Welcome

Once again, thank you for participating in judging of the 2024 Kioskedia International Awards .

We have received many projects this year, submitted from all over the world. We are honored to have your assistance on the jury in selecting the winners.

*The jurying window will officially open from end of Auguest, and will run Middle of November. The voting process is entirely online, and you have access to it at any time of day or night.

Please view and rate the projects in the categories assigned to you. Participants were asked to share a brief project description, up to 6 images of their choosing for architecture, interior design, lighting, furniture, industrial design and AI design categories and a single image for photography and graphic design category, and any additional information in a PDF.

Voting instructions:

Please assess each project based on its merit. Each project is evaluated on a scale of 10-100 (100 points being the highest score) and based on evaluation criteria. After casting your vote, please click "submit" to save.

* The jurors across various categories, including 1)Architecture, 2)Interior Design, 3)Industrial Design, 4)Lighting, 5)Furniture, 6)Photography, 7)Graphic design, 8)AI Generated Design, should assign scores based on 10 distinct judging criteria for each project.

Judging criteria:

1) Aesthetics

2) Creativity and Innovation

3) Concept

4) Functionality (design) / Character (Photography & Graphic)

5) Ergonomics (design) / Dialogue (Photography & Graphic)

6) Usability and Durability (Design) / Technique (Photography & Graphic)

7) Impact (User and Society)

8) Presentation

9) Marketing (Design) / Commercial Potential (Photography & Graphic)

10) Emotional Connection

Once you've finished voting on all the entries for one category, click on the next category in the list, and so forth. Also, you will be able to see the estimated works and remaining works number of each category on the main jury page.

If you need any assistance, please email at:

award@kioskedia.com

AI Design