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Component-specific usability testing Dr Willem-Paul Brinkman Lecturer Department of Information Systems and Computing Brunel University (willem.brinkman@brunel.ac.uk)
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Topics Introduction Whether and how the usability of components can be tested empirically. -Testing different versions of component -Testing different components Whether and how the usability of components can be affected by other components. -Consistency -Memory load
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Introduction Component-Based Software Engineering Empirical Usability Testing
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Layered communication
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Layered Protocol Theory (Taylor, 1988) 15 + 23 = 15+23= 01111 10111 Add 100110 38 ProcessorEditor Control results Control equation UserCalculator 15 15 + 15 + 23 38
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Usability Testing Aim to evaluate the usability of a component based on the message exchange between a user and a specific component
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Two paradigms Multiple versions testing paradigm Single version testing paradigm Manage Support Re-use Create
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Test Procedure Normal procedures of a usability test User task which requires interaction with components under investigation Users must complete the task successfully
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Component-specific component measures Number of messages received The effort users put into the interaction Objective performance Perceived ease- of-use Perceived satisfaction Component Control process Control loop
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Component-specific component measures Increasing the statistical power Objective performance Perceived ease- of-use Perceived satisfaction y y 1 = x k + k y 2 = x m + m k = k component + k rest m = m component + m rest Assumption k rest m rest messages keys
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Component-specific component measures Objective performance Perceived ease-of-use Perceived satisfaction Component-specific questionnaire increase the statistical power because they help help the users to remember their control experience with a particular interaction component
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Component-specific component measures Objective performance Perceived ease-of-use Perceived satisfaction Perceived Usefulness and Ease-of-use questionnaire (David, 1989), 6 questions, e.g. Learning to operate [name] would be easy for me. I would find it easy to get [name] to do what I want it to do. UnlikelyLikely
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Component-specific component measures Objective performance Perceived ease- of-use Perceived satisfaction Post-Study System Usability Questionnaire (Lewis, 1995) The interface of [name] was pleasant. I like using the interface of [name].Strongly disagreeagree
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Experimental validation 80 users 8 mobile telephones 3 components were manipulated according to Cognitive Complexity Theory (Kieras & Polson, 1985) 1.Function Selector 2.Keypad 3.Short Text Messages
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Architecture Mobile telephone Send Text Message Send Text Message Function Selector Function Selector Keypad
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Experimental validation Functions Selector Broad/shallow Narrow/deep
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Experimental validation Keypad Repeated-Key Method “L” Modified-Model-Position method “J”
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Experimental validation Send Text Message Simple Complex
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Results Average probability that a measure finds a significant (α = 0.05) effect for the usability difference between the two versions of FS, STM, or the Keypad components
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Wilcoxon Matched-Pairs Signed-Ranks Tests between the number of correct classification made by discriminant analyses on overall and component-specific measures Results
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Topics Introduction Whether and how the usability of components can be tested empirically. -Testing different versions of component -Testing different components Whether and how the usability of components can be affected by other components. -Consistency -Memory load
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Two paradigms Multiple versions testing paradigm Single version testing paradigm Manage Create Support Re-use
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Testing Different Components Component specific objective performance measure: 1.Messages received + Weight factor A common currency 2.Compare with ideal user A common point of reference Usability of individual components in a single device can be compared with each other and prioritized on potential improvements
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Click {1} Click {1} Call <>{2} Set <Fill colour red, no border> {7} Right Mouse Button Menu Properties Assigning weight factors to represent the user’s effort in the case of ideal user
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Total effort value Total effort = MR i.W MR i.W : Message received. Weight factor Click {1} Click {1} Call <>{2} Right Mouse Button Menu Properties 5 2 = 7 + 2
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Assigning weight factors in case of real user Correction for inefficiency of higher and lower components Visual Drawing Objects Properties Right Mouse Button Menu
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Assigning weight factors in case of real user Assign weight factors as if lower components operate optimal Visual Drawing Objects Properties Right Mouse Button Menu Inefficiency of lower level components: need more messages to pass on a message upwards than ideally required
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Assigning weight factors in case of real user Visual Drawing Objects Properties Right Mouse Button Menu Inefficiency of higher level components: more messages are requested than ideally required UE: User effort MR i.W : Message received. Weight factor #MSU real :Number of messages sent upward by real user #MSU ideal :Number of messages sent upward by ideal user MR i.W #MSU real #MSU ideal UE =
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Ideal User versus Real User Extra User Effort = User Effort - Total effort The total effort an ideal user would make The total effort a real user made The extra effort a real user made Calculate for each component: Prioritize
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Experimental validation 40 users 40 mobile telephones 2 components were manipulated (Keypad only Repeated-Key Method) 1.Function Selector 2.Short Text Messages
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Results Mobile phones Extra User Effort
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Results MeasureFunction Selector Send Text Message Objective Extra keystrokes0.64**0.44** Task duration0.63**0.39** Perceived Overall ease-of-use-0.43**-0.26* Overall satisfaction-0.25*-0.22 Component-specific ease-of-use-0.55**-0.34** Component-specific satisfaction-0.41**-0.37** Partial correlation between extra user effort regarding the two components and other usability measures *p. <.05. **p. <.01.
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Comparison with other evaluation methods Overall measures Sequential Data analysis GOMS Thinking-aloud, Cognitive Walkthrough and heuristic evaluation Example: Keystrokes, task duration, overall perceived usability Relatively easy to obtain Unsuitable to evaluate components
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Overall measures Sequential Data analysis GOMS Thinking-aloud, Cognitive Walkthrough and heuristic evaluation Based only on lower-level events Pre-processing: selection, abstraction, and re-coding Relation between higher- level component and compound message less direct Components’ status not recorded Comparison with other evaluation methods
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Help to understand the problem Only looking at error-free task execution Considers the system only at the lowest-level layer Overall measures Sequential Data analysis GOMS Thinking-aloud, Cognitive Walkthrough and heuristic evaluation Comparison with other evaluation methods
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Quicker Evaluator effect (reliability) Overall measures Sequential Data analysis GOMS Thinking-aloud, Cognitive Walkthrough and heuristic evaluation Comparison with other evaluation methods
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Topics Introduction Whether and how the usability of components can be tested empirically. -Testing different versions of component -Testing different components Whether and how the usability of components can be affected by other components. -Consistency -Memory load
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Consistency problems
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Consistency Activation of the wrong mental model
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Consistency experiments 48 Users Used 3 applications: 1.4 Room Thermostats 2.4 (2 Web-Enabled TV sets 2 Web Page Layouts) 3.4 Applications (2 Timers 2 Application domains)
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Within one layer
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Within one layer – Experimental Design Day time Temperature Night time Temperature Moving Pointer Moving Scale Moving Pointer Moving Scale
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Within on layer - Results
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Between layers Web-enable TV set Browser versus Web pages
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Between layers - Page Layout List layout Matrix layout
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Between layers - Browser
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Between layers – Experimental Design Web Page Version Browser List Matrix Linear Plane
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Between layers - Results
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Application domain
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Between Application domain – Experimental Design Application Timer Alarm radio Microwave Mechanical alarm Hot dish
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Application domain - Results
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Topics Introduction Whether and how the usability of components can be tested empirically. -Testing different versions of component -Testing different components Whether and how the usability of components can be affected by other components. -Consistency -Memory load
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Mental effort problems
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Mental Effort - Calculator ProcessorEditor Control results Control equation UserCalculator
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Memory load – Experimental Design Equation Editor Easy Difficult Large display Small display
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Mental Effort - Heart-rate variability
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Mental Effort - Control of higher- level layer
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Conclusions Whether and how the usability of components can be tested empirically. -Testing different versions of component : more powerful -Testing different components : prioritized on potential improvements Whether and how the usability of components can be affected by other components. -Consistency : components on the same or on higher- level layers can activate wrong mental models -Memory load : lower-level interaction affects higher- level interaction strategy
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Questions Thank you for your attention
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