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ITEC 3230 (10)


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York University
Information Technology
ITEC 3230
Sotirios Liaskos

INTERACTION D ESIGN 1 Analytical Evaluation: Inspections and Predictive Models O VERVIEW  Empirical Evaluation  Involves real users  Usability Test: controlled environment  Field Study: natural environment  Analytical Evaluation  Does not involve real users.  Inspections: experience from experts  Predictive/mathematical Models 2 INSPECTIONS  Several Kinds of Inspections in Information Technology  E.g. code inspections for quality assurance.  In Interface Inspections  Experts use their knowledge of users & technology to review software usability.  Expert critiques (crits) can be formal or informal reports.  Heuristic evaluation is a review guided by a set of heuristics.  Walkthroughs involve stepping through a pre-planned scenario noting potential problems. 3 H EURISTIC EVALUATION Developed Jacob Nielsen in the early 1990s. Based on heuristics distilled from an empirical analysis of 249 usability problems. These heuristics have been revised for current technology. Heuristics being developed for mobile devices, wearables, virtual worlds, etc. Design guidelines form a basis for 4 developing heuristics. N IELSEN ’S H EURISTICS  Visibility of system status.  (design principle?)  Match between system and real world.  (reflects quality of …?)  User control and freedom.  Consistency and standards.  Error prevention.  Recognition rather than recall.  Flexibility and efficiency of use.  Aesthetic and minimalist design.  Help users recognize, diagnose, recover from errors.  (design principle?)  Help and documentation. 5 H OW H EURISTIC EVALUATION IS PERFORMED Training of evaluators (approx. 1 week) Briefing session to tell experts what to do. Evaluation period of 1-2 hours in which: Each expert works separately; Take one pass to get a feel for the product; Take a second pass to focus on specific features. Debriefing session in which experts work together to prioritize problems. 6 H OW M ANY H EURISTICS? HOW M ANY EVALUATORS ? Heuristics should: Not be too many (>10) to remember Not be too few (<5) to be difficult to discriminate Heuristic evaluation is referred to as discount evaluation when many evaluators are used Between 3-5 evaluators has been found to be the optimal (finds 75%-80% of the errors) But this may vary - it depends on the nature of the problem 7 NO .OF EVALUATORS& PROBLEMS 8 H EURISTICS : PROS AND C ONS  Few ethical & practical iss
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