(a) Situated visualization concepts for fitness and food (by Wesley Willett); (b) Cairns invites Fablab visitors to record their activities using wooden tiles (by Pauline Gourlet); (c) Teegi is a physical puppet displaying brain activity in real-time (by Jérémy Frey et al.); (d) Moodwall reacts to the movement of passers-by dynamic light changes (by Studio Klink et al.) ; (e) Infotropism is a group of living plants showing the usage frequency of a nearby recycling bin (by David Holstius et al.) Click on each image for more info.
What is Ember?
Ember is a project funded by ANR (Agence Nationale de la Recherche) that joins the efforts of three French teams known for their research in human-computer interaction and information visualization:
- The Aviz team at Inria Saclay (Paris area),
- The HCI Sorbonne group at Sorbonne Université (Paris),
- The Potioc team at Inria Bordeaux.
The goal of the project will be to study how embedding data into the physical world can help people get insights into their own data. While the vast majority of data analysis and visualization takes place on desktop computers located far from the objects or locations the data refers to, in situated and embedded data visualizations, the data is directly visualized near the physical space, object, or person it refers to. The project will be funded from 2020 to 2023.
Keywords: information visualization, human-computer interaction, personal data, user interface evaluation, augmented reality, ubiquitous computing, physical visualization, data physicalization, immersive analytics.
The Ember project is hiring four Master interns and four PhD students for 2020:
- Two Master internships advised by Petra Isenberg and Pierre Dragicevic in the Aviz team, starting February/March 2020.
- Visualization in Motion (Petra Isenberg)
Personal Traces (Pierre Dragicevic). This position has been filled.
- One Master internship advised by Yvonne Jansen in the HCI Sorbonne team, starting March 2020.
Situated Personal Time Management.This position has been filled.
- One Master internship advised by Martin Hachet in the Potioc team, starting March 2020.
- One PhD student on the topic of situated visualization in motion advised by Petra Isenberg in the Aviz team, starting October 2020.
- One PhD student advised by Yvonne Jansen in the HCI Sorbonne team, starting October 2020.
- One PhD student on the topic of immersive visualizations of personal data advised by Martin Hachet in the Potioc team, starting October 2020.
- One post-doc on the topic of visualizing personal traces advised by Pierre Dragicevic in the Aviz team, starting April 2020.
The PhD students will have the opportunity to collaborate and travel between the three sites (Paris, Saclay, Bordeaux) and to intern with Wesley Willett or Lora Oehlberg at the University of Calgary, Canada. International students are welcome. English proficiency required, Speaking French not required.
Four more Master internships will open on 2021 and 2022.
For complementary information, please contact pierre.dragicevic [at] inria.fr. You may also directly contact the advisors listed above.
The Ember project will study how situated data visualization systems can help people use their personal data (e.g., fitness and physiological data, energy consumption, banking transactions, online social activity,…) for their own benefit. Although personal data is generated in many areas of daily life, it remains underused by individuals. Rarely is personal data subjected to an in-depth analysis and used to inform daily decisions. This research aims to empower individuals to improve their lives by helping them become advanced consumers of their own data.
This research builds on the area of personal visual analytics, which focuses on giving the general public effective and accessible tools to get insights from their own data. Personal visual analytics is a nascent area of research, but has so far focused on scenarios where the data visualization is far removed from the source of the data it refers to. The goal of this project is to address the limitations of traditional platforms of personal data analytics by exploring the potential of situated data visualizations.
In a situated data visualization, the data is directly visualized near the physical space, object, or person it refers to. Situated data visualizations have many potential benefits: they can surface information in the physical environment and allow viewers to interpret data in-context; they can be tailored to highlight spatial connections between data and the physical environment, making it easier to make decisions and act on the physical world in response to the insights gained; and they can embed data into physical environments so that it remains visible over time, making it easier to monitor changes, observe patterns over time and collaborate with other people.
Although the topic of situated visualization is currently gaining traction in research, currently very few real applications exist, and little empirical data is available on how to design such systems. We will address this gap by building functional prototypes whose utility will be evaluated using rigorous empirical methods, and by deriving theories and general design guidelines that extend beyond the problem areas considered.
The overall research program will be broken down into four research problems led by five researchers from three research labs (Inria Saclay, Inria Bordeaux, Sorbonne Université) with complementary areas of expertise. The consortium will be completed by graduate students, a postdoctoral researcher and short-term interns to work on four specific research problems and develop the hardware and software necessary for the successful completion of the project.
This project is expected to generate benefits at multiple levels, including to society (by empowering individuals with technology), to the scientific community (by extending and unifying two nascent research areas), to the academic partners (by reinforcing existing research links and establishing them as leaders on the topic), and to students (by providing them with unique training opportunities with a diverse team of world-class researchers).