This essay is a personal reflection from an Artificial Intelligence (AI) perspective on the term HCI. Especially for the transfer of AI-based HCI into industrial environments, we survey existing approaches and examine how AI helps to solve fundamental problems of HCI technology. The user and the system must have a collaborative goal. The concept of collaborative multimodality could serve as the missing link between traditional HCI and intuitive human-centred designs in the form of, e.g., natural language interfaces or intelligent environments. Examples are provided in the medical imaging domain.
%0 Journal Article
%1 Sonntag12ki
%A Sonntag, Daniel
%D 2012
%J KI -- Künstliche Intelligenz
%K v1205 springer paper dfki ai user interface multimodal interaction zzz.mmi
%N 2
%P 161--168
%R 10.1007/s13218-012-0169-4
%T Collaborative Multimodality
%V 26
%X This essay is a personal reflection from an Artificial Intelligence (AI) perspective on the term HCI. Especially for the transfer of AI-based HCI into industrial environments, we survey existing approaches and examine how AI helps to solve fundamental problems of HCI technology. The user and the system must have a collaborative goal. The concept of collaborative multimodality could serve as the missing link between traditional HCI and intuitive human-centred designs in the form of, e.g., natural language interfaces or intelligent environments. Examples are provided in the medical imaging domain.
@article{Sonntag12ki,
abstract = {This essay is a personal reflection from an Artificial Intelligence (AI) perspective on the term HCI. Especially for the transfer of AI-based HCI into industrial environments, we survey existing approaches and examine how {AI} helps to solve fundamental problems of {HCI} technology. The user and the system must have a collaborative goal. The concept of collaborative multimodality could serve as the missing link between traditional HCI and intuitive human-centred designs in the form of, e.g., natural language interfaces or intelligent environments. Examples are provided in the medical imaging domain.},
added-at = {2012-06-11T09:45:45.000+0200},
author = {Sonntag, Daniel},
biburl = {https://www.bibsonomy.org/bibtex/26deb9b145313037bb3ddfb30c84751d3/flint63},
doi = {10.1007/s13218-012-0169-4},
file = {SpringerLink:2012/Sonntag12ki.pdf:PDF},
groups = {public},
interhash = {816842ed943281e6e11588d56fd4d315},
intrahash = {6deb9b145313037bb3ddfb30c84751d3},
issn = {0933-1875},
journal = {KI -- K\"{u}nstliche Intelligenz},
keywords = {v1205 springer paper dfki ai user interface multimodal interaction zzz.mmi},
number = 2,
pages = {161--168},
timestamp = {2018-04-16T12:01:51.000+0200},
title = {Collaborative Multimodality},
username = {flint63},
volume = 26,
year = 2012
}