This SIG explores methods and data collection for inclusive design, focusing on evaluating industry-relevant use cases through visual cues and preparing data for machine learning.
Using data in product design isn’t new, but the current “data tsunami” presents challenges. The emphasis is on using data intelligently to improve design outcomes. Data-Informed Design differs from Data-Driven Design by treating data as one input among many. This SIG explores methods and data collection for inclusive design, focusing on evaluating industry-relevant use cases through visual cues and preparing data for machine learning.
The Data-Informed Design SIG aims to establish a foundation for understanding how data can enhance perceived and design quality. It investigates the role of data within design processes and identifies the organisational changes required to support data-informed approaches. The SIG also explores how divergent and convergent thinking differ across design contexts, and analyses the relationship between multi-modal user experiences and product requirements, with particular attention to perceived material quality. In addition, it examines the application of shape intuition in automated design processes.
Stay up to date with the latest news by checking our website and joining our LinkedIn group, "SIG Data-Informed-Design." You can also attend webinars, online workshops, and virtual meetups organized by the SIG, which offer great opportunities to connect with other members. Look out for SIG sessions or booths at relevant conferences and workshops, and feel free to contact us anytime via email.
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We have a wide array of SIGs, that are constantly evolving. If you don't see a SIG in your research area, why not create one? The Design Society is open to proposals and may provide funding!
