Drive by Age: Difference between revisions
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Client: Dana Ma, [[JPMorgan]] with AgeUK <Dana.Ma@jpmorgan.com> | |||
It is often difficult for young people on the roads to remember that older people (such as the Group Project Coordinators) see the world very differently - sensitivity to light decreases dramatically, while reaction times, awareness of peripheral movement, distance vision, hearing and fine motor control can also change a great deal. Your task is to make a driving simulator that allows a user to drop through from Google Maps into an alternative interactive Street View as experienced by an older person driving a car. You should simulate particularly challenging situations such as night-time with cyclists having dark clothes and no lights. It should be possible to see any neighbourhood in the UK, from the perspective of a wide range of different ages, and with the experience as realistic as possible. You could even control the simulation on the basis of local demographic data, so that popular retirement destinations can be seen from the point of view of their residents. | |||
Latest revision as of 11:53, 9 November 2015
Client: Dana Ma, JPMorgan with AgeUK <Dana.Ma@jpmorgan.com>
It is often difficult for young people on the roads to remember that older people (such as the Group Project Coordinators) see the world very differently - sensitivity to light decreases dramatically, while reaction times, awareness of peripheral movement, distance vision, hearing and fine motor control can also change a great deal. Your task is to make a driving simulator that allows a user to drop through from Google Maps into an alternative interactive Street View as experienced by an older person driving a car. You should simulate particularly challenging situations such as night-time with cyclists having dark clothes and no lights. It should be possible to see any neighbourhood in the UK, from the perspective of a wide range of different ages, and with the experience as realistic as possible. You could even control the simulation on the basis of local demographic data, so that popular retirement destinations can be seen from the point of view of their residents.