Programme: BSc in Industrial Design Engineering
Subject Role: Compulsory elective
Recommended semester: 4
Objectives
The aim of the course is for industrial design engineer students to use their knowledge of ergonomics in relation to software user interfaces, to get an overview of the specific methods required for this, and to learn about the approach to interaction design.
Academic results
Knowledge
- They have comprehensive knowledge of software ergonomic design guidelines.
- They have knowledge of the psychological, cognitive, and physiological background of certain software ergonomic design guidelines.
- They know approaches to the concept of usability and usability factors.
- They have comprehensive knowledge of the set of methods of software ergonomics, primarily the methods of concept creation and testing, as well as usability tests.
- They know the basic approach of interaction design and user experience design.
Skills
- They are able to create multi-level concepts (sketch, wireframe, mockup) of software user interfaces or websites and use them for concept testing (paper prototyping).
- They are capable of ergonomic testing of software user interfaces or websites using both analytical and empirical methods.
- They are able to plan, conduct and evaluate information ergonomics experiments and empirical tests.
Attitude
- They ooperate with the instructor and fellow students during the expansion of knowledge.
- They expand his knowledge through continuous knowledge acquisition.
- They are open to the use of new methods and new information technology tools.
- They follow a user-centered approach.
Independence and responsibility
- In some situations - as part of a team -, they cooperate with fellow students in solving tasks.
- They adapt their independent work to their work in the group.
- They accept well-founded critical comments with an open mind.
- They responsibly communicate the user-centered and human-centered approach to others.
Teaching methodology
Lectures, exercises, laboratory exercises, assignments prepared independently or in group work
Materials supporting learning
- Herendy Csilla, Hercegfi Károly, Szabó Bálint, Tóvölgyi Sarolta, 2024, UX kutatási módszerek: A felhasználói élmény kutatása során alkalmazható gyakorlati módszerek, tudományos hátterük és összefüggéseik. Budapest: Edge 2000 Kiadó. http://hdl.handle.net/10890/57645
- Alan Cooper, 2014, About Face: The Essentials of Interaction Design, 4th Edition, Wiley
- Caldwell, B. – Cooper, M. – Reid, L.G. – Vanderheiden, G. (eds.), 2008, Web akadálymentesítési útmutató 2.0a. W3C. http://www.w3c.hu/forditasok/WCAG20/
- Krug, Steve, 2008, Ne törd a fejem! Budapest: HVG Kiadó.
- Shneiderman, Ben, et. al. 2016, Designing the User Interface, 6th Edition, Pearson.
- Weinschenk, Susan, 2011, 100 dolog amit minden tervezőnek tudnia kell az emberekről. Budapest: Kiskapu.
General Rules
A 2.2. pontban megfogalmazott tanulási eredmények értékelése két évközi írásbeli teljesítménymérés (összegző tanulmányi teljesítményértékelés), és egy csoportmunkában vagy egyénileg elkészített házi feladat alapján történik.
Performance assessment methods
Összegző tanulmányi teljesítményértékelés (ZH) és részteljesítmény értékelés (házi feladat).
Percentage of performance assessments, conducted during the study period, within the rating
- zárthelyi dolgozat: 25
- egyéni vagy csoportos házi feladat: 75
Percentage of exam elements within the rating
Issuing grades
% | |
---|---|
Excellent | 90-100 |
Very good | 80-89 |
Good | 70-79 |
Satisfactory | 60-69 |
Pass | 40-59 |
Fail | 0-39 |
Retake and late completion
A zárthelyi dolgozat pótolható vagy javítható a szorgalmi időszak utolsó hetében tartott pótZH-n, továbbá pótolható a pótlási héten tartott pótpótZH-n is. A házi feladat pótolható a pótlási időszak utolsó napjáig.
Coursework required for the completion of the subject
Nature of work | Number of sessions per term |
---|---|
Részvétel az előadásokon, gyakorlatokon és laborgyakorlatokon | 56 |
Felkészülés az összegző teljesítményértékelésre | 30 |
Házi feladat készítése | 64 |
Összesen | 150 |
Approval and validity of subject requirements
Consulted with the Faculty Student Representative Committee, approved by the Vice Dean for Education, valid from: 04.11.2024.
Topics covered during the term
Lecture topics | |
---|---|
1. | User experience (UX), interaction design and boundaries. Foundations of user-centered design. The importance of the user profile. Persona excercise. |
2. | Design guidelines 1: Weber-Fechner and Stevens' sensation functions. Applying Fitts' Law to the user interface. Motion enhancement, contrast enhancement, guidelines resulting from the human characteristics of color perception (complementary colors). Color fidelity and color spaces. Selection options for beginners and experienced users. Hick's law. Mental models. Metaphors of user interfaces. Desktop metaphor. |
3. | General design guidelines, Shneiderman's golden rules. Standards. W3C.org Accessibility Guidelines (WAI WCAG). Platform-specific principles (style guides). Microinteractions. |
4. | Obtaining information from potential users: observation, interview, focus group, questionnaire, design-ethnography, Q sorting, etc. |
5. | Basics of concept and prototyping: sketching, wireframing, prototyping. Concept testing in a low-fidelity way: paper prototyping. Rapid prototyper tools – Figma exercise. |
6. | Design patterns. |
7. | Information architecture, card sorting. |
8. | User journey, customer journey map. |
9. | Overview of design methods: A/B testing. GOMS model. Storyboarding methods. Concept testing in high fidelity: Wizard of Oz. |
10. | Analytical methods of software usability evaluation. Cognitive walkthrough exercise. Nielsen's heuristic analysis exercise. |
11. | Empirical methods of software usability evaluation: Usability testing based on screen recording, event logging and video analysis. Analysis of objective event data (e.g., key and mouse actions). Analysis of log files. Think Aloud protocol and Retrospective Think Aloud protocol. Eye tracking exercise. Mental effort and its measurement. Application of physiological signals (heart rate variability, pupillometry, skin conductance). A complex empirical research method: INTERFACE. |
12. | UX in industrial practice. |
Additional lecturers
Name | Position | Contact details |
---|---|---|
Herendy Csilla | tudományos munkatárs | herendy.csilla@gtk.bme.hu |
Szabó Bálint | adjunktus | szabo.balint@gtk.bme.hu |
Molnár Marietta | PhD hallgató | marietta.molnar@edu.bme.hu |
Németh Ádám | megbízott oktató | nemeth.adam@gtk.bme.hu |