Peter WS Butcher

Dr. Peter WS Butcher


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 January 2020 in IEEE Transactions on Visualization and Computer Graphics
Verified
Journal Article
Open access
PBPeter WS Butcher
Peter WS Butcher
NJNigel W. John
Nigel W. John
Panagiotis RitsosPanagiotis Ritsos
Panagiotis Ritsos
We present VRIA, a Web-based framework for creating Immersive Analytics (IA) experiences in Virtual Reality. VRIA is built upon WebVR, A-Frame, React and D3.js, and offers a visualization creation workflow which enables users, of different levels of expertise, to rapidly develop Immersive Analytics experiences for the Web. The use of these open-standards Web-based technologies allows us to implement VR experiences in a browser and offers strong synergies with popular visualization libraries, through the HTML Document Object Model (DOM). This makes VRIA ubiquitous and platform-independent. Moreover, by using WebVR's progressive enhancement, the experiences VRIA creates are accessible on a plethora of devices. We elaborate on our motivation for focusing on open-standards Web technologies, present the VRIA creation workflow and detail the underlying mechanics of our framework. We also report on techniques and optimizations necessary for implementing Immersive Analytics experiences on the Web, discuss scalability implications of our framework, and present a series of use case applications to demonstrate the various features of VRIA. Finally, we discuss current limitations of our framework, the lessons learned from its development, and outline further extensions.

13 June 2023 in IEEE Transactions on Visualization and Computer Graphics
Verified
Journal Article
Closed access
SSSungbok Shin
Sungbok Shin
ABAndrea Batch
Andrea Batch
PBPeter WS Butcher
Peter WS Butcher
Panagiotis RitsosPanagiotis Ritsos
Panagiotis Ritsos
NENiklas Elmqvist
Niklas Elmqvist
The advent of low-cost, accessible, and high-performance augmented reality (AR) has shed light on a situated form of analytics where in-situ visualizations embedded in the real world can facilitate sensemaking based on the user's physical location. In this work, we identify prior literature in this emerging field with a focus on the technologies enabling such situated analytics. After collecting 47 relevant situated analytics systems, we classify them using a taxonomy of three dimensions: situating triggers, view situatedness, and data depiction. We then identify four archetypical patterns in our classification using an ensemble cluster analysis. Finally, we discuss several insights and design guidelines that we learned from our analysis.

24 October 2023 in IEEE Transactions on Visualization and Computer Graphics
Verified
Journal Article
Closed access
ABAndrea Batch
Andrea Batch
PBPeter WS Butcher
Peter WS Butcher
Panagiotis RitsosPanagiotis Ritsos
Panagiotis Ritsos
NENiklas Elmqvist
Niklas Elmqvist
What if magic could be used as an effective metaphor to perform data visualization and analysis using speech and gestures while mobile and on-the-go? In this paper, we introduce WIZUALIZATION, a visual analytics system for eXtended Reality (XR) that enables an analyst to author and interact with visualizations using such a magic system through gestures, speech commands, and touch interaction. Wizualization is a rendering system for current XR headsets that comprises several components: a cross-device (or ARCANE FOCUSES) infrastructure for signalling and view control (WEAVE), a code notebook (SPELLBOOK), and a grammar of graphics for XR (OPTOMANCY). The system offers users three modes of input: gestures, spoken commands, and materials. We demonstrate Wizualization and its components using a motivating scenario on collaborative data analysis of pandemic data across time and space.

3 February 2022 in Computers
Verified
Journal Article
Open access
PDF file
JRJonathan Roberts
Jonathan Roberts
PBPeter WS Butcher
Peter WS Butcher
Panagiotis RitsosPanagiotis Ritsos
Panagiotis Ritsos
The opportunities for 3D visualisations are huge. People can be immersed inside their data, interface with it in natural ways, and see it in ways that are not possible on a traditional desktop screen. Indeed, 3D visualisations, especially those that are immersed inside head-mounted displays are becoming popular. Much of this growth is driven by the availability, popularity and falling cost of head-mounted displays and other immersive technologies. However, there are also challenges. For example, data visualisation objects can be obscured, important facets missed (perhaps behind the viewer), and the interfaces may be unfamiliar. Some of these challenges are not unique to 3D immersive technologies. Indeed, developers of traditional 2D exploratory visualisation tools would use alternative views, across a multiple coordinated view (MCV) system. Coordinated view interfaces help users explore the richness of the data. For instance, an alphabetical list of people in one view shows everyone in the database, while a map view depicts where they live. Each view provides a different task or purpose. While it is possible to translate some desktop interface techniques into the 3D immersive world, it is not always clear what equivalences would be. In this paper, using several case studies, we discuss the challenges and opportunities for using multiple views in immersive visualisation. Our aim is to provide a set of concepts that will enable developers to perform critical thinking, creative thinking and push the boundaries of what is possible with 3D and immersive visualisation. In summary developers should consider how to integrate many views, techniques and presentation styles, and one view is not enough when using 3D and immersive visualisations.

2 May 2019
Verified
Conference Paper
Open access
PDF file
PBPeter WS Butcher
Peter WS Butcher
NJNigel W. John
Nigel W. John
Panagiotis RitsosPanagiotis Ritsos
Panagiotis Ritsos

1 June 2019 in Computer Graphics Forum
Verified
Journal Article
Closed access
PDF file
JRJonathan Roberts
Jonathan Roberts
HAH. Al‐Maneea
H. Al‐Maneea
PBPeter WS Butcher
Peter WS Butcher
RLRobert Lew
Robert Lew
GRGeraint Paul Rees
Geraint Paul Rees
AFA. Frankenberg‐Garcia
A. Frankenberg‐Garcia