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
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;
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
DOI :
10.1109/TIC-STH.2009.5444469
