Intelligent User Interfaces: Design and Implementation

Intelligent User Interfaces
Design and Implementation The Schedule

Technical University of Kaiserslautern, Computer Science, Course: 89-7159
Fall Semester 2013-2014
Instructor: Dr. Daniel Sonntag, DFKI
Lecture time: Fr., 10-11:30, room 48-462
Recitation time: Thursdays, 12:00, DFKI Kaiserslautern, room 2.04 BAYES
Tutors: Takumi Toyama, Jason Orlosky
Credit points: 4 ECTS-CP (2C+1R)
Office hours: By appointment

Description of the Course
This course 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.

Prerequisites
Methods and models of artificial intelligence, it is good to have taken one AI class and one HCI class or another class in the master programme (Msc.) curriculum "Intelligente Systeme" but this is not required.

Grading
Grading will be based on the assignments, the recitations (required prerequisite for final examination), and the oral or written examination.

Major Topics

Design aspects of state-of-the-art intelligent user interfaces / interactive intelligent systems
Intelligent systems based on semantic technologies: knowledge engineering / modeling / capture in IUIs; user modeling
Cognitive architectures, metacognition and introspection
Learning and automatic adaptation and planning in IUIs: integrating clustering and classification, precision/recall, ROC, ANOVA
Input and output modalities and perception towards multimodal interaction, conversational agents, question answering
Emotions and affective / accessible computing
Applications and Projects, Human Computation, Collaborative Multimodality

Related Computer Science Courses (University of Kaiserslautern, Fall 2013-2014)
Introduction to Artifical Intelligence, Prof. Lukowicz
Semantic Technologies, Prof. Dengel
Natural Language Processing and Applications, Prof. Breuel
Human Computer Interaction, Prof. Ebert

Related International Artificial Intelligence & HCI Courses

Intelligent User Interfaces (Texas A&M, USA) Fall 2013
Research Topics in Human-Computer Interaction Research (Harvard, USA), Fall 2013
Semantic Web Technologies (for IUI and DB access) (MPI/UDS, Germany), Spring 2010
Common Sense Reasoning for Interative Applicatons (MIT Media Lab, USA), Fall 2013
Intelligent User Interfaces (WPI Worcester, USA) Spring 2009
Multimodal Interaction in Cyber-Physical Systems (DFKI/UDS, Germany), Fall 2013

Literature

Maybury, Wahlster: Readings in Intelligent User Interfaces, 1998
Sonntag: Ontologies and Adaptivity in Dialogue for Question Answering, 2010
Russel, Norvig: Artificial Intelligence: A Modern Approach, 3rd Edition, 2010
Fogarty, Horvitz, Kapoor, Tan: Intelligence and Interaction, Workshop Proceedings, IJCAI 2009
Jameson, Spaulding, Yorke-Smith: Usable AI, AI Magazine, Volume 30, 2009
Rogers, Sharp, Preece: Interaction Design: Beyond Human-Computer Interaction, 3rd edition, 2011
Simon, The Sciences of the Artificial, 3rd Edition, 1996
Historical Notes

Schedule
Approximate Schedule (subject to chance)

Dates	Topics	Sources	Exercise Sheets
1. (October 25)	Introduction to IUI, Design aspects	[slides1]
2. (November 1)	Reading List (public holiday), see How-to-Read-an-IUI-Research-Paper
3. (November 8)	AI aspects, Intelligent Agents, Social Interaction	[slides2] [agents] [Social Interaction]	[Exercise Sheet 1] (due to Nov 14)
4. (November 15)	Cognitive aspects (Human), Psycholinguistic aspects, Invited Lecture 1 (Dynamic augmented reality text management): Jason Orlosky, Osaka University (IUI conference, best paper award 2013)	[slides3a] [slides3b] [Cognitive Aspects]	[Exercise Sheet 2] (due to Nov 21)
5. (November 22)	Production rules, Cognitive architectures (AI based), Common Sense, Metacognition and introspection	[slides4]	[Exercise Sheet 3] (due to Nov 28)
6. (November 29)	Learning and automatic adaptation and planning in IUIs: integrating clustering and classification, precision/recall, ROC, ANOVA	[slides5] [learnerPool] [evalMeasures]	[Exercise Sheet 4] (due to Dec 5)
7. (December 6)	Knowledge engineering / modeling / capture in IUIs; RDF(S), OWL-DL, Discourse modeling, Dialogue-based question answering	[slides6]
8. (December 13)	Output modalities, semantic navigation and automated presentation design/planning; Invited Lecture 2 (Interactive user-centred layouting using linear CSP solving, Dr. Sebastian Theophil, IUI company think-cell.) Pictures	[slides7]
9. (December 20)	Recitation / Examination: Form for Critiques	Form for Critiques
10. (January 10)	Cross-model co-reference Planning, Emotions and affective / accessible computing, Input modalities and Perception, Conversational agents	[slides8] [Emotional Interaction]	[Exercise Sheet 5] (due to Jan 16)
11. (January 17)	Human Computing vs. Human Computation	[slides9]	[Exercise Sheet 6] (due to Jan 23)
12. (January 24)	Collaborative Multimodality and new Educational Interfaces, User modeling	[slides10] [chapter5 (pp92-115)]	[Exercise Sheet 7] (due to Jan 30)
13. (January 31)	Applications and Projects	[slides11]
14. (February 14)	Final oral examination Get your appointment!

Last change: 14/02/2014