Nguyen, Thi Ngoc ORCID: 0000-0003-1011-8937, Zuniga, Agustin ORCID: 0000-0002-6481-3559, Flores, Huber ORCID: 0000-0003-4551-629X, Lee, Hyowon ORCID: 0000-0003-4395-7702, Perrault, Simon ORCID: 0000-0002-3105-9350 and Nurmi, Petteri ORCID: 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 Institutes 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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