Social Visualization for the Masses Social Visualization Many
- Slides: 42
Social Visualization for the Masses
Social Visualization Many Eyes: A Site for Visualization at Internet Scale Harry Potter and the Meat-Filled Freezer: A Case Study of Spontaneous Usage of Visualization Tools Voyagers and Voyeurs: Supporting Asynchronous Collaborative Information Visualization 2
Previous Social Visualizations. . . have been a little different what are social visualizations? visualization of social data using visualization to as medium for social communication making use of web technologies? 3
Visualization of Social Data Vizster (social network websites; seeing how people are related) Mat. Link (social networks) Node. Trix People Garden 4
Visualization as Social Communication Chat circles Keystrokes (somewhere in-between? ) 5
as previously seen. . . web visualizations. . . previously seen: wefeelfine gapminder recall “web-centric” design decisions: short attention span fun and interactive 6
Many Eyes: A Site for Visualization at Internet Scale Upload data Create Visualization Discuss (Not necessarily in this order!) 7
Many Eyes: Approach to visualization. . . Let the people decide! give many possible visualization options encourage discussion via visualization encourage visualization via discussions both textual information and visualization aid each other 8
Many Eyes: Design Principles asynchronous (email is asynchronous; instant messaging is synchronous) enable easy creation of visualizations simple data format: spreadsheets (tables) web based: available to large audience 9
Many Eyes: Web Expectations Designed for untrained, non-specialist users survey found certain groups interested. . . Low barrier to entry Short attention span Bookmarks Undoable (back and forwards button) “Fun” and accessible 10
Many Eyes: Tree Map 11
Many Eyes: Node Link 12
Many Eyes: Stacked Chart 13
Many Eyes: Bubbles 14
Many Eyes: World Map 15
Many Eyes: Scatter Plot 16
Many Eyes: Stacked Chart 17
Many Eyes: Tag Cloud 18
Many Eyes: Node Link 19
The Social Part. . . comments on data, visualization person identified direct annotation on visualization bookmarks allow for “snapshot” (state of visualization) usual drawing tools (arrows, text), selection/highlighting allows for linking “bloggable” (embeddable) 20
Many Eyes: Visualizations used 21
Many Eyes: A Quick Demo. . . [this slide intentionally left blank] 22
Harry Potter and the Meat-Filled Freezer: A Case Study of Spontaneous Usage of Visualization Tools A review of Many Eyes' results (1 year later) some interesting results 23
visual analytics global warming and linguistic data standard visual data analysis 24
data quality and error hunting found errors in data from reliable sources National Center for Health Statistics “visual representations can quickly expose data problems” “many eyes make bugs shallow” 25
sociability – harry potter is freaking popular playful annotations: books read, countries visited adding personal touch. . . following from this. . . 26
generating mirrors – personal and collective people are narcissistic sociable like to share personal information tracking weight loss 27
sending a message using visualization to express idea (not necessarily a new one) Multiple Sclerosis Jesus appears many times in Bible Visualization confirms a persons beliefs 28
innovative use of visualizations digg “Stacked graph” stacked graphs are meant to show multiple graphs over a time period only two “time points”: diggs and comments with percentage scaling can see the relation between these two litmash use two pieces of literature as a data source 29
Many Eyes: Stacked Chart 30
Voyagers and Voyeurs: Supporting Asynchronous Collaborative Information Visualization Heer, Viégas, Wattenberg collaborative visualization tools enable visual conversations email with attachments is clumsy visualization is part of conversation (uni-directional) want to be able to see how conversation evolves over time 31
sense. us bookmarks (represents current state of visualization) bi-directional link between conversation and visualization annotation: drawings and text fixed data 32
sense. us 33
sense. us: bookmark trail 34
sense. us: map 35
sense. us: stacked chart 36
sense. us: population pyramid 37
sense. us: scatter plot 38
summarizing all of that interactivity is important! more options are better people will find novel uses to a visualization when people are involved. . . visualization is for both: finding information about data expressing their own (likely outside) view annotations “games” 39
applications to my project. . . more options are better. . . even if I don't find them immediately useful someone else may find a use 40
example 41
Discussion 42
- Many eyes visualization
- Fspos
- Typiska novell drag
- Tack för att ni lyssnade bild
- Returpilarna
- Varför kallas perioden 1918-1939 för mellankrigstiden?
- En lathund för arbete med kontinuitetshantering
- Särskild löneskatt för pensionskostnader
- Personlig tidbok fylla i
- A gastrica
- Vad är densitet
- Datorkunskap för nybörjare
- Boverket ka
- Att skriva en debattartikel
- Delegerande ledarstil
- Nyckelkompetenser för livslångt lärande
- Påbyggnader för flakfordon
- Arkimedes princip formel
- Offentlig förvaltning
- Kyssande vind analys
- Presentera för publik crossboss
- Teckenspråk minoritetsspråk argument
- Vem räknas som jude
- Klassificeringsstruktur för kommunala verksamheter
- Fimbrietratt
- Claes martinsson
- Centrum för kunskap och säkerhet
- Programskede byggprocessen
- Bra mat för unga idrottare
- Verktyg för automatisering av utbetalningar
- Rutin för avvikelsehantering
- Smärtskolan kunskap för livet
- Ministerstyre för och nackdelar
- Tack för att ni har lyssnat
- Mall för referat
- Redogör för vad psykologi är
- Matematisk modellering eksempel
- Atmosfr
- Borra hål för knoppar
- Vilken grundregel finns det för tronföljden i sverige?
- R formel
- Tack för att ni har lyssnat
- Rita perspektiv