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User Interfaces for Smart Things - A Generative Approach with Semantic Interaction Descriptions

Journal
ACM Transactions on Computer-Human Interaction
Type
journal article
Date Issued
2014
Author(s)
Mayer, Simon  
;
Tschofen, Andreas
;
Dey, Anind K.
;
Mattern, Friedemann
Abstract (De)
With ever more devices being connected to the Internet and everyday objects becoming "smart" due to embedded processors and communication capabilities, the provisioning of intuitive user interfaces to control smart things is quickly gaining importance. To address this issue, we present a model-based interface description scheme that enables automatic, modality-independent user interface generation. User interface description languages based on our approach carry enough information to suggest appropriate and intuitive interfaces. Still, they are simple enough to enable developers to describe the interaction semantics of a smart thing using very little, easily producible markup. This is enabled by describing the atomic interactive components of a device rather than the device as a whole, and capturing the high-level semantics of an interaction. As a concrete language based on this approach, we propose a taxonomy of abstract sensing and actuation primitives and present a smartphone application that can act as a ubiquitous device controller. An evaluation of our approach in a laboratory setup, home environments, and a lecture hall automation system as well as the results of a user study highlight the accessibility of the proposed description scheme for application developers, its suitability for controlling smart devices, and its generality with respect to describing heterogeneous smart things.
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
ACM
Volume
21
Number
2, Article 12
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/87924
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

Eprints ID
255769
File(s)
Thumbnail Image
Name

mayersi-interfaces-2014.pdf

Size

6.45 MB

Format

Adobe PDF

Checksum (MD5)

d19845dea9a31d30ff26a4c91cc53b5f

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