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Data-Flow programming for Smart Homes and other Smart Spaces

 
: Altendeitering, Marcel; Schimmler, Sonja

:

Homer, Michael (Ed.) ; Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2020. Proceedings : August 10-14, 2020, Dunedin, New Zealand, held online due to the COVID-19 pandemic
Piscataway, NJ: IEEE, 2020
ISBN: 978-1-7281-6901-9
ISBN: 978-1-7281-6902-6
4 S.
Symposium on Visual Languages and Human-Centric Computing (VL/HCC) <2020, Online>
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
16DII111
Englisch
Konferenzbeitrag
Fraunhofer FOKUS ()
Fraunhofer ISST ()
visual programming languages; data-flow programming; Smart Homes; smart spaces; Smart Services

Abstract
Visual programming languages are a common way for enabling end users to create simple, customized programs in their smart homes. Although visual programming aims at lowering the syntactic and cognitive barriers existing languages lack a simple method for accessing services of smart spaces surrounding the home and therefore restrain the innovative capabilities of users. For example, accessing information about energy consumption or smart parking is often cumbersome and limited to users with advanced technical skills. Based on expert interviews, we extended the existing visual programming language Node-RED with functionalities that enable users to easily access data and services within and beyond their smart homes. Using this prototype, we performed a first evaluation of our solution with some inhabitants of smart homes.

: http://publica.fraunhofer.de/dokumente/N-599590.html