Chee Siang Ang

University of Kent | KENT · School of Engineering and Digital Arts

This paper describes a study aimed to understand the use of 3D virtual world (VW) technology to support life engagement for people with dementia in long-term care. Three versions of VW prototypes (reminiscence room, virtual tour and gardening) utilising gestured-base interaction were developed iteratively. These prototypes were tested with older re...

Novel computational methods are being developed to integrate multiple distinct and often heterogeneous datasets in the hope that important new relationships will emerge that cannot be found using a single data source. Data in the wild may be copious, but not necessarily adequate to address important topics of inquiry. Researchers must decide whethe...

3D virtual worlds are becoming increasingly popular as tool for social interaction, with the potential of augmenting the user’s perception of physical and social presence. Thus, this technology could be of great benefit to older people, providing home-bound older users with access to social, educational and recreational resources. However, so far t...

Online social network services (SNS) provide an unprecedented rich source of information about millions of users worldwide. However, most existing studies of this emerging phenomenon are limited to relatively small data samples, with an emphasis on mostly “western” online communities (such as Facebook and MySpace users in Western countries). To und...

Being one of the most commercially successful entertainment software applications, massively multiplayer online role playing games (MMORPGs) continue to expand in term of the revenue they generate as well as the involvement of users who congregate in their virtual space and form communities around them to support each other. Unlike conventional off...

One factor leading to compromised Quality of Life (QoL) for people with dementia in long-term care settings is the significant barriers they face in accessing experiences beyond their physical premises. Although, in recent years, research within HCI has investigated the use of Virtual Reality (VR) in providing enriched experiences for people with d...

Background and Objectives Virtual reality (VR) interventions provide immersive, interactive computer-simulated virtual environments. There is interest in their use for people with dementia as they may provide stimulating experiences and improve dementia symptoms and quality of life. However, as more insight is needed about carers’ and clinical prof...

Drawing inspiration from collaborative art-making, our study presents the methodology and findings of a process of co-creating meaningful spaces with individuals living with dementia, and the subsequent exploration of these spaces from a first-person perspective in virtual reality (VR). We examine the dual role of art as a means of communication fo...

A diversified dataset is crucial for training a well-generalized supervised computer vision algorithm. However, in the field of microbiology, generation and annotation of a diverse dataset including field-taken images are time consuming, costly, and in some cases impossible. Image to image translation frameworks allow us to diversify the dataset by...

Introduction It is estimated that 55 million people are living with dementia worldwide in 2021, and the numbers are expected to rise to 78 million in 2030 and 139 million in 2050 (Siriaraya et al., 2022; World Health Organisation, 2022). Dementia is an umbrella term that describes neurodegenerative disorders that impact memory, cognition, language...

With one-person households being increasingly common and Covid-19 lockdown policies forcing people to stay home, remote dining has become common practice for many, who take it as an opportunity to connect with others in times of loneliness. Sharing meals online, also known as digital commensality, is a rich form of interaction, where people leverag...

Mindless eating, or the lack of awareness of the food we are consuming, has been linked to health problems attributed to unhealthy eating behaviour, including obesity. Traditional approaches used to moderate eating behaviour often rely on inaccurate self-logging, manual observations or bulky equipment. Overall, there is a clear unmet clinical need...

Background Repetitive transcranial magnetic stimulation (rTMS) is effective in treating depression; however, the effect on physical activity, sleep and recovery is unclear. This study investigated rTMS effect on physical activity and sleep through providing patients with a Fitbit and software apps; and reports the impact of rTMS on depression, anxi...

Losing a loved one through death is known to be one of the most challenging life events. To help the bereaved and their therapists monitor and better understand the factors that contribute to Prolonged Grief Disorder (PGD), we co-designed and studied a web-based explainable AI screening system named “Grief Inquiries Following Tragedy (GIFT).” We us...

The paper introduces a multimodal affective dataset named VREED (VR Eyes: Emotions Dataset) in which emotions were triggered using immersive 360° Video-Based Virtual Environments (360-VEs) delivered via Virtual Reality (VR) headset. Behavioural (eye tracking) and physiological signals (Electrocardiogram (ECG) and Galvanic Skin Response (GSR)) were...

The paper introduces a multimodal affective dataset named VREED (VR Eyes: Emotions Dataset) in which emotions were triggered using immersive 360° Video-Based Virtual Environments (360-VEs) delivered via Virtual Reality (VR) headset. Behavioural (eye-tracking) and physiological signals (Electrocardiogram (ECG) and Galvanic Skin Response (GSR)) were...

Wireless Soft Scalp Electronics The cover shows a wearable scalp electronic system with virtual reality for motor imagerybased brain-computer interfaces. The all-in-one, portable soft system includes an array of soft microneedles, stretchable interconnectors, and flexible circuits in a wearable platform. More details can be found in article number...

Motor imagery offers an excellent opportunity as a stimulus-free paradigm for brain–machine interfaces. Conventional electroencephalography (EEG) for motor imagery requires a hair cap with multiple wired electrodes and messy gels, causing motion artifacts. Here, a wireless scalp electronic system with virtual reality for real-time, continuous class...

Momentary photography is enjoyed by many smartphone users, especially with the popularity of apps such as Snapchat and Instagram. Many traditional positive psychology interventions focus on lengthy writing tasks to express positive emotions experienced during past events, acts of kindness and gratuitous situations. In this work we developed SnapApp...

Prolong Grief Disorder (PGD) is a condition in which mourners are stuck in the grief process for a prolonged period and continue to suffer from an intense, mal-adaptive level of grief. Despite the increased popularity of virtual mourning practices, and subsequently the emergence of HCI research in this area, there is little research looking into ho...

State-of-the-art computer-vision algorithms rely on big and accurately annotated data, which are expensive, laborious and time-consuming to generate. This task is even more challenging when it comes to microbiological images, because they require specialized expertise for accurate annotation. Previous studies show that crowdsourcing and assistive-a...

Despite the substantial research interest in using Virtual Reality (VR) in healthcare in general and in Psychological, Cognitive, and Behavioral (PC&B) interventions in specific, as well as emerging research supporting the efficacy of VR in healthcare, the design process of translating therapies into VR to meet the needs of critical stakeholders su...

Although short tandem repeat (STR) analysis is available as a reliable method for the determination of the genetic origin of cell lines, the occurrence of misauthenticated cell lines remains an important issue. Reasons include the cost, effort and time associated with STR analysis. Moreover, there are currently no methods for the discrimination bet...

Recent years have seen a growing research interest towards designing computer-assisted health interventions aiming to improve mental health services. Digital technologies are becoming common methods for diagnosis, therapy, and training. With the advent of lower-cost VR head-mounted-displays (HMDs) and high internet data transfer capacity, there is...

Traditional methods for screening and diagnosis of alcohol dependence are typically administered by trained clinicians in medical settings and often rely on interview responses. These self-reports can be unintentionally or deliberately false, and misleading answers can, in turn, lead to inaccurate assessment and diagnosis. In this study, we examine...

This Special Issue calls for high-quality, multidisciplinary research papers in the field of human-centred computing, engineering and life sciences which aim to address issues associated with dementia with novel technologies. We are interested in submissions focusing on emerging technologies to support dementia care, diagnosis, early intervention,...

The detection and monitoring of emotions are important in various applications, e.g. to enable naturalistic and personalised human-robot interaction. Emotion detection often require modelling of various data inputs from multiple modalities, including physiological signals (e.g.EEG and GSR), environmental data (e.g. audio and weather), videos (e.g....

Background and objectives: Emerging research supports virtual reality use with people with dementia in the community, but is limited to this area, warranting further investigation in different care settings. The feasibility of virtual reality within an inpatient psychiatric care setting was therefore explored. Research design and methods: Eight pe...

Early detection of cognitive decline is important for timely intervention and treatment strategies to prevent further deterioration or development of more severe cognitive impairment, as well as identify at risk individuals for research. In this paper, we explore the feasibility of using data collected from built-in sensors of mobile phone and game...

Variation in human brains creates difficulty in implementing electroencephalography into universal brain–machine interfaces. Conventional electroencephalography systems typically suffer from motion artefacts, extensive preparation time and bulky equipment, while existing electroencephalography classification methods require training on a per-subjec...

Mindless eating, or the lack of awareness of the food we are consuming, has been linked to health problems attributed to unhealthy eating behaviour, including obesity. Traditional approaches used to moderate eating behaviour often rely on inaccurate self-logging, manual observations or bulky equipment. Overall, there is a need for an intelligent an...

BACKGROUND Mindless eating, or the lack of awareness of the food we are consuming, has been linked to health problems attributed to unhealthy eating behaviour, including obesity. Traditional approaches used to moderate eating behaviour often rely on inaccurate self-logging, manual observations or bulky equipment. Overall, there is a need for an int...

Many people with dementia (PWD) residing in long-term care may face barriers in accessing experiences beyond their physical premises; this may be due to location, mobility constraints, legal mental health act restrictions, or offence-related restrictions. In recent years, there have been research interests towards designing non-pharmacological inte...

Objectives: Past research has shown that Virtual Reality (VR) is an effective method for reducing the perception of pain and effort associated with exercise. As pain and effort are subjective feelings, they are influenced by a variety of psychological factors, including one's awareness of internal body sensations, known as Private Body Consciousne...

Background: Cognitive Bias Modification of Interpretations (CBM-I) is a computerized intervention designed to change negatively biased interpretations of ambiguous information, which underlie and reinforce anxiety. The repetitive and monotonous features of CBM-I can negatively impact on training adherence and learning processes. Objectives: This p...

Scholarly efforts to understand conspiracy theories have grown significantly in recent years, and there is now a broad and interdisciplinary literature. In reviewing this body of work, we ask three specific questions. First, what factors are associated with conspiracy beliefs? Our review of the literature shows that conspiracy beliefs result from a...

Virtual worlds offer much potential in supporting social interaction for older adults, particularly as a platform which can provide an interactive and immersive social experience. Yet, there has not been much work carried out to study the use, interaction and behavior of older people in 3D virtual world systems, especially studies which investigate...

Brain Computer Interface (BCI) may be the only way to communicate with the external world for disabled people. Someone’s intention can be decoded from their brainwaves during motor imagery action. This can be used to help them control their environment without making any physical movement. To decode someone’s intention from brainwaves during motor...

The existing evidence base in relation to the feasibility of using Virtual Reality technology systems with individuals living with a dementia appeared limited and was therefore explored. The research was collected and reviewed in terms of the different types of Virtual Reality systems (equipment and levels of immersion) and feasibility of the techn...

A novel sensor-based Internet of Educational Things (IoET) platform named OBSY was iteratively designed, developed and evaluated to support education in rural regions in Thailand. To assess the effectiveness of this platform, a study was carried out at four primary schools located near the Thai northern border with 244 students and 8 teachers. Part...

The education system in Thailand. (DOCX)

OBSY concept sketch. (TIF)

Pictures of the experiment procedure. (a) A pre-test with the concept map, (b) Hello Mouldy experiment, (c) My Little Mushrooms experiment, (d) Light Up experiment, (e) A post-test concept map, (f) Content knowledge assessment and questionnaires. (TIF)

Pictures of students drawing a concept map. (TIF)

Regression analysis of the achievement of students’ learning performance about temperature, plant growing conditions, percentage, fraction and ordering & sequencing numbers. (DOCX)

Pictures of the four rural schools. Ban Mae Khao Tom School (a), Ban Mae Chan School (b), Ban Mae Salong Nai School (c) and Ban Mae Kham (d). (TIF)

Assessments used to measure acquired content knowledge. (TIF)

Screenshots of the web application. (TIF)

The experiment activities. (TIF)

Regression analysis of students’ interest/ enjoyment for IoET condition. (DOCX)

Many advocate for artificial agents to be empathic. Crowdsourcing could help, by facilitating human-in-the-loop approaches and data set creation for visual emotion recognition algorithms. Although crowdsourcing has been employed successfully for a range of tasks, it is not clear how effective crowdsourcing is when the task involves subjective ratin...

BACKGROUND Cognitive Bias Modification of Interpretations (CBM-I) is a computerized intervention designed to change negatively biased interpretations of ambiguous information, which underlie and reinforce anxiety. The repetitive and monotonous features of CBM-I can negatively impact training adherence and learning processes. OBJECTIVE This proof-o...

Today's mobile phone users are faced with large numbers of notifications on social media, ranging from new followers on Twitter and emails to messages received from WhatsApp and Facebook. These digital alerts continuously disrupt activities through instant calls for attention. This paper examines closely the way everyday users interact with notific...

As a consequence of prolonged muscle contraction, acute pain arises during exercise due to a build-up of noxious biochemicals in and around the muscle. Specific visual cues, e.g., the size of the object in weight lifting exercises, may reduce acute pain experienced during exercise. In this study, we examined how Virtual Reality (VR) can facilitate...

Education plays an important role in helping developing nations reduce poverty and improving quality of life. Ubiquitous and mobile technologies could greatly enhance education in such regions by providing augmented access to learning. This paper presents a three-year iterative study where a ubiquitous sensor based learning platform was designed, d...

Today's mobile phone users are faced with large numbers of notifications on social media, ranging from new followers on Twitter and emails to messages received from WhatsApp and Facebook. These digital alerts continuously disrupt activities through instant calls for attention. This paper examines closely the way everyday users interact with notific...

Virtual reality is a technology that allows users to experience a computer-simulated reality with visual, auditory, tactile and olfactory aspects. In recent decades, there has been considerable interest in using virtual reality for clinical purposes, including pain management. This articles describes a systematic review of research on virtual reali...

A commentary on fake news and conspiracy theories.