Mobile augmented reality for environmental awareness:  A technology acceptance study

Majed Abdullah Alrowaily; Manolya Kavakli

doi:10.1145/3192975.3193002

Mobile augmented reality for environmental awareness: A technology acceptance study

Majed Abdullah Alrowaily, Manolya Kavakli

Research output: Unpublished contribution to conference › Unpublished Conference Paper › peer-review

Abstract

Littering behaviour is a global issue affecting most countries regardless of their development status. Mobile augmented reality (MAR) shows a promising contribution in different fields. However, despite the wider applications of MAR in different area such as cultural heritage [1, 2] and shopping [3], acceptance studies of mobile augmented reality applications with environmental awareness are still rare. This empirical study will contribute to the investigation of the users’ acceptance of MAR for environmental context. Perceived Enjoyment (PE) was founded to be strongly positively correlated with the users’ attitude (ATU) towards using EVA v2 app (r =0.833, p = < 0.01). The correlation between Perceived Ease of Use (PEOU) and Subjective Norms (SN) was the weakest positive correlation (r =0.36, p = <0 .05(.

Original language	English
Pages	36-43
Number of pages	8
DOIs	https://doi.org/10.1145/3192975.3193002
Publication status	Published - 24 Feb 2018
Event	10th International Conference on Computer and Automation Engineering, ICCAE 2018 - Brisbane, Australia Duration: 24 Feb 2018 → 26 Feb 2018

Conference

Conference	10th International Conference on Computer and Automation Engineering, ICCAE 2018
Country/Territory	Australia
City	Brisbane
Period	24/02/18 → 26/02/18

Bibliographical note

Publisher Copyright:
© 2018 Association for Computing Machinery.

Keywords

Environmental Awareness
Littering Behaviour
Mobile Augmented Reality

Access to Document

10.1145/3192975.3193002

Cite this

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Mobile augmented reality for environmental awareness: A technology acceptance study. / Alrowaily, Majed Abdullah; Kavakli, Manolya.
2018. 36-43 Paper presented at 10th International Conference on Computer and Automation Engineering, ICCAE 2018, Brisbane, Australia.

Research output: Unpublished contribution to conference › Unpublished Conference Paper › peer-review

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