From BELIV 2010

Presentation

Notes

- for most vis, is there a better design? engaging designer in evaluation

- analytical framework for vis criticism

- cost effective vis techniques: crowdsourced experiments

- replicate clevelands graphical perception study in the 80s using m. turks

- higher variance but same pattern holds, turkers are more accurate and faster

q and a:

- cost to pay for becoming main stream, people doing fun things for a while, but will settle? more important in system design and defaults

- reward structure different for designers and infovis researchers? can learn from each other, playfulness may be good

- easier on the web to propose new design since only need to draw? data is a stakeholder in vis as in users, prototyping for vis is different from other interfaces

- criticism, bad vis is not helpful? mean constructive, strength and weaknesses

- other side, tufte, too far over the extreme and too designed? have other books