Designing a Kinect2Scratch Game to Help Teachers Train Children with Intellectual Disabilities for Pedestrian Safety

Chang, Yao‐Jen; Kang, Ya‐Shu; Chang, Yao-Sheng; Liu, Hung-Huan; Chiu, Yu-Ling; Kao, Chia Chun

doi:10.1145/2982142.2982185

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…In this case, their findings reveal that children in the group using the Wii show the greatest improvement in motor skills, and better visual–motor integration [ 35 ]. Other use examples can be found that include: a proposal of learning method via Microsoft Kinect to teach students with disabilities [ 36 ], to train children with intellectual disabilities on pedestrian safety issues [ 37 ]; to help individuals living with disabilities learn communication skills [ 38 ], or to train children with Down syndrome so they practice and improve visual-motor skills and cognitive abilities [ 39 ]. It is possible to continue listing different studies and research that involves individuals with Down syndrome or other cognitive or motor impairments and the use of Kinect sensor for different purposes, yet their focus is on the results of training/application and not on the evaluation of the full-body gestures themselves.…”

Section: Related Workmentioning

confidence: 99%

Evaluation of Full-Body Gestures Performed by Individuals with Down Syndrome: Proposal for Designing User Interfaces for All Based on Kinect Sensor

Rio

Martín-Gutiérrez

2020

Sensors

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The ever-growing and widespread use of touch, face, full-body, and 3D mid-air gesture recognition sensors in domestic and industrial settings is serving to highlight whether interactive gestures are sufficiently inclusive, and whether or not they can be executed by all users. The purpose of this study was to analyze full-body gestures from the point of view of user experience using the Microsoft Kinect sensor, to identify which gestures are easy for individuals living with Down syndrome. With this information, app developers can satisfy Design for All (DfA) requirements by selecting suitable gestures from existing lists of gesture sets. A set of twenty full-body gestures were analyzed in this study; to do so, the research team developed an application to measure the success/failure rates and execution times of each gesture. The results show that the failure rate for gesture execution is greater than the success rate, and that there is no difference between male and female participants in terms of execution times or the successful execution of gestures. Through this study, we conclude that, in general, people living with Down syndrome are not able to perform certain full-body gestures correctly. This is a direct consequence of limitations resulting from characteristic physical and motor impairments. As a consequence, the Microsoft Kinect sensor cannot identify the gestures. It is important to remember this fact when developing gesture-based on Human Computer Interaction (HCI) applications that use the Kinect sensor as an input device when the apps are going to be used by people who have such disabilities.

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Section: Related Workmentioning

confidence: 99%

Evaluation of Full-Body Gestures Performed by Individuals with Down Syndrome: Proposal for Designing User Interfaces for All Based on Kinect Sensor

Rio

Martín-Gutiérrez

2020

Sensors

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“…However, in terms of which technologies were the primary or main focus of the project twelve studies focused on mobile devices such as android or smart phones, tablets and IPads [2,3,16,18,21,22,23,24,34,35,36,40]. Twelve studies focused on games or serious games [4,5,6,7,17,19,26,27,38,41,42,45]. Nine studies in the review focused on the Internet [1,8,12,25,30,31,32,33,44].…”

Section: Overview Of the Corpusmentioning

confidence: 99%

A proposal for a unified framework for the design of technologies for people with learning difficulties

Tai-Seale

Garcia-Carrisoza

Rix

et al. 2018

TAD

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BACKGROUND: Existing generic technology design principles and guidelines are considered not to be sensitive enough to meet the needs of people with learning difficulties. OBJECTIVE: To propose a unified design framework that can inform the design of technologies for people with learning difficulties METHODS: A literature search was undertaken and the resulting papers were analysed and coded in order to identify common ideas or recommendations that could be clustered into design principles. RESULTS: Four main categories of design principles were identified: learning support, accessibility, usability and agency. A conceptual framework incorporating diversity, difference and digital inclusion offers a way to understand the consequences of applying or not applying some or all of the principles. CONCLUSIONS: A unified framework for the design of technologies for people with learning difficulties has the potential to fill the gap that more generic design guidelines cannot fill with regards to meeting the very specific needs of people with learning difficulties.

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Fostering an Entrepreneurial Mindset Through Project-Based Learning and Digital Technologies in STEM Teacher Education

DeCoito

Briona

2023

Integrated Science

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Designing a Kinect2Scratch Game to Help Teachers Train Children with Intellectual Disabilities for Pedestrian Safety

Cited by 5 publications

References 3 publications

Evaluation of Full-Body Gestures Performed by Individuals with Down Syndrome: Proposal for Designing User Interfaces for All Based on Kinect Sensor

Evaluation of Full-Body Gestures Performed by Individuals with Down Syndrome: Proposal for Designing User Interfaces for All Based on Kinect Sensor

A proposal for a unified framework for the design of technologies for people with learning difficulties

Fostering an Entrepreneurial Mindset Through Project-Based Learning and Digital Technologies in STEM Teacher Education

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