Falk Huettig


Displaying 1 - 17 of 17
  • Favier, S., Meyer, A. S., & Huettig, F. (2018). How does literacy influence syntactic processing in spoken language?. Talk presented at Psycholinguistics in Flanders (PiF 2018). Gent, Belgium. 2018-06-04 - 2018-06-05.
  • Garrido Rodriguez, G., Huettig, F., Norcliffe, E., Brown, P., & Levinson, S. C. (2018). Participant assignment to thematic roles in Tzeltal: Eye tracking evidence from sentence comprehension in a verb-initial language. Talk presented at Architectures and Mechanisms for Language Processing (AMLaP 2018). Berlin, Germany. 2018-09-06 - 2018-09-08.
  • Huettig, F. (2018). How learning to read changes mind and brain [keynote]. Talk presented at Architectures and Mechanisms for Language Processing-Asia (AMLaP-Asia 2018). Telangana, India. 2018-02-01 - 2018-02-03.
  • Hintz, F., & Huettig, F. (2012). Phonological word-object mapping is contingent upon the nature of the visual environment. Talk presented at Psycholinguistics in Flanders goes Dutch [PiF 2012]. Berg en Dal (NL). 2012-06-06 - 2012-06-07.
  • Huettig, F. (2012). Literacy modulates language-mediated visual attention and prediction. Talk presented at the Center of Excellence Cognitive Interaction Technology (CITEC). Bielefeld, Germany. 2012-01-12.
  • Huettig, F., Singh, N., Singh, S., & Mishra, R. K. (2012). Language-mediated prediction is related to reading ability and formal literacy. Talk presented at the Tagung experimentell arbeitender Psychologen [TeaP 2012]. Mannheim, Germany. 2012-04-04 - 2012-04-06.
  • Huettig, F. (2012). The nature and mechanisms of language-mediated anticipatory eye movements. Talk presented at the International symposium: The Attentive Listener in the Visual world: The Interaction of Language, Attention,Memory, and Vision. Allahabad, India. 2012-10-05 - 2012-10-06.
  • Mani, N., & Huettig, F. (2012). Toddlers anticipate that we EAT cake. Talk presented at the Tagung experimentell arbeitender Psychologen [TeaP 2012]. Mannheim, Germany. 2012-04-04 - 2012-04-06.
  • Rommers, J., Meyer, A. S., Praamstra, P., & Huettig, F. (2012). Object shape representations in the contents of predictions for upcoming words. Talk presented at Psycholinguistics in Flanders [PiF 2012]. Berg en Dal, The Netherlands. 2012-06-06 - 2012-06-07.
  • Rommers, J., Meyer, A. S., & Huettig, F. (2012). Predicting upcoming meaning involves specific contents and domain-general mechanisms. Talk presented at the 18th Annual Conference on Architectures and Mechanisms for Language Processing [AMLaP 2012]. Riva del Garda, Italy. 2012-09-06 - 2012-09-08.


    In sentence comprehension, readers and listeners often anticipate upcoming information (e.g., Altmann & Kamide, 1999). We investigated two aspects of this process, namely 1) what is pre-activated when anticipating an upcoming word (the contents of predictions), and 2) which cognitive mechanisms are involved. The contents of predictions at the level of meaning could be restricted to functional semantic attributes (e.g., edibility; Altmann & Kamide, 1999). However, when words are processed other types of information can also be activated, such as object shape representations. It is unknown whether this type of information is already activated when upcoming words are predicted. Forty-five adult participants listened to predictable words in sentence contexts (e.g., "In 1969 Neil Armstrong was the first man to set foot on the moon.") while looking at visual displays of four objects. Their eye movements were recorded. There were three conditions: target present (e.g., a moon and three distractor objects that were unrelated to the predictable word in terms of semantics, shape, and phonology), shape competitor (e.g., a tomato and three unrelated distractors), and distractors only (e.g., rice and three other unrelated objects). Across lists, the same pictures and sentences were used in the different conditions. We found that participants already showed a significant bias for the target object (moon) over unrelated distractors several seconds before the target was mentioned, demonstrating that they were predicting. Importantly, there was also a smaller but significant shape competitor (tomato) preference starting at about a second before critical word onset, consistent with predictions involving the referent’s shape. The mechanisms of predictions could be specific to language tasks, or language could use processing principles that are also used in other domains of cognition. We investigated whether performance in non-linguistic prediction is related to prediction in language processing, taking an individual differences approach. In addition to the language processing task, the participants performed a simple cueing task (after Posner, Nissen, & Ogden, 1978). They pressed one of two buttons (left/right) to indicate the location of an X symbol on the screen. On half of the trials, the X was preceded by a neutral cue (+). On the other half, an arrow cue pointing left (<) or right (>) indicated the upcoming X's location with 80% validity (i.e., the arrow cue was correct 80% of the time). The SOA between cue and target was 500 ms. Prediction was quantified as the mean response latency difference between the neutral and valid condition. This measure correlated positively with individual participants' anticipatory target and shape competitor preference (r = .27; r = .45), and was a significant predictor of anticipatory looks in linear mixed-effects regression models of the data. Participants who showed more facilitation from the arrow cues predicted to a higher degree in the linguistic task. This suggests that prediction in language processing may use mechanisms that are also used in other domains of cognition. References Altmann, G. T. M., & Kamide, Y. (1999). Incremental interpretation at verbs: Restricting the domain of subsequent reference. Cognition, 73(3), 247-264. Posner, M. I., Nissen, M. J., & Ogden, W. C. (1978). Attended and unattended processing modes: The role of set for spatial location. In: H.L. Pick, & I.J. Saltzman (Eds.), Modes of perceiving and processing information. Hillsdale, N.J.: Lawrence Erlbaum Associates.
  • Rommers, J., Meyer, A. S., Praamstra, P., & Huettig, F. (2012). The content of predictions: Involvement of object shape representations in the anticipation of upcoming words. Talk presented at the Tagung experimentell arbeitender Psychologen [TeaP 2012]. Mannheim, Germany. 2012-04-04 - 2012-04-06.
  • Smith, A. C., Huettig, F., & Monaghan, P. (2012). Modelling multimodal interaction in language mediated eye gaze. Talk presented at the 13th Neural Computation and Psychology Workshop [NCPW13]. San Sebastian, Spain. 2012-07-12 - 2012-07-14.


    Hub-and-spoke models of semantic processing which integrate modality specific information within a central resource have proven successful in capturing a range of neuropsychological phenomena (Rogers et al, 2004; Dilkina et al, 2008). Within our study we investigate whether the scope of the Hub-and-spoke architectural framework can be extended to capture behavioural phenomena in other areas of cognition. The visual world paradigm (VWP) has contributed significantly to our understanding of the information and processes involved in spoken word recognition. In particular it has highlighted the importance of non-linguistic influences during language processing, indicating that combined information from vision, phonology, and semantics is evident in performance on such tasks (see Huettig, Rommers & Meyer, 2011). Huettig & McQueen (2007) demonstrated that participants’ fixations to objects presented within a single visual display varied systematically according to their phonological, semantic and visual relationship to a spoken target word. The authors argue that only an explanation allowing for influence from all three knowledge types is capable of accounting for the observed behaviour. To date computational models of the VWP (Allopenna et al, 1998; Mayberry et al, 2009; Kukona et al, 2011) have focused largely on linguistic aspects of the task and have therefore been unable to offer explanations for the growing body of experimental evidence emphasising the influence of non-linguistic information on spoken word recognition. Our study demonstrates that an emergent connectionist model, based on the Hub-and-spoke models of semantic processing, which integrates visual, phonological and functional information within a central resource, is able to capture the intricate time course dynamics of eye fixation behaviour reported in Huettig & McQueen (2007). Our findings indicate that such language mediated visual attention phenomena can emerge largely due to the statistics of the problem domain and may not require additional domain specific processing constraints.
  • Smith, A. C., Huettig, F., & Monaghan, P. (2012). The Tug of War during spoken word recognition in our visual worlds. Talk presented at Psycholinguistics in Flanders 2012 [[PiF 2012]. Berg en Dal, NL. 2012-06-06 - 2012-06-07.
  • Huettig, F., & McQueen, J. M. (2009). AM radio noise changes the dynamics of spoken word recognition. Talk presented at 15th Annual Conference on Architectures and Mechanisms for Language Processing (AMLaP 2009). Barcelona, Spain. 2009-09-09.


    Language processing does not take place in isolation from the sensory environment. Listeners are able to recognise spoken words in many different situations, ranging from carefully articulated and noise-free laboratory speech, through casual conversational speech in a quiet room, to degraded conversational speech in a busy train-station. For listeners to be able to recognize speech optimally in each of these listening situations, they must be able to adapt to the constraints of each situation. We investigated this flexibility by comparing the dynamics of the spoken-word recognition process in clear speech and speech disrupted by radio noise. In Experiment 1, Dutch participants listened to clearly articulated spoken Dutch sentences which each included a critical word while their eye movements to four visual objects presented on a computer screen were measured. There were two critical conditions. In the first, the objects included a cohort competitor (e.g., parachute, “parachute”) with the same onset as the critical spoken word (e.g., paraplu, “umbrella”) and three unrelated distractors. In the second condition, a rhyme competitor (e.g., hamer, “hammer”) of the critical word (e.g., kamer, “room”) was present in the display, again with three distractors. To maximize competitor effects pictures of the critical words themselves were not present in the displays on the experimental trials (e.g.,there was no umbrella in the display with the 'paraplu' sentence) and a passive listening task was used (Huettig McQueen, 2007). Experiment 2 was identical to Experiment 1 except that phonemes in the spoken sentences were replaced with radio-signal noises (as in AM radio listening conditions). In each sentence, two,three or four phonemes were replaced with noises. The sentential position of these replacements was unpredictable, but the adjustments were always made to onset phonemes. The critical words (and the immediately surrounding words) were not changed. The question was whether listeners could learn that, under these circumstances, onset information is less reliable. We predicted that participants would look less at the cohort competitors (the initial match to the competitor is less good) and more at the rhyme competitors (the initial mismatch is less bad). We observed a significant experiment by competitor type interaction. In Experiment 1 participants fixated both kinds competitors more than unrelated distractors, but there were more and earlier looks to cohort competitors than to rhyme competitors (Allopenna et al., 1998). In Experiment 2 participants still fixated cohort competitors more than rhyme competitors but the early cohort effect was reduced and the rhyme effect was stronger and occurred earlier. These results suggest that AM radio noise changes the dynamics of spoken word recognition. The well-attested finding of stronger reliance on word onset overlap in speech recognition appears to be due in part to the use of clear speech in most experiments. When onset information becomes less reliable, listeners appear to depend on it less. A core feature of the speech-recognition system thus appears to be its flexibility. Listeners are able to adjust the perceptual weight they assign to different parts of incoming spoken language.
  • Huettig, F. (2009). Language-mediated visual search. Talk presented at Invited talk at VU Amsterdam. Amsterdam.
  • Huettig, F. (2009). On the use of distributional models of semantic space to investigate human cognition. Talk presented at Distributional Semantics beyond Concrete Concepts (Workshop at Annual Meeting of the Cognitive Science Society (CogSci 2009). Amsterdam, The Netherlands. 2009-07-29 - 2009-01-08.
  • Huettig, F. (2009). The role of colour during language-vision interactions. Talk presented at International Conference on Language-Cognition Interface 2009. Allahabad, India. 2009-12-06 - 2009-12-09.

Share this page