2024Activity reportProject-TeamILDA

3.1 Novel Forms of Display for Groups and Individuals

Participants: Caroline Appert, Anastasia Bezerianos, Olivier Chapuis, Vanessa Peña-Araya, Emmanuel Pietriga, Arnaud Prouzeau, Arthur Fages, Mengfei Gao, Ludovic David, Olivier Gladin, Celine Deivanayagam, Abel Henry-Lapassat, Doaa Hussien Yassien.

Data sense-making and analysis is not limited to individual users working with a single device, but increasingly involves multiple users working together in a coordinated manner in multi-display environments involving a variety of devices. We investigate how to empower users working with complex data by leveraging novel types of displays and combinations of displays, designing visualizations adapted to their capabilities: ultra-high-resolution wall-sized displays ((Figure 1-d)), augmented reality glasses ((Figure 1-a & b)), pen + touch interactive surfaces ((Figure 1-c)), handheld devices such as smartphones and tablets ((Figure 1-a & b)), desktop workstations and laptops.

Being able to combine or switch between representations of the data at different levels of detail and merge data from multiple sources in a single representation is central to many scenarios. The foundational question addressed here is what to display when, where and how, so as to provide effective support to users in their data understanding and manipulation tasks. We target contexts in which workers have to interact with complementary views on the same data, or with views on different-but-related datasets, possibly at different levels of abstraction, and with a particular interest for multi-variate data ((Figure 1-c)) that have spatio-temporal attributes.

Our activity in this axis focuses on the following themes: 1) multi-display environments that include not only interactive surfaces such as wall displays but Augmented Reality (AR) as well; 2) the combination of AR and handheld devices; 3) geovisualization and interactive cartography on a variety of interactive surfaces including desktop, tabletop, handheld and wall displays.

Projects in which we research data visualization techniques for multi-display environments and for ultra-high-resolution wall-sized displays in particular often involve geographical information 46 (Figure 1-d). But we also research interaction and visualization techniques that are more generic. For instance we study awareness techniques to aid transitions between personal and shared workspaces in collaborative contexts that include large shared displays and desktops 48. We also investigate the potential benefits of extending wall displays with AR, for personal+context navigation 40 or to seamlessly extend the collaboration space around wall displays 6.

Augmented Reality, as a novel form of display, has become a strong center of attention in the team. Beyond its combination with wall displays, we are also investigating its potential when coupled with handheld displays such as smartphones or tablets. Coupling a mobile device with AR eyewear can help address some usability challenges of both small handheld displays and AR displays. AR can be used to offload widgets from the mobile device to the air around it ((Figure 1-b)), for instance enabling digital content annotation 35 ((Figure 1-a)).

Relevant publications by team members this year: 11, 18, 20, 21, 26, 25, 27.

3.2 Novel Forms of Input for Groups and Individuals

Participants: Caroline Appert, Olivier Chapuis, Emmanuel Pietriga, Arnaud Prouzeau, Arthur Fages, Julien Berry, Vincent Cavez, Camille Dupré, Xinpei Zheng, Ludovic David, Olivier Gladin, Abel Henry-Lapassat.

The contexts in which novel types of displays are used often call for novel types of input. In addition, the interactive manipulation of complex datasets often calls for rich interaction vocabularies. We design and evaluate interaction techniques that leverage input technologies such as tactile surfaces, digital pens, 3D motion trackers and custom physical controllers built on-demand.

We develop input techniques that feature a high level of expressive power, as well as techniques that can improve group awareness and support cooperative tasks. When relevant, we aim to complement – rather than replace – traditional input devices such as keyboards and mouse, that remain very effective in contexts such as the office desktop.

We aim to design rich interaction vocabularies that go beyond what current interactive surfaces offer, which rarely exceeds five gestures such as simple slides and pinches. Designing larger interaction vocabularies requires identifying discriminating dimensions in order to structure a space of manipulations that should remain few and simple, so as to be easy to memorize and execute. Beyond cognitive and motor complexity, the scalability of vocabularies also depends on our ability to design robust recognizers that will allow users to fluidly chain simple manipulations that make it possible to interlace navigation, selection and manipulation actions. We also study how to further extend input vocabularies by combining multiple modalities, such as pen and touch, or mid-air gestures and tangibles. Gestures and objects encode a lot of information in their shape, dynamics and direction. They can also improve coordination among actors in collaborative contexts for, e.g., handling priorities or assigning specific roles to different users.

In recent years, there has been a tendency in the HCI community to uncritically rely on machine learning (ML) to solve user input problems. While we acknowledge the power and potential of AI to solve a broad range of problems, we are rather interested in trying to devise interaction techniques that are less resource-intensive and that do not require training the system. We tend to rely on analytical approaches rather than on ML-based solutions, using those as a last resort only.

Our activity in this axis focuses on the following themes: 1) direct manipulation on interactive surfaces using a combination of pen and touch; 2) tangible input for wall displays; 3) input in immersive environments with a strong emphasis on Augmented Reality (AR), either in mid-air or combined with a handheld device.

We investigate how pen and touch can be best combined to facilitate different tasks and activities: document annotation, where pen+touch techniques are used to make room for in-context annotations by dynamically reflowing documents 9 ((Figure 2-a)); heterogeneous dataset exploration and sensemaking 52, where that combination of modalities enables users to seamlessly transition between exploring data and externalizing their thoughts.

Following-up on earlier work in the team about tangible interaction using passive tokens on interactive surfaces 43, 42, 30, we investigate tangible interaction on vertical displays. Tangibles can enrich interaction with interactive surfaces, but gravity represents a major obstacle when interacting with a vertical display. We design solutions to this problem 4 ((Figure 2-c)), seeking to enable manipulations on vertical screens, in the air, or both 32.

As mentioned earlier, Augmented Reality is becoming a strong center of attention in the team as a display technology. Our research is not only about how to display data in AR, but how to interact with these data as well. For instance we study the concept of mid-air pads 1 ((Figure 2-b)) as an alternative to gaze or direct hand input to control a pointer in windows anchored in the environment (similar to the window-based UI showcased by Apple for the upcoming Vision Pro). Supporting indirect interaction, ARPads allow users to control a pointer in AR through movements on a mid-air plane.

When used in combination with another device, AR enables displaying additional information in the physical volume around that device. But AR also enables using that volume to interact with the device, providing new input possibilities, as we have started investigating with the design and evaluation of AR-enhanced widgets for smartphones 31. The AR technology is not only used to offload widgets from the phone to the air around it, but to give users more control on input precision as well.

Relevant publications by team members this year: 5, 12, 13, 17, 16.

3.3 Interacting with Spatio-Temporal Data

Participants: Caroline Appert, Anastasia Bezerianos, Olivier Chapuis, Vanessa Peña-Araya, Emmanuel Pietriga, Arnaud Prouzeau, Maria Lobo, Mehdi Rafik Chakhchoukh, Ludovic David, Olivier Gladin, Celine Deivanayagam, Noemie Hanus, Doaa Hussien Yassien, Omi Johnson, Maryatou Kante, Chuyun Ma, Briggs Twitchell.

Research in data management is yielding novel models that enable diverse structuring and querying strategies, give machine-processable semantics to the data and ease their interlinking. This, in turn, yields datasets that can be distributed at the scale of the Web, highly-heterogeneous and thus rich but also quite complex. We investigate ways to leverage this richness from the users' perspective, designing interactive systems adapted to the specific characteristics of data models and data semantics of the considered application area.

The general research question addressed in this part of our research program is how to design novel interaction techniques that help users manipulate their data more efficiently. By data manipulation, we mean all low-level tasks related to manually creating new data, modifying and cleaning existing content (data wrangling), possibly merging data from different sources.

We envision interactive systems in which the semantics and structure are not exposed directly to users, but serve as input to the system to generate interactive representations that convey information relevant to the task at hand and best afford the possible manipulation actions.

Our activity in this axis focuses on the following themes: 1) browsing webs of linked data; 2) visualization of multivariate networks; 3) visualization of hypergraphs; 4) visualization for decision making.

Early work in the team had focused on enabling users to explore large catalogs of linked data 47 by querying dataset metadata and contents originating from multiple sources; and interactive systems that let users explore the contents of those linked datasets. We work on new navigation paradigms, for instance based on the concept of semantic paths (SWJ, 34) which create aggregated views on collections of items of interest by analyzing the chains of triples that constitute knowledge graphs and characterizing the sets of values at the end of the paths formed by these chains.

While a central idea of the above system is to display information without ever exposing the underlying semi-structured directed labeled graph, we also research novel ways to visualize and manipulate multivariate networks represented as such ((Figure 1-c)), as there are contexts in which the structure of the data – knowledge graphs or else – is important to convey. To this end, we investigate novel ways to represented complex structures and visually encode the attributes of the entities that compose these structures. This can be, e.g., using motion as an encoding channel for edge attributes in multivariate network visualizations 49, 51. Or it can be by letting users build representations of multivariate networks incrementally using expressive design techniques 50 (Figure 1-c).

Multivariate networks and knowledge graphs are very expressive data structures that can be used to encode many different types of data. They are sometimes not sufficient, however. In some situations, even more elaborate structures are required, such as hypergraphs, which enable relating more than two vertices with a single edge and are notoriously difficult to visualize. We investigate visualization techniques for data modeled as hypergraphs, for instance in the area of data journalism by generalizing Storyline visualizations to display the temporal evolution of relationships involving multiple types of entities such as, e.g., people, locations, and companies 7, 39 (Figure 3-a).

As mentioned above, interactive cartography has been an active topic in the team since 2015 when we started a collaboration with IGN – the French national geographic institute. Project MapMuxing was about interactive cartography on a variety of surfaces, including tabletops 10 and wall displays 46, but on desktop workstations as well. Since then, our work has expanded to include geovisualization. We investigate research questions about the display of multivariate data that have a spatial – and sometimes temporal – component 8 (Figure 3-b) and that evolve over time 44 (Figure 3-c).

In this research axis we also investigate visualization to support decision making. While the above projects mostly consider visualization for the purpose of data exploration, the visual representation of data can also be an effective tool for promoting situation awareness and helping subject-matter experts make decisions. The design and development of user interfaces for major astronomical observatories – which dates back to 2009 with ALMA and is still on-going with CTA (Cherenkov Telescope Array) – has been and still is an important part of our research & development activities. But we also investigate this broad topic in other contexts. For instance, as part of a long-term collaboration with INRAe about the design of trade-off analysis systems 3 for experts in domains such as agronomy or manufacturing (Figure 3-d).

Relevant publications by team members this year: 11, 14, 15, 23, 24.

4.1 Mission-critical Systems

Mission-critical contexts of use, which include emergency response & management; critical infrastructure operations such as public transportation systems, communications and power distribution networks; and the operation of large scientific instruments such as astronomical observatories and particle accelerators. Central to these contexts of work is the notion of situation awareness 36. Our goal is to investigate novel ways of interacting with computing systems that improve collaborative data analysis capabilities and decision support assistance in a mission-critical, often time-constrained, work context.

Relevant publications by team members this year: 23, 22, 16.

4.2 Exploratory Analysis of Scientific Data

Participants: Caroline Appert, Anastasia Bezerianos, Olivier Chapuis, Vanessa Peña-Araya, Emmanuel Pietriga, Arnaud Prouzeau, Maria Lobo, Mehdi Rafik Chakhchoukh, Ludovic David, Olivier Gladin, Omi Johnson, Maryatou Kante, Briggs Twitchell.

Many scientific disciplines are increasingly data-driven, including astronomy, molecular biology, particle physics, or neuroanatomy. No matter their origin (experiments, remote observations, large-scale simulations), these data can be difficult to understand and analyze because of their sheer size and complexity. Our goal is to investigate how data-centric interactive systems can improve scientific data exploration.

Relevant publications by team members last year: 20, 21.

5.1 New software

5.2 New platforms

Participants: Olivier Gladin, Caroline Appert, Anastasia Bezerianos, Olivier Chapuis, Vanessa Peña-Araya, Emmanuel Pietriga, Arnaud Prouzeau, Arthur Fages, Abel Henry-Lapassat.

Both the WILD-512K and WILDER platforms are part of funded project ANR EquipEx+ Continuum (ANR-21-ESRE-0030). Figure 8 illustrates Earth-orbiting object tracking visualization based on a TLE data feed.

Picture of the WILDER ultra wall displaying satellite tracking data.

6.1 Novel Forms of Input for Groups and Individuals

Participants: Caroline Appert, Anastasia Bezerianos, Emmanuel Pietriga, Arnaud Prouzeau, Vincent Cavez, Camille Dupré, Ludovic David, Olivier Gladin.

The design and evaluation of interaction techniques for manipulating content in Augmented Reality has become a major research topic in the team 1, 31, 35. Continuing our investigatetions in this area, we designed TriPad 5, a technique that enables opportunistic touch interaction in Augmented Reality using hand tracking only. With TriPad, users declare the surface they want to appropriate with a simple hand tap gesture, as illustrated in Figure 9. They can then use this surface at will for direct and indirect touch input. TriPad only involves analyzing hand movements and postures, without the need for additional instrumentation, scene understanding or machine learning. TriPad thus works on a variety of flat surfaces, including glass. It also ensures low computational overhead on devices that typically have a limited power budget. We evaluated TriPad with two user studies. First, we demonstrated the robustness of TriPad’s hand movement interpreter on different surface materials: wood, glass and a piece of drywall. We then compared the technique against direct mid-air AR input techniques available in commercial headsets on both discrete and continuous tasks (target acquisition, slider manipulation, 2D pursuit) and with different surface orientations. In this second study we observed that TriPad achieved a better speed-accuracy trade-off overall compared to raycast and direct touch. It also improved comfort and minimized fatigue.

Another focus of attention of the team is the design and evaluation of pen+touch input techniques for manipulating data on interactive surfaces 2, 9, 52, 50. We continued investigating the potentials of pen+touch input, but this time in a specific application area that is new to the team: music composition, and most particularly music notation programs. Composers use such programs throughout their creative process. Music notation programs are essentially elaborate structured document editors that enable composers to create high-quality scores by enforcing musical notation rules. They effectively support music engraving, but impede the more creative stages in the composition process because of their lack of flexibility. Composers thus often combine these desktop tools with other mediums such as paper. Interactive surfaces that support pen+touch input have the potential to address the tension between the contradicting needs for structure and flexibility. To better understand professional composers' work process, we interview nine of them. These interviews yielded insights about their thought process and creative intentions. We relied on the “Cognitive Dimensions of Notations” framework 37 to capture the frictions composers experience when materializing those intentions on a score. We then identified opportunities to increase flexibility when composing music on interactive surfaces (see examples in Figure 10) by enabling composers to temporarily break the structure when manipulating the notation. These findings – interviews, analysis and opportunities – are reported in our paper “Challenges of Music Score Writing and the Potentials of Interactive Surfaces” 17.

Ultra-high-resolution wall-sized displays 4, 6, 33, 46 remain an active area of research as well. This year, together with colleagues from the Aviz team, we performed an exploratory study about how pairs of users interact with speech commands and touch gestures when working in front of wall displays 13. We participated to the design and analysis of an in-depth exploratory study involving ten pairs of participants performing sensemaking tasks collaboratively. We observed their interaction choices: which interaction did they use, the interplay between modalities, their collaboration style, etc. Among the main findings, we found that while touch was the most used modality, participants preferred speech commands for global operations, used them for distant interaction, and that speech interaction contributed to the awareness of the partner's actions. Participants interacted with speech equally often whether they were in loosely or closely coupled collaboration. We derive from these findings a set of design considerations for collaborative and multimodal interactive data analysis systems.

Finally, in collaboration with colleagues from Université de Toulouse and in the context of our work on multi-display environments, we initiated an investigation of collaboration involving multiple hybrid environments 16. Hybrid environments consist of a heterogeneous mix of interactive resources including large screens, personal devices, AR headsets, mixed reality systems, etc. Such environments can provide effective support to groups of users in demanding contexts of work such as emergency management and response. When members of the same group are distributed across multiple such environments – thus collaborating remotely – differences between the environments can impct the quality of the collaboration. The goal of this work is to define a model for the description of such hybrid environments in order to help identify asymmetries between remote users.

6.2 Novel Forms of Display for Groups and Individuals

Participants: Anastasia Bezerianos, Olivier Chapuis, Arnaud Prouzeau.

As mentioned in Section 6.1 ultra-high-resolution wall-sized displays (ultra-walls for short) are an active area of research in the team. The scope of this research is not limited to the design of interaction techniques, but also encompasses research on visual perception and data visualization involving these platforms. One key feature of these displays, as the name suggests, is that they have a very high display capacity: a very high pixel density over a lage physical surface. At the same time, they remain expensive, require large rooms, require maintenance and involve a significant engineering effort when developing dedicated applications. We started investigating the potentials of virtual reality headsets as an alternative to wall displays 18. Such headsets theoretically have the potential to emulate ultra-walls while avoiding the drawbacks mentioned above. However, it is unclear, from the perspective of visual perception, whether VR headsets actually have high-enough a resolution to effectively emulate ultra-walls. We first performed an analysis based on off-the-shelf HMD (Head-Mounted Display) technical specifications, showing that their pixel density cannot yet emulate ultra-walls. We then performed user studies (Figure 11) comparing different conditions, including an actual ultra-wall, virtual walls that compensate for the above-mentioned limitation by scaling visual elements, and virtual navigation techniques. Overall, results from this work indicate that in order to properly emulate an ultra-wall, VR headsets need to achieve a pixel density that matches human visual acuity which, given the typical eye-screen distance in HMDs, should be about 2,600dpi.

Continuing work Arnaud Prouzeau was involved in while in the BIVWAC team at Centre Inria de l'Université de Bordeaux, we contributed to several projects on topics involving Augmented Reality or Virtual Reality displays:

• means to raise awareness about environmental concerns through the design and evaluation of waste-accumulation visualizations embedded in people's environment using Augmented Reality technology 11;
• help healthcare professionals better understand schizophrenia symptoms by immersively simulating, e.g., delusions and auditory hallucinations using Augmented Reality 20, 27;
• the initial stages of a study about collaborative processes in educational experiences and how to enhance those experiences in Virtual Reality 21.

6.3 Interacting with Spatio-Temporal Data

Participants: Anastasia Bezerianos, Vanessa Peña-Araya, Emmanuel Pietriga, Arnaud Prouzeau, Ludovic David, Olivier Gladin.

Our research in this axis is smoothly transitioning from Interacting with Diverse Data to the somewhat more specific scope of Interacting with Spatio-Temporal Data, continuing collaborations with the GeoVis teamIGN. This not only encompasses data with geographical attributes but any sort of data with a spatial component, including astronomical data.

On this front, we reignited a collaboration with Institut d'Astrophysique Spatiale 45 about the visualization of astronomical data – FITS data in particular – focusing on EUCLID data with an entirely new Unity-based visualization framework developed from scratch called Hypatia-vis (see Section 5.1.4).

Still in the area of Astronomy, our long-lasting collaboration with DESY continues, centered on the operations monitoring and control UI front-end of the Cherenkov Telescope Array Observatory (CTAO), the next-generation atmospheric Cherenkov gamma-ray project. Our contribution to the Array Control and Data Acquisition (ACADA) system – which controls, supervises, and handles the data generated by the telescopes and the auxiliary instruments – is about the design, implementation and testing of user interface components for the control room, in tight collaboration with Iftach Sadeh at DESY 23, 22.

Spatio-temporal data are not limited to geographic and astronomical data but also include smaller-scale movement data for instance. Together with colleagues from the Aviz team, we contributed to research about the effective use of visualization to display data associated with moving entities. One project 15 was about exploring the challenges and considerations involved in designing visualizations embedded in motion within sports videos, with a focus on swimming competitions. Through surveys, workshops, and a technology probe, we identified requirements and opportunities for situated visualizations. These findings contribute to understanding how to enhance sports coverage with moving visual representations tied to athletes and other dynamic elements. Another related project 14 focused on scenarios where users must balance attention between a primary task and dynamic, embedded visualizations. Using video games as a case study, we conducted a systematic review and a user study from which we derived considerations for designing visualizations that are readable, useful, and minimally distracting. The work highlights trade-offs in design and offers insights into improving user experience in dynamic, task-focused environments.

Finally, related to earlier work in the team about the visualization of hypergraphs with spatial and temporal dimensions 7, 39, we collaborated with team Cedar on a visualization tool to help users explore and understand data shared in a variety of technical formats, structured or semi-structured 24. Our framework, given as input a dataset of one among many different formats, automatically derives an informative graph structure in the spirit of Property Graphs (PGs) 29, from which an interactive visual interface is created, leveraging prior work from team Cedar on integrating heterogeneous data and summarizing those data.

7.1 Bilateral contracts with industry

• Berger-Levrault: ANRT/CIFRE PhD (Camille Dupré), 3 years, November 2022-October 2025 on the topic of Interactive content manipulation in Mixed Reality for maintenance applications.

8.1 European initiatives

8.2 National initiatives

9.1 Promoting scientific activities

• ACM CHI Steering Committee (2019-...), ACM SIGCHI Conference on Human Factors in Computing Systems: Caroline Appert
• IEEE VIS Executive Committee (2021-...), Visualization Conference: Anastasia Bezerianos
• IEEE VIS Ombud (2022-2024): Anastasia Bezerianos

9.2 Teaching - Supervision - Juries

• Ingénieur (X-3A)/Master (M1/M2): Emmanuel Pietriga, Data Visualization (CSC_51052_EP), 36h, École Polytechnique / Institut Polytechnique de Paris
• Master (M1/M2): Caroline Appert, Experimental Design and Analysis, 21h, Univ. Paris Saclay
• Master (M1/M2): Anastasia Bezerianos, Interactive Information Visualization, 10h, Univ. Paris Saclay
• Master (M1/M2): Anastasia Bezerianos, Mixed Reality and Tangible Interaction, 11h, Univ. Paris Saclay
• Master (M2): Vanessa Peña Araya, Winter School, 10.5h, Univ. Paris Saclay
• Master (M2): Vanessa Peña Araya, Career Seminar, 13h, Univ. Paris Saclay
• Master (M1/M2): Vanessa Peña Araya, Web Development with Node.js, 10.5h, Univ. Paris Saclay
• Ingénieur (3A): Anastasia Bezerianos, Web Programming, 36h, Polytech Paris-Saclay
• Ingénieur (3A): Anastasia Bezerianos, Interaction Humain-Machine Project, 24h, Polytech Paris-Saclay
• Ingénieur (4A / Master (M1)): Anastasia Bezerianos, 4th year CS project (Projet Bases de Données/Web), 24h, Polytech Paris-Saclay
• Ingénieur (X-3A)/Master (M1/M2): Olivier Gladin, Data Visualization (CSC_51052_EP), 18h, École Polytechnique / Institut Polytechnique de Paris
• Master (M1/M2): Vincent Cavez, Design of Interactive Systems (DOIS 2024), 20h, Univ. Paris Saclay
• Master (M2): Vincent Cavez, Winter School, 10.5h, Univ. Paris Saclay
• Licence (L2): Vincent Cavez, Introduction à l'Interaction Humain-Machine (OLIN219), 12h, Univ. Paris Saclay
• Master (M1): Arnaud Prouzeau, Human Factor and Human Computer Interaction, 6h, Université de Bordeaux
• Master (M1): Arnaud Prouzeau, Immersion and interaction with visual worlds, 7.5h, École Polytechnique
• Master (M1): Arnaud Prouzeau, Winter School, 7.5h, Univ. Paris Saclay
• Master (M1/M2): Arnaud Prouzeau, Design Project, 21h, Univ. Paris Saclay
• Bachelor (BX1): Emmanuel Pietriga, Web Programming (CSE104), 32h, École Polytechnique

9.3 Popularization

10.1 Major publications

• 1 inproceedingsE.Eugenie Brasier, O.Olivier Chapuis, N.Nicolas Ferey, J.Jeanne Vezien and C.Caroline Appert. ARPads: Mid-air Indirect Input for Augmented Reality.ISMAR 2020 - IEEE International Symposium on Mixed and Augmented RealityISMAR '20Porto de Galinhas, BrazilIEEENovember 2020, 13 pagesHALback to textback to textback to text
• 2 articleV.Vincent Cavez, C.Caroline Appert and E.Emmanuel Pietriga. Spreadsheets on Interactive Surfaces: Breaking through the Grid with the Pen.ACM Transactions on Computer-Human InteractionOctober 2023HALDOIback to text
• 3 articleM.Mehdi Chakhchoukh, N.Nadia Boukhelifa and A.Anastasia Bezerianos. Understanding How In-Visualization Provenance Can Support Trade-off Analysis.IEEE Transactions on Visualization and Computer GraphicsMay 2022HALDOIback to textback to text
• 4 inproceedingsE.Emmanuel Courtoux, C.Caroline Appert and O.Olivier Chapuis. WallTokens: Surface Tangibles for Vertical Displays.Proceedings of the international conference on Human factors in computing systemsCHI 2021 - International conference on Human factors in computing systemsCHI '21Yokoama / Virtual, JapanACMMay 2021, 13 pagesHALDOIback to textback to text
• 5 inproceedingsC.Camille Dupré, C.Caroline Appert, S.Stéphanie Rey, H.Houssem Saidi and E.Emmanuel Pietriga. TriPad: Touch Input in AR on Ordinary Surfaces with Hand Tracking Only.Proceedings of the 42nd SIGCHI conference on Human Factors in computing systemsCHI 2024 - The 42nd SIGCHI conference on Human Factors in computing systemsHonolulu, HI, USA, United StatesMay 2024HALDOIback to textback to text
• 6 inproceedingsR.Raphaël James, A.Anastasia Bezerianos and O.Olivier Chapuis. Evaluating the Extension of Wall Displays with AR for Collaborative Work.Proceedings of the international conference on Human factors in computing systemsCHI 2023 - International conference on Human factors in computing systemsHambourg, GermanyACM2023HALDOIback to textback to text
• 7 articleV.Vanessa Pena Araya, T.Tong Xue, E.Emmanuel Pietriga, L.Laurent Amsaleg and A.Anastasia Bezerianos. HyperStorylines: Interactively untangling dynamic hypergraphs.Information VisualizationSeptember 2021, 1-21HALDOIback to textback to text
• 8 articleV.Vanessa Peña-Araya, E.Emmanuel Pietriga and A.Anastasia Bezerianos. A Comparison of Visualizations for Identifying Correlation over Space and Time.IEEE Transactions on Visualization and Computer GraphicsOctober 2019HALDOIback to textback to text
• 9 inproceedingsH.Hugo Romat, E.Emmanuel Pietriga, N.Nathalie Henry-Riche, K.Ken Hinckley and C.Caroline Appert. SpaceInk: Making Space for In-Context Annotations.UIST 2019 - 32nd ACM User Interface Software and TechnologyNouvelle-Orleans, United StatesOctober 2019HALDOIback to textback to textback to text
• 10 inproceedingsV.Vít Rusňák, C.Caroline Appert, O.Olivier Chapuis and E.Emmanuel Pietriga. Designing Coherent Gesture Sets for Multi-scale Navigation on Tabletops.Proceedings of the 36th international conference on Human factors in computing systemsCHI '18Montreal, CanadaACMApril 2018, 142:1-142:12HALDOIback to text

10.2 Publications of the year

10.3 Cited publications

• 28 bookS.S. Abiteboul, P.P. Buneman and D.D. Suciu. Data on the Web: From Relations to Semistructured Data and XML.Morgan Kaufmann1999back to text
• 29 inproceedingsR.Renzo Angles. The Property Graph Database Model.Proceedings of the International Workshop on Foundations of Data Management2100CEUR Workshop ProceedingsCEUR-WS.org2018back to text
• 30 inproceedingsC.Caroline Appert, E.Emmanuel Pietriga, E.Eléonore Bartenlian and R.Rafael Morales González. Custom-made Tangible Interfaces with TouchTokens.International Working Conference on Advanced Visual Interfaces (AVI '18)Proceedings of the 2018 International Conference on Advanced Visual InterfacesGrosseto, ItalyACMMay 2018, 15HALDOIback to text
• 31 inproceedingsE.Eugénie Brasier, E.Emmanuel Pietriga and C.Caroline Appert. AR-enhanced Widgets for Smartphone-centric Interaction.MobileHCI '21 - 23rd International Conference on Mobile Human-Computer InteractionACMToulouse, FranceSeptember 2021HALDOIback to textback to textback to text
• 32 inproceedingsE.Emmanuel Courtoux, C.Caroline Appert and O.Olivier Chapuis. SurfAirs: Surface + Mid-air Input for Large Vertical Displays.Proceedings of the international conference on Human factors in computing systemsHamburg, GermanyACMApril 2023, 15 pagesHALDOIback to text
• 33 inproceedingsE.Emmanuel Courtoux, C.Caroline Appert and O.Olivier Chapuis. WallTokens: Surface Tangibles for Vertical Displays.CHI 2021- International conference on Human factors in computing systemsYokohama ( virtual ), JapanACMMay 2021, 13 pagesHALDOIback to textback to text
• 34 articleM.Marie Destandau, C.Caroline Appert and E.Emmanuel Pietriga. S-Paths: Set-based visual exploration of linked data driven by semantic paths.Open Journal Of Semantic Web1212021, 99-116HALDOIback to text
• 35 inproceedingsF.Francesco Di Gioia, E.Eugenie Brasier, E.Emmanuel Pietriga and C.Caroline Appert. Investigating the Use of AR Glasses for Content Annotation on Mobile Devices.ACM ISS 2022 - ACM Interactive Surfaces and Spaces Conference6Proceedings of the ACM on Human-Computer InteractionISSWellington, New ZealandNovember 2022, 1-18HALDOIback to textback to textback to text
• 36 bookM. R.M. R. Endsley and D. G.D. G. Jones, eds. Designing for Situation Awareness: an Approach to User-Centered Design.370 pagesCRC Press, Taylor & Francis2012back to text
• 37 articleT. R.T. R. G. Green and M.M. Petre. Usability Analysis of Visual Programming Environments: A ‘Cognitive Dimensions’ Framework.Journal of Visual Languages & Computing721996, 131--174DOIback to text
• 38 bookT.T. Heath and C.Chris Bizer. Linked Data: Evolving the Web into a Global Data Space.Morgan & Claypool2011back to text
• 39 articleG.Golina Hulstein, V.Vanessa Peña-Araya and A.Anastasia Bezerianos. Geo-Storylines: Integrating Maps into Storyline Visualizations.IEEE Transactions on Visualization and Computer Graphics291October 2022, 994-1004HALDOIback to textback to textback to text
• 40 inproceedingsR.Raphaël James, A.Anastasia Bezerianos, O.Olivier Chapuis, M.Maxime Cordeil, T.Tim Dwyer and A.Arnaud Prouzeau. Personal+Context navigation: combining AR and shared displays in Network Path-following.GI 2020 - Conference on Graphics InterfaceGI '20Toronto, CanadaCHCCS/SCDHMMay 2020HALback to text
• 41 inproceedingsC.Can Liu, O.Olivier Chapuis, M.Michel Beaudouin-Lafon, É.Éric Lecolinet and W. E.Wendy E. Mackay. Effects of Display Size and Navigation Type on a Classification Task.CHI '14CHI '14Toronto, CanadaACMApril 2014, 4147-4156HALDOIback to text
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• 47 inproceedingsE.Emmanuel Pietriga, H.Hande Gözükan, C.Caroline Appert, M.Marie Destandau, Š.Šejla Ċebirić, F.François Goasdoué and I.Ioana Manolescu. Browsing Linked Data Catalogs with LODAtlas.ISWC 2018 - 17th International Semantic Web ConferenceMonterey, United StatesSpringerOctober 2018, 137-153HALDOIback to text
• 48 inproceedingsA.Arnaud Prouzeau, A.Anastasia Bezerianos and O.Olivier Chapuis. Awareness Techniques to Aid Transitions between Personal and Shared Workspaces in Multi-Display Environments.Proceedings of the 2018 International Conference on Interactive Surfaces and SpacesISS '18Tokyo, JapanACMNovember 2018, 291--304HALDOIback to text
• 49 inproceedingsH.Hugo Romat, C.Caroline Appert, B.Benjamin Bach, N.Nathalie Henry-Riche and E.Emmanuel Pietriga. Animated Edge Textures in Node-Link Diagrams: a Design Space and Initial Evaluation.Proceedings of the 2018 CHI Conference on Human Factors in Computing SystemsCHI '18Montréal, CanadaACMApril 2018, 187:1--187:13HALDOIback to text
• 50 articleH.Hugo Romat, C.Caroline Appert and E.Emmanuel Pietriga. Expressive Authoring of Node-Link Diagrams with Graphies.IEEE Transactions on Visualization and Computer Graphics274April 2021, 2329-2340HALDOIback to textback to textback to text
• 51 inproceedingsH.Hugo Romat, D.Dylan Lebout, E.Emmanuel Pietriga and C.Caroline Appert. Influence of Color and Size of Particles on Their Perceived Speed in Node-Link Diagrams.INTERACT 2019 - 17th IFIP Conference on Human-Computer InteractionLNCS-11747Human-Computer Interaction -- INTERACT 2019Part IIPart 7: Information VisualizationPaphos, CyprusSpringer International PublishingSeptember 2019, 619-637HALDOIback to text
• 52 inproceedingsH.Hugo Romat, N.Nathalie Riche, K.Ken Hinckley, B.Bongshin Lee, C.Caroline Appert, E.Emmanuel Pietriga and C.Christopher Collins. ActiveInk: (Th)Inking with Data.CHI 2019 - The ACM CHI Conference on Human Factors in Computing SystemsCHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing SystemsGlasgow, United KingdomACMMay 2019HALDOIback to textback to text
• 53 articleN.N. Shadbolt, T.T. Berners-Lee and W.W. Hall. The Semantic Web Revisited.IEEE Intelligent Systems2132006, 96-101URL: 10.1109/MIS.2006.62DOIback to text