2. BACKGROUND RESEARCH
Eye-tracking techniques are suggested to be used to deeply
explore the cognitive process (Tsai, Hou, Lai, Liu & Yang, 2012).
Boswell, Knight and Spriggs (2013) discussed that some studies
have shown that academic skills can be directly impacted by selfmonitoring. McDougall and Brady (1998, as cited in
Boswell, Knight and Spriggs, 2013) illustrated that fourth graders
with and without disabilities were able to increase their ‘engaged
time’ after learning to use two self-management strategies
(i.e., self-monitoring of attention and productivity).
3. ‘OPTIMEYES’
Tesco is installing hundreds of hi-tech screens that scan the faces
of shoppers as they queue at the till to detect their age and sex for
advertisers.
Lord Alan Sugar
It works by using inbuilt cameras in a TV-style screen above the
till that identify whether a customer is male or female, estimate
their age and judge how long they look at the ad.
The technology is already used in forecourts across the UK
4. PROPOSED FIELD RESEARCH
Implementing prototype model
Survey aimed at educational professionals and parents of primary
school children.
Option to expand and give opinions on design
Sketches will be provided after initial requirements gathering to
aid user usability
5. WHO & WHY?
Designed with teachers in mind to keep track of
behaviour, concentration and progress of their students
Aim: Benefit learning outcomes for students by comparing monitored
behaviour to the individuals progress in class
7. PROBLEMS
Problem 1
Parents might not be comfortable with their children being
monitored
Problem 2
System failure could result in complete loss of individual progress
8. PROPOSED SOLUTIONS
Solution for Problem 1
Parents must give consent. If not, a profile will not be included of
their child
Solutions for Problem 2
The system will automatically back up the information onto the
school’s server
At the end of each term the teacher will also manually back up the
programme
The application has the potential to develop its own online
storage, for example, similar to the ‘Cloud’
9. HOW WILL IT WORK?
Monitoring box (OCO) on top of blackboard
Facial recognition
Eye tracking (similar to the ‘Optimeyes’)
Noise level
Movement
11. REFERENCES
Boswell, M., Knight, V., & Spriggs, A. D. (2013). Self-monitoring of
On*task Behaviors Using the MotivAider® by a Middle School
Student with a Moderate Intellectual Disability. Rural Special
Education Quarterly, 32(2), 23-30.
Hawkes, S. (2013, November 4). Tesco to scan queuing shoppers'
features for advertisers. The Telegraph. Retrieved from
http://www.telegraph.co.uk/earth/agriculture/supermarkets/10423811/
Tesco-to-scan-queuing-shoppers-features-for-advertisers.html
Tsai, M., Hou, H., Lai, M., Liu, W., & Yang, F. (2012). Visual attention
for solving multiple-choice science problem: An eye-tracking
analysis. Computers & Education, 58(1), 375-385.
doi:10.1016/j.compedu.2011.07.012
