Riccardo Bovo

According to our database, Riccardo Bovo authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Visualisations with semantic icons: Assessing engagement with distracting elements.

Muna Alebri, Enrico Costanza, Georgia Panagiotidou, Duncan P. Brumby, Fatima Althani, Riccardo Bovo

Int. J. Hum. Comput. Stud., 2024

EmBARDiment: an Embodied AI Agent for Productivity in XR.

Riccardo Bovo, Steven Abreu, Karan Ahuja, Eric J. Gonzalez, Li-Te Cheng, Mar González-Franco

CoRR, 2024

Streamspace: A Framework for Window Streaming in Collaborative Mixed Reality Environments.

Daniele Giunchi, Riccardo Bovo, Nels Numan, Anthony Steed

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

Fovea Prediction Model in VR.

Daniele Giunchi, Riccardo Bovo, Nitesh Bhatia, Thomas Heinis, Anthony Steed

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

WindowMirror: An Opensource Toolkit to Bring Interactive Multi-Window Views into XR.

Riccardo Bovo, Eric J. Gonzalez, Li-Te Cheng, Mar González-Franco

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

2023

Speech-Augmented Cone-of-Vision for Exploratory Data Analysis.

Riccardo Bovo, Daniele Giunchi, Ludwig Sidenmark, Joshua Newn, Hans Gellersen, Enrico Costanza, Thomas Heinis

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Cone of Vision as a Behavioural Cue for VR Collaboration.

Riccardo Bovo, Daniele Giunchi, Muna Alebri, Anthony Steed, Enrico Costanza, Thomas Heinis

Proc. ACM Hum. Comput. Interact., 2022

Mitigation strategies for participant non-attendance in VR remote collaborative experiments.

Riccardo Bovo, Daniele Giunchi, Enrico Costanza, Anthony Steed, Thomas Heinis

Frontiers Comput. Sci., 2022

MR-RIEW: An MR Toolkit for Designing Remote Immersive Experiment Workflows.

Riccardo Bovo, Daniele Giunchi, Anthony Steed, Thomas Heinis

Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2022

Explorative Study on Asymmetric Sketch Interactions for Object Retrieval in Virtual Reality.

Daniele Giunchi, Stuart James, Riccardo Bovo, Donald Degraen, Anthony Steed

Proceedings of the 2nd International Conference on Interactive Media, 2022

Real-time head-based deep-learning model for gaze probability regions in collaborative VR.

Riccardo Bovo, Daniele Giunchi, Ludwig Sidenmark, Hans Gellersen, Enrico Costanza, Thomas Heinis

Proceedings of the ETRA 2022: Symposium on Eye Tracking Research and Applications, Seattle, WA, USA, June 8, 2022

Shall I describe it or shall I move closer? Verbal references and locomotion in VR collaborative search tasks.

Riccardo Bovo, Daniele Giunchi, Enrico Costanza, Anthony Steed, Thomas Heinis

Proceedings of 20th European Conference on Computer-Supported Cooperative Work, Coimbra, Portugal, June 27, 2022

2021

Perceived Realism of Pedestrian Crowds Trajectories in VR.

Daniele Giunchi, Riccardo Bovo, Panayiotis Charalambous, Fotis Liarokapis, Alastair Shipman, Stuart James, Anthony Steed, Thomas Heinis

Proceedings of the VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology, Virtual Event / Osaka, Japan, December 8, 2021

Browsing Internet Content in Multiple Dimensions.

Tiger Cross, Riccardo Bovo, Thomas Heinis

Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021

2020

Detecting errors in pick and place procedures: detecting errors in multi-stage and sequence-constrained manual retrieve-assembly procedures.

Riccardo Bovo, Nicola Binetti, Duncan P. Brumby, Simon Julier

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

2018

A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments.

Felix Mannhardt, Riccardo Bovo, Manuel Fradinho Oliveira, Simon Julier

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018