GRA 6145 Human-Technology Interaction

GRA 6145 Human-Technology Interaction

Course code: 
GRA 6145
Department: 
Communication and Culture
Credits: 
6
Course coordinator: 
Christoph Lutz
Dicle Berfin Köse
Shubin Yu
Course name in Norwegian: 
Human-Technology Interaction
Product category: 
Master
Portfolio: 
MSc in Digital Communication Management
Semester: 
2023 Spring
Active status: 
Active
Level of study: 
Master
Teaching language: 
English
Course type: 
One semester
Introduction

We are increasingly surrounded by digital technology. Personal computers, smartphones, social media, intelligent personal assistants, chatbots, smart speakers, and social robots are key technologies of the digital revolution that shape our everyday lives in myriad ways. Understanding how humans interact with such technologies and what impact design has becomes ever more important. This course intends to equip students with the concepts, tools and methods to analyze and understand human interaction with digital technologies.

The course considers how technology mediates communication practices, acting as a medium for human-to-human interaction (thus interfacing with the Human-Human Interaction course), as well as how people engage with digital technology as an actor in itself through human-machine communication. In the course, students will learn about psychology and communication research in user interaction with information technologies. Students also get familiarized with interaction design and how persuasive information technologies are created.

Learning outcomes - Knowledge

After taking this course, students should have acquired knowledge of:

  • Key theories of human-technology interaction, including the role of user characteristics, technology characteristics, and contextual characteristics, 
  • Psychological and communication principles that shape human-technology interaction
  • The value of a thorough human-technology interaction understanding in practice and in different professional areas 
Learning outcomes - Skills

After taking this course, students should be able to:

  • Develop their own user- and design-oriented research project within a human-computer interaction perspective
  • Apply different human-technology interaction methods such as user experiments and A/B testing, user-centered surveyes, socio-technical walkthroughs, and design-centered interviewing techniques (e.g., think-aloud protocol)
General Competence

After taking this course, students should:

  • Have developed a holistic understanding of human-technology interaction that goes beyond technology determinism and human determinism
  • Be up-to-date about current debates in the area, especially in light of AI and smart systems
  • Be able to interpret and critically evaluate human-computer interaction, human-robot interaction, human-machine communication and adjacent research
  • Be able to reflect on the limitations of human-technology interaction
  • Understand the social embeddedness of human-technology interaction, especially its ethical implications, including aspects of intersectionality, marginalization, and representation/inclusivenes
Course content

Fundamentals and Psychologically-oriented Human-Technology Interaction (HTI)

1. ​Introduction to the course: Fundamentals and theoretical foundations of HTI

2. User characteristics and the information systems use lifecycle: The role of human factors; adoption, continued use and discontinuance of technology 

3. Technology characteristics in HTI: The role of design principles, persuasive technology, and system architecture in user behavior

4. Contextual factors in HTI: Context-of-use and its role particularly in mobile technology interaction

HTI Methods

5. Methods for HTI 1: Qualitative approaches for studying and evaluating user behavior

6. Methods for HTI 2: Quantitative approaches for studying and evaluating user behavior

Communication-Oriented HTI, Including Human-Machine Communication (HMC) and Computer-Mediated Communication (CMC)

7. Communication-oriented HTI: Introduction

8. Important theories and concepts in HMC: Computers Are Social Actors (CASA), Actor-Network Theory, Affordances

9. Interaction with disembodied “smart” and AI-driven technology: Chatbots, social media algorithms, augmented reality

10. Interaction with embodied “smart” and AI-driven technology: Social robots, smart speakers, virtual reality

Practicals

11. Guest lecture(s) and/or lab visit

12. Student presentations

Teaching and learning activities
  • Lectures (with individual and interactive exercises)
  • Collaborative group activities (discussions, debates etc.)
  • Guest lectures
  • Research project 
  • Self-study 
Software tools
No specified computer-based tools are required.
Additional information

Please note that while attendance is not compulsory in all courses, it is the student’s own responsibility to obtain any information provided in class.

This is a course with continuous assessment (several exam components) and one final exam code. Each exam component is graded by using points on a scale from 0-100. The components will be weighted together according to the information in the course description in order to calculate the final letter grade for the examination code (course). Students who fail to participate in one/some/all exam elements will get a lower grade or may fail the course. You will find detailed information about the point system and the cut off points with reference to the letter grades when the course start.

At re-sit all exam components must, as a main rule, be retaken during next scheduled course.

Qualifications

All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have specific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.

Disclaimer

Deviations in teaching and exams may occur if external conditions or unforeseen events call for this.

Assessments
Assessments
Exam category: 
Activity
Form of assessment: 
Presentation
Weight: 
20
Grouping: 
Group (2 - 4)
Duration: 
20 Minute(s)
Comment: 
The students have to deliver a short group presentation and discussion towards the end of the course. The presentation should cover a user-centered analysis of an existing digital technology such as an app, a website, a digital platform, a smart speaker, or a chatbot and employ methods taught in the course.
Exam code: 
GRA 61451
Grading scale: 
Point scale leading to ECTS letter grade
Resit: 
All components must, as a main rule, be retaken during next scheduled course
Exam category: 
Submission
Form of assessment: 
Written submission
Weight: 
40
Grouping: 
Group (2 - 4)
Duration: 
1 Semester(s)
Comment: 
As the final deliverable of the course, the students have to submit a term paper in the form of a structured research report. The submission expands on the user-centered analysis in the group presentation and should contain a short literature review, a methods section, a results section, and a discussion section, where the practical implications of the analysis is discussed.
Exam code: 
GRA 61451
Grading scale: 
Point scale leading to ECTS letter grade
Resit: 
All components must, as a main rule, be retaken during next scheduled course
Exam category: 
Submission
Form of assessment: 
Written submission
Weight: 
20
Grouping: 
Individual
Duration: 
1 Semester(s)
Comment: 
The students will be asked to complete an essay based on key texts distributed in the course as well as additional relevant literature sourced independently. The essay must be completed individually and is meant to be a reflection task on a specific question or topic relating to human-technology interaction. The essay will be short and students are not expected to hand in more than a small number of written pages. This part of the assignment will take place in the first half of the course.
Exam code: 
GRA 61451
Grading scale: 
Point scale leading to ECTS letter grade
Resit: 
All components must, as a main rule, be retaken during next scheduled course
Exam category: 
Submission
Form of assessment: 
Written submission
Weight: 
20
Grouping: 
Individual
Duration: 
1 Semester(s)
Comment: 
The students will be asked to complete an essay based on key texts distributed in the course as well as additional relevant literature sourced independently. The essay must be completed individually and is meant to be a reflection task on a specific question or topic relating to human-technology interaction. The essay will be short and students are not expected to hand in more than a small number of written pages. This part of the assignment will take place in the first half of the course.
Exam code: 
GRA 61451
Grading scale: 
Point scale leading to ECTS letter grade
Resit: 
All components must, as a main rule, be retaken during next scheduled course
Type of Assessment: 
Continuous assessment
Total weight: 
100
Student workload
ActivityDurationComment
Teaching
36 Hour(s)
With individual and interactive exercises
Student's own work with learning resources
124 Hour(s)
Sum workload: 
160

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.