Many theories of complex cognitive-motor skill learning are built on the notion that basic cognitive processes group actions into easy-to-perform sequences. The present work examines predictions derived from laboratory-based studies of motor chunking and motor preparation using data collected from the real-time strategy video game StarCraft 2. We examined 996,163 action sequences in the telemetry data of 3,317 players across seven levels of skill. As predicted, the latency to the first action (thought to be the beginning of a chunked sequence) is delayed relative to the other actions in the group. Other predictions, inspired by the memory drum theory of Henry and Rogers, received only weak support.

Download full-text PDF

Source
http://dx.doi.org/10.1111/tops.12254DOI Listing

Publication Analysis

Top Keywords

video game
8
telemetry data
8
motor chunking
8
complex cognitive-motor
8
cognitive-motor skill
8
skill learning
8
game telemetry
4
data motor
4
chunking action
4
action latencies
4

Similar Publications

The Development and Validation of the Adolescent Problematic Gaming Scale (PGS-Adolescent).

Behav Sci (Basel)

December 2024

School of Foreign Languages and Literatures, Chongqing Normal University, Chongqing 401331, China.

This study aims to develop and validate the Adolescent Problematic Gaming Scale (PGS-Adolescent). Following established scientific protocols, we developed an initial version of the PGS-Adolescent scale and validated it using data from 448 valid survey responses collected from adolescents in China. The dataset was split into two parts: 225 responses were allocated for exploratory factor analysis (EFA), and 223 for confirmatory factor analysis (CFA).

View Article and Find Full Text PDF

Clinical validation of an individualized auto-adaptative serious game for combined cognitive and upper limb motor robotic rehabilitation after stroke.

J Neuroeng Rehabil

January 2025

Secteur des Sciences de la Santé, Institut de Recherche Expérimentale et Clinique, Neuro Musculo Skeletal Lab (NMSK), UCLouvain, Avenue Mounier 53, 1200, Brussels, Belgium.

Background: Intensive rehabilitation through challenging and individualized tasks are recommended to enhance upper limb recovery after stroke. Robot-assisted therapy (RAT) and serious games could be used to enhance functional recovery by providing simultaneous motor and cognitive rehabilitation.

Objective: The aim of this study is to clinically validate the dynamic difficulty adjustment (DDA) mechanism of ROBiGAME, a robot serious game designed for simultaneous rehabilitation of motor impairments and hemispatial neglect.

View Article and Find Full Text PDF

Objective: Problematic media use (PMU) is addiction-like media use. No study has examined if genetic factors for addiction relate to PMU during childhood. This study tested the association between genetic risk factors for addiction and PMU among 9-to-12-year-olds.

View Article and Find Full Text PDF

This paper presents a synthetic dataset of labeled game situations in recordings of federated handball and basketball matches played in Galicia, Spain. The dataset consists of synthetic data generated from real video frames, including 308,805 labeled handball frames and 56,578 labeled basketball frames extracted from 2105 handball and 383 basketball 5-s video clips. Experts manually labeled the video clips based on the respective sports, while the individual frames were automatically labeled using computer vision and machine learning techniques.

View Article and Find Full Text PDF

Background: Hybridization between evolutionary lineages has profound impacts on the fitness and ecology of hybrid progeny. In extreme cases, the effects of hybridization can transcend ecological timescales by introducing trait novelty upon which evolution can act. Indeed, hybridization can even have macroevolutionary consequences, for example, as a driver of adaptive radiations and evolutionary innovations.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!