Statistical/mathematical software related to computer user satisfaction: An interactive online expert system using diagnostic audit trails through telecommunication networks

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The selection of a statistical/mathematical software (SMS) system is complicated. The satisfaction derived from a system depends on many variables. This study analyses the influence of SMS predictor variables on satisfaction as determined by multiple regression. The null hypothesis, that multiple correlation coefficient is zero, is rejected. The alternative hypothesis is accepted. This study confirms the theories that suggest that SMS ease of operation, computer reliability, and ease of programming are the major determinants of computer user satisfaction. The factors identified were used in the design of an SMS Expert System based on Artificial Intelligence (ESAI).

Original languageEnglish (US)
Pages (from-to)285-303
Number of pages19
JournalInternational Journal of Mathematical Education in Science and Technology
Volume17
Issue number3
DOIs
StatePublished - Jan 1 1986

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Computer operating procedures
Mathematical Software
Statistical Software
User Satisfaction
Telecommunication Network
Audit
knowledge-based system
Computer programming
Expert System
audit
Expert systems
Telecommunication networks
telecommunication
Artificial intelligence
Diagnostics
diagnostic
Software System
Multiple Correlation Coefficient
Multiple Regression
artificial intelligence

ASJC Scopus subject areas

  • Mathematics (miscellaneous)
  • Applied Mathematics
  • Education

Cite this

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