DataX Ìṣiṣẹ́ Pàtàkì: Ìfojúsọ́nà Ìtúpalẹ̀ Dátà Alágbèéká láti ọwọ́ Xiaorui Zhu

DataX Ìṣiṣẹ́ Pàtàkì: Ìfojúsọ́nà Ìtúpalẹ̀ Dátà Alágbèéká láti ọwọ́ Xiaorui Zhu jẹ́ aṣẹ́gun olókìkí púpọ̀ ti 2022 Àmì-ẹ̀yẹ Irin A' Design Award nínú Ẹ̀ka Ìdíje Àpẹẹrẹ Ìmọ̀-ẹ̀rọ Alágbèéká, Ohun-èlò Fóònù àti Sọ́fítíwéà.

IrinAlágbèéká· 2022

DataX Ìṣiṣẹ́ Pàtàkì: Ìfojúsọ́nà Ìtúpalẹ̀ Dátà Alágbèéká

látọ̀wọ́ Xiaorui Zhu

Aṣẹ́gun Àmì-ẹ̀yẹ Irin A' Design Award nínú Ẹ̀ka Alágbèéká

10,040

Aṣẹ́gun Àmì Ẹ̀yẹ Tí a Jẹ́rìísí

Jẹ́rìísí Ipò Àmì Ẹ̀yẹ fún #139047

Wo ní A' Design Award Ìwé Ìròyìn Àmì Ẹ̀yẹ

Àwọ̀

Àpẹrẹ Náà

Nípa DataX Ìṣiṣẹ́ Pàtàkì: Ìfojúsọ́nà Ìtúpalẹ̀ Dátà Alágbèéká

Ọ̀rọ̀ Ìwé: DataX jẹ́ ìfojúsọ́nà alágbèéká fún àwọn ènìyàn tí ń lọ sí àwọn àpéjọ ńlá. DataX ń jẹ́ kí àwọn tí ó wà níbẹ̀ le ṣe amúlétan pẹ̀lú àkójọpọ̀ dátà tí a fihàn lórí pèpéle kí wọ́n sì lè ṣàwárí àkójọpọ̀ dátà náà lórí fóònù wọn. Àwọn irinṣẹ́ tí a kọ́ sínú rẹ̀ ń tò, ṣàyẹ̀wò, kójọ àti fi dátà hàn lóríṣiríṣi, wọ́n sì ń dábàá àwọn ọ̀nà àwòrán tí ó bá a mu. Àwọn àṣàyàn ni a fihàn nínú ọ̀nà gbólóhùn tí ó rọrùn, nítorí náà kékeré ìmọ̀ nípa ìtúpalẹ̀ ni a nílò. Àwọn fáyífáyí àti àwòrán tí a ṣàtúnṣe le pín pẹ̀lú àwọn ẹgbẹ́ olùjíròrò láti bi ìbéèrè àti láti fi èrò kún un. Ìlànà ìdásílẹ̀ yìí ní ète láti fún gbogbo àwọn tí ó wà níbẹ̀, títí kan àwọn tí ó ní àìlera ìríran tàbí ìgbọ́rọ̀, ní àǹfààní dọ́gbadọ́gba láti kópa.

Ìdánimọ̀ Náà

Nípa Àmì-ẹ̀yẹ Irin A' Design Award

DataX Ìṣiṣẹ́ Pàtàkì: Ìfojúsọ́nà Ìtúpalẹ̀ Dátà Alágbèéká jẹ́ olùborí Àmì-ẹ̀yẹ Irin A' Design Award, ìdánimọ̀ olókìkí tí a fún àwọn àwòṣe tó dára tí wọ́n pàdé àwọn ohun tí iṣẹ́ àti ilé-iṣẹ́ nílò tí a retí láti ọ̀dọ̀ àwọn ẹ̀dá tí a ṣàwòṣe dáradára. Àwọn olùborí Irin ń fi ìjáfáfá ńlá, ìmọ̀ pàtó gíga, òye ògbóǹtarìgì àti agbára ìṣẹ̀dá àwọn olùṣẹ̀dá wọn hàn. A retí pé DataX Ìṣiṣẹ́ Pàtàkì: Ìfojúsọ́nà Ìtúpalẹ̀ Dátà Alágbèéká yóò jẹ́ ẹ̀dá tí a kà sí gidigidi, tí a gbóríyìn fún tí a sì nífẹ̀ẹ́, tó wúlò tó sì ní ìmúṣẹ̀dá tuntun. Àwòṣe tó borí Àmì-ẹ̀yẹ Irin A' Design Award yìí ń kó àwọn ọ̀nà tó dára jùlọ ilé-iṣẹ́ jọ, ó sì ní àwọn ànímọ́ ìmọ̀-ẹ̀rọ tó péye tí a so mọ́ ìmọ̀ ṣíṣe àti ẹ̀bùn. A bọ̀wọ̀ fún DataX Ìṣiṣẹ́ Pàtàkì: Ìfojúsọ́nà Ìtúpalẹ̀ Dátà Alágbèéká nítorí ìfọ̀kànbalẹ̀ rẹ̀, a sì ṣàwòṣe rẹ̀ láti pèsè ìmúdára ìgbésí ayé tó ń ran ayé lọ́wọ́ láti di ibi tó dára jù.

Lẹ́yìn Àpẹrẹ Náà

Àkójọ Ìròyìn

Àwọn ẹ̀tọ́, àwọn ọmọ ẹgbẹ́ àti àlàyé ìmọ̀ ẹ̀rọ tí olùṣàpẹrẹ pèsè.

Àwọn Ohun Àkànṣe: It's the first APP that allows attendees to play with the real-time on-stage dataset, create inspiring visualizations, and bring their ideas to other attendees and even speakers. It aims to provide equal opportunities to all attendees, including those who have vision problems, who are deaf-mutes, and who are unconfident on social networking, to learn and shine.
Ìwọ̀n àti Àpò: The APP can work for mobile screen sizes from 375x667(iPhone 8) to 428x926(iPhone 13 Max) and should be compatible with both iOS and Android systems. The APP can be downloaded by scanning the QR code and being redirected to the link created by the conference organizers. It's primarily for mobile devices for allowing attendees to have handy tools and guidebooks of the conference without the need of bringing their bulky laptops.
Àwọn Àkọlé: Interaction Design, Mobile Application, UX Design, Data Analytics Tool, Digital Service Design
Ìmọ̀-ẹ̀rọ Ìṣelọ́pọ̀: This APP features a powerful data analytics tool that automatically extracts and categorizes the variables of presented datasets (csv. format) into option buttons, and presented to attendees in a human language structure "I want to (measuring method) (measuring object) in (condition)". For the visualization feature, the APP will recommend the most suitable chart styles based on the nature of the dataset to attendees and allow them to merge duo datasets into one.
Ìpèníjà Àpèsè: There are no similar products on the market so nearly nothing to refer to. Also, most analytical tools are not friendly for small screens, so I ran research to understand what's the core features and how to make them intuitive for attendees with little analytics background. Recruiting testing participants was also hard because I had to try to include as many types of attendees as I can, including but not limited to disables, seniors, non-analytics-proficient users, deaf and mutes, etc.
Ìwádìí: I conducted qualitative and quantitative research on real attendees and organizers. Methodologies used include focus groups, questionnaires, and user journey mapping. After initial research, I also conducted several runs of moderated usability testing with prototypes and well-designed tasks with participants to guide the iterations. Tools used include Sketch, Adobe XD, Airtable, Balsamiq, Google Doc, etc.
Ìmísí: During a large conference, attendees have common frustrations including cannot sync to the content presented on stage (if being late), no way to validate speakers' opinions, feeling difficulty interacting with other unknown attendees, and building up post-conference networking. This design aims to solve these problems to bring attendees a seamless experience and allow them to contribute to the social topics that are discussed at the conference.
Àkókò Iṣẹ́ Àkànṣe: The project started in Aug 2021 and finished in Feb 2022 in New York City.
Ìlànà Ìṣiṣẹ́: Attendees can find what ongoing panels of this conference and in which rooms are they on the dashboard. Then sync to the slide that's being presented on stage with their phone, and they can magnify to edit, then share the edited slide to the hub and ask questions to get help from other attendees. With the built-in analytical tool, attendees can also sort, filter, aggregate, and visualize the speaker's dataset and share their ideas to the panel group to make contributions and impact.