Javascript must be enabled to continue!
Repetition costs in sequence chunking
View through CrossRef
AbstractWe examined how flexibly we plan sequences of actions when we switch between multiple action sequences. Mastering a sequential skill is assumed to involve integrating successive actions into groups known as chunks that can be efficiently planned and smoothly executed. Chunking is suggested by gains in planning efficiency for long compared to short action sequences following practice and learning associations between actions and perceptual outcomes. Less is understood about how efficiently we plan sequential chunks when we switch between multiple action sequences. Do we plan learned chunks less efficiently when we switch to a different action sequence? We examined this question by comparing the initiation and execution latencies of long versus short action sequences, performed from memory, when sequences switched or repeated across trials. Additionally, each action within the sequences generated predictable perceptual outcomes that were either spatially compatible or spatially incompatible with the action sequences. Results suggested repetition costs (instead of benefits) when performing long sequences. Repetition, as opposed to switching, prolonged initiation and increased the error rate of long compared to short sequences. We attribute these results to the flexible coordination of chunk planning and execution. Repetition may prolong advanced planning of long sequences in order to resolve conflict between multiple chunks, and switching may allow the planning of later chunks to be postponed until execution. We propose that the chunking of action sequences can both facilitate and interfere with action-switching performance.
Springer Science and Business Media LLC
Title: Repetition costs in sequence chunking
Description:
AbstractWe examined how flexibly we plan sequences of actions when we switch between multiple action sequences.
Mastering a sequential skill is assumed to involve integrating successive actions into groups known as chunks that can be efficiently planned and smoothly executed.
Chunking is suggested by gains in planning efficiency for long compared to short action sequences following practice and learning associations between actions and perceptual outcomes.
Less is understood about how efficiently we plan sequential chunks when we switch between multiple action sequences.
Do we plan learned chunks less efficiently when we switch to a different action sequence? We examined this question by comparing the initiation and execution latencies of long versus short action sequences, performed from memory, when sequences switched or repeated across trials.
Additionally, each action within the sequences generated predictable perceptual outcomes that were either spatially compatible or spatially incompatible with the action sequences.
Results suggested repetition costs (instead of benefits) when performing long sequences.
Repetition, as opposed to switching, prolonged initiation and increased the error rate of long compared to short sequences.
We attribute these results to the flexible coordination of chunk planning and execution.
Repetition may prolong advanced planning of long sequences in order to resolve conflict between multiple chunks, and switching may allow the planning of later chunks to be postponed until execution.
We propose that the chunking of action sequences can both facilitate and interfere with action-switching performance.
Related Results
Chunking in the Second Language: Implications for Language Learning and Teaching
Chunking in the Second Language: Implications for Language Learning and Teaching
Among the various challenges that adult and other late language learners face on their journey to achieving nativelike proficiency, chunking has been identified as one of the most ...
Ensemble Model for Chunking
Ensemble Model for Chunking
Transformer Models have taken over most of the Natural language Inference tasks. In recent times they have proved to beat several benchmarks. Chunking means splitting the sentences...
Chunking sequence information by mutually predicting recurrent neural networks
Chunking sequence information by mutually predicting recurrent neural networks
AbstractInterpretation and execution of complex sequences is crucial for various cognitive tasks such as language processing and motor control. The brain solves this problem arguab...
Femtosecond Laser Machining At Submicron And Nano Scale
Femtosecond Laser Machining At Submicron And Nano Scale
The arrival of the femtosecond laser with a MHz repetition rate has provided the industry with a new tool to conduct submicron and nano scale machining. Several advantages such as ...
Femtosecond Laser Machining At Submicron And Nano Scale
Femtosecond Laser Machining At Submicron And Nano Scale
The arrival of the femtosecond laser with a MHz repetition rate has provided the industry with a new tool to conduct submicron and nano scale machining. Several advantages such as ...
EFFECT OF THE INTER-REPETITION REST LENGTH IN THE CAPACITY TO REPEAT PEAK POWER OUTPUT
EFFECT OF THE INTER-REPETITION REST LENGTH IN THE CAPACITY TO REPEAT PEAK POWER OUTPUT
BackgroundHigh volumes of work affect the movement technical quality, reducing the muscular capacity to develop high magnitudes of force. One of the most important parameters that ...
Arbitrary repetition-rate control of periodic optical pulse trains based on a phase modulator cascaded with an optical tapped delay line structure
Arbitrary repetition-rate control of periodic optical pulse trains based on a phase modulator cascaded with an optical tapped delay line structure
Abstract
We propose a novel method to achieve arbitrary repetition-rate control of periodic optical pulse train. The scheme is based on the combination of a phase modulator...

