Litcius/Paper detail

Making Data Tangible: A Cross-disciplinary Design Space for Data Physicalization

S. Sandra Bae, Clement Zheng, Mary Etta West, Ellen Yi–Luen, Samuel Huron, Danielle Albers Szafir

2022CHI Conference on Human Factors in Computing Systems113 citationsDOIOpen Access PDF

Abstract

Designing a data physicalization requires a myriad of different considerations. Despite the cross-disciplinary nature of these considerations, research currently lacks a synthesis across the different communities data physicalization sits upon, including their approaches, theories, and even terminologies. To bridge these communities synergistically, we present a design space that describes and analyzes physicalizations according to three facets: context (end-user considerations), structure (the physical structure of the artifact), and interactions (interactions with both the artifact and data). We construct this design space through a systematic review of 47 physicalizations and analyze the interrelationships of key factors when designing a physicalization. This design space cross-pollinates knowledge from relevant HCI communities, providing a cohesive overview of what designers should consider when creating a data physicalization while suggesting new design possibilities. We analyze the design decisions present in current physicalizations, discuss emerging trends, and identify underlying open challenges.

Topics & Concepts

Artifact (error)Computer scienceCross disciplinaryData scienceBridge (graph theory)Space (punctuation)Context (archaeology)Construct (python library)Human–computer interactionDisciplineKey (lock)Artificial intelligenceSociologyPaleontologyComputer securityInternal medicineProgramming languageBiologyMedicineOperating systemSocial scienceInnovative Human-Technology InteractionInteractive and Immersive DisplaysData Visualization and Analytics