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Augmenting bicycles and helmets with multimodal warnings for children

Matviienko, Andrii (author)
OFFIS Inst Informat Technol, Oldenburg, Germany
Ananthanarayan, Swamy (author)
Carl von Ossietzky Univ Oldenburg, Oldenburg, Germany
Borojeni, Shadan Sadeghian (author)
OFFIS Inst Informat Technol, Oldenburg, Germany
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Feld, Yannick (author)
Carl von Ossietzky Univ Oldenburg, Oldenburg, Germany
Heuten, Wilko (author)
OFFIS Inst Informat Technol, Oldenburg, Germany
Boll, Susanne (author)
Carl von Ossietzky Univ Oldenburg, Oldenburg, Germany
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 (creator_code:org_t)
2018-09-03
2018
English.
In: MobileHCI 2018 - Beyond Mobile. - New York, NY, USA : Association for Computing Machinery (ACM).
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Child cyclists are often at greater risk for traffic accidents. This is in part due to the development of children's motor and perceptual-motor abilities. To facilitate road safety for children, we explore the use of multimodal warning signals to increase their awareness and prime action in critical situations. We developed a bicycle simulator instrumented with these signals and conducted two controlled experiments. We found that participants spent significantly more time perceiving visual than auditory or vibrotactile cues. Unimodal signals were the easiest to recognize and suitable for encoding directional cues. However, when priming stop actions, reaction time was shorter when all three modalities were used simultaneously. We discuss the implications of these outcomes with regard to design of safety systems for children and their perceptual-motor learning.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Människa-datorinteraktion (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Human Computer Interaction (hsv//eng)

Keyword

Bicycle Safety
Bicycle Simulator
Child Cyclists
Collision Avoidance
Multimodal Warnings

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Matviienko, Andr ...
Ananthanarayan, ...
Borojeni, Shadan ...
Feld, Yannick
Heuten, Wilko
Boll, Susanne
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NATURAL SCIENCES
NATURAL SCIENCES
and Computer and Inf ...
and Human Computer I ...
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Royal Institute of Technology

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