Our vision|Business Users|Business Data|Data Exploration|Visualizations|User Modelling|Machine Learning|Adaptive Visualizations

IDEALVis: Intelligent Data Exploration and Adaptive MeaningfuL Visualizations

The goal of the IDEALVis project is to enable human-centered adaptive data visualizations that will facilitate more efficient and effective data exploration and analysis of complex and multivariate business datasets, in order to enable more effective decision making on critical business tasks.

The project is partially funded by the European Regional Development Fund (ERDF), Republic of Cyprus, Structural Funds of the European Union in Cyprus and the Cyprus Research and Innovation Promotion Foundation.

European Regional Development Fund (ERDF) logo  Republic of Cyprus logo  Structural Funds of the European Union in Cyprus logo  Cyprus Research and Innovation Promotion Foundation logo

IDEALVis objectives

Go beyond the state of the art in adaptive data visualization and personalization techniques

The combined project outcomes will generate new knowledge with regards to the consideration of individual differences in information processing as the core ingredient of the adaptation and personalization process of the related methods, tools and services.

Identify potential correlations of cognitive factors with data visualizations

Through a number of ecological valid experimental user studies that will be carried out iteratively throughout the life-cycle of the project, the research team will explore potential correlations of cognitive factors referring to high-level information processes as well as elementary cognitive processes with different kinds of data visualizations, in terms of type and complexity (e.g., network diagrams, area and radar graphs, bar and line charts).

Create a set of practical design guidelines

The project will create a set of innovative practical design guidelines suggesting how visual analytics can be enriched with personalization techniques and adaptive interventions and produce alternative interactive data visual designs that consider user’s individual differences as the core filtering parameters.

Develop a novel multi-dimensional human-centered user model

The project will define and develop a comprehensive model that quantifies cognitive factors related to information processing, decision making, problem solving and learning, domain expertise, and experience. The proposed user model will be created using psychometric tools embedded to the framework and real time tests and will be further validated with external devices such as the use of an eye-tracking system.

Quantify the User Experience and understand patterns in the interaction process

The objective is to quantify the user experience, analyze it using machine learning techniques and identify effective practices in exploratory data analysis. This in turn will produce a well- informed approach to exploratory data analysis. To inform the guidance process to the desired knowledge, the project will capture navigation patterns, resulting in an assessment and recommendation on the efficiency of the process, such as time for completion, suggested routes and experiences of users that share the same role, characteristics or expertise.

Evaluate the IDEALVis platform with real end-users

One of the main objectives of the project is to design, organize, and conduct one pilot trial, in order to evaluate and assess the platform’s usability and robustness in a real-life business setting using real datasets from at least two business domains provided by the end-user organizations (e.g., retail audit). This includes information on multiple dimensions, such as product, brand, distributor manufacturer and multiple metrics such as sales, sales volume, sales trends, stock levels, promotion efforts, and other associated aspects. The pilot trial will validate the efficiency and effectiveness of the proposed adaptive interventions and rules and will also improve the robustness of the proposed platform.

develop an intelligent data analytics component that enhances the efficiency and effectiveness of the data exploration process

The project will explore techniques that allow users to reflect on their data exploration experiences and improve their practices, utilize existing knowledge and identify effective practices in the organization.

Design a set of novel personalization rules and adaptive interventions for data visualizations

The analysis of the impact of cognitive factors, domain expertise, and experience on understanding visualizations will yield a set of rules that recommend the best-fit data visualizations to the end-users by altering their structure and semantics (e.g., altering the type, complexity, proximity of graph entities, order of elements, density of colors, salience, proportion shifts, etc.).

Design and develop an open and flexible user-centered adaptive data visualizations framework

The project will design, develop and evaluate the IDEALVis framework that will dynamically adjust the content and interaction style of data visualizations based on users’ individual differences, the data characteristics (e.g., criticality, real-time, historical) and the task at hand (e.g., priority, time constraints).

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Partners

InSPIRE

Host Organization

KPMG

Partner

RAI Consultants

Partner

People



 

Graphical excellence is that which gives to the viewer the greatest number of ideas in the shortest time with the least ink in the smallest space

Edward R. Tufte

The greatest value of a picture is when it forces us to notice what we never expected to see

John Tukey

Visualization gives you answers to questions you didn’t know you had

Ben Schneiderman

Data is the new oil? No, data is the new soil

David McCandless

Learn data, and you can tell stories that more people don’t even know about yet but are eager to hear

Nathan Yau

News

Kickoff Meeting
IDEALVis kicks off!

The IDEALVis kickoff meeting took place on 02/09/2019 at KPMG Cyprus.

We are hiring
We are hiring!

We are seeking an outstanding and highly motivated PhD candidate to join the InSPIRE team for the IDEALVis project.

More details here
christos
Welcoming Christos in the Team

Christos Amyrotos, a UClan Cyprus graduate with a degree in BSc Computing joined our team as a PhD candidate on the 01/10/2019.

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Testing the IDEALVis Platform Version 1.0

On the 29/01/2020 the team did a final testing of the platform to ensure stability for the upcoming user study.

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User Study at RAI

The first phase of the user study took place at the premises of RAI Consultants on the 05/02/2020.

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User Study at KPMG

The second phase of the user study took place at the premises of KPMG Cyprus on the 10/02/2020.

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Progress Meeting

On the 19/11/2020 the team delivered a presentation to the consortium, regarding all findings extracted from the data collected during user study one.

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User Study Two

During the first 2 weeks of December 2020 the second user study was held online. All participants from RAI Consultants and KPMG Cyprus undertook 4 experiments performing a total of 162 data visualization tasks each.

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Pilot Study Training

The IDEALVis pilot study (User Study 3) training meeting took place on 12/01/2022 online via Teams. A big thank you to all participants and collaborators.

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IDEALVis Pilot Study

The IDEALVis pilot study was successfully conducted online between 17/01/2022 - 07/02/2022.

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IDEALVis Workshop

Join us in this online Workshop where we will demonstrate the most important outcomes and findings of the IDEALVis research project.

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Project Deliverables

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IDEALVis Deliverable D03

D03 - Consortium Meetings Report

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IDEALVis Deliverable D04

D04 - Dissemination Plan

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IDEALVis Deliverable D05

D05 - Project Website

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IDEALVis Deliverable D06

D06 - Press Release

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IDEALVis Deliverable D07

D07 - Workshop Organization

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IDEALVis Deliverable D08

D08 - Exploitation Plan

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IDEALVis Deliverable D09

D09 - Survey on Adaptive Data Visualization Techniques for Business Data Analytics

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IDEALVis Deliverable D10

D10 - Requirements Analysis and Specification

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IDEALVis Deliverable D11

D11 - The Impact of Cognitive Factors on Data Visualizations

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IDEALVis Deliverable D12

D12 - The Human-centred User Model for Adaptive Data Visualizations

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IDEALVis Deliverable D13

D13 - Guided Reflective Exploratory Analysis

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IDEALVis Deliverable D14

D14 - Effective Practice Discovery using Collective Intelligence in Business Analytics

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IDEALVis Deliverable D15

D15 - IDEALVis Adaptation Engine

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IDEALVis Deliverable D16

D16 - Design and Development of the IDEALVis adaptation engine

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IDEALVis Deliverable D17

D17 - Design and Development of the Service Manager

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IDEALVis Deliverable D18

D18 - Specification of overall platform architecture

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IDEALVis Deliverable D19

D19 - Development of KnowledgeBase

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IDEALVis Deliverable D20

D20 - Development of the Operational Platform

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IDEALVis Deliverable D21

D21 - Platform Validation

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IDEALVis Deliverable D22

D22 - Trial and Evaluation Design

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IDEALVis Deliverable D23

D23 - Pilot setup and deployment

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IDEALVis Deliverable D24

D24 - Overall Platform Evaluation

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Project Publications

Publication in the 5th HUMANIZE Workshop

We are pleased to announce that our paper with title "Adaptive Business Data Visualizations and Exploration: A Human-centred Perspective" was accepted for publication in the 5th HUMANIZE workshop hosted by Intelligent User Interfaces (IUI) 2021.

Publication Link: https://dl.acm.org/doi/abs/10.1145/3397482.3450708
Video Presentation: https://www.youtube.com/watch?v=Aijoo3QvAy0

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Publication in the 6th HAAPIE Workshop

We are pleased to announce that our paper with title "Human-centred Persona Driven Personalization in Business Data Analytics" was accepted for publication in the 6th HAAPIE Workshop hosted by ACM User Modeling, Adaptation and Personalization (ACM UMAP) 2021.

Publication Link: https://dl.acm.org/doi/10.1145/3450614.3462241
Video Presentation: https://www.youtube.com/watch?v=gWCq_zZFXNE&t=180s

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Publication in the 6th HAAPIE Workshop

We are pleased to announce that our paper with title "Proposing a Perceived Expertise Tool in Business Data Analytics" was accepted for publication in the 6th HAAPIE Workshop hosted by ACM User Modeling, Adaptation and Personalization (ACM UMAP) 2021.

Publication Link: https://dl.acm.org/doi/10.1145/3450614.3462236

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Contact

Agamemnonos 20, Pallouriotissa,
Nicosia 1041, Cyprus

Phone Number: +357 24 694085
Email: info@inspirecenter.org