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Manual versus automated qualitative usability assessment of interactive systems
Author(s) -
Sagar Kalpna,
Gupta Deepak,
Sangaiah Arun K.
Publication year - 2018
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.5091
Subject(s) - usability , computer science , heuristic evaluation , world wide web , web usability , usability inspection , data science , human–computer interaction
Summary The purpose of this paper is to compare the end results generated after usability assessment by two different ways. The assessment of top‐fifty academic websites is done by employing the tool and by involving end‐users. This research work is performed to assess latest heuristic guidelines for academic websites under three different categories i.e. {Social Media, Mobile and Security} by involving a hundred end‐users as well as by evaluating the websites using the tool. Association rule is implemented on the collected qualitative data to recognize common usability problem patterns pertaining to academic websites but from two uncommon perspectives. This study further compares these problematic patterns to provide more comprehensive analysis. Our findings investigate that most of the usability problems have been uncovered by the end‐users on academic websites that are not detected by tool. In other words, there are several key features that these tools are failed to evaluate. On the contrary, end‐users can help in evaluating these features and uncover remarkable usability problematic issues on any interactive system.