Estimation of protein quality using various methods
ARTS2090 visualisation presentation
1.
2.
3. All information was obtained from the nutrition information panels on
cereal boxes.
Given that nutrition information panels do not distinguish between natural
and added sugars, this chart cannot do so either.
4. Making the invisible visible
• Nutrition information panels show
numbers and statistics
• Sugar and fibre content is already
‘visible’ though numbers, but not
able to be comprehended
• Visualisation provides
understanding
5. Making the invisible visible
• Teaspoons are easier to
visualise than numbers
• Contextualising consumption
using RDI as a benchmark
6. Impacts of our visualisation
Positive
• More informed decisions
• Dispels popular connotations affixed to
certain cereals
• Market opportunities for high fibre/low
sugar cereals
7. Impacts of our visualisation
Negative
• Choices made on sugar + fibre content
only
– Protein? Fats? Vitamins & minerals?
• Only provides information on 20 brands
8. Publics
• People who purchase cereal
– Indirectly: people who consume (if different to
those who purchase)
• Retailers – potential to impact supply and
demand
• Manufacturers – increased pressure to
tweak cereal recipes