2018
|
Giannopoulos, Ioannis Spatial Big Data for Human-Computer Interaction (Inproceedings) In: Raubal, Martin; Wang, Shaowen; Guo, Mengyu; Jonietz, David; Kiefer, Peter (Ed.): Spatial Big Data and Machine Learning in GIScience, pp. 22–24, 2018, (Vortrag: Spatial Big Data and Machine Learning in GIScience, Melbourne, Australien; 2018-08-28). @inproceedings{giannopoulos18:22[TUW-277880],
title = {Spatial Big Data for Human-Computer Interaction},
author = {Ioannis Giannopoulos},
editor = {Martin Raubal and Shaowen Wang and Mengyu Guo and David Jonietz and Peter Kiefer},
year = {2018},
date = {2018-01-01},
booktitle = {Spatial Big Data and Machine Learning in GIScience},
pages = {22--24},
abstract = {The importance of spatial data for the area of human-computer interaction is discussed in this vision paper as well as how machine learning and spatial big data can be utilized for optimizing and adapting the interaction modalities in outdoor spaces. This paper briefly introduces and tries to connect previous work in order to highlight the vision towards a space adaptive personalized system and list important research questions.},
note = {Vortrag: Spatial Big Data and Machine Learning in GIScience, Melbourne, Australien; 2018-08-28},
keywords = {human behavior, interactive systems, urban structures},
pubstate = {published},
tppubtype = {inproceedings}
}
The importance of spatial data for the area of human-computer interaction is discussed in this vision paper as well as how machine learning and spatial big data can be utilized for optimizing and adapting the interaction modalities in outdoor spaces. This paper briefly introduces and tries to connect previous work in order to highlight the vision towards a space adaptive personalized system and list important research questions. |
