Data Portraits
Bibliographic Data
| ID | 3526022 |
|---|---|
| Authors | Judith Donath (Dana-Farber/Harvard Cancer Center, corresponding author), Alex Dragulescu (corresponding author), Aaron Zinman (corresponding author), Fernanda Viégas (0000-0002-5960-7312, Rogers (United States), corresponding author), Rebecca Xiong (Chestnut Hill College, corresponding author) |
| Year | 2010 |
| Volume | 43 |
| Issue | 4 |
| Pages | 375-383 |
| Publication date | 2010-08-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Leonardo (JOURNAL) |
| Journal identifiers | ISSN: 0024-094X • E-ISSN: 1530-9282 |
| Publisher | MIT Press - Journals (PUBLISHER) |
| DOI | 10.1162/leon_a_00011 |
| OpenAlex | W4234333274 |
| Language | EN |
| Citations received | 4 |
Data portraits depict their subjects' accumulated data rather than their faces. They can be visualizations of discussion contributions, browsing histories, social networks, travel patterns, etc. They are subjective renderings that mediate between the artist's vision, the subject's self-presentation, and the audience's interest. Designed to evocatively depict an individual, a data portrait can be a decorative object or be used as an avatar, one's information body for an online space. Data portraits raise questions about privacy, control, aesthetics, and social cognition. These questions become increasingly important as more of our interactions occur online, where we exist as data, not bodies
Art · Avatar · Human–computer interaction · Object (grammar) · Portrait · Presentation (obstetrics) · Space (punctuation) · Subject (documents) · Visual arts · World Wide Web · Artificial Intelligence · Computer Science · Data Visualization and Analytics
| Citations per year | 0.29 |
|---|---|
| Citation span | 2012 - 2025 (14) |
| Highly cited | No |