Course Name: Multimodal Interaction

Course abstract

In this course we will set the basics for an understanding of multimodal communication between humans and multimodal interaction between humans and machines. We will start with clarifying the basic principles of human-human communication and human-machine interaction. We will then describe the processes taking place in humans when perceiving auditory, visual and tactile signals, as well as how these perceptions are integrated in order to form a multimodal perception. The signals can be generated and received by machines which are able to interact with humans in limited domains. The set-up of such machines will be discussed, and limitations as well as potential solutions to overcome these limitations will be explained.


Course Instructor

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Prof.Dr.-Ing.Sebastian Moller

Sebastian Möller studied electrical engineering at the universities of Bochum (Germany), Orléans (France) and Bologna (Italy). From 1994 to 2005, he held the position of a scientific researcher at the Institute of Communication Acoustics (IKA), Ruhr-University Bochum, and worked on speech signal processing, speech technology, communication acoustics, as well as on speech communication quality aspects. From 2005 to 2015, he worked at Telekom Innovation Laboratories, an An-Institut of TU Berlin. He was appointed Full Professor for the subject "Quality and Usability" at TU Berlin in April 2007. From 2015 to 2017, he was Vice Dean for Research of the Factulty for Electrical Engineering and Computer Science at TU Berlin, and since April 2017, he serves as the Dean of this faculty. He also leads the research department "Language Technology" at the German Research Center for Artificial Intelligence, DFKI.
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Dr.-Ing.Stefan Hillmann

Stefan Hillmann studied computer science at the Technische Universität Berlin (Germany). In 2006 he was co-founder of a start-up about analysis and visualization of e-mail-based interactions and processes. Until 2010 he worked as a software developer of web applications for credit banks and insurances. Since 2010 he is a scientific researcher at the Quality and Usability Lab (Technische Universität Berlin). His main topic is the simulation-based usability evaluation of interactive spoken and multimodal dialog systems. He finished his PhD on this topic in 2017.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Feb-Mar 2019

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 Syllabus

 Enrollment : 15-Nov-2018 to 25-Feb-2019

 Exam registration : 25-Feb-2019 to 22-Mar-2019

 Exam Date : 28-Apr-2019, 28-Apr-2019

Enrolled

432

Registered

101

Certificate Eligible

62

Certified Category Count

Gold

0

Elite

9

Successfully completed

53

Participation

33

Success

Elite

Silver

Gold





Legend

>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 3 out of 4 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score

NOTE: We have taken the average of assignments in a particular week.
NOTE: WEEK 1=Avg(A1+A2), WEEK 2= A3,WEEK 3=A4, WEEK 4=A5

Multimodal Interaction - Toppers list

NIVED RAJARAMAN 74%

INDIAN INSTITUTE OF TECHNOLOGY,MADRAS

SASI PREETHA 72%

HOME

AFSHIYA SULTANA 70%

NEW HORIZON COLLEGE OF ENGINEERING

NISHA R 69%

NEW HORIZON COLLEGE OF ENGINEERING

POOMARI M 69%

NEW HORIZON COLLEGE OF ENGINEERING

Enrollment Statistics

Total Enrollment: 432

Registration Statistics

Total Registration : 101

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.