT sequences of two large lexical decision
experiments. It appears that a substantial part of incorrect
responses cluster together. Then, we investigate the effect of
clusters of incorrect responses on surrounding RTs.
Also, we extend previous research on methods for discovering
and removing so-called local speed effects from RT sequences.
For this purpose, we show that a recently introduced graph based
RT analysis method can help to better understand and
analyze RT sequences.
This item appears in the following Collection(s)
- Academic publications [238441]
- Electronic publications [122508]
- Faculty of Arts [29387]
- Open Access publications [97504]
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