TY - GEN
T1 - Design of an optimal automation system
T2 - 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011
AU - Klein, Michel
AU - van Lambalgen, Rianne
PY - 2011
Y1 - 2011
N2 - In demanding tasks, human performance can seriously degrade as a consequence of increased workload and limited resources. In such tasks it is very important to maintain an optimal performance quality, therefore automation assistance is required. On the other hand, automation can also impose additional demands on a person monitoring the system and it will likely reduce the person's awareness of the situation. Therefore, automation should be adapted to the human's state in order to keep the human in the loop. In this paper an agent model is proposed that calculates a person's workload and engagement to an automated task. Based on this agent model, an intelligent support system can provide different types of automation and aims at adapting to the human state such that an optimal balance is found between exhaustion and task engagement.
AB - In demanding tasks, human performance can seriously degrade as a consequence of increased workload and limited resources. In such tasks it is very important to maintain an optimal performance quality, therefore automation assistance is required. On the other hand, automation can also impose additional demands on a person monitoring the system and it will likely reduce the person's awareness of the situation. Therefore, automation should be adapted to the human's state in order to keep the human in the loop. In this paper an agent model is proposed that calculates a person's workload and engagement to an automated task. Based on this agent model, an intelligent support system can provide different types of automation and aims at adapting to the human state such that an optimal balance is found between exhaustion and task engagement.
KW - Adaptive Automation
KW - Agents
KW - Cognitive Modeling
UR - http://www.scopus.com/inward/record.url?scp=79960505723&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960505723&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21827-9_11
DO - 10.1007/978-3-642-21827-9_11
M3 - Conference contribution
AN - SCOPUS:79960505723
SN - 9783642218262
VL - 6704 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 98
EP - 108
BT - Modern Approaches in Applied Intelligence - 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, Proceedings
Y2 - 28 June 2011 through 1 July 2011
ER -