Conference Paper/Proceeding/Abstract 249 views
User Preferences for Smart Applications for a Self-Powered Tabletop Gestural Interface
Human Interaction and Emerging Technologies (IHIET-AI 2024): Artificial Intelligence and Future Applications, Volume: 120, Pages: 24 - 36
Swansea University Author: Deepak Sahoo
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DOI (Published version): 10.54941/ahfe1004552
Abstract
Nowadays, technologies and applications have become remarkably widespread and versatile. This versatility lies in their ability to be adapted and controlled by users through different kinds of interfaces. A self-powered tabletop gestural interface presents a significant technological advancement in...
Published in: | Human Interaction and Emerging Technologies (IHIET-AI 2024): Artificial Intelligence and Future Applications |
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ISSN: | 2771-0718 |
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AHFE International
2024
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URI: | https://cronfa.swan.ac.uk/Record/cronfa66064 |
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v2 66064 2024-04-15 User Preferences for Smart Applications for a Self-Powered Tabletop Gestural Interface c7b57876957049ac9718ff1b265fb2ce 0000-0002-4421-7549 Deepak Sahoo Deepak Sahoo true false 2024-04-15 MACS Nowadays, technologies and applications have become remarkably widespread and versatile. This versatility lies in their ability to be adapted and controlled by users through different kinds of interfaces. A self-powered tabletop gestural interface presents a significant technological advancement in a sustainable manner, resulting in energy-harvesting technologies that alter the concept of power consumption. However, determining the applications for some gestural interfaces to align with users' requirements and preferences requires further consideration. To this end, we conducted a survey and a semi-structured interview through a user-centred design (UCD) approach with 20 end-users in pairs to increase engagement between participants in selecting a smart application for a self-powered gestural interface. We presented the self-powered gestural interface with eight different applications and domains determined from the literature. Our findings indicated that users may find one application more beneficial than the other based on the quantitative data. In addition, our qualitative investigation focused on the reasons behind the ratings, where we used open coding from participant interviews and conducted a thematic analysis that revealed three high-level themes: touchless gestures, user experience, and other applications. Ultimately, the combination of users' feedback from quantitative and qualitative means led us to capture the selected application by users and build on it in future research. Conference Paper/Proceeding/Abstract Human Interaction and Emerging Technologies (IHIET-AI 2024): Artificial Intelligence and Future Applications 120 24 36 AHFE International 2771-0718 Self-powered tabletop gestural interface, User-centred design, Smart application, Touchless gestures 25 4 2024 2024-04-25 10.54941/ahfe1004552 http://dx.doi.org/10.54941/ahfe1004552 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University Not Required 2024-06-19T15:31:49.3258569 2024-04-15T17:54:11.4471999 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Nora Almania 1 Sarah Alhouli 2 Deepak Sahoo 0000-0002-4421-7549 3 |
title |
User Preferences for Smart Applications for a Self-Powered Tabletop Gestural Interface |
spellingShingle |
User Preferences for Smart Applications for a Self-Powered Tabletop Gestural Interface Deepak Sahoo |
title_short |
User Preferences for Smart Applications for a Self-Powered Tabletop Gestural Interface |
title_full |
User Preferences for Smart Applications for a Self-Powered Tabletop Gestural Interface |
title_fullStr |
User Preferences for Smart Applications for a Self-Powered Tabletop Gestural Interface |
title_full_unstemmed |
User Preferences for Smart Applications for a Self-Powered Tabletop Gestural Interface |
title_sort |
User Preferences for Smart Applications for a Self-Powered Tabletop Gestural Interface |
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c7b57876957049ac9718ff1b265fb2ce |
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c7b57876957049ac9718ff1b265fb2ce_***_Deepak Sahoo |
author |
Deepak Sahoo |
author2 |
Nora Almania Sarah Alhouli Deepak Sahoo |
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Conference Paper/Proceeding/Abstract |
container_title |
Human Interaction and Emerging Technologies (IHIET-AI 2024): Artificial Intelligence and Future Applications |
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120 |
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24 |
publishDate |
2024 |
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Swansea University |
issn |
2771-0718 |
doi_str_mv |
10.54941/ahfe1004552 |
publisher |
AHFE International |
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Faculty of Science and Engineering |
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School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
url |
http://dx.doi.org/10.54941/ahfe1004552 |
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description |
Nowadays, technologies and applications have become remarkably widespread and versatile. This versatility lies in their ability to be adapted and controlled by users through different kinds of interfaces. A self-powered tabletop gestural interface presents a significant technological advancement in a sustainable manner, resulting in energy-harvesting technologies that alter the concept of power consumption. However, determining the applications for some gestural interfaces to align with users' requirements and preferences requires further consideration. To this end, we conducted a survey and a semi-structured interview through a user-centred design (UCD) approach with 20 end-users in pairs to increase engagement between participants in selecting a smart application for a self-powered gestural interface. We presented the self-powered gestural interface with eight different applications and domains determined from the literature. Our findings indicated that users may find one application more beneficial than the other based on the quantitative data. In addition, our qualitative investigation focused on the reasons behind the ratings, where we used open coding from participant interviews and conducted a thematic analysis that revealed three high-level themes: touchless gestures, user experience, and other applications. Ultimately, the combination of users' feedback from quantitative and qualitative means led us to capture the selected application by users and build on it in future research. |
published_date |
2024-04-25T15:31:48Z |
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11.035634 |