Record link: 
http://hdl.handle.net/20.500.12708/221543
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Title: 
What is Familiar is Usable: Evaluating the Impact of Familiarity on User Experience and Usability in Mobile App Stores
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Citation: 
Wimmer, C., Erceg, S., & Grechenig, T. (2025). What is Familiar is Usable: Evaluating the Impact of Familiarity on User Experience and Usability in Mobile App Stores. In N. Yamashita, V. Evers, K. Yatani, & X. (Sharon) Ding (Eds.), CHI EA ’25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 1–6). Association for Computing Machinery. https://doi.org/10.1145/3706599.3719769
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Publisher DOI: 
10.1145/3706599.3719769
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Wimmer, Christoph 
Erceg, Stefan 
Grechenig, Thomas 
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Organisational Unit: 
E194-03 - Forschungsbereich Business Informatics 
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Published in: 
CHI EA '25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems 
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ISBN: 
979-8-4007-1395-8
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Date (published): 
2025
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Event name: 
2025 CHI Conference on Human Factors in Computing Systems 
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Event date: 
26-Apr-2025 - 1-May-2025
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Event place: 
Yokohama, Japan
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Number of Pages: 
6
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Publisher: 
Association for Computing Machinery, New York
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Peer reviewed: 
Yes
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Keywords: 
App Stores; Change Resistance; Familiarity; User Experience
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Abstract: 
This study evaluates how familiarity influences UX ratings of Apple App Store and Google Play Store among 40 iPhone and Android users using the User Experience Questionnaire (UEQ). Participants rated their familiar app store highly, while the unfamiliar store scored lower, particularly on pragmatic usability factors like perspicuity, efficiency and dependability. Results highlight the challenge of overcoming resistance to change and the need for alternative platforms to address usability barriers. These findings offer insights for fostering user adoption and competition in mobile app ecosystems.
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
1020 - Informatik: 90%
5020 - Wirtschaftswissenschaften: 10%
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Appears in Collections:
Conference Paper

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