Overview
Data physicalization encodes data in a physical object whose geometry or material carries the information. The field was named in 2015 (Jansen et al.), but the practice is at least 10,000 years old. Compared with a screen, a physical encoding gives up refresh rate in exchange for weight, touch, and presence in a room.Examples
- Dear Data (2014 to 2015), 104 hand-drawn postcards of personal data exchanged weekly between New York and London (Lupi and Posavec)
- Nathalie Miebach's reed basketry sculptures of weather buoy and hurricane records
- inFORM (2013), the MIT Tangible Media Group's table of 900 motorized pins that renders data and remote hands as a physical surface
- Domestic Data Streamers' installations in which visitors add threads, tokens, or balloons and a dataset accumulates in public
- Loren Madsen's sculptures of economic and demographic time series in wood and steel, made since the 1990s
Definition and History
A data physicalization is "a physical artifact whose geometry or material properties encode data" (Jansen et al., 2015). The definition admits sculpture, shape-changing displays, and participatory installations, and excludes charts, projections, and screens, where data is drawn on a neutral surface. The List of Physical Visualizations, maintained online since 2012, catalogs several hundred examples from 5500 BCE to the present (Dragicevic and Jansen). The list shows that the practice recurs across cultures and periods.
Tokens, Cords, and Charts
Clay tokens found across the Near East from about 8000 BCE recorded quantities of grain, oil, and animals, each shape standing for a commodity (Schmandt-Besserat). Sealed in clay envelopes and later pressed into their surfaces, the tokens preceded cuneiform by several thousand years. The Inca quipu recorded census and tribute in knotted cords, with knot type, position, and color as the encoding; several hundred survive. Marshallese navigators built stick charts from palm ribs and shells to map swell patterns between atolls, then left them ashore and sailed from memory. Each of these systems was read by hand as much as by eye.
Scientific Models
The thermodynamic surface of water, described in equations in 1873, was modeled in clay and cast in plaster the following year so that its curvature could be read by hand rather than computed point by point (Gibbs, 1873; Maxwell, 1874). Through the 1930s, relief models of functions with too many variables to plot on paper were built in statistics and engineering laboratories and consulted the way a table of values would be. These models were used as instruments rather than as illustrations.
Current Work
Since about 2000 the work has run along three lines: made by hand, driven by motors, and printed from a file.
Handmade Work
Reed basketry can carry weather buoy and hurricane records, with each woven element a reading and the weave pattern the timeline; the same Hurricane Sandy data has also been scored as music (Miebach). Economic and demographic series, including the US prison population, have been cut in wood and steel since the 1990s, so that the rise and fall of a number becomes a profile at room scale (Madsen). Dear Data (2014 to 2015) was 104 postcards exchanged between New York and London, each a week of hand-counted personal data drawn in a legend invented for that week (Lupi and Posavec). Participatory installations in which visitors add threads, tokens, or balloons let a dataset accumulate in public, so that the act of answering is also the act of charting (Domestic Data Streamers). It is human-scale craft applied to counting.
Shape-Changing Displays
inFORM (2013) is a table of 900 motorized pins that renders 3D data, pushes objects around, and reproduces a remote user's hands (Follmer, Leithinger, and Ishii). Relief (2009) and TRANSFORM (2014) pursued the same idea at other scales, and all three run into the same limit: each pin is an actuator, so resolution is limited by the number of motors. EMOTO (2012) milled the sentiment of Twitter messages about the London Olympics into a physical relief (Stefaner, Hemment, and Studio NAND). This work sits between spatial interfaces and embodied computation, in which the material does part of the computing.
3D Printing
The same 3D bar charts, shown on screen and as printed objects, were read more efficiently in physical form, and the advantage shrank when touching the object was forbidden (Jansen, Dragicevic, and Fekete, 2013). Tactile maps and printed models now give blind readers direct access to spatial data, and open tools turn a spreadsheet into a printable model. The evidence suggests that handling a chart changes how it is understood, though the studies so far are small.
Why Physical Form Matters
The claim that cognition is shaped by bodily action (Varela, Thompson, and Rosch, 1991) underwrites most of the physicalization literature. A physical encoding also forces decisions a screen avoids: scale, permanence, substance. Glacial retreat rendered in ice or timber consumption in wood makes the material part of the argument, which is material intelligence applied to information. Objects cannot refresh every second, cannot be filtered or zoomed, and a million rows have no physical form a room can hold. The case for slow, imperfect, personal data against the dashboard has been made explicitly (Lupi, 2017), and a physical object is the slowest form of data display. It also occupies a room, and people gather around it. Screens tend to be read individually, while objects are read in groups.
Open Questions
Participatory physicalization, in which communities build a representation of their own data from beads or blocks, has been used in public health and urban planning. It belongs with artisanal technology in the sense that the instrument is made by the people who use it. For work with reclaimed material, one approach is to represent a material flow in the material itself. A building's embodied carbon can be stacked as the brick it stands for; a watershed's flow can be cast in its own sediment. The open questions from the 2015 agenda remain open: how to evaluate rigorously, how to design for materials that change, how to make dynamic displays affordable, and what to do with an object holding someone's data once they no longer want it.