610006 Kognitive Systeme: User Experience Engineering and Assistive Systems (S) (SoSe 2018)

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Language:

English or German (depending on participants)

Overall goals:

Imagine you want to bake a cake but you cannot remember the recipe, you do not know how to use a high-tech kitchen stove to prepare a delicious meal, you cannot remember an English vocabulary in a conversation, or how to repair a bicycle. In such everyday situations it may be helpful to receive unobtrusive and intuitive support from an adaptive technical system that operates along in a largely unnoticed and restriction-free manner. These systems are of particular importance for elderly and handicapped people.

Recently, different stationary and mobile assistive systems, such as Smart Glasses (i.e., Google Glass, Microsoft HoloLens), Head-Mounted Displays, Virtual Reality devices (e.g., Oculus Rift, Samsung Gear VR, HTC Vive) or mobile eye and motion tracking systems have been developed. These systems can provide new possibilities for recording, analyzing, and optimizing people's performances and therefore to provide individualized support, coaching or assistance in various application fields, such as sports, training environments, human-machine interaction, speech and action assistance. The development and application of these systems require not only technical knowledge but also knowledge about the needs and preferences of the end users. Therefore, user experience studies are of particular importance.

The course will introduce and point out recent developments and existing opportunities for modern stationary and mobile coaching/assistive technologies as well as a few examples of the many possible applications. The participants will also learn about the most important usability/user experience techniques (such as questionnaires, interview techniques and eye tracking studies). Therefore, the participants will not only get an overall overview about different assistive systems and how they can be applied to support particular user groups (such as experts, novices, elderly or handicapped), but also how they can be adapted to particular user needs. To this end, semi-automatized methods from cognitive science for analyzing task-related human memory structures are presented. The learned evaluation techniques can also be applied to other products and systems, such as websites, flyers or product design.

At the end of the seminar the participants will put into practice what they learned by conducting small experiments in groups of 2-3 people, as well as to write a short report to explain their results and interpretations. These studies can be user experience tests or other experimental studies (e.g. a new training/coaching approach, a speech or action assistant approach) with different technical assistive systems or, when technical knowledge is available, development of a small component and its evaluation with users. Different device platforms are available for the studies, such as the Microsoft HoloLens and the Epson Moverio BT-200 AR glasses. Support for the study design will be provided in the course.

Requirements for participation, required level

- Interest in assistive technology
- General technical interest
- Willingness to design, realize and analyze small empirical user studies
- Programming skills and/or modelling knowledge is recommended when a new software module shall be implemented and tested

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Subject assignments

Module Course Requirements  
61-IuB-NKB Neurokognition und Bewegung Kognitive Systeme Study requirement
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Active participation: Talk
Individual Work: Talk + small user experience study or implementation/testing of a software module (incl. report)

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Registered number: 25
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Limitation of the number of participants:
Limited number of participants: 30
Address:
SS2018_610006@ekvv.uni-bielefeld.de
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Last update basic details/teaching staff:
Monday, October 22, 2018 
Last update times:
Friday, March 16, 2018 
Last update rooms:
Friday, March 16, 2018 
Type(s) / SWS (hours per week per semester)
S / 2
Department
Faculty of Psychology and Sports Science / Department of Sport Science
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117553615