ILEM808 Human Machine Communication

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Unit INSTITUTE OF SOCIAL SCIENCES
COMMUNICATION STUDIES (PhD) (INTERDISCIPLINARY)
Code ILEM808
Name Human Machine Communication
Term 2025-2026 Academic Year
Term Fall
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. SEVDA ÜNAL
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

The aim of this course is to prepare students for advanced research on the social effects and psychological implications of human-machine communication, focusing on how relationships between humans and machine partners unfold through social processes, perceptual dynamics and interaction.

Course Content

This course covers advanced research on the social and psychological effects of human-machine communication. The course examines how relationships between humans and their machine partners are shaped through social processes, perceptual dynamics and interaction. The theoretical foundations of human-machine communication, perception and social attribution processes, modes of interaction, psychological effects at the individual and societal levels, social consequences of technological communication, and ethical debates on human-machine relations will be discussed.

Course Precondition

There is no prerequisite for the course.

Resources

Piercy & Gist-Mackey, 2021 - Automation anxieties: Perceptions about technological automation and the future of pharmacy work

Notes

Guzman, 2018 – What is HMC anyway? Fortunati & A. Edwards, 2020 - Opening space for theoretical, methodological, and empirical issues in human-machine communication Fox & Gambino, 2021 - Relationship development with humanoid social robots: Applying interpersonal theories to human–robot interaction Guzman & Lewis, 2019 - Artificial intelligence and communication: A human–machine communication research agenda A. Edwards, 2018 – Animals, humans, and machines: Interactive implications of ontological classification Banks, 2020 – Theory of mind in social robots: Replication of five established human tests Gibbs et al., 2020 - Negotiating agency and control: Theorizing human-machine communication from a structurational perspective Contractor et al., 2011 – Multidimensional networks and the dynamics of sociomateriality: Bringing technology inside the network Dehnert, 2021 - Communication geographies of human-machine understanding: Entangled agencies, synthetic aesthetics, and machine matterings Fisher et al., 2015 – Searching for explanations: How the internet inflates estimates of internal knowledge Ringel & Ribak, 2020 - ‘Place a book and walk away’: Archival digitization as a socio-technical practice Choi et al., 2020 - Situated automation algorithmic creatures in participatory design


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Defines human-machine communication.
LO02 Defines human-computer communication.
LO03 Conducts research in the field of human-machine communication.
LO04 Analyzes issues related to human-machine interaction.
LO05 Explains human-machine communication processes.
LO06 Apply theories related to human-machine communication processes.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Develops critical thinking skills.
PLO02 Yetkinlikler - Alana Özgü Yetkinlik Have the conceptual and theoretical competence to explain the phenomena in Communication Studies disciplines. 3
PLO03 Beceriler - Bilişsel, Uygulamalı She/he has knowledge of basic methodological approaches, methods, research techniques and their application and evaluation in communication and media studies.(dişil) 4
PLO04 Yetkinlikler - İletişim ve Sosyal Yetkinlik Identify local, national and international problems in the field of Communication Studies.
PLO05 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Gains the ability to analyze and synthesize the phenomena in the field of social sciences in an interdisciplinary context. 5
PLO06 Beceriler - Bilişsel, Uygulamalı She/He reports a social research she designed in the field of communication studies and turns it into original works in accordance with academic rules.
PLO07 Beceriler - Bilişsel, Uygulamalı He/she transfers his/her knowledge of the field in an effective and systematic way, both verbally and in writing. Gains the ability to give lectures, conferences and seminars.
PLO08 Bilgi - Kuramsal, Olgusal Have sufficient knowledge about the basic conceptual approaches used in the field of social sciences.
PLO09 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Takes responsibility, leads and works effectively individually and/or in a team.
PLO10 Yetkinlikler - Öğrenme Yetkinliği Selects data collection and analysis techniques within the appropriate methodologies and applies empirical studies in order to solve these problems,


Week Plan

Week Topic Preparation Methods
1 Course Information Reading the course syllabus Öğretim Yöntemleri:
Soru-Cevap, Anlatım
2 What is Human-Machine Communication? Reading course resources Öğretim Yöntemleri:
Tartışma, Anlatım
3 Conceptualization of human machine communication Reading course resources Öğretim Yöntemleri:
Soru-Cevap
4 Computers becoming a social actor Reading course resources Öğretim Yöntemleri:
Tartışma, Alıştırma ve Uygulama
5 User experience and technological possibilities Reading course resources Öğretim Yöntemleri:
Anlatım, Tartışma
6 Conceptualizing machine agency and AI-mediated communication Reading course resources Öğretim Yöntemleri:
Anlatım, Soru-Cevap
7 The role of computers as social actors Reading course resources Öğretim Yöntemleri:
Tartışma, Soru-Cevap
8 Mid-Term Exam Literature review Ölçme Yöntemleri:
Ödev, Performans Değerlendirmesi
9 Science and Technology Studies (STS) Reading course resource Öğretim Yöntemleri:
Soru-Cevap, Tartışma
10 Artifacts Reading course resources and discussion Öğretim Yöntemleri:
Soru-Cevap, Anlatım
11 Politics Reading course resource Öğretim Yöntemleri:
Anlatım
12 Actor-Network Reading course resource Öğretim Yöntemleri:
Soru-Cevap, Anlatım
13 Human-computer interaction Reading course resource Öğretim Yöntemleri:
Tartışma, Soru-Cevap
14 Everywhere and Emotional Computing Reading course resource Öğretim Yöntemleri:
Tartışma, Soru-Cevap
15 Computerized computing Reading course resource Öğretim Yöntemleri:
Tartışma, Anlatım
16 Term Exams Research-application Ölçme Yöntemleri:
Proje / Tasarım
17 Term Exams Research-application Ölçme Yöntemleri:
Proje / Tasarım


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 02.05.2025 12:27