A2W: Context-Aware Recommendation System for Mobile Augmented Reality Web Browser

Kit Yung Lam; Lik Hang Lee; Pan Hui

doi:10.1145/3474085.3475413

A2W: Context-Aware Recommendation System for Mobile Augmented Reality Web Browser

Kit Yung Lam^*, Lik Hang Lee, Pan Hui

^*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

31 Citations (Scopus)

Abstract

Augmented Reality (AR) offers new capabilities for blurring the boundaries between physical reality and digital media. However, the capabilities of integrating web contents and AR remain underexplored. This paper presents an AR web browser with an integrated context-aware AR-to-Web content recommendation service named as A2W browser, to provide continuously user-centric web browsing experiences driven by AR headsets. We implement the A2W browser on an AR headset as our demonstration application, demonstrating the features and performance of A2W framework. The A2W browser visualizes the AR-driven web contents to the user, which is suggested by the content-based filtering model in our recommendation system. In our experiments, 20 participants with the adaptive UIs and recommendation system in A2W browser achieve up to 30.69% time saving compared to smartphone conditions. Accordingly, A2W-supported web browsing on workstations facilitates the recommended information leading to 41.67% faster reaches to the target information than typical web browsing.

Original language	English
Title of host publication	MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia
Publisher	Association for Computing Machinery, Inc
Pages	2447-2455
Number of pages	9
ISBN (Electronic)	9781450386517
DOIs	https://doi.org/10.1145/3474085.3475413
Publication status	Published - 17 Oct 2021
Externally published	Yes
Event	29th ACM International Conference on Multimedia, MM 2021 - Virtual, Online, China Duration: 20 Oct 2021 → 24 Oct 2021

Publication series

Name	MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia

Conference

Conference	29th ACM International Conference on Multimedia, MM 2021
Country/Territory	China
City	Virtual, Online
Period	20/10/21 → 24/10/21

Bibliographical note

Publisher Copyright:
© 2021 ACM.

Keywords

augmented reality
interaction in-the-wild
mixed reality
multi-device collaboration
recommendation systems
web browser

Access to Document

10.1145/3474085.3475413

Cite this

Lam, K. Y., Lee, L. H., & Hui, P. (2021). A2W: Context-Aware Recommendation System for Mobile Augmented Reality Web Browser. In MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia (pp. 2447-2455). (MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia). Association for Computing Machinery, Inc. https://doi.org/10.1145/3474085.3475413

@inproceedings{3c960a3df7e04c18817c2c8169a14dce,

title = "A2W: Context-Aware Recommendation System for Mobile Augmented Reality Web Browser",

abstract = "Augmented Reality (AR) offers new capabilities for blurring the boundaries between physical reality and digital media. However, the capabilities of integrating web contents and AR remain underexplored. This paper presents an AR web browser with an integrated context-aware AR-to-Web content recommendation service named as A2W browser, to provide continuously user-centric web browsing experiences driven by AR headsets. We implement the A2W browser on an AR headset as our demonstration application, demonstrating the features and performance of A2W framework. The A2W browser visualizes the AR-driven web contents to the user, which is suggested by the content-based filtering model in our recommendation system. In our experiments, 20 participants with the adaptive UIs and recommendation system in A2W browser achieve up to 30.69\% time saving compared to smartphone conditions. Accordingly, A2W-supported web browsing on workstations facilitates the recommended information leading to 41.67\% faster reaches to the target information than typical web browsing.",

keywords = "augmented reality, interaction in-the-wild, mixed reality, multi-device collaboration, recommendation systems, web browser",

author = "Lam, \{Kit Yung\} and Lee, \{Lik Hang\} and Pan Hui",

note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 29th ACM International Conference on Multimedia, MM 2021 ; Conference date: 20-10-2021 Through 24-10-2021",

year = "2021",

month = oct,

day = "17",

doi = "10.1145/3474085.3475413",

language = "English",

series = "MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia",

publisher = "Association for Computing Machinery, Inc",

pages = "2447--2455",

booktitle = "MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia",

}

Lam, KY, Lee, LH & Hui, P 2021, A2W: Context-Aware Recommendation System for Mobile Augmented Reality Web Browser. in MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia. MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia, Association for Computing Machinery, Inc, pp. 2447-2455, 29th ACM International Conference on Multimedia, MM 2021, Virtual, Online, China, 20/10/21. https://doi.org/10.1145/3474085.3475413

A2W: Context-Aware Recommendation System for Mobile Augmented Reality Web Browser. / Lam, Kit Yung; Lee, Lik Hang; Hui, Pan.
MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia. Association for Computing Machinery, Inc, 2021. p. 2447-2455 (MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - A2W

T2 - 29th ACM International Conference on Multimedia, MM 2021

AU - Lam, Kit Yung

AU - Lee, Lik Hang

AU - Hui, Pan

PY - 2021/10/17

Y1 - 2021/10/17

N2 - Augmented Reality (AR) offers new capabilities for blurring the boundaries between physical reality and digital media. However, the capabilities of integrating web contents and AR remain underexplored. This paper presents an AR web browser with an integrated context-aware AR-to-Web content recommendation service named as A2W browser, to provide continuously user-centric web browsing experiences driven by AR headsets. We implement the A2W browser on an AR headset as our demonstration application, demonstrating the features and performance of A2W framework. The A2W browser visualizes the AR-driven web contents to the user, which is suggested by the content-based filtering model in our recommendation system. In our experiments, 20 participants with the adaptive UIs and recommendation system in A2W browser achieve up to 30.69% time saving compared to smartphone conditions. Accordingly, A2W-supported web browsing on workstations facilitates the recommended information leading to 41.67% faster reaches to the target information than typical web browsing.

AB - Augmented Reality (AR) offers new capabilities for blurring the boundaries between physical reality and digital media. However, the capabilities of integrating web contents and AR remain underexplored. This paper presents an AR web browser with an integrated context-aware AR-to-Web content recommendation service named as A2W browser, to provide continuously user-centric web browsing experiences driven by AR headsets. We implement the A2W browser on an AR headset as our demonstration application, demonstrating the features and performance of A2W framework. The A2W browser visualizes the AR-driven web contents to the user, which is suggested by the content-based filtering model in our recommendation system. In our experiments, 20 participants with the adaptive UIs and recommendation system in A2W browser achieve up to 30.69% time saving compared to smartphone conditions. Accordingly, A2W-supported web browsing on workstations facilitates the recommended information leading to 41.67% faster reaches to the target information than typical web browsing.

KW - augmented reality

KW - interaction in-the-wild

KW - mixed reality

KW - multi-device collaboration

KW - recommendation systems

KW - web browser

UR - https://www.scopus.com/pages/publications/85119367796

U2 - 10.1145/3474085.3475413

DO - 10.1145/3474085.3475413

M3 - Conference Paper published in a book

AN - SCOPUS:85119367796

T3 - MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia

SP - 2447

EP - 2455

BT - MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia

PB - Association for Computing Machinery, Inc

Y2 - 20 October 2021 through 24 October 2021

ER -

A2W: Context-Aware Recommendation System for Mobile Augmented Reality Web Browser

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this