Moses - Future perspectives in Human Factors Research

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Module / Version:
#50646 / #4

Validity:
Seit SS 2018

Default display language:
English

Module title:
Future perspectives in Human Factors Research

Credits:
3

Responsible person:
Rötting, Matthias

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät V

Institute:
Institut für Psychologie und Arbeitswissenschaft

Area of expertise:
35321600 FG Mensch-Maschine-Systeme

Prüfungsausschuss:
Human Factors

Kontakt

Office:
MAR 3-1

Contact person:
Rötting, Matthias

E-mail address:
roetting@mms.tu-berlin.de

Website:

https://www.tu.berlin/mms/studium-lehre/uebersicht-ueber-unsere-lehrveranstaltungen/lehrveranstaltungen/se-hms

Learning Outcomes

Upon completion of this module, participants will be able to research current topics in human factors research and to critically evaluate and reflect them. Furthermore, the awareness of societal and ethical responsibility of science and scientists will be strengthened. Approaches to assume and incorporate those perspectives during and into their own future work will be practiced.

Content

Will intelligent systems replace humans? Will artificial intelligence rise and wipe out humanity as we know it? Will we live in VR? What will happen to social interaction? Will the human factor be emphasized or neglected? What technological break throughs will change our world? What medical technologies are on the horizon and will change our concept of health? This years' course will challenge students to discuss those and related topics controversially. We aim to identify challenges and trends and debate their importance from a scientific, social, political and ethical perspective.

Module Components

Pflicht:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
Mensch-Maschine Systeme	SEM	0532 L 069	SoSe	English	2

Workload and Credit Points

Mensch-Maschine Systeme (SEM):

Workload description	Multiplier	Hours	Total
Kontaktzeiten	15.0	2.0h	30.0h
Selbststudium	15.0	4.0h	60.0h
			90.0h(~3 LP)

The Workload of the module sums up to 90.0 Hours. Therefore the module contains 3 Credits.

Description of Teaching and Learning Methods

This module is a course. Participating students will give a talk on a related topic of their choice, followed by a group discussion and, if applicable, group work they moderate and prepare. They will also write an essay that explores this topic more in-depth and in relation to other topics discussed at the end of the term). (3CP/LP) Due to the interactive nature of the sessions, regular attendance is required.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

This course is open to students from or with an interest in all fields related to human-machine interaction. A multi-disciplinary approach is encouraged. Due to the highly interactive nature of this course, a regular attendance is required. If you already know that you will not be able to attend most of the weekly meetings, please consider participating in another term.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

Name	Points	Categorie	Duration/Extent
Essay	50	No information	3500 - 4000 words (English)
Vorbereitung eines Seminartermins	50	No information	preparation and realization of 30 min talk, 60 min session (moderating, discussion, group work)

Grading scale

This exam uses its own grading scale (see test description).

Test description (Module completion)

In order to earn credits for this module, you will be required to prepare and hold a 90-minute session, including a 30 minute talk and 60 minutes of moderating a discussion/group work. Furthermore, you will be required to write an essay discussion the topic of your talk. You can earn up to 50 points for each assignment (Portfolioprüfung). The course grade is calculated from both scores and relates to the overall score as follows: Equal to or more than 95 = 1,0 Equal to or more than 90 = 1,3 Equal to or more than 85 = 1,7 Equal to or more than 80 = 2,0 Equal to or more than 75 = 2,3 Equal to or more than 70 = 2,7 Equal to or more than 65 = 3,0 Equal to or more than 60 = 3,3 Equal to or more than 55 = 3,7 Equal to or more than 50 = 4,0 Less than 50 = 5,0

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

The maximum capacity of students is 12.

Registration Procedures

Please register for the course until April 15th via sarah.freytag@mms.tu-berlin.de .

Recommended literature
All material will be provided within the ISIS course environment.
Diverse Forschungsartikel werden in der Lehrveranstaltung bekannt gegeben und zur Verfügung gestellt.

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
	Human Factors (M. Sc.)	2	23	SS 2018	SoSe 2024
	Soziologie technikwissenschaftlicher Richtung (B. A.)	1	2	WiSe 2023/24	SoSe 2024

The module is suitable for Human Factors students as well as other disciplines.

Miscellaneous

Participants should be interested in current topics regarding technological and societal developments as well as in human factors.

Future perspectives in Human Factors Research