Smartphone-based augmented reality for end-user creation of home automations
Raffaele Ariano,
Marco Manca,
Fabio Paternò and
Carmen Santoro
Behaviour and Information Technology, 2023, vol. 42, issue 1, 124-140
Abstract:
In the last few years, several end-user tools have been designed to help people who are not professional developers in programming their smart environments. However, such tools are often based on structured visual editors providing abstract representations of the available connected sensors and objects, which can be problematic for end users, and do not particularly encourage their participation. This work aims to make the end-user experience of creating everyday automations involving various types of connected sensors and objects more engaging by replacing extensive, static, structured and comprehensive abstract visual tools with more narrowed, relevant, context-sensitive, dynamic, augmented reality-based representations. We present a solution for this purpose that mobile users can exploit through their smartphone. End users can use the smartphone camera to frame the relevant sensor or object through the developed prototype, then get the current automations associated with it, edit their definition, create new ones as well as monitor the automations involving the whole current environment. We also report a first user test of the developed prototype deployed in a home equipped with connected sensors and objects, which yielded positive feedback.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2021.2017482 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:42:y:2023:i:1:p:124-140
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2021.2017482
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().