期刊论文详细信息
Frontiers in Neurorobotics
Integrating action and language through biased competition
Giovanni Ottoboni1  Ed Symes1  Mike Tucker1 
[1] University of Plymouth;
关键词: change detection;    action intentions;    Biased Competition;    language cues;    top-down and bottom-up interaction;   
DOI  :  10.3389/fnbot.2010.00009
来源: DOAJ
【 摘 要 】

Several recent psychological investigations have demonstrated that planning an action biases visual processing. Symes et al., (2008) for example, reported faster target detection for a changing object amongst several non-changing objects following the planning of a target-congruent grasp. The current experimental work investigated how this effect might compare to, and indeed integrate with, effects of language cues. Firstly a cuing effect was established in its own right using the same change-detection scenes. Sentences cued object size (e.g. “Start looking for a change in the larger objects”), and these successfully enhanced detection of size-congruent targets. Having thereby established two effective sources of bias (i.e. action primes and language cues), the remaining three experiments explored their co-occurrence within the same task. Thus an action prime (participants planned a power or precision grasp) and a language cue (a sentence) preceded stimulus presentation. Based on the tenets of the biased competition model (Desimone and Duncan, 1995), various predictions were made concerning the integration of these different biases. All predictions were supported by the data, and these included reliably stronger effects of language, and concurrent biasing effects that were mutually suppressive and additive.

【 授权许可】

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