Oğuz ‘Oz’ Buruk, Çağlar Genç, İhsan Ozan Yıldırım, Mehmet Cengiz Onbaşlı, Oğuzhan Özcan
CHI ’21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, May 2021
Smart-jewelry design has many layers such as comfort, ergonomics, fashionability, interactivity and functionality that create a complex design process, making the form exploration challenging. Various wearable prototyping tools were developed to overcome this challenge; however, they are usually textile-based and do not target smart jewelry design. To bridge this gap, we developed Snowflakes that differentiates from existing tools by 1) allowing designers to explore different jewelry forms, 2) incorporating external materials such as leather, 3) creating form factors that fit body parts with flexible connectors. In this paper, we explain the design process of Snowflakes which is inspired by 7 design parameters (limbs, materials, grip, fastener, decoration, placement, form) extracted through the examination of non-smart jewelry. We also demonstrate three reimplementations and design concepts implemented with Snowflakes. Our exploration with Snowflakes contributes to the wearable community in terms of smart-jewelry visual expressions, interaction modalities, and merger of traditional and computational materials.
Buruk, O. O., Genç, Ç., Yıldırım, İ. O., Onbaşlı, M. C., & Özcan, O. (2021, May). Snowflakes: A Prototyping Tool for Computational Jewelry. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-15).