AR Discovery - The Challenges
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Transcript of AR Discovery - The Challenges
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AR Discovery !The Challenges!
Christian Glahn
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This is where I work!
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I don’t really do augmented reality!
?
AugmentedReality
AugmentedVirtuality
MixedReality
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My real passion is about !experiences in multi-device ecologies!
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DISCOVERY!Let’s talk about
and my business with it
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How do we want to discover?!• Not always more of the same – If I just ate, then I don’t need more restaurants – If I just spent 4h in a museum, then I need a café
more than another museum – Etc.
• Create meaningful connections – It I am on a business trip and its just before a
meeting, then I am not interested in finding a gym • Follow rhythms – If I always have dinner around 6PM, then I might
be interested in restaurants around that time when not at home
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Real-world example:!Contextualized data access & enrichment!
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Experience contexts!
Identity Location
TimeActivity
Relations
Experience
Zimmermann, Lorenz & Oppermann, 2007
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Identity Location
TimeActivity
Relations
Experience
Location
Identity
Time
Activity
Relations
Experience
Location
Identity
Time
Activity
Relations
Experience
Location
Identity
Time
Activity
Relations
Experience
Location
Identity
Time
Activity
Relations
Experience
Relations
Location
Identity
Time
Activity
Experience
Discovery as !automatic context matching!
Specht, 2009
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The technical !discovery process!
SensingCollecting
Aggregating
Controlling
Presenting
Experience
Glahn, 2009
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The technical !discovery process!
SensingCollecting
Aggregating
Controlling
Presenting
Experience
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What is out there to discover?!
CloudServices
Ambient ScreensThings
Business Intelligence
SensingCollecting
Mobile Apps
Sensor Networks
Browser or appprovided data
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Challenges for discovery!
DataAggregation
Connectivity
Experience
Attention
DisruptionPrivacy
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Challenges for discovery!
DataAggregation
Connectivity
Experience
Attention
DisruptionPrivacy
The character of these challenges chages depending on the focusand the scenario
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Aggregating
Controlling
Presenting
CloudService
Ambient ScreensThings
Apps
Sensor Networks
CloudService
Addressing privacy and connectivity by focussing on data aggregation!
generic queriesmultiple channels h:p://ar-‐discovery.wikia.com/wiki/AR_Discovery_Scenarios
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How to discover? An example• OpenStreetMaps PoI/AoI – Hierarchical Data (through geolocation data) – Somewhat Structured Meta-Data
• ~80% of all tags used in the BCN area is “yes” • Used on ~50% of the objects in BCN
– Plenty of linked data • Wikipedia (710) • Websites and URLs (533) • Post Codes (3970) • Emails (166) and phone numbers (412)
– Plenty of contextual data • Language support • Opening Hours • Operator Information • Accessibility
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OSM linked data!"GEOMETRY" MULTIPOLYGON'osm_id' VARCHAR'osm_way_id' VARCHAR 'name' VARCHAR’type' VARCHAR'aeroway' VARCHAR'amenity' VARCHAR'admin_level' VARCHAR'barrier' VARCHAR'boundary' VARCHAR'building' VARCHAR'craft' VARCHAR'geological' VARCHAR'historic' VARCHAR'land_area' VARCHAR'landuse' VARCHAR’leisure' VARCHAR'man_made' VARCHAR'military' VARCHAR'natural' VARCHAR'office' VARCHAR'place' VARCHAR'shop' VARCHAR'sport' VARCHAR'tourism' VARCHAR'other_tags' VARCHAR
multipolygons
Unique IDGeolocation
Public Name
Category Tags
Linked Data
points
"GEOMETRY" MULTIPOLYGON'osm_id' VARCHAR
'name' VARCHAR
'barrier' VARCHAR'highway' VARCHAR
'man_made' VARCHAR
'is_in' VARCHAR'place' VARCHAR'address' VARCHAR'ref' VARCHAR'other_tags' VARCHAR
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From data to discovery!
Aggregating
Controlling
Presenting
TaskService
DeviceSensors
LocationService
TaskMgr
LocationMgr
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Context matching!
Identity
Location
Time
Activity
Relations
Task Focus
Location
Identity
Time
Activity
Relations
Location
Locatio
n
Identity
TimeActivity
Relations
Task
Relations
Location
Identity
Time
Activity
Location
Location
IdentityTime
Activity
Relations
Task
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My challenges for !implementing discovery!
• Device friendly data – Efficient data formats for exchange and retrieval
• Identification of available data sources • Integration of different data sources – APIs – Data-structures
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Next steps!We are about to launch a OSM POI service • Consumer & device oriented • Cleaned data • Easier access to categorizations • Easier access to linked data
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What are your discovery challenges?Where do you need more interoperability?
Christian Glahn
@phish108http://slidesha.re/phish108https://www.linkedin.com/in/cpglahn