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 2014-2015
Principal lecturer: Dr. Daniel Sonntag, DFKI
Lecture time: Fr., 10-11:30, Uni KL, room 48-462, Sat. from 10am (we have three full day appointments: Nov 22, Dec 13, Jan 10) DFKI Kaiserslautern, room 2.04 BAYES
Recitation Time: TBA
Tutors: Takumi Toyama (Msc.), Markus Weber (Msc.), Indra Praveen Sandrala (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 Artifical 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
Simon, The Sciences of the Artificial, 3rd Edition, 1996
Historical Notes

Schedule

Approximate Schedule (subject to chance)

Dates	Topics	Sources	Exercise Sheets
1. (October 31)	Introduction to IUI, Design aspects	[slides1]
2. (November 7)	Reading List, see How-to-Read-an-IUI-Research-Paper Introduction of the IUI software project		[Exercise Sheet 1] (due to Nov 21)
3. (November 21)	AI aspects and Social Interaction Examples of socially integrated smart objects like digital pens (digital enhancement, "Digitale Veredelung")	[Social Interaction]
4. (November 22)	Intelligent Agents, Cognitive aspects (Human), Psycholinguistic aspects Talk by Frank Stein (IBM) and Jim Spohrer (IBM) about Cognitive Computing	[slides2] [agents] [Cognitive Aspects]	[Exercise Sheet 2] (due to Dec 12)
5. (November 22)	Production rules, Cognitive architectures (AI based), Common Sense, Introspection		[Exercise Sheet 2] (due to Dec 12)
6. (December 12)	Learning and automatic adaptation and planning in IUIs: integrating clustering and classification, precision/recall, ROC, ANOVA	[learnerPool] [evalMeasures]
7. (December 13)	Knowledge engineering / modeling / capture in IUIs; RDF(S), OWL-DL, Discourse modeling, Dialogue-based question answering, Natural Language Access to Big Data (NLA2BD)	[slides3]
8. (December 13)	Output modalities, semantic navigation and automated presentation design/planning;		[Exercise Sheet 3] (due to Jan 9)
9. (January 9)	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	[slides4] [Emotional Interaction]	[Exercise Sheet 4] (due to Jan 23)
11. (January 10)	Human Computing vs. Human Computation Invited Lecture 1 (Dynamic augmented reality text management): Jason Orlosky, Osaka University (IUI conference, best paper award 2013)	[slides9]
12. (January 10)	Collaborative Multimodality and new Educational Interfaces, User modeling	[slides10] [chapter5 (pp92-115)]
13. (January 30)	Applications and Projects Software Project / Submission (contact Markus Weber)	[slides11]
14. (February)	Final examination

Last change: 31/12/2014