Information & Human Centred Computing group
Information and Human Centred Computing is about computer mediated human interactions with data and the world. In other words, using computers to try to understand what users want now in the tasks they are doing, and presenting users with relevant information. When we interact and co-operate with other humans, they usually understand and predict what we will do, but traditionally computers just sit there waiting to be told what to do next. Our goal is for computers to 'think ahead', and to be proactive in their interactions with humans. We will add value to diverse academic and industrial areas by partnerships rather than merely producing enabling commodity tools.
Staff & students
- Group leader: Tom Gedeon
- iHcc group
- Academic biographies
- Student biographies
Meetings
The group has a seminar series, and seminars are advertised via the College seminar list. To propose a seminar, please contact Duncan Stevenson. There are also two relevant, regular, and informal research meetings:
- The long running IR & Friends every second Monday 4-5 pm in the CSIRO Seminar room, 2nd floor
- The newly started HCC & Friends every second Tuesday 4-5 pm in the N332 meeting room, 3rd floor
- Note: the IR & Friends and HCC & Friends are in alternate weeks, all meetings in CS&IT ANU Bld 108.
Collaborations
Collaborations within DCS: Linkages with SISE and CAPLS, including in Information Retrieval which is a significant overlap area with SISE.
Collaborations within rest of CECS: Joint paper with members of RSISE/Computer Vision and NICTA presented at DICTA 2007. Potential links with Roland Goecke in face recognition (previous joint student project proposals), with Jochen Renz (in trust measures, and spatial reasoning), with Adi Botea (games), and John Lloyd (agents). Also potential links with (robot control).
Collaborations within rest of ANU: Alistair Riddell (CASS) – visiting fellow; Martyn Jolly (CASS); Andrew James (RSBS); Greg Stuart (JCSMR), Mac Boot (CASS), and the ANU Research Office (matching of bibliographic databases).
Other Collaborations: Raju Karia, Jay Larson, Andrew Coward, László Kóczy, Kevin Wong, Richard Jones, Bruce Shadbolt, Shirley Gregor, Graham Williams (Australian Taxation Office), Ross Gayler (Veda Advantage).
Grants
- ARC Discovery: 2011-2013, awarded $240,000 from the ARC, “Extending Fuzzy Logic,” T.D. Gedeon, R. Goecke, B.S.U. Mendis
- AutoCRC: 2008-2010, awarded $99,000 from the AutoCRC, “Leveraging Operator Observation to Improve Safety,” T.D. Gedeon
- ARC Linkage: 2006-2009, with The Distillery, awarded $171,000 from the ARC, “Handling unreliable, uncertain and inadequate data for Intelligence led Investigation,” T.D. Gedeon, R.L. Jones (The Distillery)
- MEC: 2005, awarded $80,000 from the ANU, “A Mind-Attention Interface for Virtual Environments,” H. Gardner, T.D. Gedeon, L.A. Coward, P. Christen, A. James, A. Riddell
- ARC Linkage: 2005-2007, with the Canberra Hospital, awarded $72,000 from the ARC, “A novel cooperative global information system for healthcare,” T.D. Gedeon, S. Gregor (CBE, ANU), B. Shadbolt (Canberra Hospital)
- ARC Discovery: 2003-2006, Awarded $263,036 by the ARC, “Effective Fuzzy Systems for Complex Structured Data Using Fuzzy Signatures, T.D. Gedeon, L.T. Kóczy (Technical University of Budapest) and K.W. Wong (Murdoch Uni)
Major facilities
The Mind Attention Interface is a novel interface for a Virtual Reality (VR) theatre using a combination of electroencephalogram (EEG) biofeedback and eye-gaze tracking. This interface will support research projects in Human Computer Interaction (HCI), Neural Networks, Data Mining, Machine Recognition, Visual Sciences and New Media Arts.
The Wedge: The Wedge virtual reality facility has supported numerous, challenging student projects and has been of enormous outreach value to the Faculty: several hundreds of members of the public have viewed this facility on Open Days and other occasions.
Secure data mining compute server with two Quad-core CPUs and 8 GBytes of memory. This server has been made specifically secure - limited and monitored access - in order to be able to hold confidential real world data.
News: Tom Gedeon was awarded the Dean's award for Excellence in Teaching in 2010 and hence nominated for the VC's award. Dingyun Zhu won the best paper at the ICTC conference 2009. Zhen Yang awarded the degree of Masters of Philosophy in March 2008. Both Tom Gedeon and Henry Gardner were nominated for ANU Vice-Chancellor's Excellence in Teaching (Supervision) awards for 2008. One paper from the HCC group won the best Human Computer Interface paper award at the Digitial Image Computing: Techniques and Applications conference, DICTA 2007, in Adelaide, SA, December 2007.
Project descriptions
- Virtual Reality and Human/Brain Computer Interaction (HCI/BCI)
DCS Academics: Tom Gedeon and Henry Gardner
PhD Students: James Sheridan, Ben Swift, Torben Schou, Jayeyong Chung, Yang Zhen (Mphil)
Collaborators: Alistair Riddell (Arts), Andrew James (Visual Sciences, RSBS), Michael Martin and Stephen Roberts (Statistics, CBE), Andrew Coward
We study the nature of human computer interaction in advanced virtual reality interfaces which make the use of EEG signals from the brain of participants as interactive input and which also use these signals to diagnose and measure the brain states of participants. - Construction of Intelligent and Responsive Systems
DCS Academics: Tom Gedeon, Clem Baker-Finch, Henry Gardner
PhD Students: Sumudu Mendis, Sukanya Manna, Amir Hadad, Ruiduan Wang, Darren Boulton, Qifeng Bai, Dingyun Zhu
Collaborators: Bruce Shadbolt (Canberra Hospital), Richard Jones (The Distillery), Masoud Mohammadian (UC), Hussein Abbass (ADFA), László Kóczy (Tech. Univ. Budapest), Kevin Wong (Murdoch)
We aim to extract useful information from data, and present it to human beings in a hierarchical fashion which is easy to understand and to act upon. - Computers and Art
DCS Academics: Tom Gedeon, Clem Baker-Finch, Henry Gardner
PhD Students: James Sheridan, Ben Swift, Torben Schou
Collaborators: Alistair Riddell, Martyn Jolly, Paul Kirwan (Arts)
This group of projects extends the two previous groups to produce novel works of art and to study the way in which an audience perceives and interacts with these works of art. - eScience Interfaces
DCS Academics: Henry Gardner
Collaborators: Jay Larson, Raju Karia
The objective of projects in this group is to produce robust architectures and frameworks for generating interfaces to scientific and engineering software and data which can be hosted over the internet. An ultimate goal is to isolate software engineering principles and patterns behind these interfaces. Many of the projects in this category are shorter graduate-level projects rather than being at PhD level. - Data Mining and Linkage/Matching
DCS Academics: Peter Christen
PhD Students: Denny
Data mining is concerned with the analysis of large databases with the aim to detect novel, interesting and potentially useful patterns, rules and correlations. Data linkage (or matching) is the process of linking and aggregating records that refer to the same entities from several databases. This is commonly required in many applications as a pre-processing step before data can be mined and analysed.- Details about our research project on
Parallel large scale techniques for high-performance data linkage.
- Details about our research project on
Parallel large scale techniques for high-performance data linkage.
Available student projects
- Learn more about Dr Peter Christen
- Research in data matching / record linkage / entity resolution
- Developing a Data Matching Markup Language (DMML)
- Evaluating and improving classification techniques for data matching
- Research network predictive analytics
- Improving Recommendation Quality Through Entity Resolution
- Institutional data matching
- Learn more about Dr Lexing Xie
- Making Sense of Visual Folksonomy: a Flickr Study
- Multimedia Event Detection from Videos
- How do people tag pictures?
- Tracking viral videos on Youtube
- Real-world Events on Flickr
- Studying Real-world Events in Social Media
- Analysis of Spatial-temporal Data in Cities
- Signal Processing Meets Visual Descriptors
