TY - GEN
T1 - Research of Human-Machine Interface Evaluation Based on Cogtool
AU - Wang, Lu
AU - Xue, Qing
AU - Hao, Jia
AU - Yu, Hongyan
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - Along with the development of interactive interface design technology, interface display becomes increasingly dynamic, multi-functional and logically-complex that increases the difficulty of interactive interface evaluation. The traditional evaluation methods of interactive interface cannot meet the requirements of interface evaluation due to its poor objectivity and economy. However, it is possible to predict the cognitive process of users by constructing human cognitive model as the development of cognitive psychology, and the interactive interface evaluation method based on the cognitive process of users is of feasibility and utmost urgency. This paper proposed a Cogtool-based interactive interface evaluation method that predicts the interactive process in terms of human’s cognitive characteristics, which significantly improves the objectivity of interface evaluation and has the advantages of economy and convenience. The Cogtool-based interactive interface evaluation method was studied in this research. (1) Interactive tasks were designed according to the main functions of the interface and Cogtool was adopted to predict the performance in completing the interactive tasks. Various data were collected such as the time required, action sequence, and the times of page turn. (2) A vague set evaluation system was established, and the vague value of each interface design scheme was calculated. The TOPSIS method was adopted to rank the multiple interfaces. (3) Taking three automotive audio and video navigator interfaces as example, the feasibility of the Cogtool-based interactive interface evaluation method was verified, and suggestions on the optimization of layout and structural logic were proposed in the end.
AB - Along with the development of interactive interface design technology, interface display becomes increasingly dynamic, multi-functional and logically-complex that increases the difficulty of interactive interface evaluation. The traditional evaluation methods of interactive interface cannot meet the requirements of interface evaluation due to its poor objectivity and economy. However, it is possible to predict the cognitive process of users by constructing human cognitive model as the development of cognitive psychology, and the interactive interface evaluation method based on the cognitive process of users is of feasibility and utmost urgency. This paper proposed a Cogtool-based interactive interface evaluation method that predicts the interactive process in terms of human’s cognitive characteristics, which significantly improves the objectivity of interface evaluation and has the advantages of economy and convenience. The Cogtool-based interactive interface evaluation method was studied in this research. (1) Interactive tasks were designed according to the main functions of the interface and Cogtool was adopted to predict the performance in completing the interactive tasks. Various data were collected such as the time required, action sequence, and the times of page turn. (2) A vague set evaluation system was established, and the vague value of each interface design scheme was calculated. The TOPSIS method was adopted to rank the multiple interfaces. (3) Taking three automotive audio and video navigator interfaces as example, the feasibility of the Cogtool-based interactive interface evaluation method was verified, and suggestions on the optimization of layout and structural logic were proposed in the end.
KW - CogTool
KW - Human performance predictions
KW - Human-machine interface evaluation
UR - http://www.scopus.com/inward/record.url?scp=85069812703&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-22660-2_27
DO - 10.1007/978-3-030-22660-2_27
M3 - Conference contribution
AN - SCOPUS:85069812703
SN - 9783030226596
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 371
EP - 391
BT - Human Interface and the Management of Information. Visual Information and Knowledge Management - Thematic Area, HIMI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
A2 - Yamamoto, Sakae
A2 - Mori, Hirohiko
PB - Springer Verlag
T2 - Thematic Area on Human Interface and the Management of Information, HIMI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
Y2 - 26 July 2019 through 31 July 2019
ER -