Research

Human Factors and Interface Design

Title: Human Factors and Interface Design
Researchers: Gregory Delajoux and Pearl Pu
Keywords: human factors, interface design
Date: 2005
Sponsor: EPFL

Semantic Fisheye View

Title: Semantic Fisheye View
Dates: 2000 – 2004
Researchers: Paul Janecek and Pearl Pu
Keywords: focus + context, information visualization
Abstract: This research project is developing a context-aware multimedia information workspace based on Semantic Fisheye Views (SFEVs) to search through, browse, organize, and synthesize large personal collections of multimedia documents. This work focuses especially on annotated images, although the results are generalizable to other multimedia document types that are managed by their metadata. 
Sponsor: Swiss National Science Foundation
Links: Home page

Social Navigation

Title: Semantic Fisheye View
Dates: 2002 – 2003
Researchers: Punit Gupta and  Pearl Pu
Keywords: Social Navigation
Abstract: This project is on social navigation system, which involves investigation of the visual metaphors for social navigation in the digital space of scientific literature.In our case, social information is in the form of number of citations to a paper, year of publication, number of downloads, reputation of the research lab and the authors. Our project aims at using different information visualisation techniques to visually model social information and assist users to locate the resourses easily. We are looking for visual metaphors to render the social information about the papers which will help the users in interacting with the system in a better manner.
Sponsor: Swiss National Science Foundation
Links: Image gallery

Multimedia information retrieval

Title: An Information Processing Model and Interaction Principles for Decision Tradeoff
Dates: 1998 – 2003
Researchers: Zoran Pecenovic and Pearl Pu
Keywords: content-based image retrieval, active query, similarity analysis
Abstract: Dynamic Overview Techniques for Image Retrieval
Sponsor: Swiss National Science Foundation
Links: Home Page;  Image gallery

Scalable Intelligent Electronic Catalogs

Title: Scalable Intelligent Electronic Catalogs
Dates: 1998 – 2001
Researchers: Adriana Maria Jurca and Pearl Pu
Keywords: e-commerce, h/m interaction, visualization, artificial intelligence, planning systems
Abstract: In traditional commerce, merchants compete not only on price, but also on the services offerred to their customers. Good salespeople understand their customer’s needs and preferences, and are skilled at matching them to the products. In electronic commerce, such functions have to be carried out by the interaction model underlying the store front. Providing such an interaction model with catalog intelligence can provide more rich user experience, for example by offering: * personalized search functionalities for finding products according to complex criteria; * matching techniques that help the customer formulate his wishes by comparing them with those of others; * and configuration functions that compose products out of several parts, and filtering and visualizing tools to help users making purchase decisions.
Sponsor: Swiss National Science Foundation
Links: Home page Image gallery

Visualization and conceptualization for resource allocation

Title: Visualization and conceptualization for resource allocation
Dates: 1995 – 2000
Researchers: George Melissargos and Pearl Pu
Keywords: information visualization, human-computer interaction, constraint-based search
Abstract: This project was a collaboration of our group and the AI Lab at the Computer Science Department. The main target was to build an aircraft-to-flights allocation system for Swissair, Switzerland’s air carrier.
Sponsor: Swiss National Science Foundation
Links: Home page Image gallery

MicroCE: Computer aided design using Concurrent Engineering

Title: MicroCE: Computer aided design using Concurrent Engineering
Dates: 1997 – 2000
Researchers: Omar Tazi and Pearl Pu
Keywords: Human Computer Interaction, Constraint-Based Search, Concurrent Engineering, Java
Abstract: Computer aided design using Concurrent Engineering.
Sponsor: Swiss Institute of Technology, Lausanne
Links: Home page

COMIND: Computer Aided Creativity and Multicriteria Optimization in Design

Title: COMIND: Computer Aided Creativity and Multicriteria Optimization in Design
Dates: 1995 – 1999
Researchers: Denis Lalanne and Pearl Pu
Keywords: creative design, human-computer collaboration, visualization, multicriteria tradeoff, Intelligence Artificielle
Abstract: COMIND helps designers search for consistent and optimal configurations of design parameters. This is built as a generic search and decision tool for any types of configuration tasks. Two fundamental processes are studied in this project: over-constrained problem where some preference and criteria must be taken out or relaxed in order for search to generate any solutions; and under-constrained problem where there are too many solutions thus additional criteria must be elicited from users to perform tradeoff analysis. After we introduced some algorithms to resolve conflicts and perform tradeoff analysis, we found that users are still not very motivated to make decisions about preferences and criteria. We then investigated visualization techniques to further enhance the decision context for users to more optimally determine the right criteria to relax, or to choose the solution using human criteria.
Sponsor: Swiss National Science Foundation
Links: Home page Image gallery

interactive FishEye-View Interface

groupFun-homepage

We developed an interactive products recommender system based on a force-directed layout and fish-eye view. This system provides a search tool and a critiquing interface to query items intuitively. The link below gives you access to the desktop demo but there is also a mobile version of this recommender system. 

Group Fun

groupFun-homepage We have developed a music group recommender system named GroupFun, which is a Facebook application that recommends music for groups of users for events, such as a graduation party.
The functions of GroupFun mainly include: 1) group management, 2) music recommendation.
Users are able to create a group, invite their friends to group, and join other groups. We are evaluating recommendation algorithms and user interfaces on this application.