Teaching:TUW - UE InfoVis WS 2008/09 - Gruppe 06 - Aufgabe 4

Aufgabenstellung

Beschreibung der Aufgabe 4

Gegebene Daten

Homer Simpson's Trinkverhalten in Abhängigkeit von seinen Lebensumständen

...Visualisierung von Homer's Lebensabschnitten bzw. Ereignissen mit Einfluss auf sein Trinkverhalten (zB.: Kindheit, Pubertät, Arbeitslosigkeit, Beziehungen, Hochzeit, Geburt der Kinder, Liebeskummer, Alltag, etc.) von seiner Geburt bis Jetzt + mögliche Zukunftsszenarien (mind. 3).

• Die Menge folgender Getränke soll für die jeweiligen Lebensumstände ablesbar sein

(ml oder Liter - je nachdem - pro Tag, Monat, Jahr (z.B.: Fokus+Kontext Methoden):

 a) Wasser

 b) Milch

 c) Fruchtsaft

 d) Cola

 e) Kaffee (Würfelzucker?)

 f) Bier

(vereinfacht angenommen, Homer trinkt ausschließlich diese Getränke)

• Die folgenden Werte sollen abhängig von den konsumierten Getränken ablesbar sein:

 1) g oder kg konsumierter Zucker (aus Getränken) + empfohlene Maximaldosis pro Tag, Monat, Jahr 
   (empfohlene Maximaldosis/Tag: 50g; enthaltener Zucker: 10g/100 ml Cola; 10g/100 ml Fruchtsaft; 3g/Würfelzucker).

 2) mg konsumiertes Coffein + empfohlene Maximaldosis pro Tag, Monat, Jahr 
   (empfohlene Maximaldosis/Tag: 600mg; enthaltenes Coffein: 10 mg/100 ml Cola; 80 mg/100 ml Kaffee).

 3) g konsumierter Alkohol + empfohlene Maximaldosis pro Tag, Monat, Jahr 
   (empfohlene Maximaldosis/Tag: 20g; enthaltener Alkohol: 3,6 g/100ml Bier)

• Die Daten sollen zur medizinischen/psychologischen Analyse visualisiert werden.
  
  
• Die bisher erlernten Design-Prinzipien sollen umgesetzt werden (z.B.: Optimierung der Data-ink ratio).
  
  
• Die Mockups sollten zumindest 1) Homer's Leben im Überblick 2) und eine Detailansicht wiedergeben.
  
  
• Alle nicht angeführten Daten können frei erfunden werden.

Links

• InfoVis:Wiki UE Homepage

• UE InfoVis

• Gruppe 06

General description and background

Field of application

The visualization will be used by experts for medical and psychological analysis. The visualization shall provide information of a single patient, and give details about their consumption of several different drinks (water, milk, juice, coke, coffee, and beer), and the thus resulting consumption of sugar, caffeine and alcohol. It shall be possible to visualize both a time-line overview of these consumptions, as well as detailed views for specific periods in time. Additionally, certain periods of life, such as childhood or puberty, and specific events and happenings such as unemployment, wedding(s), or birth of the children, shall be indicated.

Analysis of the data set

The application displays abstract, multi-dimensional, time-oriented information:

• Drinks: Consumption of six different drinks (water, milk, juice, coke, coffee, and beer) and sugar cubes by day.
  • These dimensions have a continuous data type.
• Ingredients: The amount of dangerous substances (sugar, caffeine, and alcohol) contained in the drinks and in the sugar cubes.
  • These dimensions have a continuous data type.
  • These variables are derived from the drinks and sugar cubes.
• Events: Certain periods of life and specific events (e.g., childhood, unemployment).
  • This dimension is of a nominal data type.

Dimension	Data type	Unit
water	continuous	ml
milk	continuous	ml
juice	continuous	ml
coke	continuous	ml
coffee	continuous	ml
beer	continuous	ml
sugar cube	discrete	pieces
sugar	continuous	g
caffeine	continuous	g
alcohol	continuous	g
events	nominal

Characteristics of the temporal dimension

• The application 's time domain is branching, because it allows the description of alternative scenarios.
• The time scale is discrete and days are the smallest granularity used.
• Drinks and ingredients are totally ordered, whereas events are partially ordered, because they might be overlapping.
• The temporal primitives used for drinks and ingredients are instants, whereas intervals are used for events.
• The application uses the Gregorian calendar and different temporal granularities like months and year will be made available to the users.

cite Aigner Diss p. 13-17

The data set contains information about certain ingredients of drinks, and the recommended maximum dose per day, as follows:

	Sugar	Caffeine	Alcohol
Water
Milk
Juice (100ml)	10g
Coffee (100ml)		80mg
Lump sugar (per piece)	3g
Coke (100ml)	10g	10mg
Beer (100ml)			3.6g
Daily dose	50g	600mg	20g

Data types

• The consumption of drinks, as well as their ingredients, are continuous data.
• The points in time where measurements are taken are of ordinal type.
• The periods of life are of nominal kind; they can be distinguished, but they cannot be ordered, as they might be overlapping.

Data structures

• Our data is two-dimensional, one dimension being the time of the consumption, the other being the type of drink being consumed.
• The consumption of ingredients, can be derived from the consumption of drinks, and is thus no specific dimension of it's own.
• The time-dimension itself can be given in hierarchically arranged units (days, weeks, months, ...)

Analysis of the target group

The intended target group of the visualization are physicians, psychologists and nutritionist. Thanks to their education they can interpret of the data and thus do primary need hints what different values imply but require guidance to navigate through the data and conceive it.

On the other hand it cannot be assumed that the users have technical knowledge of interactive systems or are willing to acquire it, therefore the visualization must be intuitive and as far as possible self descriptive.

Furthermore possible limitations by the target hardware must be taken into account. This could also limit the possibilities of interaction (e.g. screen-size, no keyboard or no mouse but a touch-pad).