• users and service providers are interested in full multimedia experience,
• museums are looking for better statistics,
• users are interested in site load balancing and experience sharing.
Table 1 User preferences
From perspective of user device technical parameters the analyze demonstrates importance of
multimedia capabilities. Other preferences do not have direct impact to technical requirements
of the devices.
2.2 Required technical features of user device
The required features can be described as follows:
User positioning – User position estimation with accuracy of ±10m (outdoor) or room
grid (indoor, by map presence). The main attention shall be on a satellite reception (GPS,
Galileo) based positioning methods. Due to the lower accuracy, the positioning using
cellular network base station grid is left out of the scope of the project.
Object of Interest recognition – Detecting that certain object is interesting for the SM
user. Feedback can be received through RFID tag access recognition of user commands
monitoring reading, through manual OOI selection from HCI based on GPS or any other
positioning information.
Multimedia content presentation – File playback and streaming, mobile audio and video
multimedia formats: AVI, H264 (MPEG-4 AVC), H263, RealAudio, MP3, AAC
satisfying generic quality requirements.
Content storage – Onboard media storage for preloaded digital content.
Grant Agreement Number: FP7-216923
Acronym: SMARTMUSEUM
Project title: Cultural Heritage Knowledge Exchange
Platform
-8-
SMARTMUSEUM applications and their rating HM-Pro M-AWG U-AWG
3,8 0,0 3,0
Proposing visiting plan/itinerary.
4,5 4,0 4,2
Full contextual multimedia experience.
4,5 4,0 4,1
Audio.
4,5 2,5 3,8
Suggestions to related (inhouse) items (ontology, location etc. based matches)
4,5 4,0 4,1
Recommendation system (other users with similar? profiles).
1,8 2,0 2,4
User load balancing (proposing different routes for visitors).
3 1,0 3,7
Gathering statistics of visits: room statistics, time statistics.
4,3 4,0 3,3
User feedback, rating and voting.
3,8 3,5 3,6
Creating user logical networks (of people with similar interests) during visits.
1,5 3,0 2,2
Storing user comments/knowledge to RFID tags (predefined or moderated).
3,3 4,0 3,1
RFID based guidance (for storing information messages), e.g. for navigation.
3,3 3,0 2,9
Proposing other museums/places with similar or related topics.
4,8 4,5 3,9
Outdoor tagging (incl active tags): suggestions to come in for a visit.
4,5 4,5 3,2
Find similar restaurant/museum: based on social network knowledge.
4 3,5 3,1
Extended profiling (for food, traveling, lifestyle).
3 0,0 2,7
Educative interactive games.
3 3,3 3,1
Publishing visit information on the web (user preference!).
2,5 3,5 3,0
Purchase recommendations based on visited items or tags.
2,3 4,0 2,6
Collecting external URLs during museum visit (bookmarking for trip).
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