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Emmanuel Pietriga

Has grant

Part-time Professor (PCC)

Université Paris-Saclay
Country flagFrance

Research Interests

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About

Emmanuel Pietriga is an Associate Professor at Université Paris-Saclay in France. His research focuses on human-computer interaction, particularly in augmented reality and interactive surfaces. Recent publications include investigations into hand-tracking for augmented reality input and content annotation using AR glasses. He also explores visual data representation through dynamic hypergraphs and set-based exploration of linked data.

Recent Grants

Grant: Open

Continuum

Open Date: 2021-01-01

Close Date: 2029-12-01

Grant: Close

Cherenkov Telescope Array - Operations Monitoring and Control User Interfaces

Open Date: 2018-06-01

Close Date: 2026-10-01

Grant: Close

Exploratory visualization of linked data for the Bibliothèque nationale de France

Open Date: 2018-01-01

Close Date: 2018-01-01

Grant: Close

Large Synoptic Survey Telescope - Operations Monitoring and Control User Interfaces

Open Date: 2017-01-01

Close Date: 2018-01-01

Grant: Close

Air Quality Monitoring in Korean Metropolises on Ultra-high-resolution Wall Displays

Open Date: 2017-01-01

Close Date: 2017-01-01

Articles (9)

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Spreadsheet programs for interactive surfaces have limited manipulations capabilities and are often frustrating to use. One key reason is that the spreadsheet grid creates a layer that intercepts most user input events, making it difficult to reach the cell values that lie underneath. We conduct an analysis of commercial spreadsheet programs and an elicitation study to understand what users can do and what they would like to do with spreadsheets on interactive surfaces. Informed by these, we design interaction techniques that leverage the precision of the pen to mitigate friction between the different layers. These enable more operations by direct manipulation on and through the grid, targeting not only cells and groups of cells, but values and substrings within and across cells as well. We prototype these interaction techniques and conduct a qualitative study with information workers who perform a variety of spreadsheet operations on their own data.

Year:

2024

Mobile devices such as smartphones and tablets have limited display size and input capabilities that make a variety of tasks challenging. Coupling the mobile device with Augmented Reality eyewear such as smartglasses can help address some of these challenges. In the specific context of digital content annotation tasks, this combination has the potential to enhance the user experience on two fronts. First, annotations can be offloaded into the air around the mobile device, freeing precious screen real-estate. Second, as smartglasses often come equipped with a variety of sensors including a camera, users can annotate documents with pictures or videos of their environment, captured on the spot, hands-free, and from the wearer's perspective. We present AnnotAR, a prototype that we use as a research probe to assess the viability of this approach to digital content annotation. We use AnnotAR to gather users' preliminary feedback in a laboratory setting, and to showcase how it could support real-world use cases.

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Collaborators (3)

Olivier Chapuis

CNRS

FRANCE
View details

Anastasia Bezerianos

Professor

-

FRANCE
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Caroline Appert

DR (Research Director)

CNRS

FRANCE
View details