Urska Smrke

According to our database, Urska Smrke authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

Development and Validation of the Perceived Deepfake Trustworthiness Questionnaire (PDTQ) in Three Languages.

Nejc Plohl, Izidor Mlakar, Letizia Aquilino, Piercosma Bisconti, Urska Smrke

Int. J. Hum. Comput. Interact., June, 2025

A randomized pilot study evaluating socially assistive robot effects on patient engagement and care quality.

Izidor Mlakar, Urska Smrke, Valentino Safran, Igor Robert Roj, Bojan Ilijevec, Samo Horvat, Vojko Flis, Nejc Plohl

npj Digit. Medicine, 2025

Multimodal observable cues in mood, anxiety, and borderline personality disorders: a review of reviews to inform explainable AI in mental health.

Grega Mocnik, Ana Rehberger, Zan Smogavc, Izidor Mlakar, Urska Smrke, Sara Mocnik

Frontiers Artif. Intell., 2025

2024

Multilingual Framework for Risk Assessment and Symptom Tracking (MRAST).

Valentino Safran, Simon Lin, Jama Nateqi, Alistair G. Martin, Urska Smrke, Umut Ariöz, Nejc Plohl, Matej Rojc, Dina Bema, Marcela Chávez, Matej Horvat, Izidor Mlakar

Sensors, February, 2024

Using Structural Equation Modeling to Explore Patients' and Healthcare Professionals' Expectations and Attitudes Towards Socially Assistive Humanoid Robots in Nursing and Care Routine.

Izidor Mlakar, Urska Smrke, Vojko Flis, Nina Kobilica, Samo Horvat, Bojan Ilijevec, Bojan Musil, Nejc Plohl

Int. J. Soc. Robotics, January, 2024

An End-to-End framework for extracting observable cues of depression from diary recordings.

Izidor Mlakar, Umut Arioz, Urska Smrke, Nejc Plohl, Valentino Safran, Matej Rojc

Expert Syst. Appl., 2024

2023

Assistive digital technology to promote quality of life and independent living for older adults through improved self-regulation: a scoping review.

Gaja Zager Kocjan, Tanja Spes, Matija Svetina, Nejc Plohl, Urska Smrke, Izidor Mlakar, Bojan Musil

Behav. Inf. Technol., December, 2023

2021

Patients-centered SurvivorShIp care plan after Cancer treatments based on Big Data and Artificial Intelligence technologies (PERSIST): a multicenter study protocol to evaluate efficacy of digital tools supporting cancer survivors.

Izidor Mlakar, Simon Lin, Ilona Aleksandravica, Krista Arcimovica, Janis Eglitis, Marcis Leja, Ángel Salgado Barreira, Jesús G. Gómez, Mercedes Salgado, Jesús G. Mata, Doroteja Batorek, Matej Horvat, Maja Molan, Maja Ravnik, Jean-François Kaux, Valérie Bleret, Catherine Loly, Didier Maquet, Elena Sartini, Urska Smrke

BMC Medical Informatics Decis. Mak., 2021