Dena Ahmed S Al Thani
Biographic Data
| ID | 1900891 |
|---|---|
| NAME | Dena Ahmed S Al Thani |
| GIVEN NAMES | Dena Ahmed S |
| FAMILY NAME | Al Thani |
| SIGNATURE | AL THANI D A S |
| AFFILIATIONS | Hamad bin Khalifa University |
| ORCID | 0000-0002-1474-2692 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Attitude, perception, and knowledge toward artificial intelligence among dental hygiene students and alumni
Introduction As Artificial Intelligence (AI) becomes an integral part of modern education, understanding the perspectives of healthcare students on AI is vital for their adaptation and future success. This study investigates the attitudes, perceptions, and knowledge toward AI among dental hygiene students and alumni, as well as their educational needs related to AI integration. Methods A cross-sectional survey used a validated instrument adapted …
Pathways to learning
Augmented reality (AR) technology has shown promise in facilitating vocabulary learning for children with autism spectrum disorder (ASD). This study employed a single-subject research design with a withdrawal approach to investigate the effectiveness of an AR mobile application, in enhancing vocabulary learning performance among children with ASD. Nine participants aged 8–12 years diagnosed with mild ASD were recruited from a local special needs …
Designing AI to foster acceptance
This study examines the impact of two key AI modalities – freedom of choice (FoC) and social proof (SP) – on public attitudes toward AI, focusing on cultural differences between UK and Arab participants. FoC refers to the option of selecting a non-AI, possibly human, alternative, while SP means knowing that others have used AI without issues. Four scenarios were designed, combining the presence or absence of these modalities. The context was a cu…
Do near-bedtime usage of smartphones and problematic internet usage really impact sleep? A study based on objectively recorded usage data
Objective: Existing research reporting an association between smartphone usage and sleep quality has often utilised subjective self-reported smartphone usage and sleep data.This paper aims to study the associations of objectively collected smartphone near-bedtime usage and problematic internet usage (PIU) with parameters of sleep quality.Methods: The dataset had 269 (55% Female, 55.13% Adults) participants.From the acquired usage data, the daily …
User‐Centered Evaluation of Explainable Artificial Intelligence (XAI)
Researchers have developed a variety of approaches to evaluate explainable artificial intelligence (XAI) systems using human–computer interaction (HCI) user‐centered techniques. This systematic literature review has been conducted to understand how these approaches are used to achieve XAI goals. The aim of this review is to explore the methods used to evaluate XAI systems in studies involving human subjects. A total of 101 full‐text studies were …
The what, where, who, why, which, and how of collaborative play involving autistic children in educational context
Introduction In educational settings, autistic children often encounter barriers to engaging in collaborative play. Notably, play is an important component of a child’s development, and its pedagogical significance has been rigorously researched. This study endeavored to understand the dynamics of collaborative play among autistic children across various learning contexts, examining usual methodologies, associated challenges, and potential techno…
How the different explanation classes impact trust calibration
Machine learning has made rapid advances in safety-critical applications, such as traffic control, finance, and healthcare. With the criticality of decisions they support and the potential consequences of following their recommendations, it also became critical to provide users with explanations to interpret machine learning models in general, and black-box models in particular. However, despite the agreement on explainability as a necessity, the…
Procrastination on social media
Procrastination refers to the voluntary delay of urgent tasks and can have several negative consequences such as stress, health issues and academic under-achievement. Several factors including personality, culture and gender have been identified as predictors of procrastination, although there are some conflicting findings within the literature. Social networking sites have been identified as a possible facilitator of procrastination, in part due…
Combating Fear of Missing Out (FoMO) on Social Media
Background: The fear of missing out (FoMO) on social media refers to the apprehension that online content and interactions from others are unseen and reacted to in a timely fashion. FoMO can become problematic, leading to anxiety, interrupted sleep, lack of concentration and dependence on social media to generate gratification. The literature has mainly focused on understanding the FoMO experience, factors contributing to it and its consequences.…
Procrastination on social media
Procrastination refers to the voluntary delay of urgent tasks and can have several negative consequences such as stress, health issues and academic under-achievement. Several factors including personality, culture and gender have been identified as predictors of procrastination, although there are some conflicting findings within the literature. Social networking sites have been identified as a possible facilitator of procrastination, in part due…
Combating Fear of Missing Out (FoMO) on Social Media
Background: The fear of missing out (FoMO) on social media refers to the apprehension that online content and interactions from others are unseen and reacted to in a timely fashion. FoMO can become problematic, leading to anxiety, interrupted sleep, lack of concentration and dependence on social media to generate gratification. The literature has mainly focused on understanding the FoMO experience, factors contributing to it and its consequences.…
Procrastination on social media
Procrastination refers to the voluntary delay of urgent tasks and can have several negative consequences such as stress, health issues and academic under-achievement. Several factors including personality, culture and gender have been identified as predictors of procrastination, although there are some conflicting findings within the literature. Social networking sites have been identified as a possible facilitator of procrastination, in part due…
How the different explanation classes impact trust calibration
Machine learning has made rapid advances in safety-critical applications, such as traffic control, finance, and healthcare. With the criticality of decisions they support and the potential consequences of following their recommendations, it also became critical to provide users with explanations to interpret machine learning models in general, and black-box models in particular. However, despite the agreement on explainability as a necessity, the…
User‐Centered Evaluation of Explainable Artificial Intelligence (XAI)
Researchers have developed a variety of approaches to evaluate explainable artificial intelligence (XAI) systems using human–computer interaction (HCI) user‐centered techniques. This systematic literature review has been conducted to understand how these approaches are used to achieve XAI goals. The aim of this review is to explore the methods used to evaluate XAI systems in studies involving human subjects. A total of 101 full‐text studies were …
The what, where, who, why, which, and how of collaborative play involving autistic children in educational context
Introduction In educational settings, autistic children often encounter barriers to engaging in collaborative play. Notably, play is an important component of a child’s development, and its pedagogical significance has been rigorously researched. This study endeavored to understand the dynamics of collaborative play among autistic children across various learning contexts, examining usual methodologies, associated challenges, and potential techno…
Do near-bedtime usage of smartphones and problematic internet usage really impact sleep? A study based on objectively recorded usage data
Objective: Existing research reporting an association between smartphone usage and sleep quality has often utilised subjective self-reported smartphone usage and sleep data.This paper aims to study the associations of objectively collected smartphone near-bedtime usage and problematic internet usage (PIU) with parameters of sleep quality.Methods: The dataset had 269 (55% Female, 55.13% Adults) participants.From the acquired usage data, the daily …
Attitude, perception, and knowledge toward artificial intelligence among dental hygiene students and alumni
Introduction As Artificial Intelligence (AI) becomes an integral part of modern education, understanding the perspectives of healthcare students on AI is vital for their adaptation and future success. This study investigates the attitudes, perceptions, and knowledge toward AI among dental hygiene students and alumni, as well as their educational needs related to AI integration. Methods A cross-sectional survey used a validated instrument adapted …
Pathways to learning
Augmented reality (AR) technology has shown promise in facilitating vocabulary learning for children with autism spectrum disorder (ASD). This study employed a single-subject research design with a withdrawal approach to investigate the effectiveness of an AR mobile application, in enhancing vocabulary learning performance among children with ASD. Nine participants aged 8–12 years diagnosed with mild ASD were recruited from a local special needs …
Designing AI to foster acceptance
This study examines the impact of two key AI modalities – freedom of choice (FoC) and social proof (SP) – on public attitudes toward AI, focusing on cultural differences between UK and Arab participants. FoC refers to the option of selecting a non-AI, possibly human, alternative, while SP means knowing that others have used AI without issues. Four scenarios were designed, combining the presence or absence of these modalities. The context was a cu…
Computer Science (8 works) · Psychology (6 works) · Applied Psychology (3 works) · Artificial Intelligence in Healthcare and Education (3 works) · Child Development and Digital Technology (3 works) · Ethics and Social Impacts of AI (3 works) · Impact of Technology on Adolescents (3 works) · Social Psychology (3 works) · World Wide Web (3 works) · AI in Service Interactions (2 works)