DocumentCode
2028026
Title
Restrain mental workload with roles in HCI
Author
Zhu, Haibin ; Hou, Ming
Author_Institution
Dept. of Comput. Sci. & Math., Nipissing Univ., North Bay, ON, Canada
fYear
2009
fDate
26-27 Sept. 2009
Firstpage
387
Lastpage
392
Abstract
Mental overload is a key issue for operators interacting with machines. Restraining mental load is the goal for advanced interaction design. This paper proposes a role-based approach to evaluating the mental workload for human users and restraining operators´ mental load in interaction design. The proposed method can be applied to HCI to dynamically adjust the mental workload of the human users to improve the performance of interaction.
Keywords
cognitive systems; human computer interaction; HCI; human users; interaction design; mental overload; mental workload; role-based approach; Artificial intelligence; Brain modeling; Computer science; Computerized monitoring; Data mining; Drives; Educational institutions; Human computer interaction; Human factors; Mathematics; human computer interaction; mental load; role-based approach; roles;
fLanguage
English
Publisher
ieee
Conference_Titel
Science and Technology for Humanity (TIC-STH), 2009 IEEE Toronto International Conference
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-3877-8
Electronic_ISBN
978-1-4244-3878-5
Type
conf
DOI
10.1109/TIC-STH.2009.5444469
Filename
5444469
Link To Document