I see, you design: user interface intelligent design system with eye tracking and interactive genetic algorithm

2019 ◽  
Vol 1 (3) ◽  
pp. 224-236 ◽  
Author(s):  
Shiwei Cheng ◽  
Anind K. Dey
2010 ◽  
Vol 34-35 ◽  
pp. 1159-1164 ◽  
Author(s):  
Yi Nan Guo ◽  
Yong Lin ◽  
Mei Yang ◽  
Shu Guo Zhang

In traditional interactive genetic algorithms, high-quality optimal solution is hard to be obtained due to small population size and limited evolutional generations. Aming at above problems, a parallel interactive genetic algorithm based on knowledge migration is proposed. During the evolution, the number of the populations is more than one. Evolution information can be exchanged between every two populations so as to guide themselves evolution. In order to realize the freedom communication, IP multicast is adopted as the transfer protocol to find out the similar users instead of traditional TCP/IP communication mode. Taken the fashion evolutionary design system as test platform, the results indicate that the IP multicast-based parallel interactive genetic algorithm has better population diversity. It also can alleviate user fatigue and speed up the convergence.


2020 ◽  
Vol 15 ◽  
pp. 155892502092003
Author(s):  
Xinjuan Zhu ◽  
Xuefei Li ◽  
Yifan Chen ◽  
Jingwei Liu ◽  
Xueqing Zhao ◽  
...  

Companies find it extremely difficult to predict consumers’ needs and requirements, since the spiritual significance of clothing is getting more and more attention. However, most current clothing customization platforms only allow customers to retrieve previous design components from the database and recombine them together, ignoring the customer’s personalized design requirements. In view of the above issues, an intelligent design approach of personalized customized clothing based on typical style and interactive genetic algorithm is proposed in this article. It could generate new fashion styles according to simple customer evolution. The binary coding scheme of suit coat style is presented. And an automatic suit coat design system based on interactive genetic algorithm is developed, in which 10 typical suit coats are selected as the initial population. The experimental results show that the system can alleviate customers’ fatigue and speed up convergence compared with the classic interactive genetic algorithm design, and the designed styles can better meet customers’ preferences.


2010 ◽  
Vol 455 ◽  
pp. 499-502
Author(s):  
Jing Li ◽  
Xiang Jun Zou ◽  
Yin Le Chen ◽  
Quan Sun ◽  
Yan Chen ◽  
...  

In order to realize rapid design, a parametric intelligent design system of picking manipulator (PIDS-PM) of 4 DOF( Degree of Freedom) was developed. The design was reused and became more standard, the development cycle was shortened and the cost was reduced. First, knowledge attribute properties of manipulator were extracted and classified and parameterized according to its functions. They were consisted of a reusable knowledge structure module which included all the information, relationships and maps among parameters. Second, a knowledge repository based on database was constructed, which was used to query the database and obtain the optimal design scheme. Finally, the system was realized by using VC++6.0 including its structure, main function modules, user interface and its design result.


2013 ◽  
Vol 378 ◽  
pp. 552-557
Author(s):  
Jeng Jong Lin

An intelligent design system, which can generate a variety of patterns for a designer to evaluate each of them and scoring them by preference, is of great value to be created and developed by using genetic algorithm in this study. Through the assistance of the GA-based intelligent system, a fabric designer can proceed with the design process in a more flexible and effective way to obtain innovative weave structure. The problem of running out of creative inspiration for a designer can thus be eliminated.


Author(s):  
Ana Guerberof Arenas ◽  
Joss Moorkens ◽  
Sharon O’Brien

AbstractThis paper presents results of the effect of different translation modalities on users when working with the Microsoft Word user interface. An experimental study was set up with 84 Japanese, German, Spanish, and English native speakers working with Microsoft Word in three modalities: the published translated version, a machine translated (MT) version (with unedited MT strings incorporated into the MS Word interface) and the published English version. An eye-tracker measured the cognitive load and usability according to the ISO/TR 16982 guidelines: i.e., effectiveness, efficiency, and satisfaction followed by retrospective think-aloud protocol. The results show that the users’ effectiveness (number of tasks completed) does not significantly differ due to the translation modality. However, their efficiency (time for task completion) and self-reported satisfaction are significantly higher when working with the released product as opposed to the unedited MT version, especially when participants are less experienced. The eye-tracking results show that users experience a higher cognitive load when working with MT and with the human-translated versions as opposed to the English original. The results suggest that language and translation modality play a significant role in the usability of software products whether users complete the given tasks or not and even if they are unaware that MT was used to translate the interface.


Sign in / Sign up

Export Citation Format

Share Document