Travelled to:
1 × France
1 × Italy
1 × South Korea
1 × USA
3 × Canada
Collaborated with:
K.Reinecke D.S.Weld S.A.Weir J.Kim R.C.Miller S.Komarov J.O.Wobbrock P.Siangliulue K.C.Arnold S.P.Dow D.R.Flatla C.Gutwin L.G.Jayatilaka L.F.Bertuccelli J.Staszewski O.Amir B.J.Grosz S.M.Swenson L.M.Sanders M.K.Nguyen A.Bernstein M.Näf K.Everitt D.S.Tan M.Czerwinski P.T.Nguyen P.J.Guo T.Yeh L.Miratrix R.Mardiko Y.Zhao J.Liu
Talks about:
user (4) interfac (3) visual (3) crowdsourc (2) support (2) predict (2) perform (2) generat (2) complex (2) automat (2)
Person: Krzysztof Z. Gajos
DBLP: Gajos:Krzysztof_Z=
Contributed to:
Wrote 13 papers:
- CHI-2015-AmirGGSS #coordination
- From Care Plans to Care Coordination: Opportunities for Computer Support of Teamwork in Complex Healthcare (OA, BJG, KZG, SMS, LMS), pp. 1419–1428.
- CSCW-2015-ReineckeG #named #online #scalability
- LabintheWild: Conducting Large-Scale Online Experiments With Uncompensated Samples (KR, KZG), pp. 1364–1378.
- CSCW-2015-SiangliulueAGD #collaboration #scalability #towards
- Toward Collaborative Ideation at Scale: Leveraging Ideas from Others to Generate More Creative and Diverse Ideas (PS, KCA, KZG, SPD), pp. 937–945.
- CSCW-2015-WeirKGM
- Learnersourcing Subgoal Labels for How-to Videos (SAW, JK, KZG, RCM), pp. 405–416.
- CHI-2014-KimNWGMG #crowdsourcing #information management
- Crowdsourcing step-by-step information extraction to enhance existing how-to videos (JK, PTN, SAW, PJG, RCM, KZG), pp. 4017–4026.
- CHI-2014-ReineckeG #visual notation
- Quantifying visual preferences around the world (KR, KZG), pp. 11–20.
- CHI-2013-FlatlaRGG13a #automation #named
- SPRWeb: preserving subjective responses to website colour schemes through automatic recolouring (DRF, KR, CG, KZG), pp. 2069–2078.
- CHI-2013-KomarovRG #crowdsourcing #performance #user interface
- Crowdsourcing performance evaluations of user interfaces (SK, KR, KZG), pp. 207–216.
- CHI-2013-ReineckeYMMZLG #complexity #predict #quantifier #visual notation
- Predicting users’ first impressions of website aesthetics with a quantification of perceived visual complexity and colorfulness (KR, TY, LM, RM, YZ, JL, KZG), pp. 2049–2058.
- CSCW-2013-ReineckeNBNG #behaviour #difference #online #scheduling
- Doodle around the world: online scheduling behavior reflects cultural differences in time perception and group decision-making (KR, MKN, AB, MN, KZG), pp. 45–54.
- CHI-2011-JayatilakaBSG #approach #visual notation
- Evaluating a pattern-based visual support approach for humanitarian landmine clearance (LGJ, LFB, JS, KZG), pp. 453–462.
- CHI-2008-GajosETCW #adaptation #predict #user interface
- Predictability and accuracy in adaptive user interfaces (KZG, KE, DST, MC, DSW), pp. 1271–1274.
- CHI-2008-GajosWW #interface #performance
- Improving the performance of motor-impaired users with automatically-generated, ability-based interfaces (KZG, JOW, DSW), pp. 1257–1266.