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Intelligent shifting cues: increasing the awareness of multi-device interaction opportunities

Nguyen, Thi Ngoc orcid logoORCID: 0000-0003-1011-8937, Zuniga, Agustin orcid logoORCID: 0000-0002-6481-3559, Flores, Huber orcid logoORCID: 0000-0003-4551-629X, Lee, Hyowon orcid logoORCID: 0000-0003-4395-7702, Perrault, Simon orcid logoORCID: 0000-0002-3105-9350 and Nurmi, Petteri orcid logoORCID: 0000-0001-8262-6434 (2021) Intelligent shifting cues: increasing the awareness of multi-device interaction opportunities. In: 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2021), 21-25 June 2021, Utrecht, The Netherlands. ISBN 978-1-4503-8366-0

Abstract
The ever-increasing ubiquity of smart devices is creating new opportunities for people to interact and engage with digital information using multiple devices. In the simplest case this can refer to choosing which device to use for a particular task (e.g., phone, laptop or smartwatch), whereas a more complex example is simultaneously taking advantage of the capabilities of different devices (e.g., lap- top and smart TV). Despite these types of opportunities becoming increasing available, currently the full potential of multi-device in- teractions is not being realized as people struggle to take advantage of them. As our first contribution, we study people’s willingness to engage with multi-device interactions and rank the factors that mediate this response through an online survey (
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Opportunistic; Collaborative; Shifting cues; Device shift; Multidevice interaction
Subjects:Computer Science > Interactive computer systems
Computer Science > Surfaces
Computer Science > Visualization
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Published in: Proceedings of the 29th Conference on User Modeling, Adaptation and Personalization (UMAP 2021). . Association for Computing Machinery (ACM). ISBN 978-1-4503-8366-0
Publisher:Association for Computing Machinery (ACM)
Official URL:https://dx.doi.org/10.1145/3450613.3456839
Copyright Information:© 2021 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Regional Funds through the IT Academy Programme
ID Code:25840
Deposited On:12 May 2021 12:13 by Hyowon Lee . Last Modified 05 Jul 2021 17:15
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