Visual engagement with urban street edges: insights using mobile eye-tracking

Figures & data

Figure 1. Mobile eye-tracker, camera configuration and video output with cross hairs showing gaze location.

Table 1. Task details.

Task name	Task group	Task description
Rush to work	Necessary	You are close to being late for work. Hurry to make sure you don’t miss the meeting you had planned.
Drop off	Necessary	A friend has asked to borrow something and you have agreed to drop it off with them. They said they would be waiting for you on the street corner.
Wander to the bus	Necessary	You have finished all you need to do in the city centre and are on the way to catch the bus. You don’t know when it will leave but you are not in any hurry as you know they depart regularly.
Break-time stroll	Optional	You are dawdling on your hour break and have decided to take a stroll to get some fresh air.
Coffee with a friend	Optional	You are on your way to meet a friend, who is always late, for coffee but you cannot remember if you said to meet in a certain place.
Window-shopping	Optional	You have kindly been given some money for your birthday and are out window-shopping to find something to spend it on.

Figure 2. (a, b) Street DNAs detailing participants’ visual engagement with street areas of interest (AOIs). The total length of a single DNA equates to the total duration of a participant’s visual engagement on a street. The distribution of purple represents visual engagement with urban street edges.

Figure 2. (Continued).

Figure 3. The percentage of participants’ visual engagement with street areas of interest (AOIs). Error bars represent 1 standard error.

Figure 4. (a, b) The influence of task and street on the percentage of participants’ visual engagement with urban street edges. Error bars represent 1 standard error.

Figure 5. The correlation between the percentage of participants’ visual engagement with urban street edges during optional and necessary tasks (r = 0.69). Each point is the average data for one street.