activity
20242026
most citedArtful Path to Healing: Using Machine Learning for Visual Art Recommendation to Prevent and Reduce Post-Intensive Care

12 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026★ 3 cited

Telling Human and Machine Handwriting Apart

Luis A. Leiva, Moises Diaz, Nuwan T. Attygalle +2

Handwriting movements can be leveraged as a unique form of behavioral biometrics, to verify whether a real user is operating a device or application. This task can be framed as a r…

cs.HC2025

Assessing Medical Training Skills via Eye and Head Movements

Kayhan Latifzadeh, Luis A. Leiva, Klen Čopič Pucihar +3

We examined eye and head movements to gain insights into skill development in clinical settings. A total of 24 practitioners participated in simulated baby delivery training sessio…

cs.HC2025★ 9 cited

Brain Signatures of Time Perception in Virtual Reality

Sahar Niknam, Saravanakumar Duraisamy, Jean Botev +1

Achieving a high level of immersion and adaptation in virtual reality (VR) requires precise measurement and representation of user state. While extrinsic physical characteristics s…

cs.HC2025★ 5 cited

Text-to-Image Generation for Vocabulary Learning Using the Keyword Method

Nuwan T. Attygalle, Matjaž Kljun, Aaron Quigley +9

The 'keyword method' is an effective technique for learning vocabulary of a foreign language. It involves creating a memorable visual link between what a word means and what its pr…

cs.IR2024★ 12 cited

Artful Path to Healing: Using Machine Learning for Visual Art Recommendation to Prevent and Reduce Post-Intensive Care

Bereket A. Yilma, Chan Mi Kim, Gerald C. Cupchik +1

Staying in the intensive care unit (ICU) is often traumatic, leading to post-intensive care syndrome (PICS), which encompasses physical, psychological, and cognitive impairments. C…