activity
20142025
most citedData Driven Authentication: On the Effectiveness of User Behaviour Modelling with Mobile Device Sensors

74 citations · 75 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

Policy Learning for Social Robot-Led Physiotherapy

Carl Bettosi, Lynne Ballie, Susan Shenkin +1

Social robots offer a promising solution for autonomously guiding patients through physiotherapy exercise sessions, but effective deployment requires advanced decision-making to ad…

cs.RO2023

Addressing Potential Pitfalls of SAR Assistance on the Aging Population

Emilyann Nault, Ronnie Smith, Lynne Baillie

In the field of Human Robot Interaction (HRI), socially assistive robots are being investigated to see if they can help combat challenges that can come with aging by providing diff…

cs.RO2023

Communicating Complex Decisions in Robot-Assisted Therapy

Carl Bettosi, Kefan Chen, Ryan Shah +1

Socially Assistive Robots (SARs) have shown promising potential in therapeutic scenarios as decision-making instructors or motivational companions. In human-human therapy, experts…

cs.HC2019★ 1 cited

Towards an Adaptive Robot for Sports and Rehabilitation Coaching

Martin K. Ross, Frank Broz, Lynne Baillie

The work presented in this paper aims to explore how, and to what extent, an adaptive robotic coach has the potential to provide extra motivation to adhere to long-term rehabilitat…

cs.CR2014★ 74 cited

Data Driven Authentication: On the Effectiveness of User Behaviour Modelling with Mobile Device Sensors

Hilmi Gunes Kayacik, Mike Just, Lynne Baillie +2

We propose a lightweight, and temporally and spatially aware user behaviour modelling technique for sensor-based authentication. Operating in the background, our data driven techni…