Demo Data from EDBT 2026 / reviewers in the wild / expert
Vahid Pooryousef
dblp:256/7938
· DBLP profile ↗
3ranked-venue papers
3as first author
3since 2021 · last 2026
0000-0003-4258-4502ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
3 papers |
Immersive interaction · 30% Collaborative and social computing · 28% Health and well-being technologies · 22% | |
| Computer graphics and multimedia
1 paper |
Computer animation and physical simulation · 100% | |
| Artificial intelligence
1 paper |
Language models and text generation · 100% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Immersive interaction › extended reality
extended reality authoring |
1.0 | 1 | 2026 | Criminator: An Easy-to-Use XR "Crime Animator" for Rapid Reconstruction and Analysis of Dynamic Crime Scenes · CHI 2026 |
Collaborative and social computing
mixed reality collaboration |
0.8 | 1 | 2024 | Collaborative Forensic Autopsy Documentation and Supervised Report Generation Using a Hybrid Mixed-Reality Environment and Generative AI · IEEE Trans. Vis. Comput. Graph. 2024 |
User interface design and tools › visualization
mixed reality visualization |
0.7 | 1 | 2023 | Working with Forensic Practitioners to Understand the Opportunities and Challenges for Mixed-Reality Digital Autopsy · CHI 2023 |
Computer animation and physical simulation
character animation |
0.3 | 1 | 2026 | Criminator: An Easy-to-Use XR "Crime Animator" for Rapid Reconstruction and Analysis of Dynamic Crime Scenes · CHI 2026 |
Natural language and speech › Language models and text generation › text generation › data-to-text generation
report generation |
0.2 | 1 | 2024 | Collaborative Forensic Autopsy Documentation and Supervised Report Generation Using a Hybrid Mixed-Reality Environment and Generative AI · IEEE Trans. Vis. Comput. Graph. 2024 |
Methods — techniques the papers use, named apart from their topics
usability evaluation · 2.0co-design · 2.0voice interaction · 1.5hand interaction · 1.5generative AI · 1.5user-centred design · 0.7qualitative validation · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Criminator: An Easy-to-Use XR "Crime Animator" for Rapid Reconstruction and Analysis of Dynamic Crime ScenesabstractLaw enforcement authorities are increasingly interested in 3D modelling for virtual crime scene reconstruction, enabling offline analysis without the cost and contamination risk of on-site investigation. Past work has demonstrated spatial relationships through static modelling but validating the sequence of events in dynamic scenarios is crucial for solving a case. Yet, animation tools are not well suited to crime scene reconstruction, and complex for non-experts in 3D modelling/animation. Through a co-design process with criminology experts, we designed “Criminator”—a methodological framework and XR tool that simplifies animation authoring. We evaluated this tool with participants trained in criminology (n=6) and untrained individuals (n=12). Both groups were able to successfully complete the character animation tasks and provided high usability ratings for observation tasks. Criminator has potential for hypothesis testing, demonstration, sense-making, and training. Challenges remain in how such a tool fits into the entire judicial process, with questions about including animations as evidence. Vahid Pooryousef, Lonni Besançon, Maxime Cordeil, Chris Flight, Alastair M. Ross, Richard Bassed, Tim Dwyer |
CHI | 1 |
| 2024 | Collaborative Forensic Autopsy Documentation and Supervised Report Generation Using a Hybrid Mixed-Reality Environment and Generative AIabstractForensic investigation is a complex procedure involving experts working together to establish cause of death and report findings to legal authorities. While new technologies are being developed to provide better post-mortem imaging capabilities-including mixed-reality (MR) tools to support 3D visualisation of such data-these tools do not integrate seamlessly into their existing collaborative workflow and report authoring process, requiring extra steps, e.g. to extract imagery from the MR tool and combine with physical autopsy findings for inclusion in the report. Therefore, in this work we design and evaluate a new forensic autopsy report generation workflow and present a novel documentation system using hybrid mixed-reality approaches to integrate visualisation, voice and hand interaction, as well as collaboration and procedure recording. Our preliminary findings indicate that this approach has the potential to improve data management, aid reviewability, and thus, achieve more robust standards. Further, it potentially streamlines report generation and minimise dependency on external tools and assistance, reducing autopsy time and related costs. This system also offers significant potential for education. A free copy of this paper and all supplemental materials are available at https://osf.io/ygfzx. Vahid Pooryousef, Maxime Cordeil, Lonni Besançon, Richard Bassed, Tim Dwyer |
IEEE Trans. Vis. Comput. Graph. | 1 |
| 2023 | Working with Forensic Practitioners to Understand the Opportunities and Challenges for Mixed-Reality Digital AutopsyabstractForensic practitioners analyse intrinsic 3D data daily on 2D screens. We explore novel immersive visualisation techniques that enable digital autopsy through analysis of 3D imagery. We employ a user-centred design process involving four rounds of user feedback: (1) formative interviews eliciting opportunities and requirements for mixed-reality digital autopsies; (2) a larger workshop identifying our prototype’s limitations and further use-cases and interaction ideas; (3+4) two rounds of qualitative user validation of successive prototypes of novel interaction techniques for pathologist sensemaking. Overall, we find MR holds great potential to enable digital autopsy, initially to supplement physical autopsy, but ultimately to replace it. We found that experts were able to use our tool to perform basic virtual autopsy tasks, MR setup promotes exploration and sense making of cause of death, and subject to limitations of current MR technology, the proposed system is a valid option for digital autopsies, according to experts’ feedback. Vahid Pooryousef, Maxime Cordeil, Lonni Besançon, Christophe Hurter, Tim Dwyer, Richard Bassed |
CHI | 1 |