159.410710UserInterfaceDesign.ppt

159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;159.410/710 User Interface Design;True Experiments;Other types of experiment;Important considerations ;one group per condition each subject experiences only one condition;Watch out for interaction effects;Reliability of experimental results;Systematic errors;Systematic errors;instrumentation errors ;instrumentation errors ;Experimental Design;Experimental Design;Experimental Design;Experimental Procedures;There are many analytical tools;Data Preparation;datamax – datamin (crude – likely to increase with sample size sensitive to outliers);Start with an exploratory analysis;Start with an exploratory analysis;Analysing the Data;To compare 2 means use a t-test;To compare 2 means use a t-test;To compare 2 means use a t-test;What if hypothesis predicts sign of difference?;Σ(x1i - x1)2;Analysing the Data;Analysing the Data;Use ANOVA (aka F-test) to compare means of ≥ 2 groups;Use ANOVA (aka F-test) to compare means of ≥ 2 groups;same calculation produces 2 sets of results – these aren’t relevant;task durations;Analysing the Data;Use ANOVA (aka F-test) to compare means of ≥ 2 groups;Use ANOVA (aka F-test) to compare means of ≥ 2 groups;Analysing the Data;Assumptions of t tests and F tests;Use Pearson’s r to identify correlations;Use Pearson’s r to identify correlations