Blog & Archive

EEG Neurofeedback for Motor Rehabilitation: Systematic Review and Meta-analysis

Preprint 2022 Yu-Wei Yang and Youngjun ChoDepartment of Computer Science, University College London, London, UK EEG neurofeedback has shown positive effects on motor rehabilitation in daily settings. However, high heterogeneity between existing works has been identified given a lack of systematic validation of various intervention training strategies and terminologies adopted ...

How Real-Time Social Biofeedback could affect University Students’ Presentation Experiences: A Mixed Method Approach

Preprint 2022 Selina He and Youngjun ChoDepartment of Computer Science, University College London, London, UK Public speaking is an essential soft skill for professional development. However, public speaking tends to be one of the stressors to university students. Here, we are interested in biofeedback, an intervention technique that can possibly ...

Exploring eye blink biofeedback for anxiety and stress reduction

Preprint 2022 Pauline Hohl and Youngjun ChoDepartment of Computer Science, University College London, London, UK Eye blinking is a subconscious behaviour that is associated with our affective states. While spontaneous eye blinking and its relationship with anxiety and stress have been actively explored in the literature, it has not yet ...

Silent Rider: Visual-tactile messaging Interface for Customers and Deliverer with profound hearing loss

Preprint 2022 Jiani Wang and Youngjun ChoDepartment of Computer Science, University College London, London, UK We introduce Silent Rider, a visual-tactile messaging interface that aims to facilitate a hearing-impaired deliverer’s mobile phone communication with their customers.  Silent Rider augments a typical smartwatch interface with a virtual module that interchanges users’ ...

Convolutional Neural Network with Attention on Spectrograms for Emotion Detection

Preprint 2021 Alok C. Suresh and Youngjun Cho The ability to accurately detect and model emotion is of great importance in advancing HCI applications and interfaces. Given this, the prevalence of research into the automatic emotion recognition task has steadily increased in recent years. This work is concerned with this ...

Haptic feedback interface in navigation systems for visually impaired and blind people: a systematic review

Preprint 2021 Bei Xia and Youngjun Cho Background: It is often challenging for visually impaired people to navigate independently. To help this, an increasing number of studies have explored navigation systems for visually impaired users. Particularly, the ways that the users communicate with such systems through touch have been actively ...

The Effect of Binaural Beats blended with Classical Music on State Anxiety Reduction

Preprint 2021 Yuxuan Liu and Youngjun Cho While alpha binaural beats and classical music treatment have been actively explored in alleviating state anxiety, no previous research has looked into a possibility of blending the two subtle interventions for amplifying their mental wellbeing benefit in daily settings. We hypothesize that classical ...

Accessibility and Distance Perception in Virtual Reality Head-Mounted Displays for People with Dyspraxia

Preprint 2021 Virtual reality (VR) has great potential as a technological intervention for disabled people. However, most human factor research into VR does not consider people with motor learning disabilities. Here, we consider the accessibility challenges faced by people with dyspraxia when using the current generation of VR head-mounted displays ...

User Interfaces in Autonomous Vehicles: Understanding Trends and Challenges for Visually Impaired Drivers

Preprint 2021 S Oh, C Holloway and Y ChoDepartment of Computer Science, University College London, London, UK Fully autonomous vehicles are emerging, potentially benefitting the visually impaired community. However, people with visual impairment have been by and large excluded in designing infotainment systems and interactive features in traditional vehicles. This ...

Understanding health benefits of fitness trackers during the COVID-19 Lockdown

Preprint 2021 Yuliang Chen and Youngjun Cho Department of Computer Science, University College London, London, UK Fitness trackers have gained much attention as daily physiological computing intervention to promote self-monitoring and self-regulation. This paper investigates the usage patterns and perceived health benefits of commercial fitness trackers before and during the ...
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