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Project Report An investigation on data entry effectiveness & efficiency
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Agenda Introduction Experiment Design Experiment Platform Data Analysis Conclusion
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Introduction Developing fast and efficient means for text entry is one of the most pressing research topics in today! Although the QWERTY layout is entrenched for physical keyboards, soft keyboards are easy to implement and customize.
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Objective To develop a statistically reliable analysis of possible factors that may have influence on the input efficiency and error rate of the soft keyboard and give design guideline on this issue.
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Response variables Average typing speed Error rate
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Cause–and-effect Diagram
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Control variables Keyboard layout Key size Key shape Mouse C/R ratio
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Keyboard layout
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Other Control Factors Key size Large : the size of keys on standard physical keyboard Small : that of general electronic dictionaries Mouse C/R ratio High : the highest in the tested computer. Low : adjusted one which is the lower bound that one can bear Key shape There are three kinds of key shape generally, but we choose two of them for simplicity: circle and square, the rest is hexagon
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Learning Curve for Novice
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Experiment Design(1/3) Mixed Level Full Factorial Design Repleicated on two testees Each testee enters the same paragraph of text with different combinations of control factors
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Experiment Design(2/3)
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Experiment Design(3/3) Block On Noise Variables Data within each block is homogenous (exclude the potential influence of different users) Enough DOF to Estimate Interactions Eliminate Learning Effect Two replicates with different (randomly generated) execution sequence
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Platform(1/4) Large-Small High-Low FITALY-OPTI II- METROPOLIS-QWERTY Square-Circle. There are 16 different types of soft keyboard in all.
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Platform(2/4) FITALYOPTI II METROPOLISQWERTY
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Platform(3/4)
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Platform(4/4) Saved in CSV files Key name, x- coordinate, y- coordinate, the time when it is entered Errors: number of “Backspace”
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Discussion on Error Rate Errors may not be noticed immediately. Sequence of the words or letters may be changed, due to other reasons unrelated to the keyboard. Click “Backspace” when ever testee notices error and count the number of “Backspace” clicked as error
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Analysis Tools DOE++ Minitab Two Kinds of Responses Time Error rate Principle Treat different responses separately Find an integrative optimal solution
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Response Time Data Analysis
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Step 1: ANOVA The main effect is significant
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Step 2: Regression Ignore the 3 or higher order effects Keep the significant items
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Step 3:Probability Plot
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Step 4: Eliminate Insignificant factors Keep A, B1, B2, B3
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Step 5: Residual Checking
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Step 6: Interaction Matrix
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Conclusion Time will be shorter when factor size= 2(larger size) factor layout=1(qwerty), and then 4(FITALY), 2(metro), 3(OPTI) The factor shape and C/R ratio will not influence the result if the response is time
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Error Rate Data Analysis
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Step 1: ANOVA The main effect is significant
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Step 2: Regression Ignore the 3 or higher order effects Keep the significant items
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Step 3: Probability Plot
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Step 4: Eliminate Insignificant Factors Keep B 1, AB 1, AB 2, C
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Step 5: Residual Checking
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Step 6: Interaction Matrix
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Conclusion It is more reasonable to choose factor size= 2(larger size) Hence factor layout = 4(FITALY) will be chosen when the size=2 The factor C/R ratio=1(low) will be better Factor shape has no effects
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Final Recommendation Larger size FITALY layout Low C/R ratio Both shapes
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Potential Weakness Limited Sample Size Both Young Female University Students Familiar with QWERTY Without Upper Case Limited to English Text
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Q&A
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