Intelligent User Interfaces: Design and Implementation

Intelligent User Interfaces
Design and Implementation The Schedule
Principal lecturer: Dr. Daniel Sonntag, DFKI

Doodle poll closed. We have almost 100 participants! Contact Praveen Tirupattur.

Nachklausur (Retake): September 13, 2016, Room 46-110, 08:30-11:00

Technical University of Kaiserslautern, Computer Science, Course: 89-7159 INF-71-59-V-6
Fall Semester 2015-2016
Lecture time: Fr., 10-11:30, Uni KL (also used for recitations)
We have three full day appointments: Nov 21 (46-110)
Dec 12, Jan 9 (and Jan 23)), 10-13:30, lecture hall (42-110)
Recitation Time: Fridays, 10:00, 13-370
Tutors: Markus Weber (Msc.), Michael Barz (Msc.), Andreas Luxenburger (Msc.), Praveen Tirupattur (Msc.)
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 "intelligent systems" but this is not required.

Grading

Grading will be based on

the assignments (including a software project),
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)

Introduction to Artificial Intelligence (Lukowicz)
Semantic Technologies (Dengel)
Human Computer Interaction (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
Common Sense Reasoning for Interative Applicatons (MIT Media Lab, USA), Fall 2013
Intelligent User Interfaces (WPI Worcester, USA) Spring 2009

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
Oviatt, Cohen: The Paradigm Shift to Multimodality in Contemporary Computer Interfaces, 2015
Simon, The Sciences of the Artificial, 3rd Edition, 1996
Howard J. Seltman, Experimental Design and Analysis, 2015
Historical Notes

Schedule

Approximate Schedule (subject to chance)

Dates	Topics	Sources	Exercise Sheets
1. (October 30)	Introduction to IUI, Design aspects	[slides1]
2. (November 6)	Reading List, see How-to-Read-an-IUI-Research-Paper Introduction of the IUI software project		[Exercise Sheet 1] (due to Nov 20)
3. (November 21)	AI aspects and Social Interaction Examples of socially integrated smart objects like digital pens (digital enhancement, "Digitale Veredelung") and the Internet of Thinks (IoT)	[Social Interaction]
4. (November 21)	Intelligent Agents, Cognitive aspects (Human), Psycholinguistic aspects	[slides2] [CBR] [agents] [Cognitive Aspects]
5. (November 21)	Production rules, Case-based reasoning, Cognitive architectures (AI based), Common Sense		[Exercise Sheet 2] (due to Dec 11)
6. (December 12)	Learning and automatic adaptation and planning in IUIs: integrating clustering and classification, precision/recall, ROC, ANOVA	[learnerPool] [evalMeasures]
7. (December 12)	Knowledge engineering / modeling / capture in IUIs; RDF(S), OWL-DL, Discourse modeling and introspection, Dialogue-based question answering, Natural Language Access to Big Data (NLA2BD)	[slides3]
8. (December 12)	Input/Output modalities, semantic navigation and automated presentation design/planning; Theoretical Foundations of Multimodal Interfaces	[eyeTracking]	[Exercise Sheet 3] (due to Jan 8)
9. (January 8)	Recitation / Examination: Form for Critiques	Form for Critiques
10. (January 9)	Cross-modal co-reference, Emotions and affective / accessible computing, Conversational agents	[slides4] [Emotional Interaction]	[Exercise Sheet 4] (due to Jan 28)
11. (January 9)	Human Computing (Physiological Computing) vs. Human Computation
12. (January 9)	Collaborative Multimodality and new Educational Interfaces, User modeling	[educational (pp92-115)]
13. (February 1)	Applications and Projects Software Project / Submission (contact Markus Weber or Michael Barz)
14. (February 13/19)	Final examination
15. (September 13)	Nachklausur (Retake) Room: 46-110, 08:30-11:00

Last change: 11/08/2016