International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
Visualizing queries and querying visualizations
ACM SIGMOD Record
An introduction to genetic algorithms
An introduction to genetic algorithms
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
An adaptive Web page recommendation service
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Narcissus: visualising information
Readings in information visualization
Visualizing association rules with interactive mosaic plots
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Visualising sequences of queries: a new tool for information retrieval
IV '97 Proceedings of the IEEE Conference on Information Visualisation
A survey of evolutionary algorithms for data mining and knowledge discovery
Advances in evolutionary computing
Inventing discovery tools: combining information visualization with data mining
Information Visualization
TeraScope: distributed visual data mining of terascale data sets over photonic networks
Future Generation Computer Systems - iGrid 2002
APVis '04 Proceedings of the 2004 Australasian symposium on Information Visualisation - Volume 35
A Projection Pursuit Algorithm for Exploratory Data Analysis
IEEE Transactions on Computers
Editorial: Ambient intelligence: From interaction to insight
International Journal of Human-Computer Studies
Supporting creative product/commercial design with computer-based image retrieval
Proceedings of the 14th European conference on Cognitive ergonomics: invent! explore!
Creative Industrial Design and Computer-Based Image Retrieval: The Role of Aesthetics and Affect
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
An Approach to a Visual Semantic Query for Document Retrieval
Edutainment '08 Proceedings of the 3rd international conference on Technologies for E-Learning and Digital Entertainment
Activity-based scenarios for and approaches to ubiquitous e-Learning
Personal and Ubiquitous Computing
Workshop HCI for medicine and health care (HCI4MED)
BCS-HCI '08 Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction - Volume 2
Adaptive Visual Clustering for Mixed-Initiative Information Structuring
Proceedings of the Symposium on Human Interface 2009 on ConferenceUniversal Access in Human-Computer Interaction. Part I: Held as Part of HCI International 2009
Discovery is never by chance: designing for (un)serendipity
Proceedings of the seventh ACM conference on Creativity and cognition
International Journal of Human-Computer Studies
The process of serendipity in knowledge work
Proceedings of the third symposium on Information interaction in context
ICMI'06/IJCAI'07 Proceedings of the ICMI 2006 and IJCAI 2007 international conference on Artifical intelligence for human computing
Exploring serendipity's precipitating conditions
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part IV
Effective browsing and serendipitous discovery with an experience-infused browser
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Identifying archetypal perspectives in news articles
BCS-HCI '12 Proceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers
Designing a semantic sketchbook to create opportunities for serendipity
BCS-HCI '12 Proceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers
PATHS --- exploring digital cultural heritage spaces
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
Facilitating natural flow of information among "taste-based" groups
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Hi-index | 0.00 |
Serendipity is the making of fortunate discoveries by accident, and is one of the cornerstones of scientific progress. In today's world of digital data and media, there is now a vast quantity of material that we could potentially encounter, and so there is an increased opportunity of being able to discover interesting things. However, the availability of material does not imply that we will be able to actually find it; the sheer quantity of data mitigates against us being able to discover the interesting nuggets. This paper explores approaches we have taken to support users in their search for interesting and relevant information. The primary concept is the principle that it is more useful to augment user skills in information foraging than it is to try and replace them. We have taken a variety of artificial intelligence, statistical, and visualisation techniques, and combined them with careful design approaches to provide supportive systems that monitor user actions, garner additional information from their surrounding environment and use this enhanced understanding to offer supplemental information that aids the user in their interaction with the system. We present two different systems that have been designed and developed according to these principles. The first system is a data mining system that allows interactive exploration of the data, allowing the user to pose different questions and understand information at different levels of detail. The second supports information foraging of a different sort, aiming to augment users browsing habits in order to help them surf the internet more effectively. Both use ambient intelligence techniques to provide a richer context for the interaction and to help guide it in more effective ways: both have the user as the focal point of the interaction, in control of an iterative exploratory process, working in indirect collaboration with the artificial intelligence components. Each of these systems contains some important concepts of their own: the data mining system has a symbolic genetic algorithm which can be tuned in novel ways to aid knowledge discovery, and which reports results in a user-comprehensible format. The visualisation system supports high-dimensional data, dynamically organised in a three-dimensional space and grouped by similarity. The notions of similarity are further discussed in the internet browsing system, in which an approach to measuring similarity between web pages and a user's interests is presented. We present details of both systems and evaluate their effectiveness.