System disruptions
We are currently experiencing disruptions on the search portals due to high traffic. We are working to resolve the issue, you may temporarily encounter an error message.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The Effects of Augmented Reality Companion on User Engagement in Energy Management Mobile App
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-1536-5753
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0001-8561-7963
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-8681-9572
2024 (English)In: Applied Sciences, E-ISSN 2076-3417, Vol. 14, no 7, article id 2621Article in journal (Refereed) Published
Abstract [en]

As the impact of global warming on climate change becomes noticeable, the importance of energy efficiency for reducing greenhouse gas emissions grows immense. To this end, a platform, solution, and mobile apps are developed as part of the European Union’s Horizon 2020 research and innovation program to support energy optimization in residences. However, to ensure long-term energy optimization, it is crucial to keep users engaged with the apps. Since augmented reality (AR) and a virtual animal companion positively influenced user engagement, we designed an AR companion that represented the user’s residence states; thereby making the user aware of indoor information. We conducted user evaluations to determine the effect of the AR companion on user engagement and perceived usability in the context of energy management. We identified that the user interface (UI) with AR (ARUI) barely affected user engagement and perceived usability compared to the traditional UI without AR (TUI); however, we found that the ARUI positively affected one of the user engagement aspects. Our results show AR companion integration’s potential benefits and effects on energy management mobile apps. Furthermore, our findings provide insights into UI design elements for developers considering multiple interaction modalities with AR.

Place, publisher, year, edition, pages
MDPI, 2024. Vol. 14, no 7, article id 2621
Keywords [en]
user interface, user evaluation, user engagement, perceived usability, augmented reality, Internet of Things, energy management
National Category
Human Computer Interaction
Research subject
Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-104850DOI: 10.3390/app14072671ISI: 001201100700001Scopus ID: 2-s2.0-85192566624OAI: oai:DiVA.org:ltu-104850DiVA, id: diva2:1846494
Funder
EU, Horizon 2020, 893079
Note

Validerad;2024;Nivå 2;2024-03-22 (signyg);

Full text license: CC BY

Available from: 2024-03-22 Created: 2024-03-22 Last updated: 2024-10-18Bibliographically approved
In thesis
1. DesignWise: Design Principles for Smart Applications targeting Internet of Things Services
Open this publication in new window or tab >>DesignWise: Design Principles for Smart Applications targeting Internet of Things Services
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

As Internet of Things (IoT) has developed, the number of connected entities has increased, allowing systems to interact with users and their environments in smart ways. For example, presence and environmental sensors enable the system to be aware of the user's state and environment, allowing it to provide helpful information for users. The connected entities include not only IoT devices for data acquisition and actuation but also interaction modalities for communication between users and systems. Multimodal interaction (MI) and augmented reality (AR) are enablers for enhanced user experience (UX) for IoT services. However, combining an IoT-enabled system with MI and AR without careful consideration may hinder the benefits of these technologies. Thus, understanding the technologies and target user group's characteristics depending on the application's context is essential. Design principles allow people—who are interested in UX and user interface (UI) development of IoT-enabled mobile AR applications—to gain knowledge about UX/UI design that considers both the technology and user aspects.This thesis aims to identify, propose, and validate design principles for mobile applications within IoT-enabled smart city domains, especially healthcare and energy management services. We identified the requirements and needs of MI and AR through a systematic literature review. We also found that studies of design principles for IoT-enabled mobile AR applications are limited. We designed, developed, and analyzed three IoT-enabled mobile AR applications along with their UX. From the state-of-the-art research, we compiled and categorized 26 existing design principles into seven categories. We derived and evaluated five new design principles based on the analysis of our developed applications. As a practical realization of the identified design principles, we provided examples of design principles through user interface mockups, which represent the re-designed interfaces of the applications. We expect that our findings will give insight into the UX/UI design of IoT-enabled mobile AR applications for researchers, educators, and practitioners interested in UX/UI development.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2024
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
Keywords
Design principle, Internet of Things, augmented reality, multimodal interaction, user interface, user experience, human-computer interaction
National Category
Computer Sciences
Research subject
Pervasive Mobile Computing
Identifiers
urn:nbn:se:ltu:diva-110204 (URN)978-91-8048-684-2 (ISBN)978-91-8048-685-9 (ISBN)
Public defence
2025-01-24, A193, Luleå University of Technology, Skellefteå, 12:00 (English)
Opponent
Supervisors
Available from: 2024-10-18 Created: 2024-10-18 Last updated: 2024-12-12Bibliographically approved

Open Access in DiVA

fulltext(11938 kB)156 downloads
File information
File name FULLTEXT01.pdfFile size 11938 kBChecksum SHA-512
751a841a26109d7110c21a840922915128df20a40fd41ec52c6faf788231227fc804793d02b5cafb8ed9597ef141a5db8f3bde2fc97891c6b2f67cf80630563e
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Kim, Joo ChanSaguna, SagunaÅhlund, Christer

Search in DiVA

By author/editor
Kim, Joo ChanSaguna, SagunaÅhlund, Christer
By organisation
Computer Science
In the same journal
Applied Sciences
Human Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar
Total: 156 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 363 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf