Paying Attention to Speech: The Role of Cognitive Capacity and Acquired Experience
Lambez, B.; Agmon, G.; Har-shai, P.; Rassovsky, Y.; Zion Golumbic, E.
Show abstract
Managing attention in multi-speaker environments is a challenging feat that is critical for human performance. However, why some people are better than others in allocating attention appropriately, remains highly unknown. Here we investigated the contribution of two factors - Cognitive Capacity and Acquired Experience - to performance on two different types of Attention task: Selective Attention to one speaker and Distributed Attention among multiple concurrent speakers. We compared performance across three groups: Individuals with low (n=20) and high cognitive capacity (n=26), and Aircraft Pilots (n=25), who have gained extensive experience on both Selective and Distributed attention to speech through their training and profession. Results indicate that both types of Attention benefit from higher Cognitive Capacity, suggesting reliance on common capacity-limited resources. However, only Selective Attention was further improved in the Pilots, pointing to its flexible and trainable nature, whereas Distributed Attention seems to suffer from more fixed and hard-wired processing-bottlenecks.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Top-down modulation of neural envelope tracking: the interplay with behavioral, self-reported and neural measures of listening effort 96%
- Speech auditory-motor adaptation lacks an explicit component: reduced adaptation in adults who stutter reflects limitations in implicit sensorimotor learning. 96%
- Sounds and Sights in Sequence Learning: Can Accessory Auditory Cues Enhance Motor Task Performance? 95%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.