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FLUID-XP: Flexible User Interface Distribution for Cross-Platform Experience

Title
FLUID-XP: Flexible User Interface Distribution for Cross-Platform Experience
Author(s)
Lee, SunjaeLee, HayeonKim, HoyoungLee, SangminChoi, Jeong WoonLee, YuseungLee, SeonoKim, AhyeonSong, Jean Y.Oh, SangeunKo, Steven Y.Shin, Insik
Issued Date
2022-03-31
Citation
27th ACM Annual International Conference On Mobile Computing And Networking, MobiCom 2021, pp.762 - 774
Type
Conference Paper
ISBN
9781450383424/22
Abstract
Being able to use a single app across multiple devices can bring novel experiences to the users in various domains including entertainment and productivity. For instance, a user of a video editing app would be able to use a smart pad as a canvas and a smartphone as a remote toolbox so that the toolbox does not occlude the canvas during editing. However, existing approaches do not properly support the single-app multi-device execution due to several limitations, including high development cost, device heterogeneity, and high performance requirement. In this paper, we introduce FLUID-XP, a novel cross-platform multi-device system that enables UIs of a single app to be executed across heterogeneous platforms, while overcoming the limitations of previous approaches. FLUID-XP provides flexible, efficient, and seamless interactions by addressing three main challenges: i) how to transparently enable a single-display app to use multiple displays, ii) how to distribute UIs across heterogeneous devices with minimal network traffic, and iii) how to optimize the UI distribution process when multiple UIs have different distribution requirements. Our experiments with a working prototype of FLUID-XP on Android confirm that FLUID-XP successfully supports a variety of unmodified real-world apps across heterogeneous platforms (Android, iOS, and Linux). We also conduct a lab study with 25 participants to demonstrate the effectiveness of FLUID-XP with real users.
URI
http://hdl.handle.net/20.500.11750/46862
DOI
10.1145/3447993.3483245
Publisher
Association for Computing Machinery
Related Researcher
  • 송진영 Song, Jean Young
  • Research Interests 인간-기계 상호작용; 인간-AI 상호작용; 크라우드소싱; 인공지능 데이터셋; 컴퓨터비전; Human-Computer Interaction; Artificial Intelligence; Human-AI Collaboration; Crowdsourcing; Computer Vision
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Appears in Collections:
Department of Electrical Engineering and Computer Science DGIST Intelligence Augmentation Group 2. Conference Papers

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