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Detecting usability problems in mobile applications on the basis of dissimilarity in user behavior

  • Published:2020-07 Issue: Volume:139 Page:102364
  • ISSN:1071-5819
  • Container-title:International Journal of Human-Computer Studies
  • language:en
  • Short-container-title:International Journal of Human-Computer Studies

Author:

Jeong JongWookORCID,Kim NeungHoe,In Hoh Peter

Publisher

Elsevier BV

Subject

Hardware and Architecture,Human-Computer Interaction,General Engineering,Education,Human Factors and Ergonomics,Software

Reference29 articles.

1. Automated model-based android GUI testing using multi-level GUI comparison criteria;Baek,2016

2. Measuring the similarity of labeled graphs;Champin,2003

3. ERICA: interaction mining mobile apps;Deka,2016

4. Generating automated predictions of behavior strategically adapted to specific performance objectives;Eng,2006

5. A usability study of iPhone built-in applications;Faliagka;Behav. Inform. Techn.,2015

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1. Exploring the Impact of Artificial Intelligence-Generated Content (AIGC) Tools on Social Dynamics in UX Collaboration;Designing Interactive Systems Conference;2024-07

2. Enhancing UX Evaluation Through Collaboration with Conversational AI Assistants: Effects of Proactive Dialogue and Timing;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

3. Usability Testing of Mobile Applications: A Methodological Framework;Applied Sciences;2024-02-22

4. User Behavior Mining;Business & Information Systems Engineering;2024-01-05

5. Collaboration with Conversational AI Assistants for UX Evaluation: Questions and How to Ask them (Voice vs. Text);Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19
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