as its name suggests, user experience is a purely subjective psychological feeling, there are many uncertainties and individual differences, it is not easy to evaluate the user experience accurately.
is not easy because:
1. lacks standards about user experience
1) the definition of user experience has always been floating on the theoretical level and lacks explicit evaluation criteria.
2) different products have different emphases on the components of user experience.
2. lacks effective evaluation methods
1) there are uncertainties in the experiment, and there are individual differences among users.
2) test of a large sample of high cost assessment.
therefore, in order to assess the user experience accurately, the creation of evaluation criteria should be practical and operational, following the following principles:
1) all assessment criteria are quantifiable and can provide detailed assessment data.
2) the evaluation criteria can be measured and observed in real terms, and can be reproduced.
3) the assessment criteria can be reviewed periodically to verify improvements within a given period.
4) the evaluation criteria should have good construct validity.
At present, the research of
evaluation standards can be divided into two categories: the evaluation criteria of the content and the evaluation standards of the users concerned.
index system for content
4 new availability parameters, such as navigation, response time, reliability (Credibility), and content, are presented by
, such as Nielsen. In addition, Agarwal and Venkatesh proposed for web usability evaluation of Microsoft usability guidelines (Microsoft Usability, Guidelines, MUG), the index system including 5 dimensions: ease of use, the secondary user (Made for the Medium), emotion, content and motivational (Promotion).
, many researchers have made a similar point of view, such as Turner, which divides usability into navigation, web design, content, accessibility, multimedia usage, interactivity, and consistency. Some scholars have further analyzed the importance of usability indicators through various empirical studies. For example, Monideepa, Tarafdar et al. Analyzed the impact of existing web site usability design metrics on Web sites and found factors in web design, such as information content, usability of navigation systems, and download speed