Falk Huettig

Publications

Displaying 1 - 20 of 20
  • Huettig, F., Kolinsky, R., & Lachmann, T. (2018). The culturally co-opted brain: How literacy affects the human mind. Language, Cognition and Neuroscience, 33(3), 275-277. doi:10.1080/23273798.2018.1425803.

    Abstract

    Introduction to the special issue 'The Effects of Literacy on Cognition and Brain Functioning'
  • Huettig, F., Kolinsky, R., & Lachmann, T. (Eds.). (2018). The effects of literacy on cognition and brain functioning [Special Issue]. Language, Cognition and Neuroscience, 33(3).
  • Huettig, F., Lachmann, T., Reis, A., & Petersson, K. M. (2018). Distinguishing cause from effect - Many deficits associated with developmental dyslexia may be a consequence of reduced and suboptimal reading experience. Language, Cognition and Neuroscience, 33(3), 333-350. doi:10.1080/23273798.2017.1348528.

    Abstract

    The cause of developmental dyslexia is still unknown despite decades of intense research. Many causal explanations have been proposed, based on the range of impairments displayed by affected individuals. Here we draw attention to the fact that many of these impairments are also shown by illiterate individuals who have not received any or very little reading instruction. We suggest that this fact may not be coincidental and that the performance differences of both illiterates and individuals with dyslexia compared to literate controls are, to a substantial extent, secondary consequences of either reduced or suboptimal reading experience or a combination of both. The search for the primary causes of reading impairments will make progress if the consequences of quantitative and qualitative differences in reading experience are better taken into account and not mistaken for the causes of reading disorders. We close by providing four recommendations for future research.
  • Mani, N., Mishra, R. K., & Huettig, F. (Eds.). (2018). The interactive mind: Language, vision and attention. Chennai: Macmillan Publishers India.
  • Mani, N., Mishra, R. K., & Huettig, F. (2018). Introduction to 'The Interactive Mind: Language, Vision and Attention'. In N. Mani, R. K. Mishra, & F. Huettig (Eds.), The Interactive Mind: Language, Vision and Attention (pp. 1-2). Chennai: Macmillan Publishers India.
  • Mitterer, H., Brouwer, S., & Huettig, F. (2018). How important is prediction for understanding spontaneous speech? In N. Mani, R. K. Mishra, & F. Huettig (Eds.), The Interactive Mind: Language, Vision and Attention (pp. 26-40). Chennai: Macmillan Publishers India.
  • Nieuwland, M. S., Politzer-Ahles, S., Heyselaar, E., Segaert, K., Darley, E., Kazanina, N., Von Grebmer Zu Wolfsthurn, S., Bartolozzi, F., Kogan, V., Ito, A., Mézière, D., Barr, D. J., Rousselet, G., Ferguson, H. J., Busch-Moreno, S., Fu, X., Tuomainen, J., Kulakova, E., Husband, E. M., Donaldson, D. I. and 3 moreNieuwland, M. S., Politzer-Ahles, S., Heyselaar, E., Segaert, K., Darley, E., Kazanina, N., Von Grebmer Zu Wolfsthurn, S., Bartolozzi, F., Kogan, V., Ito, A., Mézière, D., Barr, D. J., Rousselet, G., Ferguson, H. J., Busch-Moreno, S., Fu, X., Tuomainen, J., Kulakova, E., Husband, E. M., Donaldson, D. I., Kohút, Z., Rueschemeyer, S.-A., & Huettig, F. (2018). Large-scale replication study reveals a limit on probabilistic prediction in language comprehension. eLife, 7: e33468. doi:10.7554/eLife.33468.

    Abstract

    Do people routinely pre-activate the meaning and even the phonological form of upcoming words? The most acclaimed evidence for phonological prediction comes from a 2005 Nature Neuroscience publication by DeLong, Urbach and Kutas, who observed a graded modulation of electrical brain potentials (N400) to nouns and preceding articles by the probability that people use a word to continue the sentence fragment (‘cloze’). In our direct replication study spanning 9 laboratories (N=334), pre-registered replication-analyses and exploratory Bayes factor analyses successfully replicated the noun-results but, crucially, not the article-results. Pre-registered single-trial analyses also yielded a statistically significant effect for the nouns but not the articles. Exploratory Bayesian single-trial analyses showed that the article-effect may be non-zero but is likely far smaller than originally reported and too small to observe without very large sample sizes. Our results do not support the view that readers routinely pre-activate the phonological form of predictable words.

    Additional information

    Data sets
  • Ostarek, M., Ishag, I., Joosen, D., & Huettig, F. (2018). Saccade trajectories reveal dynamic interactions of semantic and spatial information during the processing of implicitly spatial words. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44(10), 1658-1670. doi:10.1037/xlm0000536.

    Abstract

    Implicit up/down words, such as bird and foot, systematically influence performance on visual tasks involving immediately following targets in compatible vs. incompatible locations. Recent studies have observed that the semantic relation between prime words and target pictures can strongly influence the size and even the direction of the effect: Semantically related targets are processed faster in congruent vs. incongruent locations (location-specific priming), whereas unrelated targets are processed slower in congruent locations. Here, we used eye-tracking to investigate the moment-to-moment processes underlying this pattern. Our reaction time results for related targets replicated the location-specific priming effect and showed a trend towards interference for unrelated targets. We then used growth curve analysis to test how up/down words and their match vs. mismatch with immediately following targets in terms of semantics and vertical location influences concurrent saccadic eye movements. There was a strong main effect of spatial association on linear growth with up words biasing changes in y-coordinates over time upwards relative to down words (and vice versa). Similar to the RT data, this effect was strongest for semantically related targets and reversed for unrelated targets. Intriguingly, all conditions showed a bias in the congruent direction in the initial stage of the saccade. Then, at around halfway into the saccade the effect kept increasing in the semantically related condition, and reversed in the unrelated condition. These results suggest that online processing of up/down words triggers direction-specific oculomotor processes that are dynamically modulated by the semantic relation between prime words and targets.
  • Hartsuiker, R. J., Huettig, F., & Olivers, C. N. (Eds.). (2011). Visual search and visual world: Interactions among visual attention, language, and working memory [Special Issue]. Acta Psychologica, 137(2). doi:10.1016/j.actpsy.2011.01.005.
  • Hartsuiker, R. J., Huettig, F., & Olivers, C. N. (2011). Visual search and visual world: Interactions among visual attention, language, and working memory (introduction to the special issue). Acta Psychologica, 137(2), 135-137. doi:10.1016/j.actpsy.2011.01.005.
  • Huettig, F., & McQueen, J. M. (2011). The nature of the visual environment induces implicit biases during language-mediated visual search. Memory & Cognition, 39, 1068-1084. doi:10.3758/s13421-011-0086-z.

    Abstract

    Four eye-tracking experiments examined whether semantic and visual-shape representations are routinely retrieved from printed-word displays and used during language-mediated visual search. Participants listened to sentences containing target words which were similar semantically or in shape to concepts invoked by concurrently-displayed printed words. In Experiment 1 the displays contained semantic and shape competitors of the targets, and two unrelated words. There were significant shifts in eye gaze as targets were heard towards semantic but not shape competitors. In Experiments 2-4, semantic competitors were replaced with unrelated words, semantically richer sentences were presented to encourage visual imagery, or participants rated the shape similarity of the stimuli before doing the eye-tracking task. In all cases there were no immediate shifts in eye gaze to shape competitors, even though, in response to the Experiment 1 spoken materials, participants looked to these competitors when they were presented as pictures (Huettig & McQueen, 2007). There was a late shape-competitor bias (more than 2500 ms after target onset) in all experiments. These data show that shape information is not used in online search of printed-word displays (whereas it is used with picture displays). The nature of the visual environment appears to induce implicit biases towards particular modes of processing during language-mediated visual search.
  • Huettig, F. (2011). The role of color during language-vision interactions. In R. K. Mishra, & N. Srinivasan (Eds.), Language-Cognition interface: State of the art (pp. 93-113). München: Lincom.
  • Huettig, F., Rommers, J., & Meyer, A. S. (2011). Using the visual world paradigm to study language processing: A review and critical evaluation. Acta Psychologica, 137, 151-171. doi:10.1016/j.actpsy.2010.11.003.

    Abstract

    We describe the key features of the visual world paradigm and review the main research areas where it has been used. In our discussion we highlight that the paradigm provides information about the way language users integrate linguistic information with information derived from the visual environment. Therefore the paradigm is well suited to study one of the key issues of current cognitive psychology, namely the interplay between linguistic and visual information processing. However, conclusions about linguistic processing (e.g., about activation, competition, and timing of access of linguistic representations) in the absence of relevant visual information must be drawn with caution.
  • Huettig, F., & Altmann, G. (2011). Looking at anything that is green when hearing ‘frog’: How object surface colour and stored object colour knowledge influence language-mediated overt attention. Quarterly Journal of Experimental Psychology, 64(1), 122-145. doi:10.1080/17470218.2010.481474.

    Abstract

    Three eye-tracking experiments investigated the influence of stored colour knowledge, perceived surface colour, and conceptual category of visual objects on language-mediated overt attention. Participants heard spoken target words whose concepts are associated with a diagnostic colour (e.g., "spinach"; spinach is typically green) while their eye movements were monitored to (a) objects associated with a diagnostic colour but presented in black and white (e.g., a black-and-white line drawing of a frog), (b) objects associated with a diagnostic colour but presented in an appropriate but atypical colour (e.g., a colour photograph of a yellow frog), and (c) objects not associated with a diagnostic colour but presented in the diagnostic colour of the target concept (e.g., a green blouse; blouses are not typically green). We observed that colour-mediated shifts in overt attention are primarily due to the perceived surface attributes of the visual objects rather than stored knowledge about the typical colour of the object. In addition our data reveal that conceptual category information is the primary determinant of overt attention if both conceptual category and surface colour competitors are copresent in the visual environment.
  • Huettig, F., Olivers, C. N. L., & Hartsuiker, R. J. (2011). Looking, language, and memory: Bridging research from the visual world and visual search paradigms. Acta Psychologica, 137, 138-150. doi:10.1016/j.actpsy.2010.07.013.

    Abstract

    In the visual world paradigm as used in psycholinguistics, eye gaze (i.e. visual orienting) is measured in order to draw conclusions about linguistic processing. However, current theories are underspecified with respect to how visual attention is guided on the basis of linguistic representations. In the visual search paradigm as used within the area of visual attention research, investigators have become more and more interested in how visual orienting is affected by higher order representations, such as those involved in memory and language. Within this area more specific models of orienting on the basis of visual information exist, but they need to be extended with mechanisms that allow for language-mediated orienting. In the present paper we review the evidence from these two different – but highly related – research areas. We arrive at a model in which working memory serves as the nexus in which long-term visual as well as linguistic representations (i.e. types) are bound to specific locations (i.e. tokens or indices). The model predicts that the interaction between language and visual attention is subject to a number of conditions, such as the presence of the guiding representation in working memory, capacity limitations, and cognitive control mechanisms.
  • Huettig, F., Singh, N., & Mishra, R. K. (2011). Language-mediated visual orienting behavior in low and high literates. Frontiers in Psychology, 2: e285. doi:10.3389/fpsyg.2011.00285.

    Abstract

    The influence of formal literacy on spoken language-mediated visual orienting was investigated by using a simple look and listen task (cf. Huettig & Altmann, 2005) which resembles every day behavior. In Experiment 1, high and low literates listened to spoken sentences containing a target word (e.g., 'magar', crocodile) while at the same time looking at a visual display of four objects (a phonological competitor of the target word, e.g., 'matar', peas; a semantic competitor, e.g., 'kachuwa', turtle, and two unrelated distractors). In Experiment 2 the semantic competitor was replaced with another unrelated distractor. Both groups of participants shifted their eye gaze to the semantic competitors (Experiment 1). In both experiments high literates shifted their eye gaze towards phonological competitors as soon as phonological information became available and moved their eyes away as soon as the acoustic information mismatched. Low literates in contrast only used phonological information when semantic matches between spoken word and visual referent were impossible (Experiment 2) but in contrast to high literates these phonologically-mediated shifts in eye gaze were not closely time-locked to the speech input. We conclude that in high literates language-mediated shifts in overt attention are co-determined by the type of information in the visual environment, the timing of cascaded processing in the word- and object-recognition systems, and the temporal unfolding of the spoken language. Our findings indicate that low literates exhibit a similar cognitive behavior but instead of participating in a tug-of-war among multiple types of cognitive representations, word-object mapping is achieved primarily at the semantic level. If forced, for instance by a situation in which semantic matches are not present (Experiment 2), low literates may on occasion have to rely on phonological information but do so in a much less proficient manner than their highly literate counterparts.
  • Johnson, E., McQueen, J. M., & Huettig, F. (2011). Toddlers’ language-mediated visual search: They need not have the words for it. The Quarterly Journal of Experimental Psychology, 64, 1672-1682. doi:10.1080/17470218.2011.594165.

    Abstract

    Eye movements made by listeners during language-mediated visual search reveal a strong link between
    visual processing and conceptual processing. For example, upon hearing the word for a missing referent
    with a characteristic colour (e.g., “strawberry”), listeners tend to fixate a colour-matched distractor (e.g.,
    a red plane) more than a colour-mismatched distractor (e.g., a yellow plane). We ask whether these
    shifts in visual attention are mediated by the retrieval of lexically stored colour labels. Do children
    who do not yet possess verbal labels for the colour attribute that spoken and viewed objects have in
    common exhibit language-mediated eye movements like those made by older children and adults?
    That is, do toddlers look at a red plane when hearing “strawberry”? We observed that 24-montholds
    lacking colour term knowledge nonetheless recognized the perceptual–conceptual commonality
    between named and seen objects. This indicates that language-mediated visual search need not
    depend on stored labels for concepts.
  • Johnson, E. K., & Huettig, F. (2011). Eye movements during language-mediated visual search reveal a strong link between overt visual attention and lexical processing in 36-months-olds. Psychological Research, 75, 35-42. doi:10.1007/s00426-010-0285-4.

    Abstract

    The nature of children’s early lexical processing was investigated by asking what information 36-month-olds access and use when instructed to find a known but absent referent. Children readily retrieved stored knowledge about characteristic color, i.e. when asked to find an object with a typical color (e.g. strawberry), children tended to fixate more upon an object that had the same (e.g. red plane) as opposed to a different (e.g. yellow plane) color. They did so regardless of the fact that they have had plenty of time to recognize the pictures for what they are, i.e. planes not strawberries. These data represent the first demonstration that language-mediated shifts of overt attention in young children can be driven by individual stored visual attributes of known words that mismatch on most other dimensions. The finding suggests that lexical processing and overt attention are strongly linked from an early age.
  • Huettig, F., & Hartsuiker, R. J. (2008). When you name the pizza you look at the coin and the bread: Eye movements reveal semantic activation during word production. Memory & Cognition, 36(2), 341-360. doi:10.3758/MC.36.2.341.

    Abstract

    Two eyetracking experiments tested for activation of category coordinate and perceptually related concepts when speakers prepare the name of an object. Speakers saw four visual objects in a 2 × 2 array and identified and named a target picture on the basis of either category (e.g., "What is the name of the musical instrument?") or visual-form (e.g., "What is the name of the circular object?") instructions. There were more fixations on visual-form competitors and category coordinate competitors than on unrelated objects during name preparation, but the increased overt attention did not affect naming latencies. The data demonstrate that eye movements are a sensitive measure of the overlap between the conceptual (including visual-form) information that is accessed in preparation for word production and the conceptual knowledge associated with visual objects. Furthermore, these results suggest that semantic activation of competitor concepts does not necessarily affect lexical selection, contrary to the predictions of lexical-selection-by-competition accounts (e.g., Levelt, Roelofs, & Meyer, 1999).
  • Majid, A., & Huettig, F. (2008). A crosslinguistic perspective on semantic cognition [commentary on Precis of Semantic cognition: A parallel distributed approach by Timothy T. Rogers and James L. McClelland]. Behavioral and Brain Sciences, 31(6), 720-721. doi:10.1017/S0140525X08005967.

    Abstract

    Coherent covariation appears to be a powerful explanatory factor accounting for a range of phenomena in semantic cognition. But its role in accounting for the crosslinguistic facts is less clear. Variation in naming, within the same semantic domain, raises vexing questions about the necessary parameters needed to account for the basic facts underlying categorization.

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