GRA 6140 Human-Human Interaction

GRA 6140 Human-Human Interaction

Course code: 
GRA 6140
Department: 
Communication and Culture
Credits: 
6
Course coordinator: 
Suzanne van Gils
Jing Wu
Course name in Norwegian: 
Human-Human Interaction
Product category: 
Master
Portfolio: 
MSc in Digital Communication Management
Semester: 
2023 Autumn
Active status: 
Active
Level of study: 
Master
Teaching language: 
English
Course type: 
One semester
Introduction

In this course, we focus on the dynamics of interactions between humans. The theories that are covered in this course contribute to understanding how people interact, as well as the cognitive patterns and biases that underly these interactions. We will explore key theories from the domains of social psychology, communication, and organizational behavior to understand the drivers of interaction between humans, as well as its limitations. As an examination of this course, students should hand in an empirical research paper. 

The course will start with an introduction of theories of interaction at the individual level, focusing on self-identity, stereotypes and biases, and patterns of collaboration and communication with others. In the second part of the course, we will focus on group and network dynamics, and the role of diversity and minority influence.

Learning outcomes - Knowledge

After completion of this course, students should have knowledge of:

  • The core elements of individual and group interaction processes
  • Core elements of team interactions and diversity 
  • Communication dynamics and negotiation techniques
  • New forms of digital communication and how they reconstitute traditional forms of organizing.​
  • How communication dynamics are expressed in quantitative and qualitative, offline and online data.​
Learning outcomes - Skills

After this course, students should be able to:

  • Develop hypotheses and a research model focused at interpersonal or intergroup interactions
  • Understand the use of questionnaire designs in research
  • Present a theoretical model 
  • Test and critically evaluate hypotheses in a larger datase
  • Analyse existing relational, interactional and design theories, methods, and interpretations, and work independently on practical and theoretical communication management challenges. ​
  • Solve communication problems in an evidence-based and data-driven manner and formulate corresponding communication propositions. ​
General Competence

After the course students should be able to: 

  • Critically assess theories on interaction between human actors
  • Use and reflect on evidence-based (experimental and survey) methodology to determine message strategies
  • Apply the theories and empirical research insights covered in this course to solve real-world challenges around the dynamics of interactions among humans
  • Discuss the implications of the dynamics of interactions among humans from the perspectives of different key stakeholders
  • Develop forward-thinking, creative capabilities, and data-driven reasoning.​
Course content
  • Micro interactions: Understanding individuals and interpersonal interactions: 
  1. Introduction to the course: Key concepts including self/identity/role, interpersonal interaction, teams, and workgroup diversity
  2. Stereotypes and biases: Stereotypes and prejudices, Stereotype-induced barriers confronting minority members, Role congruity: Double bind, Stereotyped biases in leadership practices 
  3. Cooperation/coordination Interdependence: Cooperation and coordination, Interdependence in organizations, Types of task interdependence
  4. Persuasion and negotiation: Persuasion strategies, Interpersonal behavior in negotiation
  5. Morality, and group norms: Moral behavior at different levels, Immorality and moral justification, (Group) norms and behavior
  • Macro interactions: Understanding interactions in the context of teams and organizations: 
  1. Diversity management: Two key perspectives, Relational demography, Diversity climate and cognition
  2. Group dynamics & information/knowledge sharing: Group dynamics, Knowledge sharing, Interdependence and its effect in teams
  3. Network barriers confronting minority members: Structural network constraints, Homophily, Possible solutions
  4. Applied: what can organizations do to improve interactions? Diversity practices in organizations: a debate on Affirmative Action Plans
Teaching and learning activities
  • Pre-class self-study
  • Lectures including interactive exercises (e.g., team tasks, group debates)
  • Leading discussions about the literature in class
  • Presentation of research proposal
  • A research paper in which students develop and test a quantitative research model based on variables assessed through a course wide survey. The research model will be developed and presented in the first half of the course.
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.

The examination for this course has been changed from autumn 2023. The course now has one exam element in addition to mandatory coursework that must be approved before you can take the exam. It is not possible to resit the old version of the examination.

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.

Mandatory courseworkCourseworks givenCourseworks requiredComment coursework
Mandatory11Presentation of research proposal. Students will receive feedback from the lecturers. Based on the feedback, the students further develop the model, conduct a quantitative study, analyze the data, and submit a research paper in the end of the course.
Mandatory coursework:
Mandatory coursework:Mandatory
Courseworks given:1
Courseworks required:1
Comment coursework:Presentation of research proposal. Students will receive feedback from the lecturers. Based on the feedback, the students further develop the model, conduct a quantitative study, analyze the data, and submit a research paper in the end of the course.
Exam categoryWeightInvigilationDurationGroupingComment exam
Exam category:
Submission
Form of assessment:
Written submission
Exam code:
GRA 61401
Grading scale:
ECTS
Grading rules:
Internal examiner
Resit:
Examination when next scheduled course
100No1 Semester(s)Group (3 - 4)Written assignment of the research project. Based on the proposal presentation and feedback, students further develop the model, conduct an quantitative study, analyze the data, and submit a research paper in the end of the course.
Exams:
Exam category:Submission
Form of assessment:Written submission
Weight:100
Invigilation:No
Grouping (size):Group (3-4)
Duration:1 Semester(s)
Comment:Written assignment of the research project. Based on the proposal presentation and feedback, students further develop the model, conduct an quantitative study, analyze the data, and submit a research paper in the end of the course.
Exam code:GRA 61401
Grading scale:ECTS
Resit:Examination when next scheduled course
Type of Assessment: 
Ordinary examination
Total weight: 
100
Student workload
ActivityDurationComment
Teaching
24 Hour(s)
Student's own work with learning resources
62 Hour(s)
Group work / Assignments
62 Hour(s)
Feedback activities and counselling
12 Hour(s)
Including presentation
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.