Virtual Reality-based Assessment and Rating Scales in ADHD Diagnosis

Zulueta, Aitziber; Díaz-Orueta, Unai; Crespo-Eguílaz, Nerea; Torrano, Fermín

doi:10.5093/psed2018a18

Cited by 21 publications

(16 citation statements)

References 38 publications

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“…Automated game testing was also discussed in [46], when the author deployed a user experience testing framework using belief, desire and intension test agents regulated through emotion. The importance of the simulation used in VR or AR is to predict the capability, limitation and performance of a system and, in result, will lead to a reduction in costs and hazards for experimentations compared with what is observed in traditional/hands-on methods [47,48]. An enhancement of those immersive simulated realities can be achieved through agent-based modeling (ABM) and design.…”

Section: (A) (B)mentioning

confidence: 99%

A serious-gamification blueprint towards a normalized attention

Alqithami

2021

Brain Inf.

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Attention is an important commodity in the human skills set. It can be trained to overcome deficits in the short term which might be based on multiple cognitive complications to entail inability to keep focus and mined wondering. On the long term, however, it might be a symptom of chronic diseases that acquire attention to include the spectra of many mental health disorders, e.g., attention deficit hyperactivity disorder (ADHD). This paper, therefore, introduces a generic reference model that guides in the design of proper treatment method for patients in short of attention to engage in a game-based environment in order to enhance the behavior of their current state of attention which may hopefully lead to a better focus. When considering the volatility of traditional cognitive behavioral therapies (CBTs), the model reflects and analyzes evolving serious games design directed for the treatment of ADHD. It serves as an instrument that spawn over a specific treatment design since it introduces essential components that depicts essential units of traditional CBT when they are modularly combined. The components will be introduced and the processes of the reference model will be elaborated as a roadmap for the formation and the operation of augmented reality treatment games.

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Section: (A) (B)mentioning

confidence: 99%

A serious-gamification blueprint towards a normalized attention

Alqithami

2021

Brain Inf.

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“…Human-robot communication experiments aimed at modeling attention levels are predicted to be an efficient method in rehabilitation areas with ADHD and ASD [11]. The Bioloid's cognitive architecture performs tasks using the motion selection module, evaluates children's attention levels during these tasks, and records them in the robot's memory.…”

Section: E Attention and Memory Therapymentioning

confidence: 99%

“…In recent years, non-pharmacological treatments, such as cognitive training, neurofeedback, and behavioral interventions, have gained prominence as they have been accepted by therapists as useful alternatives to avoid the use of medications in children, which in many cases can cause dependence [2,3]. Several nonpharmacological treatments to treat these NND have implemented technological developments such as the Internet of Things (IoT) [4][5][6], Artificial Intelligence (AI) [7][8][9][10], Virtual Reality (VR) [11][12][13][14], Augmented Reality (AR) [15][16][17], and Robotics [18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Robotic Technologies in ADHD Care: Literature Review

et al. 2022

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Robotics has made it possible to change and improve many support processes for vulnerable people in different settings. In recent years, its use has been oriented toward supporting therapeutic interventions of neurodevelopmental disorders (NDD), including attention deficit hyperactivity disorder (ADHD). This review of the literature highlights how advances in robotics have evolved in different scenarios of ADHD treatment, its collaboration with other emerging technologies, its results, its limitations, and the research challenges for the future development of robotics in the field of supporting children with ADHD. The authors conducted a literature review based on the location of keywords 'robotics' and several NNDs such as 'ADHD', 'Autism Spectrum Disorder (ASD)', 'cerebral palsy', and 'dementia' in titles, abstracts, and introduction of scientific articles in the Scopus and Web of Science (WoS) database. The reviewed literature was classified according to the type of therapy supported by the robots, the type of robot and the associated technologies. From this analysis, we can solve the research question: Which types of robots have the potential for specific applications in ADHD treatment? Furthermore, this article shows that despite favorable technical results, robotic technologies that support ADHD therapies require significant improvements in terms of scalability, human-machine interaction, and treatment and processing of acquired information to be applied effectively in real-world therapies. The most significant research challenges are proposed to drive research efforts to develop new approaches to enable robotic assistants to participate in ADHD therapies.

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“…A virtual reality system was proposed in Reference [ 27 ] that simulates scenarios in order to stimulate different sensory channels through virtual reality glasses, AULA NESPLORA, used in the evaluation of sustained attention, hearing, and vision as well as impulsivity and hyperactivity in children between 6 and 16 years of age [ 28 ]. The system records the responses to the stimuli, shown through the glasses, by means of a button that the patient activates when he or she recognizes the stimulus, and from the data collected on acceleration and spinning located on the glasses by means of IMUs [ 55 ].…”

Section: Related Workmentioning

confidence: 99%

“…The proposed systems in the literature that integrate IMUs and OHR sensors [ 19 , 20 ] in the context of hyperactive behaviour have the following shortcomings [ 21 , 22 , 23 , 24 ]: (i) the need to carry a large number of IMUs distributed throughout the body, resulting in invasiveness [ 25 ], (ii) they limit a person’s movement and activity, so people cannot perform their functions and tasks in a natural way [ 26 ], (iii) it is not easy to deploy the system on people’s bodies and they are overly dependent on external power sources [ 27 ], (iv) there is a lack of systems to provide relevant follow-up reports over long evaluation periods [ 23 ], (v) it is tested in simulated environments and not in real environments where the person acts naturally [ 27 ], and (vi) commercial options are expensive and, despite this, do not cover all needs [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Protoform for Hyperactive Behaviour Detection Based on Commercial Devices

Albín-Rodríguez

Ricoy-Cano

Robles

et al. 2020

IJERPH

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Hyperactive behaviour refers to a person making more movement than expected for his or her age and development, acting impulsively, and being easily distracted. There is a need to encourage early and reliable detection through the proposal of new methodologies and systems in the context of hyperactive behaviour to prevent or lessen related problems and disorders. This paper presents a methodology to compute a fuzzy protoform (a linguistic description) as an estimator for hyperactive behaviour. The proposed methodology is developed in a system called Smart HyBeDe, which integrate non-invasive and commercial wearable devices, such as activity bracelets, in order to capture data streams from inertial measurement units and optical heart rate sensors. The generated data by the wearable device are synchronized with a mobile device to process the fuzzy protoform to inform family members and professionals. Three datasets generated by the wearable device in real contexts are presented. These datasets are used to evaluate the impact of wrist choice for the wearable device, multiple fuzzy temporal windows, different aggregation operators, and relevant linguistic terms to define the fuzzy protoform as an estimator for the hyperactive behaviour. The results, analysed by a hyperactive behaviour expert, show that the proposed protoform is a suitable hyperactive behaviour estimator.

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Virtual Reality-based Assessment and Rating Scales in ADHD Diagnosis

Cited by 21 publications

References 38 publications

A serious-gamification blueprint towards a normalized attention

A serious-gamification blueprint towards a normalized attention

Robotic Technologies in ADHD Care: Literature Review

Fuzzy Protoform for Hyperactive Behaviour Detection Based on Commercial Devices

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