Bimonthly    Since 1986
ISSN 1004-9037
Publication Details
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
 
   
      05 July 2023, Volume 38 Issue 3
    Article

    IDENTIFYING USER EXPERIENCE ISSUES FOR COMPUTER AIDED DESIGN (CAD) SOFTWARE: A SURVEY AND EXPLORATORY FACTOR ANALYSIS TO IDENTIFY THE ISSUES TO IMPLEMENT ARTIFICIAL INTELLIGENCE FOR IMPROVING USER EXPERIENCE.
    Sachin S Kallurkar, Prasad R Baviskar, Vishnu D Wakchaure, Sandeep H Wankhade
    Journal of Data Acquisition and Processing, 2023, 38 (3): 5511-5523 . 

    Abstract

    The work has been carried out for identifying User Experience issues currently acknowledged by the users of Computer Aided Design (CAD) software, especially those from a background in Mechanical Engineering. A survey is carried out with experts and users of CAD software, with a questionnaire consisting of 24 variables, addressing the current need of the user experience for CAD. The questionnaire consisted of variables categorized into two distinct forms to understand the need for Automation with CAD usability. The collected information is put forth to Exploratory Factor Analysis which has helped to identify 8 latent factors contributing to user experience requirements related to CAD. Further, an approach is suggested for improving user experience on the basis of Fatigue and Productivity measures. Also, the study has suggested the requirement for implementing Artificial Intelligence to integrate all the issues identified put forth for further research.

    Keyword

    User Experience; Computer Aided Design; Optimization; Artificial Intelligence


    PDF Download (click here)

SCImago Journal & Country Rank

ISSN 1004-9037

         

Home
Editorial Board
Author Guidelines
Subscription
Journal of Data Acquisition and Processing
Institute of Computing Technology, Chinese Academy of Sciences
P.O. Box 2704, Beijing 100190 P.R. China
E-mail: info@sjcjycl.cn
 
  Copyright ©2015 JCST, All Rights Reserved
.