Abstract
Immersive Analytics is concerned with the design and evaluation of interactive next-generation interfaces that support human understanding, data analysis, and decision making. New immersive technologies present many opportunities for enhancing humans' experiences with data interaction, but also present many challenges, a subset of which are specific to the analytics domain. This workshop is centered around a set of group prototyping sessions, aimed at identifying new approaches to existing design challenges. In addition to giving perspective on opportunities and difficulties faced by future designers, these exercises will also explore new prototyping methods and tools for the design of interactive data-centric interfaces. This part-day workshop aims to build new ties between the existing immersive analytics community with researchers across many disciplines of the CHI community.
| Original language | English |
|---|---|
| Title of host publication | Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems |
| Place of Publication | New York, NY, USA |
| Publisher | ACM |
| Pages | W21:1-W21:8 |
| Number of pages | 8 |
| ISBN (Print) | 978-1-4503-5971-9 |
| DOIs | |
| Publication status | Published - 2 May 2019 |
| Event | ACM CHI Conference on Human Factors in Computing Systems 2019 - Glasgow, United Kingdom Duration: 4 May 2019 → 9 May 2019 https://chi2019.acm.org/ |
Publication series
| Name | CHI EA '19 |
|---|---|
| Publisher | ACM |
Conference
| Conference | ACM CHI Conference on Human Factors in Computing Systems 2019 |
|---|---|
| Abbreviated title | CHI 2019 |
| Country/Territory | United Kingdom |
| City | Glasgow |
| Period | 4/05/19 → 9/05/19 |
| Internet address |
Keywords / Materials (for Non-textual outputs)
- augmented reality
- data visualization
- immersive analytics
- situated analytics
- spatial interactions
- virtual reality