Comparative evaluation of usability tests

Molich, Rolf; Thomsen, Ann Damgaard; Karyukina, Barbara; Schmidt, Lars; Ede, Meghan; Oel, Wilma van; Arcuri, Meeta

doi:10.1145/632716.632768

Cited by 39 publications

(11 citation statements)

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“…Nielsen (1994) suggested using several evaluation methods in combination, appealing to incremental findings regarding various usability issues and cross-checking of the evaluation results. Two Comparative User Testing studies CUE-1 and CUE-2 (Molich et al, 1999) confirmed his suggestion and demonstrated the lack of consistency and systematic approach for usability evaluations. Those studies showed that usability findings performed for the same project could vary dramatically, depending on usability assessment team knowledge and the methods that usability experts chose for the evaluation.…”

Section: Usability Evaluation Methods (Uems)mentioning

confidence: 84%

Big Data Analysis as a New Approach for Usability Attributes Evaluation of User Interfaces: An Automotive Industry Context

Orlovska¹,

Wickman²,

Söderberg³

2018

Proceedings of the DESIGN 2018 15th International Design Conference

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The growth of digital technologies dramatically increased the complexity of user interfaces in modern cars that made the usability evaluation an arduous task. Current usability evaluation methods cannot provide sufficient information about a user and system performance for such a complex and dynamic environment as automotive user interfaces. In this paper, we investigate how and to what extent the big data analysis can contribute to the usability attributes evaluation. We present the case study design for usability evaluation of Driver Support system, validated by the industry professionals.

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Section: Usability Evaluation Methods (Uems)mentioning

confidence: 84%

Big Data Analysis as a New Approach for Usability Attributes Evaluation of User Interfaces: An Automotive Industry Context

Orlovska¹,

Wickman²,

Söderberg³

2018

Proceedings of the DESIGN 2018 15th International Design Conference

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“…Molich et al [34] [35] evaluated the same website of nine organizations to measure the consistency in usability testing. As a result, 310 total problems were reported and 232 of them were unique.…”

Section: Usability Of Mobile-phoneinterfacementioning

confidence: 99%

Towards Adaptive user Interfaces for Mobile-Phone in Smart World

Iqbal¹,

Nickabadi²,

Shahzad³

et al. 2018

ijacsa

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All applications are developed for context adaptation and provide communication with users through their interfaces. These applications offer new opportunities for developers as well as users by collecting context data and adapting systems behavior accordingly. Particularly, in mobile devices, these mechanisms provide usability increment tremendously. Rigid and non-adaptive interface blocks the features of context awareness. In this paper, we study methods, technologies and criteria which have been proposed specifically for adaptive interfaces. Based on these guidelines, we elaborate the intelligence of adaptivity and usage of context according to user mental model. Further, we have proposed a model to develop user context ontology (UCO) and adaptive interface ontology (AIO) to optimize the use of adaptive mobile interfaces in the context of user preferences. These ontologies organize the perceptions and thoughts of user. The philosophy of User Centered Design (UCD) is proposed to analyze the usability and validity of mobile device interfaces according to user contexts.

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“…Unfortunately, in many cases the usability evaluation techniques are performed manually, and due to budget and schedule concerns sometimes they are neglected or poorly defined. Moreover, different techniques highlight different issues and it is also possible that the same technique produces notable variability in results when applied to different evaluation studies for the same system [78,83]. Automating evaluation approaches and techniques, and applying these throughout the development process, provides several benefits, e.g.…”

Section: Automating Usability Evaluationmentioning

confidence: 99%

Incorporating Usability Evaluation in Software Development Environments

Humayoun

2012

Künstl Intell

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Comparative evaluation of usability tests

Cited by 39 publications

References 0 publications

Big Data Analysis as a New Approach for Usability Attributes Evaluation of User Interfaces: An Automotive Industry Context

Big Data Analysis as a New Approach for Usability Attributes Evaluation of User Interfaces: An Automotive Industry Context

Towards Adaptive user Interfaces for Mobile-Phone in Smart World

Incorporating Usability Evaluation in Software Development Environments

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