Predictors of Usability of a Mobile Intelligent Agent Information Provider for College Students

IF 0.2 Q4 COMPUTER SCIENCE, CYBERNETICS
R. Bringula, Janszen Kiel L. Jose, Arnelle T. Lardizabal, John Raymon D. Lizaso
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引用次数: 0

Abstract

This study determined the factors that influenced the usability of a mobile-based intelligent agent called “AskRed.” The design-related factors were evaluated in terms of performance, accuracy, responsiveness, aesthetics, and completeness. The usability of the software was determined in terms of satisfaction and intention to re-use the software. The software received favorable ratings from the students. Experts' software evaluation recommended strengthening the design of the intelligent agent in terms of security, performance, completeness, and ease-of-use. Multiple regression analyses showed that performance and completeness influenced satisfaction and intention to re-use. Aesthetics and responsiveness influenced satisfaction but not intention to re-use. Responsiveness had a negative impact on satisfaction. The predictive powers of the regression equations are 58% and 73%. This study provided empirical evidence on the predictors of usability of an intelligent agent used in a university setting.
大学生移动智能代理信息提供者可用性的预测因素
这项研究确定了影响手机智能代理“AskRed”可用性的因素。设计相关因素在性能、准确性、响应性、美观性和完整性方面进行评估。软件的可用性是根据软件的满意度和重用意图来确定的。该软件得到了学生们的好评。专家的软件评估建议在安全性、性能、完整性和易用性方面加强智能代理的设计。多元回归分析表明,性能和完整性影响满意度和重用意图。美学和反应性影响满意度,但不影响重复使用的意图。响应性对满意度有负向影响。回归方程的预测能力分别为58%和73%。本研究为大学环境中使用的智能代理的可用性预测提供了经验证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
4.70
自引率
0.00%
发文量
5
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