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Automatic Detection of Usability Smells in Web Applications running in mobile devices

Published: 03 November 2020 Publication History

Abstract

Currently, the use of mobile devices, mainly smartphones, has been gradually increasing due to the increasing development of mobile technologies. However, it is often the case that web applications are not tested on mobile devices which has led to, among others, usability errors. Therefore, the importance of usability testing in mobile devices has been increasing, but it is costly and time-consuming; the use of these devices in many cases cannot be replicated solely in a laboratory, but it should be replicated in the field which is more complex to implement. In addition to these usability testing and to reduce the time and complexity of testing in these devices, we proposed an automatic approach to identify indicators of usability problems (Usability Smells). To do so, we implemented a process of pattern matching in the tool UseSkill and proposed Usability Smells and their corresponding patterns for this context. This tool uses the data from the interactions of the user with a Mobile Web Application, discovering Usability Smells. This new process was experimented in two study cases with two applications where it collected data of participants who used it on a mobile device (smartphone). The results obtained were promising in identifying usability smells in relation to usability problems.

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Cited By

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  • (2022)Definition of Guideline-Based Metrics to Evaluate AAL Ecosystem’s UsabilityHuman Behavior and Emerging Technologies10.1155/2022/89390722022(1-19)Online publication date: 14-Nov-2022

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SBSI '20: Proceedings of the XVI Brazilian Symposium on Information Systems
November 2020
371 pages
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 November 2020

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Author Tags

  1. pattern matching
  2. usability
  3. usability evaluation
  4. usability smells

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SBSI'20
SBSI'20: XVI Brazilian Symposium on Information Systems
November 3 - 6, 2020
São Bernardo do Campo, Brazil

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Cited By

View all
  • (2022)Definition of Guideline-Based Metrics to Evaluate AAL Ecosystem’s UsabilityHuman Behavior and Emerging Technologies10.1155/2022/89390722022(1-19)Online publication date: 14-Nov-2022

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