BiodivAR: A Cartographic Authoring Tool for the Visualization of Geolocated Media in Augmented Reality
Julien Mercier
(1, 2)
,
Nicolas Chabloz
(1)
,
Gregory Dozot
(1)
,
Olivier Ertz
,
Erwan Bocher
(2, 3)
,
Daniel Rappo
(1)
Julien Mercier
- Fonction : Auteur
- PersonId : 1265235
- ORCID : 0000-0002-5325-3824
Olivier Ertz
- Fonction : Auteur
- PersonId : 1265236
- ORCID : 0000-0002-9062-8453
Erwan Bocher
- Fonction : Auteur
- PersonId : 1577
- IdHAL : erwan-bocher
- ORCID : 0000-0002-4936-7079
- IdRef : 095751548
Résumé
Location-based augmented reality technology for real-world, outdoor experiences is rapidly gaining in popularity in a variety of fields such as engineering, education, and gaming. By anchoring medias to geographic coordinates, it is possible to design immersive experiences remotely, without necessitating an in-depth knowledge of the context. However, the creation of such experiences typically requires complex programming tools that are beyond the reach of mainstream users. We introduce BiodivAR, a web cartographic tool for the authoring of location-based AR experiences. Developed using a user-centered design methodology and open-source interoperable web technologies, it is the second iteration of an effort that started in 2016. It is designed to meet needs defined through use cases co-designed with end users and enables the creation of custom geolocated points of interest. This approach enabled substantial progress over the previous iteration. Its reliance on geolocation data to anchor augmented objects relative to the user’s position poses a set of challenges: On mobile devices, GNSS accuracy typically lies between 1 m and 30 m. Due to its impact on the anchoring, this lack of accuracy can have deleterious effects on usability. We conducted a comparative user test using the application in combination with two different geolocation data types (GNSS versus RTK). While the test’s results are undergoing analysis, we hereby present a methodology for the assessment of our system’s usability based on the use of eye-tracking devices, geolocated traces and events, and usability questionnaires.
Format du dépôt | Notice |
---|---|
Type de dépôt | Article dans une revue |
Titre |
en
BiodivAR: A Cartographic Authoring Tool for the Visualization of Geolocated Media in Augmented Reality
|
Résumé |
en
Location-based augmented reality technology for real-world, outdoor experiences is rapidly gaining in popularity in a variety of fields such as engineering, education, and gaming. By anchoring medias to geographic coordinates, it is possible to design immersive experiences remotely, without necessitating an in-depth knowledge of the context. However, the creation of such experiences typically requires complex programming tools that are beyond the reach of mainstream users. We introduce BiodivAR, a web cartographic tool for the authoring of location-based AR experiences. Developed using a user-centered design methodology and open-source interoperable web technologies, it is the second iteration of an effort that started in 2016. It is designed to meet needs defined through use cases co-designed with end users and enables the creation of custom geolocated points of interest. This approach enabled substantial progress over the previous iteration. Its reliance on geolocation data to anchor augmented objects relative to the user’s position poses a set of challenges: On mobile devices, GNSS accuracy typically lies between 1 m and 30 m. Due to its impact on the anchoring, this lack of accuracy can have deleterious effects on usability. We conducted a comparative user test using the application in combination with two different geolocation data types (GNSS versus RTK). While the test’s results are undergoing analysis, we hereby present a methodology for the assessment of our system’s usability based on the use of eye-tracking devices, geolocated traces and events, and usability questionnaires.
|
Auteur(s) |
Julien Mercier
1, 2
, Nicolas Chabloz
1
, Gregory Dozot
1
, Olivier Ertz
, Erwan Bocher
2, 3
, Daniel Rappo
1
1
Media Engineering Institute (MEI), School of Engineering and Management Vaud, HES-SO University of Applied Sciences and Arts Western Switzerland
( 1167286 )
- Suisse
2
Lab-STICC_DECIDE -
Equipe DECIDE
( 1067606 )
- France
3
Lab-STICC -
Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
( 486345 )
- Technopole Brest Iroise CS 83818 29238 BREST cedex 3
- France
|
Langue du document |
Anglais
|
Licence |
Paternité
|
Nom de la revue |
|
Date de publication |
2023-02
|
Volume |
12
|
Numéro |
2
|
Page/Identifiant |
61
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Domaine(s) |
|
DOI | 10.3390/ijgi12020061 |
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