Timebased Analysis of Significant Coordinated Operations (TASCO): A Cockpit Workload Analysis Technique

1985 ◽  
Vol 29 (8) ◽  
pp. 774-778
Author(s):  
Michael G. Ellison ◽  
Brent B. Roberts
Keyword(s):  
Task Performance ◽  
Task Complexity ◽  
Weapon System ◽  
Task Execution ◽  
System Complexity ◽  
Workload Analysis ◽  
Analysis Technique ◽  
Task Execution Time ◽  
Reduce Risk ◽  
And Task

TASCO has been developed to provide a diagnostic tool to aid in avionics operation task structuring. The objective of the TASCO logic is to determine the optimum organization of cockpit activities considering task complexity and task execution time compared to estimated time available to perform the task set. The TASCO cockpit workload analysis technique measures and evaluates the relationships between pilot proficiency, experience, and weapon system complexity in order to reduce risk in task performance.

Effects of temperature, clothing, and task complexity on task performance and satisfaction.

1982 ◽  
Vol 67 (1) ◽  
pp. 97-102 ◽  
Author(s):  
Stephen C. Vickroy ◽  
James B. Shaw ◽  
Cynthia D. Fisher
Keyword(s):  
Task Performance ◽  
Task Complexity ◽  
Effects Of Temperature ◽  
And Task

Motivation and task performance in a task-based web-based tandem project

ReCALL ◽  
2002 ◽  
Vol 14 (1) ◽  
pp. 16-31 ◽  
Author(s):  
CHRISTINE APPEL ◽  
ROGER GILABERT
Keyword(s):  
Task Performance ◽  
Task Difficulty ◽  
Task Complexity ◽  
Target Language ◽  
Decision Making Process ◽  
Web Based ◽  
Affective Variables ◽  
Materials Used ◽  
E Mail ◽  
And Task

The objective of this paper is to describe a task-based project in tandem via e-mail, and to discuss the effects of motivation on task performance. In this project, a group of Irish students and a group of Spanish students are asked to carry out a series of tasks in collaboration with their tandem partners via e-mail by means of a web page especially designed for the project. Half the message is meant to be written in the student’s native language and half in the target language, and students are also encouraged to correct one another. The goal behind our research is to discuss the effects of motivation on task performance. We argue that resource directing (such as reasoning demands) and resource depleting factors (such as prior knowledge) which belong to task complexity in Robinson’s model (Robinson, 2001) are closely connected to affective variables which, as is the case with motivation, belong to task difficulty. Motivational factors like interest in the meanings to be exchanged, involvement in the decision-making process, students’ expertise in the topic, media and materials used, and the diffusion of outcomes among others have strong effects on task performance, and should therefore be considered together with complexity variables.

Dual-task performance as a function of adult age and task complexity.

1988 ◽  
Vol 3 (2) ◽  
pp. 210-212 ◽  
Author(s):  
Thomas C. Lorsbach ◽  
Greg B. Simpson
Keyword(s):  
Task Performance ◽  
Dual Task ◽  
Task Complexity ◽  
Adult Age ◽  
Dual Task Performance ◽  
And Task

scholarly journals Promoting Optimal User Experience through Composite Challenge Tasks

2019 ◽  
Vol 9 (19) ◽  
pp. 4106
Author(s):  
Ricardo Cruz ◽  
Luis A. Pineda
Keyword(s):  
Task Performance ◽  
User Experience ◽  
Motor Skills ◽  
Task Complexity ◽  
Interactive Systems ◽  
The Other ◽  
Movement Interaction ◽  
And Performance ◽  
Performance Results ◽  
And Task

Optimal user experience or flow is a theory with great impact on user experience. Promoting flow has become a competitive advantage for interactive systems, including rehabilitation. This can be achieved through an engaging interface that provides a rewarding experience and motivates the user to use the system again. This theory sustains that promoting a state of flow and improving task performance depends heavily on the balance between the challenges posed by the system and the skills deployed by the user. We further claim that balanced mental and motor skills demanded by the task improve flow and task performance. This paper presents an experiment supporting these claims. For this, we built two movement-interaction rehabilitation systems called SIBMER and Macoli (arm in Náhuatl). Both systems have two versions, one with a balanced load of mental and motor skills, and the other with an unbalanced one. Both versions are compared in terms of their potential to promote the state of flow and to improve task performance. Results show that a balance demand of mental and motor skills promotes flow, independently of the task complexity. Likewise, the experiment shows a correlation between flow and performance.

The Moderating Effects of Task Complexity and Task Attractiveness on the Impact of Monetary Incentives in Repeated Tasks

2011 ◽  
Vol 23 (1) ◽  
pp. 189-210 ◽  
Author(s):  
Charles D. Bailey ◽  
Nicholas J. Fessler
Keyword(s):  
Task Performance ◽  
Task Complexity ◽  
Interactive Effects ◽  
Incentive Pay ◽  
Monetary Incentives ◽  
Moderating Effects ◽  
The Impact ◽  
And Task

ABSTRACT This study examines the interactive effects of task complexity and attractiveness on the effectiveness of explicit monetary incentives in promoting task performance. We provide theory for and find an interaction such that monetary incentives are more effective when tasks are less complex, but only when the task is viewed as relatively unattractive. In addition, by varying task complexity, this study extends Bailey et al. (1998), finding that when incentive pay leads to higher performance, it is through faster initial performance, not faster improvement.

scholarly journals Evaluating Levels of Automation in Human–Robot Collaboration at Different Workload Levels

2021 ◽  
Vol 11 (16) ◽  
pp. 7340
Author(s):  
Dana Gutman ◽  
Samuel Olatunji ◽  
Yael Edan
Keyword(s):  
User Study ◽  
Task Complexity ◽  
User Preferences ◽  
Task Execution ◽  
Levels Of Automation ◽  
Four Levels ◽  
Human Robot Collaboration ◽  
Different Levels ◽  
And Task

This study explored how levels of automation (LOA) influence human robot collaboration when operating at different levels of workload. Two LOA modes were designed, implemented, and evaluated in an experimental collaborative assembly task setup for four levels of workload composed of a secondary task and task complexity. A user study conducted involving 80 participants was assessed through two constructs especially designed for the evaluation (quality of task execution and usability) and user preferences regarding the LOA modes. Results revealed that the quality of task execution and usability was better at high LOA for low workload. Most of participants also preferred high LOA when the workload increases. However, when complexity existed within the workload, most of the participants preferred the low LOA. The results reveal the benefits of high and low LOA in different workload situations. This study provides insights related to shared control designs and reveals the importance of considering different levels of workload as influenced by secondary tasks and task complexity when designing LOA in human–robot collaborations.

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