Multimodal user interfaces

  • Teaching

    Details

    Faculty Faculty of Science and Medicine
    Domain Computer Science
    Code UE-SIN.08612
    Languages English
    Type of lesson Lecture
    Level Master
    Semester SS-2026

    Schedules and rooms

    Summary schedule Friday 10:15 - 13:00, Hebdomadaire (Spring semester)
    Struct. of the schedule 3h par semaine durant 14 semaines
    Hours per week 3

    Teaching

    Responsibles
    • Lalanne Denis
    Teachers
    • Lalanne Denis
    Description

    Multimodal interfaces (MMIs) coordinate natural input modalities (such as voice, gesture, facial expressions etc.) with multimedia output modalities (such as video, audio, information visualizations, 3D graphics etc.). This course is oriented towards Master students who want to gain a deeper understanding of the domain and will give them the basic techniques for designing, implementing and evaluating multimodal interfaces, as well as theoretical knowledge on multimodality, representation, visualisation of information and cognitive ergonomics.

    Training objectives

    During the practical exercises, students will have the opportunity to create their own multimodal interfaces. By the end of the course, a student should:
    - Be able to design, program and evaluate a multimodal interface, thanks to the hands-on practice throughout the course.
    - Know the properties of multimodal interfaces.
    - Master the different levels of multimodal fusion.
    - Be familiar with the architectures of software adapted to multimodal interfaces and be able to understand synchronicity       problems.
    - Have theoretical and practical knowledge of: gesture recognition, speech recognition, information visualisation and tangible   interfaces.
    - Understand and know how to apply the various methods to evaluate multimodal interfaces.

    Comments

    MSc-CS BENEFRI - (Code Ue: 03035 Track: T0, Code Ue: 33035 Track: T3) The exact date and time of this course as well as the complete course list can be found at http://mcs.unibnf.ch/.

    Course and exam registration on ACADEMIA (not myunifr.ch). Please follow the instructions on https://mcs.unibnf.ch/organization/

    Softskills No
    Off field No
    BeNeFri Yes
    Mobility Yes
    UniPop No
  • Dates and rooms
    Date Hour Type of lesson Place
    20.02.2026 10:15 - 13:00 Cours PER 21, Room D230
    27.02.2026 10:15 - 13:00 Cours PER 21, Room D230
    06.03.2026 10:15 - 13:00 Cours PER 21, Room D230
    13.03.2026 10:15 - 13:00 Cours PER 21, Room D230
    20.03.2026 10:15 - 13:00 Cours PER 21, Room D230
    27.03.2026 10:15 - 13:00 Cours PER 21, Room D230
    17.04.2026 10:15 - 13:00 Cours PER 21, Room D230
    24.04.2026 10:15 - 13:00 Cours PER 21, Room D230
    01.05.2026 10:15 - 13:00 Cours PER 21, Room D230
    08.05.2026 10:15 - 13:00 Cours PER 21, Room D230
    22.05.2026 10:15 - 13:00 Cours PER 21, Room D230
    29.05.2026 10:15 - 13:00 Cours PER 21, Room D230
  • Assessments methods

    Written exam

    Assessments methods By rating
  • Assignment
    Valid for the following curricula:
    Additional Courses in Sciences
    Version: ens_compl_sciences
    Paquet indépendant des branches > Specialized courses in Computer Science (Master level)

    Additional programme requirements for PhD studies [PRE-DOC]
    Version: 2020_1/v_01
    Additional programme requirements for PhD studies (Faculty of Science and Medicine) > Specialized courses in Computer Science (Master level)

    Computer Science [POST-DOC]
    Version: 2015_1/V_01
    Continuing education > Specialized courses in Computer Science (Master level)

    MSc in Computer science (BeNeFri)
    Version: 2023_1/V_01
    MSc in Computer science (BeNeFri), lectures, seminars and Master thesis > T6: Data Science
    MSc in Computer science (BeNeFri), lectures, seminars and Master thesis > T0: General
    MSc in Computer science (BeNeFri), lectures, seminars and Master thesis > T3 : Visual Computing

    Ma - Business Communication : Business Informatics - 90 ECTS
    Version: 2026-SA_V01
    Business Informatics > Business Informatics Courses > Module Wirtschaftsinformatik > TMD: Technologies and Modelling for Digitalization
    Business Informatics > Business Informatics Courses > Module Informatik > General
    Business Informatics > Business Informatics Courses > Module Informatik > Visual Computing

    Ma - Business Informatics - 90 ECTS
    Version: 2020-SA_V01
    Classes - min. 45 ECTS > Module IT and IT Management - min 8 ECTS > Visual Computing
    Classes - min. 45 ECTS > Module IT and IT Management - min 8 ECTS > TMD: Technologies and Modelling for Digitalization
    Classes - min. 45 ECTS > Module IT and IT Management - min 8 ECTS > General
    Classes - min. 45 ECTS > Modules IT Management - min. 22 ECTS > TMD: Technologies and Modelling for Digitalization

    MiMa - Business Informatics - 30 ECTS
    Version: 2020-SA_V01
    Courses > Modules in Computer Science > General
    Courses > Modules in Computer Science > Visual Computing
    Courses > Modules in Business Informatics > TMD: Technologies and Modelling for Digitalization

    MiMa - Data Analytics - 30 ECTS
    Version: 2020-SA_V01
    Maximum of 9 ECTS credits can be chosen from courses in module T6 (Data Science) of the MSc in Computer Science and/or modules DADS and TMD of the MSc in Business Informatics. > TMD: Technologies and Modelling for Digitalization