Antje Meyer

Publications

Displaying 1 - 10 of 10
  • Duñabeitia, J. A., Crepaldi, D., Meyer, A. S., New, B., Pliatsikas, C., Smolka, E., & Brysbaert, M. (2018). MultiPic: A standardized set of 750 drawings with norms for six European languages. Quarterly Journal of Experimental Psychology, 71(4), 808-816. doi:10.1080/17470218.2017.1310261.

    Abstract

    Numerous studies in psychology, cognitive neuroscience and psycholinguistics have used pictures of objects as stimulus materials. Currently, authors engaged in cross-linguistic work or wishing to run parallel studies at multiple sites where different languages are spoken must rely on rather small sets of black-and-white or colored line drawings. These sets are increasingly experienced as being too limited. Therefore, we constructed a new set of 750 colored pictures of concrete concepts. This set, MultiPic, constitutes a new valuable tool for cognitive scientists investigating language, visual perception, memory and/or attention in monolingual or multilingual populations. Importantly, the MultiPic databank has been normed in six different European languages (British English, Spanish, French, Dutch, Italian and German). All stimuli and norms are freely available at http://www.bcbl.eu/databases/multipic

    Additional information

    http://www.bcbl.eu/databases/multipic
  • Fairs, A., Bögels, S., & Meyer, A. S. (2018). Dual-tasking with simple linguistic tasks: Evidence for serial processing. Acta Psychologica, 191, 131-148. doi:10.1016/j.actpsy.2018.09.006.

    Abstract

    In contrast to the large amount of dual-task research investigating the coordination of a linguistic and a nonlinguistic
    task, little research has investigated how two linguistic tasks are coordinated. However, such research
    would greatly contribute to our understanding of how interlocutors combine speech planning and listening in
    conversation. In three dual-task experiments we studied how participants coordinated the processing of an
    auditory stimulus (S1), which was either a syllable or a tone, with selecting a name for a picture (S2). Two SOAs,
    of 0 ms and 1000 ms, were used. To vary the time required for lexical selection and to determine when lexical
    selection took place, the pictures were presented with categorically related or unrelated distractor words. In
    Experiment 1 participants responded overtly to both stimuli. In Experiments 2 and 3, S1 was not responded to
    overtly, but determined how to respond to S2, by naming the picture or reading the distractor aloud. Experiment
    1 yielded additive effects of SOA and distractor type on the picture naming latencies. The presence of semantic
    interference at both SOAs indicated that lexical selection occurred after response selection for S1. With respect to
    the coordination of S1 and S2 processing, Experiments 2 and 3 yielded inconclusive results. In all experiments,
    syllables interfered more with picture naming than tones. This is likely because the syllables activated phonological
    representations also implicated in picture naming. The theoretical and methodological implications of the
    findings are discussed.

    Additional information

    1-s2.0-S0001691817305589-mmc1.pdf
  • Konopka, A., Meyer, A. S., & Forest, T. A. (2018). Planning to speak in L1 and L2. Cognitive Psychology, 102, 72-104. doi:10.1016/j.cogpsych.2017.12.003.

    Abstract

    The leading theories of sentence planning – Hierarchical Incrementality and Linear Incrementality – differ in their assumptions about the coordination of processes that map preverbal information onto language. Previous studies showed that, in native (L1) speakers, this coordination can vary with the ease of executing the message-level and sentence-level processes necessary to plan and produce an utterance. We report the first series of experiments to systematically examine how linguistic experience influences sentence planning in native (L1) speakers (i.e., speakers with life-long experience using the target language) and non-native (L2) speakers (i.e., speakers with less experience using the target language). In all experiments, speakers spontaneously generated one-sentence descriptions of simple events in Dutch (L1) and English (L2). Analyses of eye-movements across early and late time windows (pre- and post-400 ms) compared the extent of early message-level encoding and the onset of linguistic encoding. In Experiment 1, speakers were more likely to engage in extensive message-level encoding and to delay sentence-level encoding when using their L2. Experiments 2–4 selectively facilitated encoding of the preverbal message, encoding of the agent character (i.e., the first content word in active sentences), and encoding of the sentence verb (i.e., the second content word in active sentences) respectively. Experiment 2 showed that there is no delay in the onset of L2 linguistic encoding when speakers are familiar with the events. Experiments 3 and 4 showed that the delay in the onset of L2 linguistic encoding is not due to speakers delaying encoding of the agent, but due to a preference to encode information needed to select a suitable verb early in the formulation process. Overall, speakers prefer to temporally separate message-level from sentence-level encoding and to prioritize encoding of relational information when planning L2 sentences, consistent with Hierarchical Incrementality
  • Kösem, A., Bosker, H. R., Takashima, A., Meyer, A. S., Jensen, O., & Hagoort, P. (2018). Neural entrainment determines the words we hear. Current Biology, 28, 2867-2875. doi:10.1016/j.cub.2018.07.023.

    Abstract

    Low-frequency neural entrainment to rhythmic input
    has been hypothesized as a canonical mechanism
    that shapes sensory perception in time. Neural
    entrainment is deemed particularly relevant for
    speech analysis, as it would contribute to the extraction
    of discrete linguistic elements from continuous
    acoustic signals. However, its causal influence in
    speech perception has been difficult to establish.
    Here, we provide evidence that oscillations build temporal
    predictions about the duration of speech tokens
    that affect perception. Using magnetoencephalography
    (MEG), we studied neural dynamics during
    listening to sentences that changed in speech rate.
    Weobserved neural entrainment to preceding speech
    rhythms persisting for several cycles after the change
    in rate. The sustained entrainment was associated
    with changes in the perceived duration of the last
    word’s vowel, resulting in the perception of words
    with different meanings. These findings support oscillatory
    models of speech processing, suggesting that
    neural oscillations actively shape speech perception.
  • Maslowski, M., Meyer, A. S., & Bosker, H. R. (2018). Listening to yourself is special: Evidence from global speech rate tracking. PLoS One, 13(9): e0203571. doi:10.1371/journal.pone.0203571.

    Abstract

    Listeners are known to use adjacent contextual speech rate in processing temporally ambiguous speech sounds. For instance, an ambiguous vowel between short /A/ and long /a:/ in Dutch sounds relatively long (i.e., as /a:/) embedded in a fast precursor sentence, but short in a slow sentence. Besides the local speech rate, listeners also track talker-specific global speech rates. However, it is yet unclear whether other talkers' global rates are encoded with reference to a listener's self-produced rate. Three experiments addressed this question. In Experiment 1, one group of participants was instructed to speak fast, whereas another group had to speak slowly. The groups were compared on their perception of ambiguous /A/-/a:/ vowels embedded in neutral rate speech from another talker. In Experiment 2, the same participants listened to playback of their own speech and again evaluated target vowels in neutral rate speech. Neither of these experiments provided support for the involvement of self-produced speech in perception of another talker's speech rate. Experiment 3 repeated Experiment 2 but with a new participant sample that was unfamiliar with the participants from Experiment 2. This experiment revealed fewer /a:/ responses in neutral speech in the group also listening to a fast rate, suggesting that neutral speech sounds slow in the presence of a fast talker and vice versa. Taken together, the findings show that self-produced speech is processed differently from speech produced by others. They carry implications for our understanding of the perceptual and cognitive mechanisms involved in rate-dependent speech perception in dialogue settings.
  • Meyer, A. S., Alday, P. M., Decuyper, C., & Knudsen, B. (2018). Working together: Contributions of corpus analyses and experimental psycholinguistics to understanding conversation. Frontiers in Psychology, 9: 525. doi:10.3389/fpsyg.2018.00525.

    Abstract

    As conversation is the most important way of using language, linguists and psychologists should combine forces to investigate how interlocutors deal with the cognitive demands arising during conversation. Linguistic analyses of corpora of conversation are needed to understand the structure of conversations, and experimental work is indispensable for understanding the underlying cognitive processes. We argue that joint consideration of corpus and experimental data is most informative when the utterances elicited in a lab experiment match those extracted from a corpus in relevant ways. This requirement to compare like with like seems obvious but is not trivial to achieve. To illustrate this approach, we report two experiments where responses to polar (yes/no) questions were elicited in the lab and the response latencies were compared to gaps between polar questions and answers in a corpus of conversational speech. We found, as expected, that responses were given faster when they were easy to plan and planning could be initiated earlier than when they were harder to plan and planning was initiated later. Overall, in all but one condition, the latencies were longer than one would expect based on the analyses of corpus data. We discuss the implication of this partial match between the data sets and more generally how corpus and experimental data can best be combined in studies of conversation.

    Additional information

    Data_Sheet_1.pdf
  • Schillingmann, L., Ernst, J., Keite, V., Wrede, B., Meyer, A. S., & Belke, E. (2018). AlignTool: The automatic temporal alignment of spoken utterances in German, Dutch, and British English for psycholinguistic purposes. Behavior Research Methods, 50(2), 466-489. doi:10.3758/s13428-017-1002-7.

    Abstract

    In language production research, the latency with which speakers produce a spoken response to a stimulus and the onset and offset times of words in longer utterances are key dependent variables. Measuring these variables automatically often yields partially incorrect results. However, exact measurements through the visual inspection of the recordings are extremely time-consuming. We present AlignTool, an open-source alignment tool that establishes preliminarily the onset and offset times of words and phonemes in spoken utterances using Praat, and subsequently performs a forced alignment of the spoken utterances and their orthographic transcriptions in the automatic speech recognition system MAUS. AlignTool creates a Praat TextGrid file for inspection and manual correction by the user, if necessary. We evaluated AlignTool’s performance with recordings of single-word and four-word utterances as well as semi-spontaneous speech. AlignTool performs well with audio signals with an excellent signal-to-noise ratio, requiring virtually no corrections. For audio signals of lesser quality, AlignTool still is highly functional but its results may require more frequent manual corrections. We also found that audio recordings including long silent intervals tended to pose greater difficulties for AlignTool than recordings filled with speech, which AlignTool analyzed well overall. We expect that by semi-automatizing the temporal analysis of complex utterances, AlignTool will open new avenues in language production research.
  • Tromp, J., Peeters, D., Meyer, A. S., & Hagoort, P. (2018). The combined use of Virtual Reality and EEG to study language processing in naturalistic environments. Behavior Research Methods, 50(2), 862-869. doi:10.3758/s13428-017-0911-9.

    Abstract

    When we comprehend language, we often do this in rich settings in which we can use many cues to understand what someone is saying. However, it has traditionally been difficult to design experiments with rich three-dimensional contexts that resemble our everyday environments, while maintaining control over the linguistic and non-linguistic information that is available. Here we test the validity of combining electroencephalography (EEG) and Virtual Reality (VR) to overcome this problem. We recorded electrophysiological brain activity during language processing in a well-controlled three-dimensional virtual audiovisual environment. Participants were immersed in a virtual restaurant, while wearing EEG equipment. In the restaurant participants encountered virtual restaurant guests. Each guest was seated at a separate table with an object on it (e.g. a plate with salmon). The restaurant guest would then produce a sentence (e.g. “I just ordered this salmon.”). The noun in the spoken sentence could either match (“salmon”) or mismatch (“pasta”) with the object on the table, creating a situation in which the auditory information was either appropriate or inappropriate in the visual context. We observed a reliable N400 effect as a consequence of the mismatch. This finding validates the combined use of VR and EEG as a tool to study the neurophysiological mechanisms of everyday language comprehension in rich, ecologically valid settings.
  • Jescheniak, J. D., Levelt, W. J. M., & Meyer, A. S. (2003). Specific word frequency is not all that counts in speech production: Comments on Caramazza, Costa, et al. (2001) and new experimental data. Journal of Experimental Psychology: Learning, Memory, & Cognition, 29(3), 432-438. doi:10.1037/0278-7393.29.3.432.

    Abstract

    A. Caramazza, A. Costa, M. Miozzo, and Y. Bi(2001) reported a series of experiments demonstrating that the ease of producing a word depends only on the frequency of that specific word but not on the frequency of a homophone twin. A. Caramazza, A. Costa, et al. concluded that homophones have separate word form representations and that the absence of frequency-inheritance effects for homophones undermines an important argument in support of 2-stage models of lexical access, which assume that syntactic (lemma) representations mediate between conceptual and phonological representations. The authors of this article evaluate the empirical basis of this conclusion, report 2 experiments demonstrating a frequency-inheritance effect, and discuss other recent evidence. It is concluded that homophones share a common word form and that the distinction between lemmas and word forms should be upheld.
  • Meyer, A. S., Roelofs, A., & Levelt, W. J. M. (2003). Word length effects in object naming: The role of a response criterion. Journal of Memory and Language, 48(1), 131-147. doi:10.1016/S0749-596X(02)00509-0.

    Abstract

    According to Levelt, Roelofs, and Meyer (1999) speakers generate the phonological and phonetic representations of successive syllables of a word in sequence and only begin to speak after having fully planned at least one complete phonological word. Therefore, speech onset latencies should be longer for long than for short words. We tested this prediction in four experiments in which Dutch participants named or categorized objects with monosyllabic or disyllabic names. Experiment 1 yielded a length effect on production latencies when objects with long and short names were tested in separate blocks, but not when they were mixed. Experiment 2 showed that the length effect was not due to a difference in the ease of object recognition. Experiment 3 replicated the results of Experiment 1 using a within-participants design. In Experiment 4, the long and short target words appeared in a phrasal context. In addition to the speech onset latencies, we obtained the viewing times for the target objects, which have been shown to depend on the time necessary to plan the form of the target names. We found word length effects for both dependent variables, but only when objects with short and long names were presented in separate blocks. We argue that in pure and mixed blocks speakers used different response deadlines, which they tried to meet by either generating the motor programs for one syllable or for all syllables of the word before speech onset. Computer simulations using WEAVER++ support this view.

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