Fluid: Flexible User Interface Distribution for Ubiquitous Multi-Device Interaction

Oh, Sangeun; Kim, Ahyeon; Lee, Sunjae; Lee, Kilho; Jeong, Dae R.; Shin, Insik; Ko, Steven Y.

doi:10.1145/3400713.3400719

Cited by 7 publications

(7 citation statements)

References 4 publications

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“…In addition, in the process of cross-device, users will encounter some difficulties, a survey identified the challenges of switching between different devices (Alvina et al, 2020). To support cross-device interaction, researchers have designed systems and frameworks, like the YanuX framework (Santos et al, 2018) and the FLUID platform (Oh et al, 2019). Taking properties of cross-device systems and fixed and semi-fixed features of the environment into consideration, Grønbaek et al (2020) adopted the method based on proximity to design cross-device interaction.…”

Section: Literature Review 21 Search Behavior In Cross-device Interac...mentioning

confidence: 99%

Users' mental models of cross-device search under controlled and autonomous motivations

Dong

Duan²,

Liang³

2022

AJIM

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PurposeExisting literature has elicited the external behaviors of cross-device search but not much is known about users' cognition of cross-device search. The study aims to explore how users perceive the cross-device search by combining with the mental models and how motivations affect the users' understanding of cross-device search.Design/methodology/approachThe research questions are addressed through semi-structured face-to-face interviews with 59 users. Prior to the interview, the user is asked to complete a cross-device search task designed with the simulation of controlled and autonomous motivations to gain a real experience. The concepts of mental models are coded according to the constructivist grounded theory method.FindingsThe study finds the users' mental models of cross-device search consist of four dimensions: Element, Quality, Function and Issue. The effect of motivation on the mental models is tested as significant in terms of the Quality and Function aspects. The controlled motivation affects the user's perception of how the device switch influence the search and the autonomous motivation influences the user's opinion of search system functions.Originality/valueThe contribution of this study is found to extend the existing knowledge of cross-device search and update the mental models of information search in the current multi-device environment. The findings inform the future study of cross-device search and practices of search system design.

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Section: Literature Review 21 Search Behavior In Cross-device Interac...mentioning

confidence: 99%

Users' mental models of cross-device search under controlled and autonomous motivations

Dong

Duan²,

Liang³

2022

AJIM

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“…Flux [38] migrates apps across Android systems. FLUID [59] introduces a system to migrate or replicate user interface (UI) elements in apps to nearby systems. DynaMix [20] provides a restrictive framework for efficiently sharing resources such as CPU, memory, and storage over different IoT devices.…”

Section: Related Workmentioning

confidence: 99%

Tap

AlDuaij

Nieh

2021

Proceedings of the 19th Annual International Conference on Mobile Systems, Applications, and Services

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As smartphones and tablets have become ubiquitous, there is a growing demand for apps that can enable users to collaboratively use multiple mobile systems. We present Tap, a framework that makes it easy for users to dynamically compose collections of mobile systems and developers to write apps that make use of those impromptu collections. Tap users control the composition by simply tapping systems together for discovery and authentication. The physical interaction mimics and supports ephemeral user interactions without the need for tediously exchanging user contact information such as phone numbers or email addresses. Tapping triggers a simple NFC-based mechanism to exchange connectivity information and security credentials that works across heterogeneous networks and requires no user accounts or cloud infrastructure support. Tap makes it possible for apps to use existing mobile platform APIs across multiple mobile systems by virtualizing data sources so that local and remote data sources can be combined together upon tapping. Virtualized data sources can be hardware or software features, including media, clipboard, calendar events, and devices such as cameras and microphones. Leveraging existing mobile platform APIs makes it easy for developers to write apps that use hardware and software features across dynamically composed collections of mobile systems. We have implemented a Tap prototype that allows apps to make use of both unmodified Android and iOS systems. We have modified and implemented various apps using Tap to demonstrate that it is easy to use and can enable apps to provide powerful new functionality by leveraging multiple mobile systems. Our results show that Tap has good performance, even for high-bandwidth features, and is user and developer friendly. CCS CONCEPTS• Human-centered computing → Ubiquitous and mobile devices; Ubiquitous and mobile computing systems and tools; Ubiquitous and mobile computing design and evaluation methods; • Software and its engineering → Software libraries and repositories; Development frameworks and environments; Middleware; Operating systems; Peer-to-peer architectures; API

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“…These approaches intend to augment capabilities of resource-constrained mobile devices by dynamically offloading computationally intensive tasks to resource-rich destinations. Existing frameworks use services from surrounding computing devices [2,17,30] or remote cloud machines [13,15,18,27,32,37], where specific protocols and offloading server counterparts are deployed at the offloading destinations, and does not incorporate the microservices architecture i.e., offloading framework specific server counterparts that support their offloading protocol needs to be installed at either surrounding computing devices or remote cloud machines, prior to execution of the application. While work presented in this paper is inspired by insights provided in previous work, REACT focuses on creating flexible mobile applications based on the microservice architecture supporting seamless offloading of local application functions to web services.…”

Section: Related Workmentioning

confidence: 99%

REACT: Distributed Mobile Microservice Execution Enabled by Efficient Inter-Process Communication

Chathura¹

2021

Preprint

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The increased mobile connectivity, the range and number of services available in various computing environments in the network, demand mobile applications to be highly dynamic to be able to efficiently incorporate those services into applications, along with other local capabilities on mobile devices. However, the monolithic structure and mostly static configuration of mobile application components today limit application's ability to dynamically manage internal components, to be able to adapt to the user and the environment, and utilize various services in the network for improving the application experience.In this paper, we present REACT, a new Android-based framework that enables apps to be developed as a collection of loosely coupled microservices (MS). It allows individual distribution, dynamic management and offloading of MS to be executed by services in the network, based on contextual changes. REACT aims to provide i) a framework as an Android Library for creating MS-based apps that adapt to contextual changes ii) a unified HTTP-based communication mechanism, using Android Inter-Process Communication (IPC) for transporting requests between locally running MS, while allowing flexible and transparent switching between network and IPC requests, when offloading. We evaluate REACT by implementing a video streaming app that dynamically offloads MS to web services in the network, adapting to contextual changes. The evaluation shows the adaptability to contextual changes and reductions in power consumption when offloading, while our communication mechanism overcomes performance limitations of Android IPC by enabling efficient transferring of large payloads between mobile MS.

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Fluid: Flexible User Interface Distribution for Ubiquitous Multi-Device Interaction

Cited by 7 publications

References 4 publications

Users' mental models of cross-device search under controlled and autonomous motivations

Users' mental models of cross-device search under controlled and autonomous motivations

Tap

REACT: Distributed Mobile Microservice Execution Enabled by Efficient Inter-Process Communication

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