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What and Who
Title:Biomechanical Models for Human-Computer Interaction
Speaker:Myroslav Bachynskyi
coming from:Cluster of Excellence - Multimodal Computing and Interaction - MMCI
Speakers Bio:
Event Type:Promotionskolloquium
Visibility:D1, D2, D3, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Date, Time and Location
Date:Friday, 4 November 2016
Duration:60 Minutes
Building:E1 4
Post-desktop user interfaces, such as smartphones, tablets, interactive tabletops, public displays and mid-air
interfaces, already are a ubiquitous part of everyday human life, or have the potential to be. One of the key
features of these interfaces is the reduced number or even absence of input movement constraints imposed
by a device form-factor. This freedom is advantageous for users, allowing them to interact with computers
using more natural limb movements; however, it is a source of 4 issues for research and design of post-desktop
interfaces which make traditional analysis methods inefficient: the new movement space is orders of magnitude
larger than the one analyzed for traditional desktops; the existing knowledge on post-desktop input methods is
sparse and sporadic; the movement space is non-uniform with respect to performance; and traditional methods
are ineffective or inefficient in tackling physical ergonomics pitfalls in post-desktop interfaces. These issues lead
to the research problem of efficient assessment, analysis and design methods for high-throughput ergonomic
post-desktop interfaces.

To solve this research problem and support researchers and designers, this thesis proposes efficient experiment-
and model-based assessment methods for post-desktop user interfaces. We achieve this through the following
- adopt optical motion capture and biomechanical simulation for HCI experiments as a versatile source of both
performance and ergonomics data describing an input method;
- identify applicability limits of the method for a range of HCI tasks;
- validate the method outputs against ground truth recordings in typical HCI setting;
- demonstrate the added value of the method in analysis of performance and ergonomics of touchscreen devices; and
- summarize performance and ergonomics of a movement space through a clustering of physiological data.

Name(s):Ellen Fries
EMail:--email address not disclosed on the web
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Created by:Ellen Fries/MPI-INF, 10/28/2016 10:00 AMLast modified by:halma/MPII/DE, 07/25/2017 11:07 AM
  • Ellen Fries, 10/28/2016 10:07 AM -- Created document.