Presentation of a co-authored paper with Christian Sailer, David Rudi, Kuno Kurzhals, Martin Raubal (ETH Zurich GIS, Switzerland)
mLearn19 September 16.- 18. 2019, Delft (NL)
Presented at #mlearn19 in Delft, NL
http://iamlearn.org/mlearn/
Towards Seamless Mobile Learning with Mixed Reality on Head-Mounted Displays
1. ||
Christian Sailer, David Rudi, Kuno Kurzhals, Martin Raubal (ETH Zurich GIS, Switzerland)
mLearn19 September 16.- 18. 2019, Delft (NL)
Towards Seamless Mobile Learning with
Mixed Reality on Head-Mounted Displays
2. ||
Christian Sailer, David Rudi, Kuno Kurzhals, Martin Raubal (ETH Zurich GIS, Switzerland)
mLearn19 September 16.- 18. 2019, Delft (NL)
Towards Seamless Mobile Learning with
Mixed Reality on Head-Mounted Displays
6. ||
Defiences in self-regulated and seamless
mobile learning on hand-held devices
Screen
Size
Field of
View
Human-Computer
Interaction
13.06.2019Towards Seamless Mobile Learning with Mixed Reality on HMDs
8. ||
Contextual support Peer-to-peer communication
Inquiry-based learning activities (Suàrez et al. 2018)
13.06.2019Towards Seamless Mobile Learning with Mixed Reality on HMDs
Suárez,Á.,Specht,M.,Prinsen,F.,Kalz,M.,&Ternier,S.(2018).Areviewofthetypesofmobile
activitiesinmobileinquiry-basedlearning.Computers&Education,118,38–55.
9. ||
for Seamless Mobile Learning Scenarios with
Mixed Reality on Head-Mounted Displays
A set of design examples and research directions
A set of design examples and research directions
10. ||
A set of design examples and research directions for
Seamless Mobile Learning Scenarios
GIS Interactions
(Contextual Support)
Immersive simulations
Geographical modeling
Geospatial analysis
Human Interactions
(Peer-to-Peer Communication)
Gaze-based interaction
Close Collaboration
Remote Collaboration
12. ||
3D simulations of past and future scenarios
Immersivesimulations
Top:
ArcGISWebScene
https://arcg.is/1rHei4
Data:https://www.kadaster.nl/producten/woning/kadastrale-kaart
Bottom:
GoogleStreetView
https://www.google.ch/maps/@52.0042625,4.3615689,3a,75y,139.18h,89.57t/data=!3m6!1e1!3m4!1s1s_Wpx8pnZQ38OLQg-
wKiQ!2e0!7i13312!8i6656
13. ||
Construction of physical and abstract models
Geographicalmodeling
Top:
ArcGISWebScene
https://arcg.is/1rHei4
Data:https://www.kadaster.nl/producten/woning/kadastrale-kaart
Bottom:
GoogleStreetView
https://www.google.ch/maps/@52.0042625,4.3615689,3a,75y,139.18h,89.57t/data=!3m6!1e1!3m4!1s1s_Wpx8pnZQ38OLQg-
wKiQ!2e0!7i13312!8i6656
17. ||
Recording and playback of face-to-face events
CloseCollabarotion
OMLETHFieldtripTecDayChurOMLETH:
https://www.satw.ch/fileadmin/user_upload/documents/03_Dialog/02_TecDays_TecNights/TecDay_Chur_2016.pdf
10:25
AM
19. ||
Current shortcoming
Image: HYPER-REALITY
A provocative and kaleidoscopic new vision of the future, where physical and virtual realities have merged, and the city is saturated in media…
13.06.2019
Hardware Limitations
Notification Terror
Misconceptions Real-World Problems ?
20. ||
We identify several opportunities for seamless mobile learning activities
concerning contextual support and peer-to-peer interactions presented in
Suárez et al. (2018).
We state challenges (e.g., hardware limitations, cognitive overload, situational
awareness distractions).
We believe AR technology will built into normal glasses, or even into contact
lenses.
13.06.2019
Conclusion
21. ||
We extracted six research directions
for Seamless Mobile Learning Scenarios
with Mixed Reality on Head-Mounted Displays
• Immersive simulations
(3D simulations of past and
future scenarios)
• Geographical modeling
(Construction of physical and
abstract models)
• Geospatial analysis
(Shadow calculations)
Gaze-based interaction
(Visual and tactile examination,
voice feedback)
Close Collaboration
(Recording and playback of face-
to-face events)
Remote Collaboration
(Holographic telepresence and
remote inquiries)
Future Work