School Simulator 學前訓練應用程式 by Xinyue Liu, Huicong Hu and Shumeng Hou is a highly esteemed winner of the very prestigious 2022 A' Design Award 銅獎 in 教育設計 Competition Category.
銅教育· 2022
School Simulator 學前訓練應用程式
by Xinyue Liu, Huicong Hu and Shumeng Hou
Client: Harbin Institute of Technology, Shenzhen
A' Design Award 銅獎 Winner in 教育 Category
Verified Award Winner
Verify Award Status for #135852The Design
About School Simulator 學前訓練應用程式
《校園模擬器》係一款專為支援自閉症譜系障礙兒童進行學前訓練而設計嘅手機應用程式。呢個應用程式主要面向家長、教師同治療師使用。訓練課程涵蓋四大範疇：自理能力、指令理解、人際互動，以及模擬上學一日流程。小朋友喺應用程式入面作出選擇、同卡通角色對話，並展示面部表情，識別技術會即時提供反饋。答錯嘅回應會被記錄低,並重複練習直到答啱為止。應用程式仲設有社群專區,方便家長同專業人士互相分享經驗。
The Recognition
About the A' Design Award 銅獎
School Simulator 學前訓練應用程式是 A' Design Award 銅獎得主，這是授予以創造力、獨創性和敏銳見長的傑出設計的極具聲望的認可。銅獎得主是技藝嫻熟、創意驚人的作品，印證了其設計師豐富的經驗、想像力與機智。預計School Simulator 學前訓練應用程式將成為一件備受推崇、令人欽佩且被珍愛的物品，兼具顯著的專業性與創新性。這件贏得 A' Design Award 銅獎的設計融入藝術、科學、設計和技術領域的最佳實踐，並因注重細節而出類拔萃。School Simulator 學前訓練應用程式出色地滿足需求，觸動渴望，迷住情感，並吸引好奇心。
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- School Simulator is an app aiming at supporting parents, teachers and therapists to give preschool training of children with autism spectrum disorder. It mainly contains two parts: preschool training and community communication. Autistic children can get trained in four categories, self care, instruction understanding, interpersonal interaction, and one day in school, which are expected helpful for their future integration into inclusive classes.
- Dimensions & Packaging
- Designed for iOS system
- Tags
- Interface Design, Autism Spectrum Disorder, Speech and Gesture, Pre-school Training
- Production Technology
- Desk research, field studies, focus group interviews, consumer journey map, and collage activities were conducted for the demand analysis part. Figma, Adobe Photoshop and Illustrator were used for the interfaces and interaction design in the project realization.
- Design Challenge
- The design activity met two challenges: the integration of various training needs, and the design of training lessons. First, though all target autistic children, each of them met different problems in daily life, requiring the variety of content and intensity. Therefore, on the basis of four general training categories, various lessons are provided for users to choose accordingly. Second, since these young children can hardly concentrate for a long period, lessons must be succinct in content, interesting in form, and filled with interactive practice, therefore enhancing the training effectiveness.
- Research
- We first conducted a desk research, gathering preliminary information towards the autistic children and their common problems in the inclusive education. Second, through a field study, we recorded these children’s emotional problems and behavioral disorders, and observed some intervention methods used. Third, in depth interviews were conducted with experts in autistic research, which made our design focus on the preschool training. Fourth, we made the one-day journey map of a primary school student, exploring various context autistic children may have trouble in, therefore guided the design of training lessons. Finally, we recruited preschool autistic children and collected their preference of colors and cartoon characters via collage activity, used as the reference in the interfaces and characters design. The interfaces and training lessons were constantly iterated in the later evaluations.
- Inspiration
- School Simulator was inspired by the special needs of autistic children in the inclusive education. In an inclusive school, these children can sit in the same classrooms and join learning activities together with their typically developing peers. However, due to the disorder of emotion and social behavior, it always takes them longer time to get used to the schedule and environment around. We realized the meaningful effects of preschool training for the autistic children.
- Project Duration
- The project started in October 2021 and finished in January 2022 in Shenzhen.
- Operation Flow
- Once the app is launched, users can freely choose training lessons for their children, or communicate with others. In each training lesson, children are encouraged to make choices, talk to cartoon characters, and show specified facial expressions based on the context or cues. The built-in algorithms of speech recognition and facial expression recognition can provide quick and accurate feedback to their responses. Once a wrong response is detected, the corresponding training part will be automatically recorded while encouraging the child to redo it till correct. In addition, users can view the training history with accuracy records and make notes at any time.
- Team Members
- Student: Xinyue Liu
Faculties: Huicong Hu
Shumeng Hou
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