VLDB 2026 Research / reviewers in the wild / expert
Robert Sims
dblp:134/6346
· DBLP profile ↗
4ranked-venue papers
3as first author
3since 2021 · last 2022
0000-0002-2387-4451ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 3 · 3 first-author · 3 since 2021Applied, interdisciplinary, general and emerging computing · 3 · 3 first-author · 3 since 2021Computer networks · 1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Step Into My Mind Palace: Exploration of a Collaborative Paragogy Tool in VRabstractVirtual Reality (VR) can mediate remote collaborative learning and can support pedagogical processes like paragogy. Within education, methods such as spaced repetition and memory palaces exist to support the cognitive process of remembering. We identify an opportunity to enhance learner-led collaborative paragogy involving these methods through immersive VR experiences. We present CleVR, a VR-mediated collaboration-based system that supports the memory palace and spaced repetition techniques. As an exploratory study, we aim to identify the applicability, viability and user perception for such a system combining these two techniques in VR. CleVR is a novel implementation which provides a location-driven metaphor to populate and present multiple resources related to a topic for peer-led exploration. We discuss the design and provide a prototype implementation of CleVR. We conducted two studies, a targeted expert user review and a broader proof of concept survey. The results of the studies show interesting outcomes, with the system described as ‘engaging’, ‘useful’ and ‘fun’. Our findings provide insights to the potential of using Virtual Reality Learning Environments (VRLE) geared towards collaborative learner-led activities. Robert Sims, Barry Chang, Verity Bennett, Advaith Krishnan, Abdalslam Aboubakar, George Coman, Abdulrazak Bahrami, Zehao Huang, Christopher Clarke, Abhijit Karnik |
iLRN | 1 |
| 2021 | VERITAS: Mind-Mapping in Virtual RealityabstractInquiry based learning is a modern and innovative learning strategy that aims to stimulate students' interest in a topic and target Bloom's higher order cognitive process. Reflective tasks, such as mind mapping, support inquiry-based learning. Virtual Reality (VR) presents novel opportunities to help scaffold reflective tasks in inquiry-based learning by supporting use of the 3D space which is not available via existing 2D mind mapping applications. In this paper we present VERITAS, a VR application for mind-mapping based reflective tasks operating on the low-cost Oculus Go device. We discuss the interaction design for the mind-mapping task and evaluate the system from a usability perspective. Our results show that novice participants are able to learn how to use the interactions quickly and utilize them effectively to build mind-maps in 3D. VERITAS establishes the usability of VR and essential interactions to successfully perform abstract and complex reflective tasks like mind-mapping. Robert Sims, Abhijit Karnik |
iLRN | 1 |
| 2021 | Logibot: Investigating Engagement and Development of Computational Thinking Through Virtual RealityabstractIn this study we assess the effects of teaching fundamental programming concepts through a virtual reality (VR) block-based programming application and its impact on engagement. As a comparison study, participants played an existing desktop-based game (LightBot) and the developed VR game (LogiBot) covering similar gameplay mechanics and block-based programming. Initial results indicate that traditional desktop applications are currently more engaging than VR for teaching programming. We thus identify the need for careful design of interaction methods to support ease of use and reward factors to promote engagement in VR-based learning applications beyond the initial wow-factor. Robert Sims, Nathan Rutherford, Prashanthy Sukumaran, Nikola Yotov, Abhijit Karnik |
iLRN | 1 |
| 2013 | mBenchLab: Measuring QoE of Web applications using mobile devicesabstractIn this paper, we present mBenchLab, a software infrastructure to measure the Quality of Experience (QoE) on tablet and smartphones accessing cloud hosted Web services. mBenchLab does not rely on emulation but uses real phones and tablets with their original software stack and communication interfaces for performance evaluation. We have used mBenchLab to measure the QoE of well-known web sites on various devices (Android tablets and smartphones) and networks (Wifi, 3G, 4G). We present our experimental results and lessons learned measuring QoE on mobile devices with mBenchLab. In our QoE analysis, we were able to discover a new bug in a very popular smartphone that impacts both performance and data usage. We have also made the entire mBenchLab software available as open source to the community to measure QoE on mobile devices that access cloud-hosted Web applications. Emmanuel Cecchet, Robert Sims, Prashant J. Shenoy |
IWQoS | 2 |