Display language
To modulepage Generate PDF

#50066 / #8

SoSe 2023 - SoSe 2023

English

Special topics of Cognitive Psychology 2

6

Wiese, Eva

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät V

Institut für Psychologie und Arbeitswissenschaft

35321100 FG Kognitionspsychologie und Kognitive Ergonomie

Human Factors

Kontakt


MAR 3-2

Wiese, Eva

eva.wiese@tu-berlin.de

Learning Outcomes

The goal of the seminar is to introduce students to contemporary approaches in social robotics, that is: how to design and evaluate robots that trigger humanlike social interaction patterns (e.g., displaying emotions, turn-taking), are intuitive to interact with and active brain areas that are also activated during human-human interactions. During the course, we will discuss the psychological and neurophysiological basics underlying social interactions (human-human and human-robot), with a focus on mind perception, mentalizing, action understanding, joint action and trust. The course also covers common application areas for social robots, such as health care, education and home assistance. The successful completion of this course will allow students to: 1) be able to evaluate publications in the field of human-robot interaction, 2) understand the main insights and challenges in human-robot interaction, 3) understand the most important social-cognitive and neurophysiological principles underlying social interactions, 4) be able to select appropriate measures and paradigms to examine human-robot interaction, 5) know effective principles to design artificially intelligent social agents, and 6) formulate their own research proposal for a potential study in the field of human-robot interaction.

Content

Basics: Definition of social robotics; classification systems used to categorize social robots; social neuroscience of social interactions; psychological basis of social perception, interaction and action; discussion of core paradigms and measurement tools in human-robot interaction; challenges in human-robot interaction; design principles for social robots; basics of human-robot teaming, trust and trust calibration in human-robot interaction. Application: Use of and challenges associated with social robots in: health and elderly care, therapy and education and everyday environments.

Module Components

Pflichtgruppe:

1 from the following courses must be completed.

Course NameTypeNumberCycleLanguageSWSVZ
Social-cognitive aspects of human-robot interactionSEM50067k.A.English4

Workload and Credit Points

Social-cognitive aspects of human-robot interaction (SEM):

Workload descriptionMultiplierHoursTotal
Attendance15.04.0h60.0h
Pre/post processing15.08.0h120.0h
180.0h(~6 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

The seminar is designed as an integrated event, during which different teaching / learning forms will be used. The basic content is primarily conveyed through presentations by the instructor. Specific aspects of human-robot interaction will be covered both via student presentations, as well as through discussions of current international publications.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

none

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

German/English

Test elements

NamePointsCategorieDuration/Extent
Homework Assignment70writtenappr. 5 pages
Presentation30flexible45-minute presentation of a scientific paper

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt95.0pt90.0pt85.0pt80.0pt75.0pt70.0pt65.0pt60.0pt55.0pt50.0pt

Test description (Module completion)

The module can be taken as “non-graded” or “graded” for students of "Human Factors" Master Programm in the version of 2018 (version must be bindingly and irrevocably determined when registering for the exam).

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:
Winter- und Sommersemester.

Maximum Number of Participants

The maximum capacity of students is 20.

Registration Procedures

via Email to christin.boeschow@tu-berlin.de giving the following information: - Name - Matrikel - Course of Study (Studiengang)

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  unavailable

 

Literature

Recommended literature
No recommended literature given

Assigned Degree Programs


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

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

No information