Crowdsourcing Urban Accessibility: How to attract large user base and obtain precise data

​​

 |   Bc. et Bc. Michaela Riganová

- 2 -

 |   route-planning for blind pedestrians

Naviterier

- 3 -

covered area in Prague

How to gather this huge amount of data which the Naviterier needs to work with?

- 4 -

Geo-crowdsourcing 

                                                        |  Letting ordinary people (crowd)

provide spatial data (outsource).

- 5 -

- 6 -

Is the crowd capable to identify real obstacles and properties needed for safe navigation of handicapped people?

Key findings

   |  design recommendations

- 7 -

• proper guidance
• objective information (width, height, depth, slope, material etc.)
• pictograms in combination with easy-to-understand language
• suitable measuring techniques: stepping, feets, credit cards

Non-expert contributors are not familiar with special needs of each end-user group, they should not subjectively evaluate the accessibility or safety of the requested pedestrian segments and landmarks.

Design

   |   use cases

- 8 -

collecting attributes of landmarks  and segments

marking new obstacles

validation of collected data

Design

   |   How to efficiently visualize pedestrian segments and landmarks on a map?

- 9 -

mockup

low-fidelity prototype

high-fidelity prototype

Design

   |   How to make sure that all the data will be properly described?

- 10 -

predefined pedestrian crossing types

skippable subtasks

instructional images

pictograms with easy-to -understand language

How to motivate people to engage in geo-crowdsourcing?

- 11 -

Gamification

   |   game elements

- 12 -

Conclusion and future work

- 13 -

• extension of the gamified layer on material prices 
• evaluation of the quality of collected data
• review of the impact of the gamified layer

Application demo

- 14 -

bit.ly/HTWcrowd

task: Accomplish the month challenge!

Please, leave us feedback.