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User Interface and Data Quality Martin Staudinger Inst. for Geoinformation Technical University Vienna REVIGIS: Data Fusion and Separation Carnuntum, Austria.

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Presentation on theme: "User Interface and Data Quality Martin Staudinger Inst. for Geoinformation Technical University Vienna REVIGIS: Data Fusion and Separation Carnuntum, Austria."— Presentation transcript:

1 User Interface and Data Quality Martin Staudinger Inst. for Geoinformation Technical University Vienna REVIGIS: Data Fusion and Separation Carnuntum, Austria 24.-26.6.2001

2 2 Motivation Software calculating spatial data from measurement data original version for surveyors new version for civil engineers (building trade) and architects Questions differences between two versions what to exclude from the “light” version? Suggestion exclude network part and other elements using specific knowledge of surveyors

3 3 Motivation (cont.) My questions: suggestions right? quality of the results? Relevance for REVIGIS producing specific data for particular users and uses surveyors get different results than architects if using the same data set with different program versions

4 4 Human Computer Interaction (HCI) User interface = concepts and models of software designer and developer (“design model”) meet with concepts and models of the user (“user model”) using a visual interface (“System’s image ”)

5 5 User Centred Design Focus on the users Focus on the users and their tasks (Focus on the technology) Looking at users = looking at goals Looking at use = looking at tasks What designers think: goals and tasks are the same or tasks are driven by the users’ goals

6 6 Users’ Goals What designers think: “Work efficiently” “Increase profit of the company” “Getting the best results possible” What users want: Not looking stupid Not making too big mistakes Getting an adequate amount of work done Having fun (at least: Not being bored)

7 7 Surveyors vs. Architects Use different vocabulary Have different concept of space (coordinates, e.g.) Think in different scales and resolutions Have different knowledge of spatial concepts Have experts, but at a different level Have to perform different tasks

8 8 Example I

9 9 Interface and Data Quality Statistics of measurement data Random errors (inexactness of the measurements) Systematic errors (model errors) Gross errors (blunders, mistakes) Random errors not influenced by the interface (measurements; processor of the computer)

10 10 Interface and Data Quality (cont.) Gross errors influenced by the visual interface “Hall of shame of bad dialog box design” Systematic errors influenced by the conceptual model errors, which the software designer WANTS to make using a simpler concept and model of the problem

11 11 Example II

12 12 Example III

13 13 References Alan Cooper, About Face: The Essentials of User Interface Design (1995) Alan Cooper, The Inmates Are Running the Asylum: Why High-Tech Products Drive Us Crazy and How to Restore the Sanity (1999) Jeff Johnson, GUI bloopers: Don'ts and do's for software developers and Web designers (2000) Donald A. Norman: The Psychology of Everyday Things (1988) Donald A. Norman: The Invisible Computer: Why Good Products Can Fail, the Personal Computer Is So Complex and Information Appliances Are the Answer (1998)

14 14 References (cont.) Jef Raskin, The human interface: New directions for designing interactive systems (2000) Ben Shneiderman, Designing the user interface: Strategies for effective human-computer- interaction (1987/1998) JoAnn T. Hackos and Janice C. Redish, User and task analysis for interface design (1998) Bernhard Preim, Entwicklung interaktiver Systeme: Grundlagen, Fallbeispiele und innovative Anwendungsfelder (1999)

15 15 Audience out of memory. Presentation will terminate here. If problems still exist, please contact the speaker. Please press [OK], if this is OK for you, or [OK], if not. [ OK ] staudinger@geoinfo.tuwien.ac.at


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