2 research outputs found
Around-Body Interaction: Leveraging Limb Movements for Interacting in a Digitally Augmented Physical World
Recent technological advances have made head-mounted displays (HMDs) smaller
and untethered, fostering the vision of ubiquitous interaction with information
in a digitally augmented physical world. For interacting with such devices,
three main types of input - besides not very intuitive finger gestures - have
emerged so far: 1) Touch input on the frame of the devices or 2) on accessories
(controller) as well as 3) voice input. While these techniques have both
advantages and disadvantages depending on the current situation of the user,
they largely ignore the skills and dexterity that we show when interacting with
the real world: Throughout our lives, we have trained extensively to use our
limbs to interact with and manipulate the physical world around us.
This thesis explores how the skills and dexterity of our upper and lower
limbs, acquired and trained in interacting with the real world, can be
transferred to the interaction with HMDs. Thus, this thesis develops the vision
of around-body interaction, in which we use the space around our body, defined
by the reach of our limbs, for fast, accurate, and enjoyable interaction with
such devices. This work contributes four interaction techniques, two for the
upper limbs and two for the lower limbs: The first contribution shows how the
proximity between our head and hand can be used to interact with HMDs. The
second contribution extends the interaction with the upper limbs to multiple
users and illustrates how the registration of augmented information in the real
world can support cooperative use cases. The third contribution shifts the
focus to the lower limbs and discusses how foot taps can be leveraged as an
input modality for HMDs. The fourth contribution presents how lateral shifts of
the walking path can be exploited for mobile and hands-free interaction with
HMDs while walking.Comment: thesi
Towards Ambient Search
In ongoing discussions participants tend to pick up their smart phones
to retrieve relevant information for clarification, severely hampering the flow of
the discussion. We introduce ambient search as a variant of information retrieval
where a system unobtrusively provides relevant information snippets in the back-
ground without the need to steer devices actively. In this demo paper, we describe
a first prototype of our ongoing research activities towards such a system