School Simulator Application Yekudzidzisa Vana VeChikoro Chekutanga naXinyue Liu, Huicong Hu and Shumeng Hou

Dhizaini School Simulator Application Yekudzidzisa Vana VeChikoro Chekutanga naXinyue Liu, Huicong Hu and Shumeng Hou ndiye mukundi anokudzwa zvikuru wemubairo unoremekedza we2022 Mubairo weBronzi we A' Design Award muChikwata cheKukwikwidza cheDzidzo, Zvishandiso zveKudzidzisa neZvemukati zveKurovedzera.

BronziDzidzo· 2022

School Simulator Application Yekudzidzisa Vana VeChikoro Chekutanga

na Xinyue Liu, Huicong Hu and Shumeng Hou

Mutengi: Harbin Institute of Technology, Shenzhen

Mukundi weMubairo weBronzi we A' Design Award muChikwata cheDzidzo

25,803

Mukundi weMubairo Akasimbiswa

Simbisa Mamiriro eMubairo we#135852

Ona pa A' Design Award Mashoko Enhau Bheji reMubairo

Mavara

Dhizaini

Nezvekwa School Simulator Application Yekudzidzisa Vana VeChikoro Chekutanga

School Simulator ingirazi (application) yepamafoni inogadzirirwa kutsigira kudzidziso yevana vekuchikoro chekutanga vane autism spectrum disorder. Application iyi yakagadzirirwa vabereki, vadzidzisi nevanobatsira nezvekurapa (therapists). Zvidzidzo zvekudzidzisa zvinobatanidza mativi mana: kuzvichengeta, kunzwisisa mirairo, kudyidzana nevamwe, uye zuva rimwe chete muchikoro. Vana vanoita sarudzo, vachitaura nevatambi vemakartuni (cartoon characters) uye vachiratidza hunhu hwekumeso, uye tekinoroji yekuziva (recognition technology) inopa mhinduro pakarepo. Mhinduro dzisiri idzo dzinonyorwa uye dzinodzokororwa kusvikira dzava kururama. Chikamu chenharaunda (community section) chinobvumira vakuru kugoverana ruzivo neruzhinji.

Kuzivikanwa

Nezve Mubairo weBronzi we A' Design Award

Mubairo weBronzi we A' Design Award wakahwinwa ne School Simulator Application Yekudzidzisa Vana VeChikoro Chekutanga, rukudzo rwakakwirira kwazvo runopiwa kumadhizaini akasiyana anozivikanwa nekugadzira, njere nekungwara. Vakunda veBronzi mabasa ane unyanzvi hwakakwana uye kugadzira kunoshamisa kunosimbisa ruzivo rukuru, pfungwa nehunyanzvi hwevagadziri vawo. School Simulator Application Yekudzidzisa Vana VeChikoro Chekutanga inotarisirwa kuva chinhu chinokudzwa kwazvo, chinoremekedzwa uye chinodiwa, chine hunyanzvi hunoonekwa uye zvitsva. Dhizaini iyi yakahwina Mubairo weBronzi we A' Design Award inosanganisa maitiro akanakisa muhunyanzvi, sayenzi, dhizaini netekinoroji uye yakasiyana nekutarisisa zvidiki. School Simulator Application Yekudzidzisa Vana VeChikoro Chekutanga inogutsa zvinodiwa zvakanaka, inobata zvishuvo, inokwezva manzwiro uye inomutsa kuda kuziva.

Shure kweDhizaini

Bepa Renhau

Zvikwereti, nhengo dzetiimu nezvimwe zvakadzama zvakapihwa nemudhizaina.

Hunhu Hwakasiyana: 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.
Kukura & Kupakiwa: Designed for iOS system
Matagi: Interface Design, Autism Spectrum Disorder, Speech and Gesture, Pre-school Training
Tekinoroji Yekugadzira: 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.
Changamire yeDhizaini: 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.
Tsvakurudzo: 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.
Chikurudziro: 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.
Nguva yePurojekiti: The project started in October 2021 and finished in January 2022 in Shenzhen.
Mafambiro eBasa: 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.
Nhengo dzeTimu: Student: Xinyue Liu
Faculties: Huicong Hu
Shumeng Hou