Spring 2018 - IAT 201 D100

Human-Computer Interaction and Cognition (3)

Class Number: 4657

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 3 – Apr 10, 2018: Mon, 12:30–2:20 p.m.
    Surrey

  • Prerequisites:

    Completion of 24 units, including at least one lower division "W" course.

Description

CALENDAR DESCRIPTION:

Introduces topics in human perception, cognition and embodied action as a foundation of design for human use. It explores the practical application of techniques for analyzing diverse interactive situations and designing effective user interfaces. Students will engage in the analysis and design of a simple user interface, gaining detailed knowledge and experience with the standard basic techniques for interface specification, prototyping and evaluation.

COURSE DETAILS:

This course takes a scientific approach to understanding human cognitive abilities and how they can inform the design and evaluation of interactive technologies. This includes the cognitive processes of the designer (design thinking) and of the user of the technology (human-computer interaction). 

Our approach to understanding “design thinking” is based on theories and models in educational psychology— Bloom’s Taxonomy, Perry’s Scheme, and Schön’s Reflective Practitioner model. Our goal is to understand multiple perspectives on design and to reconcile them in our own design processes. The challenge in this part of the course is to be able to build your own approach to design, to make informed design decisions, and to be able to discuss the pros-and-cons with colleagues.

Our approach to information technology design comes from Herbert Simon, W. Brian Arthur, and Donald Norman’s cognitive engineering approaches. Computers, smartphones, and intelligent devices have evolved to support a wide variety of human activities. In the future, devices such as 3D displays and wearable computers and advanced interaction methods using speech, gesture and multi-touch surfaces will further increase our immersion in an all-encompassing “internet of things”. As the diversity of uses of computing technology increases the design goals for applications must focus on aspects of human life that go well beyond usability. Understanding the psychology of human motivation, communication, learning, and reasoning will enable designers to better support this broad range of applications. 

The course begins with an in-depth discussion of human information processing psychology as the scientific basis for interaction design. We will explore natural human abilities such as perception, thinking, learning and remembering. We then introduce other voices from ecological perception and distributed cognition perspectives. Students are asked to take a critical perspective on how these perspective can be part of technology design processes. Our goal is to create a strong scientific foundation for design, preparing students for upper level SIAT courses and a rapidly evolving job market.

COURSE-LEVEL EDUCATIONAL GOALS:

Learning Outcomes 

  • Become a reflective design practitioner, able to use "design thinking" in a broad range of contexts and applications. 
  • Build an understanding of key concepts, theories, and methods in the study of human information processing psychology (HIP): 
    • Describe basic human perceptual, cognitive and social capabilities. 
    • Read and understand research on specific aspects of cognitive psychology 
    • Evaluate designs with regard to how they support human capabilities. 
  • Build an understanding of alternative perspectives on human experience from ecological perception and distributed cognition approaches.
  • Use HIP and alternative perspectives in technology design processes with the goal of supporting and enhancing human capabilities.

 

Grading

  • Individual Assessment 100%

NOTES:

Marks are based entirely on individual performance on exams, writing assignments, and course participation. Final marks are normed (“curved”) to approximate  SFU 2nd year course averages. While some marks may change, the general marking strategy is as follows:

10% Participation
70% Exams and quizzes
20% Analytic writing assignment

In terms of content:

40% knowledge of human information processing psychology (examination)
40% distributed and ecological cognition analysis  (examination)
20% application to design analysis (written assignment)

Materials

REQUIRED READING:

"Designing with the Mind in Mind:  Simple Guide to Understanding User Interface Design Rules" (2014) by Jeff Johnson; 2nd Edition; Morgan Kaufmann
ISBN: 9780124079144

Online readings posted in CANVAS

RECOMMENDED READING:

"Supersizing the Mind:  Embodiment, Action & Cognitive Extension" (2010) by Andy Clark; Oxford University Press
ISBN: 9780199773688

Registrar Notes:

SFU’s Academic Integrity web site http://students.sfu.ca/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

Each student is responsible for his or her conduct as it affects the University community.  Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS