No Cover Image

Journal article 262 views 29 downloads

Indoor Photovoltaic Interactive Surfaces for Sustainable Smart Home Control: Gesture Design using Guessability and Production Methods

Nora Almania Orcid Logo, Sarah Alhouli Orcid Logo, Deepak Sahoo Orcid Logo

Proceedings of the ACM on Human-Computer Interaction, Volume: 9, Issue: 8, Pages: 47 - 69

Swansea University Authors: Nora Almania Orcid Logo, Sarah Alhouli Orcid Logo, Deepak Sahoo Orcid Logo

  • 70052.VOR.pdf

    PDF | Version of Record

    © 2025 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution 4.0 International License.

    Download (15.44MB)

Check full text

DOI (Published version): 10.1145/3773060

Abstract

Indoor photovoltaic materials are novel low-cost light sensors that can be flexible, decorative, self-powered, and battery-free, and can be embedded in various surfaces throughout the home. They offer a unique opportunity for contextual control of multiple different devices in a smart home using gue...

Full description

Published in: Proceedings of the ACM on Human-Computer Interaction
ISSN: 2573-0142
Published: Association for Computing Machinery (ACM) 2025
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa70052
first_indexed 2025-07-29T22:02:05Z
last_indexed 2025-12-16T05:25:36Z
id cronfa70052
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2025-12-15T14:24:11.0720974</datestamp><bib-version>v2</bib-version><id>70052</id><entry>2025-07-29</entry><title>Indoor Photovoltaic Interactive Surfaces for Sustainable Smart Home Control: Gesture Design using Guessability and Production Methods</title><swanseaauthors><author><sid>1f6b6bce676ade8b4854d4f4f7cd7ce7</sid><ORCID>0000-0003-0830-2647</ORCID><firstname>Nora</firstname><surname>Almania</surname><name>Nora Almania</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>e1525e1e38ade4a94f7c0d2640efb1eb</sid><ORCID>0000-0002-2300-3031</ORCID><firstname>Sarah</firstname><surname>Alhouli</surname><name>Sarah Alhouli</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>c7b57876957049ac9718ff1b265fb2ce</sid><ORCID>0000-0002-4421-7549</ORCID><firstname>Deepak</firstname><surname>Sahoo</surname><name>Deepak Sahoo</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2025-07-29</date><abstract>Indoor photovoltaic materials are novel low-cost light sensors that can be flexible, decorative, self-powered, and battery-free, and can be embedded in various surfaces throughout the home. They offer a unique opportunity for contextual control of multiple different devices in a smart home using guessable and favorite gestures. Currently available gesture vocabularies are survey-based and sensor-agnostic, but still require experimental validation. Therefore, we present experimentally generated and validated original gesture vocabularies using two user elicitation methods, the guessability and production methods, for such sensors. The capabilities of the sensor was used to prime participants for design thinking to multi-control smart home devices. We provide guidelines for designing gesture vocabularies using the two elicitation methods and report on their similarities and differences. The methodological findings and experimentally validated gesture sets would inform HCI researchers in the design of user-elicited interactions for such versatile light or electromagnetic field sensors and similar gesture-driven applications.</abstract><type>Journal Article</type><journal>Proceedings of the ACM on Human-Computer Interaction</journal><volume>9</volume><journalNumber>8</journalNumber><paginationStart>47</paginationStart><paginationEnd>69</paginationEnd><publisher>Association for Computing Machinery (ACM)</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2573-0142</issnElectronic><keywords>Indoor Photovoltaic Materials; User-defined Hand Gestures; Elicitation Study; Gesture Guessability; Gesture Production; Interactive Surface; Smart Home Control</keywords><publishedDay>1</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-12-01</publishedDate><doi>10.1145/3773060</doi><url/><notes/><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm>SU Library paid the OA fee (TA Institutional Deal)</apcterm><funders>This work was supported by the Engineering and Physical Sciences Research Council grant EP/W025396/1.</funders><projectreference>EP/W025396/1</projectreference><lastEdited>2025-12-15T14:24:11.0720974</lastEdited><Created>2025-07-29T21:51:11.1673886</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Nora</firstname><surname>Almania</surname><orcid>0000-0003-0830-2647</orcid><order>1</order></author><author><firstname>Sarah</firstname><surname>Alhouli</surname><orcid>0000-0002-2300-3031</orcid><order>2</order></author><author><firstname>Deepak</firstname><surname>Sahoo</surname><orcid>0000-0002-4421-7549</orcid><order>3</order></author></authors><documents><document><filename>70052__35823__8ee06d7ef7a44bc2bf4a711067a5f50a.pdf</filename><originalFilename>70052.VOR.pdf</originalFilename><uploaded>2025-12-15T14:20:40.6658365</uploaded><type>Output</type><contentLength>16192023</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>&#xA9; 2025 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution 4.0 International License.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0</licence></document></documents><OutputDurs/></rfc1807>
spelling 2025-12-15T14:24:11.0720974 v2 70052 2025-07-29 Indoor Photovoltaic Interactive Surfaces for Sustainable Smart Home Control: Gesture Design using Guessability and Production Methods 1f6b6bce676ade8b4854d4f4f7cd7ce7 0000-0003-0830-2647 Nora Almania Nora Almania true false e1525e1e38ade4a94f7c0d2640efb1eb 0000-0002-2300-3031 Sarah Alhouli Sarah Alhouli true false c7b57876957049ac9718ff1b265fb2ce 0000-0002-4421-7549 Deepak Sahoo Deepak Sahoo true false 2025-07-29 Indoor photovoltaic materials are novel low-cost light sensors that can be flexible, decorative, self-powered, and battery-free, and can be embedded in various surfaces throughout the home. They offer a unique opportunity for contextual control of multiple different devices in a smart home using guessable and favorite gestures. Currently available gesture vocabularies are survey-based and sensor-agnostic, but still require experimental validation. Therefore, we present experimentally generated and validated original gesture vocabularies using two user elicitation methods, the guessability and production methods, for such sensors. The capabilities of the sensor was used to prime participants for design thinking to multi-control smart home devices. We provide guidelines for designing gesture vocabularies using the two elicitation methods and report on their similarities and differences. The methodological findings and experimentally validated gesture sets would inform HCI researchers in the design of user-elicited interactions for such versatile light or electromagnetic field sensors and similar gesture-driven applications. Journal Article Proceedings of the ACM on Human-Computer Interaction 9 8 47 69 Association for Computing Machinery (ACM) 2573-0142 Indoor Photovoltaic Materials; User-defined Hand Gestures; Elicitation Study; Gesture Guessability; Gesture Production; Interactive Surface; Smart Home Control 1 12 2025 2025-12-01 10.1145/3773060 COLLEGE NANME COLLEGE CODE Swansea University SU Library paid the OA fee (TA Institutional Deal) This work was supported by the Engineering and Physical Sciences Research Council grant EP/W025396/1. EP/W025396/1 2025-12-15T14:24:11.0720974 2025-07-29T21:51:11.1673886 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Nora Almania 0000-0003-0830-2647 1 Sarah Alhouli 0000-0002-2300-3031 2 Deepak Sahoo 0000-0002-4421-7549 3 70052__35823__8ee06d7ef7a44bc2bf4a711067a5f50a.pdf 70052.VOR.pdf 2025-12-15T14:20:40.6658365 Output 16192023 application/pdf Version of Record true © 2025 Copyright held by the owner/author(s). This work is licensed under a Creative Commons Attribution 4.0 International License. true eng https://creativecommons.org/licenses/by/4.0
title Indoor Photovoltaic Interactive Surfaces for Sustainable Smart Home Control: Gesture Design using Guessability and Production Methods
spellingShingle Indoor Photovoltaic Interactive Surfaces for Sustainable Smart Home Control: Gesture Design using Guessability and Production Methods
Nora Almania
Sarah Alhouli
Deepak Sahoo
title_short Indoor Photovoltaic Interactive Surfaces for Sustainable Smart Home Control: Gesture Design using Guessability and Production Methods
title_full Indoor Photovoltaic Interactive Surfaces for Sustainable Smart Home Control: Gesture Design using Guessability and Production Methods
title_fullStr Indoor Photovoltaic Interactive Surfaces for Sustainable Smart Home Control: Gesture Design using Guessability and Production Methods
title_full_unstemmed Indoor Photovoltaic Interactive Surfaces for Sustainable Smart Home Control: Gesture Design using Guessability and Production Methods
title_sort Indoor Photovoltaic Interactive Surfaces for Sustainable Smart Home Control: Gesture Design using Guessability and Production Methods
author_id_str_mv 1f6b6bce676ade8b4854d4f4f7cd7ce7
e1525e1e38ade4a94f7c0d2640efb1eb
c7b57876957049ac9718ff1b265fb2ce
author_id_fullname_str_mv 1f6b6bce676ade8b4854d4f4f7cd7ce7_***_Nora Almania
e1525e1e38ade4a94f7c0d2640efb1eb_***_Sarah Alhouli
c7b57876957049ac9718ff1b265fb2ce_***_Deepak Sahoo
author Nora Almania
Sarah Alhouli
Deepak Sahoo
author2 Nora Almania
Sarah Alhouli
Deepak Sahoo
format Journal article
container_title Proceedings of the ACM on Human-Computer Interaction
container_volume 9
container_issue 8
container_start_page 47
publishDate 2025
institution Swansea University
issn 2573-0142
doi_str_mv 10.1145/3773060
publisher Association for Computing Machinery (ACM)
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
description Indoor photovoltaic materials are novel low-cost light sensors that can be flexible, decorative, self-powered, and battery-free, and can be embedded in various surfaces throughout the home. They offer a unique opportunity for contextual control of multiple different devices in a smart home using guessable and favorite gestures. Currently available gesture vocabularies are survey-based and sensor-agnostic, but still require experimental validation. Therefore, we present experimentally generated and validated original gesture vocabularies using two user elicitation methods, the guessability and production methods, for such sensors. The capabilities of the sensor was used to prime participants for design thinking to multi-control smart home devices. We provide guidelines for designing gesture vocabularies using the two elicitation methods and report on their similarities and differences. The methodological findings and experimentally validated gesture sets would inform HCI researchers in the design of user-elicited interactions for such versatile light or electromagnetic field sensors and similar gesture-driven applications.
published_date 2025-12-01T05:31:30Z
_version_ 1856986877099245568
score 11.096172

Similar Items