Haptics and Multisensory Integration

About This Course

The "Haptics and Multisensory Integration" course delves into the science and technology behind tactile feedback and the integration of multiple sensory channels. Students explore haptic hardware systems, such as wearable devices and tactile surfaces, along with the algorithms that simulate touch and force in virtual environments.

The course also examines the psychological foundations of sensory integration, helping students understand how humans combine sight, sound, and touch into coherent experiences. Emphasis is placed on designing multisensory user experiences for virtual reality, human-computer interaction, robotics, and teleoperation systems.

Learning Objectives

Understand the fundamental principles of haptic technology and multisensory integration.

Develop skills in designing and imple-menting haptic feedback systems and multisensory experiences, focusing on enhancing user interaction and immersion in digital environments.

Analyze and evaluate the impact of haptics and multisensory integration on user experience, identifying best practices for various applications in VR, AR, and other interactive technologies.

Gain practical experience through projects that involve the creation and testing of multisensory systems, demon-strating the ability to effectively integrate haptic feedback and other sensory modalities into interactive applications.

Study Programs

This course is mandatory for the following study programs.

M.Sc. Advanced Digital Reality

This course is offered as an elective for the following study programs.

MBA Digital Technologies

MBA Digital Transformation

M.Sc. Applied AI

M.Sc. Cybersecurity

M.Sc. Digital Leadership

Micro Degree

This course is offered as a micro degree.

German UDS Micro Degrees are compatible with the European MOOC Consortiums Common Micro Credentials Framework.

Micro Degrees will be rewarded with an equivalent of 5 ECTS.

Micro Degrees are offered to non-regular students and require a fee of €900.

General Information

Teaching Format: Experience

Total Workload Master: 125h (40h/85h) / 5 ECTS

Total Workload MBA: 100h (30h/70h) / 4 ECTS

Total Workload Micro Degree: 125h (40h/85h) / Equivalent to 5 ECTS

Module coordinator: Prof. Dr. Daniele Di Mitri

Examinations: Quizzes, presentation(s), essay(s)/paper(s), project report(s), written exam (tbd) - Details will be announced with course start.

Offered: Odd quarters

Course Staff

Prof. Dr. Daniele Di Mitri

Daniele Di Mitri is a professor of Multimodal Learning Technologies and leader of the "Augmented Feedback" research lab at the German University of Digital Science. He is an affiliate researcher at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele Di Mitri received his PhD in Learning Analytics and wearable sensor support from the Open University of The Netherlands. His current research focuses on developing AI-driven, multimodal learning technologies to enhance digital education. It aims to create innovative and responsible solutions that improve learning experiences through advanced feedback systems and ethical technology integration. He is a "Johanna Quandt Young Academy" fellow and was elected "AI Newcomer 2021" at the KI Camp by the German Informatics Society. He is a member of the editorial board of Frontiers in Artificial Intelligence journal, a member of the CrossMMLA, a special interest group of the Society of Learning Analytics Research, and chair of the special interest group of AI for Education of the European Association of Technology-Enhanced Learning.