presented at the first meeting of the XR4ALL SIG 'AR/VR for Learning and Training' (http://xr4all.eu/vrar-learning-training/), see event: http://xr4all.eu/event/webinar-on-xr-for-learning-and-training/

1. PERFORMANCE
AUGMENTATION
PROF DR FRIDOLIN WILD

2. BUCHEM, KLAMMA, WILD
(2019)
AGES OF TECHNOLOGY
ENHANCED LEARNING
2

3. Develop and test a novel way of industrial training
enabled by smart, wearable technology
3

4. RECORDER
experience
capturing
PLAYER
experience
re-enactment
HARNESS
e-textile
sensors
4

5. 5

6. INSTRUCTIONAL DESIGN METHODS (IDM)
FOR CAPTURING EXPERT PERFORMANCE
TO SUPPORT TRAINING USING
AUGMENTED REALITY AND SENSORS
LIMBU, JARODZKA, KLEMKE, WILD, SPECHT (2018)
LIMBU, FOMINYKH, KLEMKE, SPECHT, WILD (2017)
TM 01: Augmented path
TM 02: Augmented mirror
TM 12: Interactive virtual objects
TM 16: Mobile control
TM 03: Directed focus
TM 07: Highlight objects
TM 09: Object enrichment
TM 13: Haptic hints
TM 17: Formative feedback
TM 06: Ghost track
TM 15: Summative feedback
TM 04: POV videos
TM 05: Text Annotation
TM 08: Cues & clues
TM 10: Self-awarenessof physical state
TM 11: 3D models & animation
TM 14: Xray vision
6

7. MIRAGE·XR

8. 8
GHOSTTRACK
SHARMA, KLEMKE, WILD (2019)
LIMBU, VOVK, JARODZKA, KLEMKE, WILD, SPECHT (2019)

9. REAL-TIME
VISUALISATION
AND FEEDBACK
IN SITU AUTHORING &
EXPERIENCE CAPTURE
500+
OPEN STANDARDS
& ARCHITECTURE
trialled solution
TRAINING
BY EXPERIENCE
COGNITIVE METHODS
IN PERFORMANCE
MEASUREMENT

10. EXISTS
UPDATE
NEW
CONCEPT
MIRAGE·XR

11. A STANDARD FOR
DESCRIBING AR-ENRICHED
LEARNING ACTIVITIES:
REAL WORLD EXECUTABLE
LEARNING FLOWS LINKING
WITHTHEIR ENVIRONMENT
DESCRIPTION.
https://sagroups.ieee.org/1589/
AUGMENTED REALITY
LEARNING EXPERIENCE
MODELS
11

12. Augmentations
(A. primitives, predicates, warnings)
Triggers
(sensor, detect,
click, voice)
Detectables
(markers, world anchors)
Sensor Data Streams
(key/value tuples + op.)
+ Instructions
+ Messages
xAPI logging
12

13. SIMONSEN, BROX,VOVK,WILD, GUEST,
RANSLEY, RAZOOL, SMITH, LIMBU, KLEMKE
(2019)
RETENTION
(VOVK, to appear)
SMART GLASSES
USER
SATISFACTIONXUE, SHARMA,WILD (2019)

14. User Interaction Satisfaction (All)
1
2
3
4
5
6
7
Terrible Difficult Frustrating Inadequate
power
Dull Rigid Unreliable Slow Hard to read Confusing Inconsistent Confusing Difficult Difficult Never
Wonderful Easy Satisfying Adequate power Stimulating Flexible Reliable Fast Easy to read Very clear Consistent Very clear Easy Easy Always
Characters on the display
Information organization
on the display
Positioning of messages
Messages on screen
which prompt user for input:
Learning to operate the glasses
Exploring new features
by trial and error
Tasks can be performed
in a straightforward manner
XUE, SHARMA,WILD (2019)

15. SIMULATOR SICKNESS:
symptom groups and
total scores for each
test bed (n=142)
VOVK, WILD, GUEST, KUULA (2018)

16. LIVE GUIDANCE
ENABLES UPSKILLING
ON THE JOB.

17. HELPS TO
DRASTICALLY REDUCE
TRAINING TIME.
PROVIDES AUTONOMY WHERE
(GROUND) SUPPORT
IS NOT AVAILABLE.

18. WILL FUNDAMENTALLY
DISRUPT TEACHING
AS WE KNOW IT.
IN SITU AUTHORING EXPECTED
TO SIGNIFICANTLY REDUCE
PRODUCTION COSTS.

19. TEL 4.0WEARBLE ENHANCED
LEARNINGAND PERFORMANCE
AUGMENTATION CAN LINK UP
LEARNING CONTEXT AND PRACTICE
CONTEXT, SOTHEY BECOMEONE.
19

20. PROF DR FRIDOLIN WILD
Performance
Augmentation Lab