37477 |
Creator |
33176de85668f22561aacf9a043c5537 |
37477 |
Creator |
e0b7fd620a538ed1e211c81a48d5a5fd |
37477 |
Creator |
f069ba2e7550827a63a7494028d0ed9e |
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Date |
2013 |
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Is Part Of |
repository |
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abstract |
Bloated software systems encompass a large number of features resulting in an increase
in visual complexity. Enterprise applications are a common example of such types of
systems. Since many users only use a distinct subset of the available features, providing
a mechanism to tailor user interfaces according to each user’s needs helps in decreasing
the bloat thereby reducing the visual complexity. Crowdsourcing can be a means for
speeding up the adaptation process by engaging and leveraging the enterprise application
communities. This paper presents a tool supported model-driven mechanism for crowdsourcing
user interface adaptations. We evaluate our proposed mechanism and tool through a
basic preliminary user study. |
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authorList |
authors |
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presentedAt |
ext-5dbdee1b9ca93b327f0e68721bcd55cb |
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status |
peerReviewed |
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uri |
http://data.open.ac.uk/oro/document/149780 |
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uri |
http://data.open.ac.uk/oro/document/149781 |
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uri |
http://data.open.ac.uk/oro/document/149782 |
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uri |
http://data.open.ac.uk/oro/document/149783 |
37477 |
uri |
http://data.open.ac.uk/oro/document/149784 |
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uri |
http://data.open.ac.uk/oro/document/149785 |
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uri |
http://data.open.ac.uk/oro/document/150443 |
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type |
AcademicArticle |
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type |
Article |
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label |
Akiki, Pierre ; Bandara, Arosha and Yu, Yijun (2013). Crowdsourcing user interface
adaptations for minimizing the bloat in enterprise applications. In: Fifth ACM SIGCHI
Symposium on Engineering Interactive Computing Systems (EICS 2013), 24-27 Jun 2013,
London, UK. |
37477 |
label |
Akiki, Pierre ; Bandara, Arosha and Yu, Yijun (2013). Crowdsourcing user interface
adaptations for minimizing the bloat in enterprise applications. In: Fifth ACM SIGCHI
Symposium on Engineering Interactive Computing Systems (EICS 2013), 24-27 Jun 2013,
London, UK. |
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Title |
Crowdsourcing user interface adaptations for minimizing the bloat in enterprise applications |
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in dataset |
oro |