scholarly journals Modeling Operator Behavior During Blackstart.

2020 ◽  
Author(s):  
Walter Beyeler ◽  
Robert Abbott ◽  
Casey Doyle ◽  
Kevin Stamber
Keyword(s):  
Operator Behavior

The Impact of Transparency and Decision Risk on Human–Automation Teaming Outcomes

2021 ◽  
pp. 001872082110334
Author(s):  
Shayne Loft ◽  
Adella Bhaskara ◽  
Brittany A. Lock ◽  
Michael Skinner ◽  
James Brooks ◽  
...  
Keyword(s):  
Decision Aid ◽  
Financial Incentive ◽  
Decision Aids ◽  
Rejection Rate ◽  
Decision Time ◽  
Correct Rejection ◽  
Incentive Scheme ◽  
Operator Behavior ◽  
The Impact ◽  
Financial Penalty

Objective Examine the effects of decision risk and automation transparency on the accuracy and timeliness of operator decisions, automation verification rates, and subjective workload. Background Decision aids typically benefit performance, but can provide incorrect advice due to contextual factors, creating the potential for automation disuse or misuse. Decision aids can reduce an operator’s manual problem evaluation, and it can also be strategic for operators to minimize verifying automated advice in order to manage workload. Method Participants assigned the optimal unmanned vehicle to complete missions. A decision aid provided advice but was not always reliable. Two levels of decision aid transparency were manipulated between participants. The risk associated with each decision was manipulated using a financial incentive scheme. Participants could use a calculator to verify automated advice; however, this resulted in a financial penalty. Results For high- compared with low-risk decisions, participants were more likely to reject incorrect automated advice and were more likely to verify automation and reported higher workload. Increased transparency did not lead to more accurate decisions and did not impact workload but decreased automation verification and eliminated the increased decision time associated with high decision risk. Conclusion Increased automation transparency was beneficial in that it decreased automation verification and decreased decision time. The increased workload and automation verification for high-risk missions is not necessarily problematic given the improved automation correct rejection rate. Application The findings have potential application to the design of interfaces to improve human–automation teaming, and for anticipating the impact of decision risk on operator behavior.

scholarly journals Potential of Private Autonomous Vehicles for Parcel Delivery

2020 ◽  
Vol 2674 (11) ◽  
pp. 520-531
Author(s):  
Tilmann Schlenther ◽  
Kai Martins-Turner ◽  
Joschka Felix Bischoff ◽  
Kai Nagel
Keyword(s):  
Service Provider ◽  
Autonomous Vehicles ◽  
Urban Traffic ◽  
Vehicle Miles Traveled ◽  
Traffic System ◽  
Autonomous Cars ◽  
Multi Agent ◽  
Wide Scale ◽  
Operator Behavior

Using the same vehicles for both passenger and freight transport, to increase vehicle occupancy and decrease their number, is an idea that drives transport planners and is also being addressed by manufacturers. This paper proposes a methodology to simulate the behavior of such vehicles within an urban traffic system and evaluate their performance. The aim is to investigate the impacts of resignation from fleet ownership by a transport service company (TSC) operating on a city-wide scale. In the simulation, the service provider hires private autonomous cars for tour performance. Based on assumptions concerning the operation of such vehicles and TSCs, the software Multi-Agent Transport Simulation (MATSim) is extended to model vehicle and operator behavior. The proposed framework is applied to a case study of a parcel delivery service in Berlin serving a synthetic parcel demand. Results suggest that the vehicle miles traveled for freight purposes increase because of additional access and egress trips. Moreover, the number of vehicles en route is higher throughout the day. The lowering of driver costs can reduce the costs of the operator by approximately 74.5%. If the service provider additionally considers the resignation from fleet ownership, it might lower the operation cost by another 10%, not taking into account the costs of system transfer or risks like vehicle non-availability. From an economic perspective, the reduction of the overall number of vehicles in the system seems to be beneficial.

Modeling Information Search Behavior for Design Purposes: An Example from Process Control

1988 ◽  
Vol 32 (19) ◽  
pp. 1376-1380 ◽  
Author(s):  
Gunilla A. Sundström
Keyword(s):  
Control Systems ◽  
Supervisory Control ◽  
Information Search ◽  
Search Behavior ◽  
Special Focus ◽  
Knowledge Based ◽  
Human Machine Interfaces ◽  
Information Search Behavior ◽  
Graphical Design ◽  
Operator Behavior

Current models on operator behavior in supervisory control systems are reviewed with special focus on their usefulness for graphical design of human-machine interfaces in dynamic technical systems. An alternative framework is described and used in a knowledge based approach to represent information search behavior of operators for graphical design purposes.

scholarly journals Learning obstacle avoidance parameters from operator behavior

2006 ◽  
Vol 23 (11-12) ◽  
pp. 1037-1058 ◽  
Author(s):  
Bradley Hamner ◽  
Sanjiv Singh ◽  
Sebastian Scherer
Keyword(s):  
Obstacle Avoidance ◽  
Operator Behavior
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