MIRA – A Gaze-based Serious Game for Continuous Estimation of Alzheimer's Mental State

Paletta, Lucas; Pszeida, Martin; Dini, Amir; Russegger, Silvia; Schuessler, Sandra; Jos, Anna; Schuster, Eva; Steiner, Josef; Fellner, Maria

doi:10.1145/3379157.3391989

Cited by 12 publications

(4 citation statements)

References 6 publications

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“…The use of biosignals seems to be an ideal method for evidence-based assessment, studying how players learn, better evaluate non-conscious effects on players, measure user engagement and evaluate the level of difficulty of serious games. The use of video games in combination with biosignals has proven to be useful tools for the detection and evaluation of diseases, as in the case of [92], where they have been applied to players with Alzheimer's disease. Use of biosignals is useful in the analysis of the design of any video game since it allows to study the effect of its difficulty (or lack of it) on the players [70], [84] and to help to understand the way in which players make decisions during the game session [94].…”

Section: Discussionmentioning

confidence: 99%

Scoping Review of Bioelectrical Signals Uses in Videogames for Evaluation Purposes

2022

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Bioelectric signals can improve assessment in videogames by helping to better understand user experience, evaluate attention, or study the cognitive and physical effects of games. Use of signals is therefore relevant to better evaluate and understand the impact and effects of videogames on players, and specially so in the field of serious games, such as educational or training games, to gain insights into the learning processes; or in games for health to better evaluate non-conscious effects on the player's body. We examine how biological signals (bioelectric + eye-tracking) are being used and collected in the field of video games, including the choice of signals, the devices used to collect them (e.g., wearables), the purposes for which they are collected, and the results reported from their use. As a result of this systematic literature review, 81 articles have been analyzed, finding that electrocardiograms and encephalograms are the most frequently used signals. The main use of these bioelectrical signals is to evaluate player engagement, level of difficulty, and stress during the gameplay. But there are also examples where signals are used to detect health problems, or as evidence to compare educational games with other learning activities. This review informs researchers interested in better understanding the benefits and limitations of biological signals for video games, providing an overview of studies conducted in recent years and the associated devices described in those studies. Limitations in this field include signal noise issues as well as the amount of time required to calibrate the devices during experiments, adding to the complexity of user testing. It is necessary to work on tools that facilitate experiments with large groups of users in parallel as well as to work on open software and low-cost devices that allow the emergence of a greater number of studies in this field, given for example their potential in the field of educational games to better understand the learning processes of users.

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Section: Discussionmentioning

confidence: 99%

Scoping Review of Bioelectrical Signals Uses in Videogames for Evaluation Purposes

2022

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“…The most popular model-based methods use infrared sensors for imaging, including several available COTS [6], [22]. For example, medical research has used model-based eye trackers in several fields, such as ophthalmology [23], [24], psychiatry [25], psychology [26], psychopharmacology [27], and neurology [9], [15]- [17].…”

Section: A Model-based Tracking Systemsmentioning

confidence: 99%

Digital Camera-based Eye Movement Assessment Method for NeuroEye Examination

Hassan¹

2022

Preprint

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<p>In this article, I/We report a novel eye-movement assessment method using a digital camera to measure eye conjugacy in healthy individuals while performing a neurological examination. This is clinically significant because this approach overcomes the limitations of complex and expensive setups (e.g., infrared cameras) that often make it impractical to scale up and translate to clinical use. Moreover, this approach removes the need for a calibration procedure which has caused prior studies to exclude participants, potentially introducing selection bias and limiting generalizability. Our study suggests that this technology could be deployed for clinical use in the clinic or pre-hospital setting, including telemedicine or emergency medical services (EMS) encounters to detect neurological injury or diseases that cause neuro-ocular deficits, like stroke. </p>

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“…Eye tracking is also performed to quantify the mental state of Alzheimer patients. The researchers used a mobile device based eye tracker to perform cognitive assessments 13 . Kapoula et al 19 performed gaze estimation by detecting abnormal eye movements such as optokinetic-nystagmus (OKN), and smooth pursuit (SP) for participants suffering from somatic tinnitus.…”

Section: Introductionmentioning

confidence: 99%

“…Device-based eye tracking is widely used to quantify the gaze of an individual, much like a physician assessing eye movements at the bedside. Estimation performed by eye tracking is pertinent to various fields of medicine and clinical research including ophthalmology 10,11 , psychiatry 12 , psychology 13 , psychopharmacology 14 , and neurology [15][16][17][18] . Depending on the use case scenario, researchers may opt to deploy either wearable devices or screen based platforms to estimate eye movements.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Need for Calibration to Track Eye Movements: A Feasibility Study

Ameen¹,

Aldridge²,

Zhuang³

et al. 2021

Preprint

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Automated eye tracking technology could enhance diagnosis and treatment for many neurological diseases, including posterior circulation stroke. Much of the current literature focuses on gaze estimation through a form of calibration. Unlike other fields, medicine has a clear need to better track eye symmetry during movement for better detection of abnormal conjugacy, ductions, and vestibulo-ocular function in a variety of neurological diseases. However, patients with neuro-ocular deficits may have a difficult time completing a calibration procedure due to inattention and other associated neurologic deficits. Here, we investigate the need for calibration to measure the symmetry of eye movements in healthy individuals including testing fixations, smooth pursuits, and saccades. The results of this feasibility study suggest that calibration may not be necessary to measure and track binocular eye movements in tandem. The structure or shape which the eyes draw during visual tracking remain intact even without a calibration procedure. The preliminary study suggests that this technology can be deployed without a calibration procedure within this clinical context. Further research is needed to validate these findings in populations with neuro-ophthalmologic disease, including posterior circulation stroke.

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MIRA – A Gaze-based Serious Game for Continuous Estimation of Alzheimer's Mental State

Cited by 12 publications

References 6 publications

Scoping Review of Bioelectrical Signals Uses in Videogames for Evaluation Purposes

Scoping Review of Bioelectrical Signals Uses in Videogames for Evaluation Purposes

Digital Camera-based Eye Movement Assessment Method for NeuroEye Examination

Investigating the Need for Calibration to Track Eye Movements: A Feasibility Study

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