The University of Southampton
University of Southampton Institutional Repository

Content- and lighting-aware adaptive brightness scaling for improved mobile user experience

Content- and lighting-aware adaptive brightness scaling for improved mobile user experience
Content- and lighting-aware adaptive brightness scaling for improved mobile user experience

For an improved user experience, the display sub-system is expected to provide superior resolution and optimal brightness despite its impact on battery life. Existing brightness scaling approaches set the display brightness statically or adaptively in response to predefined events such as low-battery or ambient light of the environment, which are independent of the displayed content. Approaches that consider the displayed content are either limited to video content or do not account for the user's expected battery life, thereby failing to maximise the user experience. This paper proposes Content- and ambient Lighting-aware Adaptive Brightness Scaling in mobile devices that maximises user experience while meeting battery life expectations. The approach employs a content- and ambient lighting-aware profiler that learns and classifies each sample into predefined clusters at runtime by leveraging insights on user perceptions of content and ambient luminance variations. We maximise user experience through adaptive scaling of the display's brightness using an energy prediction model that determines appropriate brightness levels while meeting expected battery life. The evaluation of the proposed approach on a commercial smartphone improves Quality of Experience (QoE) by up to 24.5 % compared to state-of-art.

Battery life Management, Brightness Scaling, Display Management, Mobile Devices, User Experience
IEEE
Isuwa, Samuel
e15134be-5335-454e-8a42-72acae47804a
Amos, David
9c148e69-a5cc-4435-bf31-e8cafd9234fc
Singh, Amit Kumar
9cb3376a-f07e-40cf-8ac7-0c3fd001db0a
Al-Hashimi, Bashir M.
3290197f-e374-4e7f-ab7a-4d5a81109daf
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020
Isuwa, Samuel
e15134be-5335-454e-8a42-72acae47804a
Amos, David
9c148e69-a5cc-4435-bf31-e8cafd9234fc
Singh, Amit Kumar
9cb3376a-f07e-40cf-8ac7-0c3fd001db0a
Al-Hashimi, Bashir M.
3290197f-e374-4e7f-ab7a-4d5a81109daf
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020

Isuwa, Samuel, Amos, David, Singh, Amit Kumar, Al-Hashimi, Bashir M. and Merrett, Geoff (2023) Content- and lighting-aware adaptive brightness scaling for improved mobile user experience. In 2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Proceedings. IEEE. 2 pp . (doi:10.23919/DATE56975.2023.10136915).

Record type: Conference or Workshop Item (Paper)

Abstract

For an improved user experience, the display sub-system is expected to provide superior resolution and optimal brightness despite its impact on battery life. Existing brightness scaling approaches set the display brightness statically or adaptively in response to predefined events such as low-battery or ambient light of the environment, which are independent of the displayed content. Approaches that consider the displayed content are either limited to video content or do not account for the user's expected battery life, thereby failing to maximise the user experience. This paper proposes Content- and ambient Lighting-aware Adaptive Brightness Scaling in mobile devices that maximises user experience while meeting battery life expectations. The approach employs a content- and ambient lighting-aware profiler that learns and classifies each sample into predefined clusters at runtime by leveraging insights on user perceptions of content and ambient luminance variations. We maximise user experience through adaptive scaling of the display's brightness using an energy prediction model that determines appropriate brightness levels while meeting expected battery life. The evaluation of the proposed approach on a commercial smartphone improves Quality of Experience (QoE) by up to 24.5 % compared to state-of-art.

Text
CLABS_paper - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (343kB)
Text
Content-_and_Lighting-Aware_Adaptive_Brightness_Scaling_for_Improved_Mobile_User_Experience - Version of Record
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 21 November 2022
e-pub ahead of print date: 2 June 2023
Published date: 2 June 2023
Additional Information: Funding Information: This study was supported in part by the Petroleum Technology Development Fund (PTDF). Publisher Copyright: © 2023 EDAA.
Venue - Dates: Design, Automation and Test in Europe Conference and Exhibition, , Antwerp, Belgium, 2023-04-17 - 2023-04-19
Keywords: Battery life Management, Brightness Scaling, Display Management, Mobile Devices, User Experience

Identifiers

Local EPrints ID: 477540
URI: http://eprints.soton.ac.uk/id/eprint/477540
PURE UUID: 5cffc4a2-34c4-4817-abfe-35ebb6a94bce
ORCID for Samuel Isuwa: ORCID iD orcid.org/0000-0002-2235-4091
ORCID for Geoff Merrett: ORCID iD orcid.org/0000-0003-4980-3894

Catalogue record

Date deposited: 07 Jun 2023 17:17
Last modified: 06 Jun 2024 04:22

Export record

Altmetrics

Contributors

Author: Samuel Isuwa ORCID iD
Author: David Amos
Author: Amit Kumar Singh
Author: Bashir M. Al-Hashimi
Author: Geoff Merrett ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×