Research of Human-Machine Interface Evaluation Based on Cogtool

Lu Wang, Qing Xue*, Jia Hao, Hongyan Yu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationHuman 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
EditorsSakae Yamamoto, Hirohiko Mori
PublisherSpringer Verlag
Pages371-391
Number of pages21
ISBN (Print)9783030226596
DOIs
Publication statusPublished - 2019
EventThematic 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 - Orlando, United States
Duration: 26 Jul 201931 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11569 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceThematic 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
Country/TerritoryUnited States
CityOrlando
Period26/07/1931/07/19

Keywords

  • CogTool
  • Human performance predictions
  • Human-machine interface evaluation

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