HUMAN COMPUTER INTERACTION

Course Description

This course aims to provide the introduction to the field of human-computer interaction (HCI), an interdisciplinary field that integrates cognitive psychology, design, computer science and others. Examining the human factors associated with information systems provides the students with knowledge to understand what influences usability and acceptance of IS. This course will examine human performance, components of technology, methods and techniques used in design and evaluation of IS. Societal impacts of HCI such as accessibility will also be discussed. User-centered design methods will be introduced and evaluated. This course will also introduce students to the contemporary technologies used in empirical evaluation methods.

HUMAN COMPUTER INTERACTION

Evaluation Tools (Active Term)

No evaluation items have been defined.

Course outcomes

1. 01 Explain the capabilities of both humans and computers from the viewpoint of human information processing
2. 02 Describe typical human–computer interaction (HCI) models, styles, and various historic HCI paradigms.
3. 03 Apply an interactive design process and universal de-sign principles to designing HCI systems
4. 04 Describe and use HCI design principles, standards and guidelines.
5. 05 Analyze and identify user models, user support, socio-organizational issues, and stakeholder requirements of HCI systems

Course Syllabus

Reference Books & Course Materials

1. 01 Dix, A., Finlay, J., Abowd, G.D., & Beale, R. (2004). Human computer interaction (3rd ed.). Prentice Hall.
2. 02 Preece, J., Rogers, Y., & Sharp, H. (2015). Inter-action design: Beyond human-computer interac-tion (4th ed.) John Wiley & Sons Ltd.

Learning Outcomes

1. L01 Understand the fundamental concepts and theories of human-computer interaction (HCI). SOLO 5
2. L02 Identify the principles and guidelines for designing user interfaces that are usable and effective SOLO 3
3. L03 Develop an understanding of the cognitive and psychological aspects of HCI, including perception, attention, memory, and decision making. SOLO 5
4. L04 Identify various methods and techniques for user research, such as observation, interviews, and usability testing. SOLO 3
5. L05 Develop skills in designing and prototyping interactive systems, considering user needs, tasks, and contexts of use SOLO 5
6. L06 Outline different interaction styles and technologies, including graphical user interfaces, mobile interfaces, and ubiquitous computing. SOLO 3
7. L07 Interpret the importance of accessibility and universal design in creating inclusive user experiences. SOLO 3
8. L08 Gain knowledge of evaluation methods for assessing the usability and user experience of interactive systems. SOLO 5
9. L09 Interaction styles and technologies Learn about emerging topics in HCI, such as social computing, tangible interfaces, and virtual reality SOLO 4

Program Outcomes

1. P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
2. P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
3. P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
4. P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
5. P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
6. P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
7. P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
8. P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
9. P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
10. P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.

Po-Lo Matrix