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An Enhanced Set of Heuristics for Evaluating Gestural Operations in News Media Mobile Applications

Thesis Info

Access Option

External Link

Author

Lubna Yaqoob

Institute

Virtual University of Pakistan

Institute Type

Public

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

2017

Thesis Completion Status

Completed

Subject

Software Engineering

Language

English

Link

http://vspace.vu.edu.pk/detail.aspx?id=110

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676720969275

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In the last two years of using mobile apps, world today expanded its readership as much as it did in the first 29 years of its existence. Accessing the usability issues allows improving its users more. For this, one trendy method for detecting usability evaluation is heuristic evaluation. In this traditional usability evaluation method, evaluators use a set of usability heuristic as a guide or set of principles. A Standard set of heuristic provided by Nielsen is good but it is not sufficient to fulfill the usability issue of mobile applications in context of domain (specifically for News Applications). Especially, related to the gestures which are more common in touch screen mobiles. Therefore, the objective of this study is to create new/Modified set of heuristic for News mobile applications to find out the usability issues. To do so, we reviewed previous studies specific to the mobile domain and try to find out the missing factors in these studies. We checked the applicability of different heuristics on mobile applications proposed in previous studies (i.e Nielsen?s and Rodolfo?s) as well as newly suggested heuristics.In this paper, we present a modified list with 14 set of heuristic for Mobile News Media Applications, also some for their gestural operations. Based on this heuristic we conducted evaluation; so, those weaknesses found in this way provide useful hints in making improvement to news applications. Overall, we find out that using the newly suggested set of heuristic found very useful for evaluators to find more usability problems on mobile media news applications efficiently and effectively.
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