Esports involves individuals or teams of players who compete in video game competitions through human-computer interactions. Currently, there is limited research that assesses expertise in esports. The present study applied the expert performance approach to understand the domain-general, perceptual-motor abilities that discriminate skill level in esports. Seventy-five participants (age = 24.2 ± 4.2 y) from three skill levels (professional, recreational, and control) completed assessments to determine their manual dexterity, speed-accuracy trade-off, and processing ability. A significant multivariate effect was identified for skill level on players' domain-general, perceptual-motor abilities (F(18,128) = 3.87, p < 0.001, ηp2 = 0.35). Univariate effects were evident for movement time (F(2,72) = 26.48, p < 0.001, ηp2 = 0.42), two-choice response time (F(2,72) = 3.43, p = 0.038, ηp2 = 0.09), congruent response time (F(2,72) = 4.92, p = 0.010, ηp2 = 0.12) and incongruent response time (F(2,72) = 3.20, p = 0.047, ηp2 = 0.08). Professional esports were less susceptible to a speed-accuracy trade-off than their lesser-skilled counterparts. Furthermore, professional esports players had a faster two-choice response time and were better at ignoring pre-cues when compared with the control group. Overall, these findings demonstrated that some perceptual-motor abilities underpin esports expertise
Conference presentation
Domain-general, perceptual-motor abilities underlying expertise in esports
Australasian Skill Acquisition Network (ASAN) Conference (Cambridge, New Zealand, 22/11/2019 - 23/11/2019)
22/11/2019
Metrics
66 Record Views
Abstract
Details
- Title
- Domain-general, perceptual-motor abilities underlying expertise in esports
- Creators
- M A Pluss - University of Technology SydneyA R Novak - University of Technology SydneyK JM Bennett - Southern Cross UniversityD Panchuk - Victoria UniversityA J Coutts - University of Technology SydneyJ Fransen - University of Technology Sydney
- Conference
- Australasian Skill Acquisition Network (ASAN) Conference (Cambridge, New Zealand, 22/11/2019 - 23/11/2019)
- Identifiers
- 991012855897602368
- Academic Unit
- Human Sciences; Faculty of Health; School of Health and Human Sciences
- Resource Type
- Conference presentation