Informing the Design of Novel Input Methods with Muscle Coactivation Clustering

• This paper presents a novel summarization of biomechanical and performance data for user interface designers. Previously, there was no simple way for designers to predict how the location, direction, velocity, precision, or amplitude of users’ movement affects performance and fatigue. We cluster muscle coactivation data from a 3D pointing task covering the whole reachable space of the arm. We identify eleven clusters of pointing movements with distinct muscular, spatio-temporal and performance properties. We discuss their use as heuristics when designing for 3D pointing.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

Muscle coactivation clustering

biomechanical simulation

physical ergonomics

user interface design

user performance

Computer Science

Datalogi

SRA - E-vetenskap (SeRC)

SRA - E-Science (SeRC)

Publikations- och innehållstyp

ref (ämneskategori)

art (ämneskategori)