Dataset supporting the article 'Maximising mobile user experience through self-adaptive content- and ambient-aware display brightness scaling'
Dataset supporting the article 'Maximising mobile user experience through self-adaptive content- and ambient-aware display brightness scaling'
This dataset supports the publication 'Maximising Mobile User Experience through Self-Adaptive Content- and Ambient-aware Display Brightness Scaling' to be published in the Journal of Systems Architecture.
Mobile devices, User experience, Display brightness Scaling, Battery life management
University of Southampton
Isuwa, Samuel
e15134be-5335-454e-8a42-72acae47804a
Amos, David
9c148e69-a5cc-4435-bf31-e8cafd9234fc
Singh, Amit Kumar
bded7886-24ab-4a24-8539-f8fe106426ac
Al-Hashimi, Bashir
32946be3-e73a-4742-b5cd-8e840748aad2
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020
Isuwa, Samuel
e15134be-5335-454e-8a42-72acae47804a
Amos, David
9c148e69-a5cc-4435-bf31-e8cafd9234fc
Singh, Amit Kumar
bded7886-24ab-4a24-8539-f8fe106426ac
Al-Hashimi, Bashir
32946be3-e73a-4742-b5cd-8e840748aad2
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020
Isuwa, Samuel
(2023)
Dataset supporting the article 'Maximising mobile user experience through self-adaptive content- and ambient-aware display brightness scaling'.
University of Southampton
doi:10.5258/SOTON/D2837
[Dataset]
Abstract
This dataset supports the publication 'Maximising Mobile User Experience through Self-Adaptive Content- and Ambient-aware Display Brightness Scaling' to be published in the Journal of Systems Architecture.
Archive
Dataset.zip
- Dataset
Text
README.txt
- Dataset
More information
Published date: 2023
Keywords:
Mobile devices, User experience, Display brightness Scaling, Battery life management
Identifiers
Local EPrints ID: 483234
URI: http://eprints.soton.ac.uk/id/eprint/483234
PURE UUID: f8979a5c-677c-46fa-9c48-5a2d9fbf6ed6
Catalogue record
Date deposited: 26 Oct 2023 16:51
Last modified: 27 Oct 2023 02:08
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Contributors
Creator:
Samuel Isuwa
Contributor:
David Amos
Research team head:
Amit Kumar Singh
Research team head:
Bashir Al-Hashimi
Research team head:
Geoff Merrett
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