Quantitative Analysis

The Google form which was used by us to do the user research:

The Google form was a very genric one which aimed to data regarding the onflight patterns of various people. A lot of users filled up the form (about 120). The data was then analysed carefully and results were infered. These results are summarized below.

Direct Relationship between Flying Frequency and Onflight Meal Frequency

Direct relationship between Travel frequency and meal frequency is observed. This implies that having meal onflight is more of a neccessity than a personal choice. If a person travels more in flight, he would generally have his meals onflight more frequently.

General perception of 'Freshness' of onflight meal:

The average 'Freshness' value as rated by the subjects is 2.8 / 5.0. There is a very evident need to improve the freshness of food served onflight, since it is very closely related to satisfaction of the passengers, as seen later.

General perception of 'Freshness' of onflight meal:

The average 'Satisfaction' value as rated by the subjects is 2.4 / 5.0. As we will prove in the next visualization, it is very much related to 'Freshness' of the food.

Relation between 'Freshness' and 'Satisfaction':

A linear relationship is observed between 'Freshness' of meals served and 'Satisfaction' of the passengers. Hence, implying that one of the main reasons why passengers test onflight meals is lack of freshness.

Percentage of Subjects having knowledge of Food Printing:

The results were counter-intutive. A large number of people (31%) had a basic knowledge about 3D Food Printing. This means that it would be easier for them to adapt and accept the technology.

More painpoints are discussed further in Quanlitative Analysis.

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