A Hybrid Approach for Modelling Early Prototype Evaluation Under User-Centred Design Through Association Rules

González, María Paula; Granollers, Toni; Lorés, Jesús

doi:10.1007/978-3-540-69554-7_17

Cited by 6 publications

(14 citation statements)

References 5 publications

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“…Some studies have proposed an integrated approach of usability evaluation with different data mining techniques. By using association rule, usability evaluation of early prototypes is conducted [7,9]. A recommendation model is proposed with a description of a set of association rules that can improve the usability of the system [10].…”

Section: Related Workmentioning

confidence: 99%

“…RapidMiner [40], R [41], Orange [42], and Weka [43,44]. This paper is based upon some preliminary research work done by Gonzalez et al [7], on usability evaluation of early prototypes through association rules and usability testing through data-mining techniques [8,12]. For usability evaluation, Weka workbench is frequently used for applying data-mining techniques.…”

Section: Related Workmentioning

confidence: 99%

“…In order to overcome this challenge, these methods must be extended with data-mining knowledge discovery process. A number of research studies have been reviewed that employ data-mining techniques for evaluation of usability [7][8][9][10][11][12]. Moreover, usability evaluation has been done in different domains e.g.…”

Section: Introductionmentioning

confidence: 99%

“…"Conclusions and future work" section presents the conclusions and future work. This work is based upon some preliminary research work conducted on usability evaluation of early prototypes through association rules [7], and usability testing through data-mining techniques [9,12].…”

Section: Introductionmentioning

confidence: 99%

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Qualitative usability feature selection with ranking: a novel approach for ranking the identified usability problematic attributes for academic websites using data-mining techniques

Sagar¹,

Saha²

2017

Hum. Cent. Comput. Inf. Sci.

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Objective: The aim of this study is to identify common usability problematic patterns that belong to top-50 academic websites as a whole and then ranking of these identified usability problems is also provided. Methods:In this study, a novel approach is proposed that is based upon the integration of conventional usability testing and heuristic evaluation with data-mining knowledge discovery process. An experiment is conducted to evaluate ISO 9241-151 guidelines under 16-different categories by hundred participants who are frequent users of academic websites. After evaluation, the qualitative usability data is collected and different data-mining techniques i.e. association rule and decision tree are applied to recognize fully functional and problematic usability attributes. Identified problematic attributes represent common usability problems patterns related to academic websites from the qualitative viewpoint only. This study further prioritizes these problematic attributes by using the ranking algorithm that represents the order in which usability issues must be resolved. Results:In this study, 16-different categories are considered for usability evaluation of academic websites. The results show that no issues are identified in two-categories i.e. {Headings_Titles_Labels and The Home_Page}. In Scrolling and Paging category, horizontal scrolling is identified as a major issue whereas, in Internationalization category, the users do not identify supported languages on most of the academic websites. Users do not find websites to be highly secured under Security category. Our findings investigate that most of the issues are found in Search and Social Media categories. Furthermore, users easily locate 50.53% guidelines on websites as fully functional whereas, 49.46% of characteristics are considered as problematic usability features that are not functional on the academic website as a whole. Conclusions:Identification of common usability problems at an early stage can lower substantially the development efforts in cost and time. Software developers can restrain from these potential usability problems during the development of novel systems under the same context. Providing appropriate solutions for these problems can become valuable in software development. The proposed approach concludes Sagar and Saha Hum. Cent. Comput. Inf. Sci. (2017) Page 2 of 24 Sagar and Saha Hum. Cent. Comput. Inf. Sci. (2017) 7:29 that conventional usability evaluation methods can go beyond just than testing of systems. The study is a milestone towards identification and prioritizing problematic usability features for academic websites and helps in providing the wholistic approach of usability problematic patterns for web-domain. RESEARCH

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Qualitative usability feature selection with ranking: a novel approach for ranking the identified usability problematic attributes for academic websites using data-mining techniques

Sagar¹,

Saha²

2017

Hum. Cent. Comput. Inf. Sci.

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“…Section 6 discusses related work, and Section 7 concludes by summarizing the main results that have been obtained and discussing future work. We want to remark that this article is based on some preliminary research work from the authors on modeling usability evaluation of early prototypes under User-Centered Design through association rules [26,27].…”

Section: Introductionmentioning

confidence: 99%

Enhancing usability testing through datamining techniques: A novel approach to detecting usability problem patterns for a context of use

González

Lorés

Saltiveri

2008

Information and Software Technology

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Manual versus automated qualitative usability assessment of interactive systems

Sagar

Gupta

Sangaiah

2018

Concurrency and Computation

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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.

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A Hybrid Approach for Modelling Early Prototype Evaluation Under User-Centred Design Through Association Rules

Cited by 6 publications

References 5 publications

Qualitative usability feature selection with ranking: a novel approach for ranking the identified usability problematic attributes for academic websites using data-mining techniques

Qualitative usability feature selection with ranking: a novel approach for ranking the identified usability problematic attributes for academic websites using data-mining techniques

Enhancing usability testing through datamining techniques: A novel approach to detecting usability problem patterns for a context of use

Manual versus automated qualitative usability assessment of interactive systems

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