Daniel Sonntag, DFKI Technical Report as PDF (DFKI, 2015)
Schedule:
October 3rd, 2015: 10am - 2pm (4 hours)
| 10:00 - 11:00 | Design aspects of
state-of-the-art intelligent user interfaces / interactive
intelligent systems / challenges |
| 11:00 - 12:00 | Semantic technologies: knowledge engineering / modeling / capture in IUIs; user modeling |
| 12:00 - 12:30 | COFFEE BREAK (including Student Team Work on IUI challenge) |
| 12:30 - 13:00 | Result Presentation and Discussion |
| 13:00 - 14:00 | Applications and Projects
relevant for ISMAR community in particular |
Handouts
and Multimedia Material will be provided.
Topic:
IUI - Intelligent User Interfaces: will introduce you to the
design and implementation of Intelligent User Interfaces (IUIs). IUIs aim
to incorporate intelligent automated capabilities in human computer
interaction, where the net impact is a human-computer interaction that
improves performance or usability in critical ways. It also involves
designing and implementing an artificial intelligence (AI) component that
effectively leverages human skills and capabilities, so that human
performance with an application excels. IUIs embody capabilities that have
traditionally been associated more strongly with humans than with
computers: how to perceive, interpret, learn, use language, reason, plan,
and decide.
Motivation:
Augmented and mixed reality are part of the input/output side of an
intelligent user interface. There is a strong relationship between the
intelligence in a system and the user interaction: first, intelligent
processing is found in the user interface(s) of the system, and its
purpose is to enable an effective, natural, or otherwise appropriate
interaction of users with the system. For example, the system may support
human-like communication methods such as speech or gesture; or it may
adapt its style of interaction to individual users. Second, intelligent
processing is found in the “backend” of the system, and its primary
purpose is to serve some beneficial function such as performing actions
partly autonomously on behalf of the users. In IUI, the relevance of the
system’s intelligence to interaction with users is in the fore.
In order to improve Augmented and Virtual Reality Applications, a
deeper knowledge about the relationships between the aforementioned
concepts/views (i.e., the intelligence in a system and the user
interaction) would be highly beneficial. Mostly this demand refers
to a deeper knowledge about the following major topics.
Outline:
Target Audience: