The Effects of System Reliability and Task Uncertainty on Autonomous Unmanned Aerial Vehicle Operator Performance under High Time Pressure

Liu, Dahai; Jaramillo, Manuela; Vincenzi, Dennis A.

doi:10.1002/hfm.20565

Cited by 8 publications

(3 citation statements)

References 18 publications

(24 reference statements)

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“…The lead author had been part of the template development process and spent an average of 2 h to analyze each game. On any given day, a maximum of two games were analyzed in an attempt to reduce errors and a five-minute break was taken at the end of each quarter (Liu et al, 2015). Periodic assessment checks were conducted in an attempt to limit the overall loss of accuracy (Kazdin, 1977).…”

Section: Methodsmentioning

confidence: 99%

Making Every “Point” Count: Identifying the Key Determinants of Team Success in Elite Men’s Wheelchair Basketball

2019

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Wheelchair basketball coaches and researchers have typically relied on box score data and the Comprehensive Basketball Grading System to inform practice, however, these data do not acknowledge how the dynamic perspectives of teams change, vary and adapt during possessions in relation to the outcome of a game. Therefore, this study aimed to identify the key dynamic variables associated with team success in elite men’s wheelchair basketball and explore the impact of each key dynamic variable upon the outcome of performance through the use of binary logistic regression modeling. The valid and reliable template developed Francis et al. (2019) was used to analyze video footage in SportsCode from 31 games at the men’s 2015 European Wheelchair Basketball Championships. The 31 games resulted in 6,126 rows of data which were exported and converted into a CSV file, analyzed using R ( R Core Team, 2015 ) and subjected to a data modeling process. Chi-square analyses identified significant ( p < 0.05) relationships between Game Outcome and 19 Categorical Predictor Variables. Automated stepwise binary regression model building was completed using 70% of the data (4,282 possessions) and produced a model that included 12 Categorical Predictor Variables. The accuracy of the developed model was deemed to be acceptable at accurately predicting the remaining 30% of the data (1,844 possessions) and produced an area under the receiver operating characteristic curve value of 0.759. The model identified the odds of winning are more than double when the team in possession are in a state of winning at the start of the possession are increased five-fold when the offensive team do not use a 1.0 or 1.5 classified player, but are increased six-fold when the offensive team use three or more 3.0 or 3.5 players. The final model can be used by coaches, players and support staff to devise training and game strategies that involve selecting the most appropriate offensive and defensive approaches when performing ball possessions to enhance the likelihood of winning in elite men’s wheelchair basketball.

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Section: Methodsmentioning

confidence: 99%

Making Every “Point” Count: Identifying the Key Determinants of Team Success in Elite Men’s Wheelchair Basketball

2019

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“…The operator spent about 2 h and 30 minutes analysing each game. On any given day, a maximum of two games were analysed in an attempt to reduce errors and a five-minute break was taken at the end of each quarter ( Liu, Jaramillo & Vincenzi, 2015 ). All the attack situations were re-observed to test data reliability and no adjustments to the analysed data were necessary.…”

Section: Methodsmentioning

confidence: 99%

Evaluating field-goal shooting effectiveness in wheelchair basketball players across a competitive season: a preliminary study

Cavedon,

Zecchini,

Sandri

et al. 2023

PeerJ

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Background Information about non-elite wheelchair basketball (WB) players across national competitive seasons are still missing. This study aimed at identifying which situational-related variables were associated with shooting effectiveness in non-elite WB players. Methods All the matches played by one WB team across one national competitive season were video-recorded and analysed; 333 shooting attempts from high-point players and several situational-related variables were considered. Results Pearson’s Chi-square test showed that increased shooting effectiveness under the following conditions: playing on home ground, during won matches, while taking shots with the wheelchair in motion, and when no opposing player raised their arm in defence. Results of the multivariable logistic regression analysis showed a statistically significant influence of match location (p-value = 0.001), shot-clock remaining (p-value = 0.015) and modality of press (p-value < 0.001). The highest attack effectiveness was achieved when teams played at home (odds ratio [OR] = 2.49), while the shooting effectiveness decreased when the shot occurred during the last seconds of the action (OR = 0.36), or the opponents defended with the arm raised (OR = 0.19). These results suggest that coaches should include exercises aimed at shooting under conditions of increased pressure in their programmes in order to create specific situations during the training sessions to prepare their high-point athletes for shots under specific match constraints.

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“…The framework posits that the external environment, the industry, and the firm itself are the three primary sources of uncertainty. Liu, Jaramillo, and Vincenzi [26] refined this strategy after statistically analyzing the uncertainty factors. Le, Nguyen, Do, and Ngo [27] developed a risk management approach that categorizes possible causes of damage into three major classes: network-related (demand and supply), external, and internal (control and process).…”

Section: Introductionmentioning

confidence: 99%

Theoretical Framework of Supply Chain Uncertainties

Rouma

2022

JEBI

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The increasing complexity of multinational supply networks has generated a new issue (supply chain uncertainty) for today's managers. This article surveys the existing literature on the topic of supply chain uncertainty and establishes the theoretical framework for future study in this area (in addition to supply chain risk). This literature study identifies fourteen potential causes of uncertainty, including both well-studied phenomena like the bullwhip effect and less well-known ones like parallel interaction. Ten solutions try to eliminate the core source of uncertainty, while eleven others aim to adapt to the existence of these unknowns in order to reduce their effects on manufacturing performance. The theory of manufacturing strategy and core concept of contingency and alignment establish a foundation of the supply chain uncertainty framework that is thus establishment using the research findings. More future empirical study is required to discover which uncertainty exists in distinct industrial settings, the effect of suitable sources and management strategies on productivity, and the intricate interaction between management techniques and diverse uncertainty sources.

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The Effects of System Reliability and Task Uncertainty on Autonomous Unmanned Aerial Vehicle Operator Performance under High Time Pressure

Cited by 8 publications

References 18 publications

Making Every “Point” Count: Identifying the Key Determinants of Team Success in Elite Men’s Wheelchair Basketball

Making Every “Point” Count: Identifying the Key Determinants of Team Success in Elite Men’s Wheelchair Basketball

Evaluating field-goal shooting effectiveness in wheelchair basketball players across a competitive season: a preliminary study

Theoretical Framework of Supply Chain Uncertainties

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