article

Collaborative visualization: definition, challenges, and research agenda

Authors:

Petra Isenberg,

Niklas Elmqvist,

Hans HagenAuthors Info & Claims

Information Visualization, Volume 10, Issue 4

Pages 310 - 326

https://doi.org/10.1177/1473871611412817

Published: 01 October 2011 Publication History

Abstract

The conflux of two growing areas of technology - collaboration and visualization - into a new research direction, coLLaborative visualization, provides new research chaLLenges. TechnoLogy now aLLows us to easily connect and collaborate with one another - in settings as diverse as over networked computers, across mobile devices, or using shared displays such as interactive waLLs and tabletop surfaces. Digital information is now reguLarLy accessed by muLtipLe people in order to share information, to view it together, to analyze it, orto form decisions. VisuaLizations are used to deal more effectively with Large amounts of information white interactive visuaLizations aLLow users to expLore the underlying data. White researchers face many chaLLenges in coLLaboration and in visualization, the emergence of coLLaborative visualization poses additional chaLLenges, but it is also an exciting opportunity to reach new audiences and applications for visualization tooLs and techniques.] to provide a definition, clear scope, and overview of the evolving field of coLLaborative visualization, (2) to help pinpoint the unique focus of coLLaborative visualization with its specific aspects, chaLLenges, and requirements within the intersection of generaL computer-supported cooperative work and visualization research, and (3) to draw attention to important future research questions to be addressed by the community. We conclude by discussing a research agenda for future work on coLLaborative visualization and urge for a new generation of visuaLization toots that are designed with coLLaboration in mind from their very inception.

References

[1]

Thomas JJ and Cook KA (eds) Illuminating the Path: The Research and Development Agenda for Visual Analytics. Los Alamitos, CA: IEEE Computer Society, 2005.

[2]

Isenberg P, Hinrichs U, Hancock M and Carpendale S. Digital tables for collaborative information exploration. In: Mueller Tomfelde C (ed) Tablewps-Horizontal Interactive Displays. Human-Computer Interaction Series. Heidelberg, Berlin: Springer Verlag, 2010, pp. 387406.

[3]

Pousman Z, Stasko JT and Mateas M. Casual information visualization: depictions of data in everyday life. IEEE Trans Visual Comput Graphics 2007; 13(6): 1145-1152.

Digital Library

[4]

Baecker RM. Readings in Groupware and Computer-Supported Cooperative Work. San Francisco, CA: Morgan Kaufmann Publishers, 1993.

[5]

Dix AJ, Finlay JE, Abowd GD and Beale R. Human-Computer Interaction. London: Prentice Hall, 1998.

[6]

Raje RR, Boyles M and Fang S. CEV: Collaborative Environment for Visualization using Java RMI. Concurr Comput Pract Exp 1998; 10(11-13): 1079-1085.

[7]

Heer J, van Ham F, Carpendale S, Weaver C and Isenberg P. Creation and collaboration: Engaging new audiences for information visualization. In: Kerren A, Stasko JT, Fekete J-D and North C (eds) Information Visualization-Human-Centered Issues, and Perspectives, Vol. 4950 of LNCS State-of-the-Art Survey. Heidelberg, Berlin: Springer Verlag, 2008, pp. 92-133.

[8]

Johnson G. Collaborative visualization 101. ACM Siggraph Comput Graphics 1998; 32(2): 8-11.

[9]

Li LWF, Li FWB and Lau RWH. A trajectory-preserving synchronization method for collaborative visualization. IEEE Trans Visual Comput Graphics 2006; 12(5): 989-996.

[10]

Krfiger W and Fr6hlich B. The responsive workbench. IEEE Comput Graphics Appl 1994; 14(3): 12-15.

[11]

Wattenberg M. Baby names, visualization, and social data analysis. Proceedings of the Symposium on Information Visualization (InfoVis) (Washington, DC), IEEE: Los Alamitos. 2005, pp. 1-7.

[12]

Card S, Mackinlay JD and Shneiderman B (eds) Readings In Information Visualization: Using Vision To Think. San Francisco, CA: Morgan Kaufmann Publishers, 1999.

[13]

Stahl G. Group Cognition. Cambridge, MA: MIT Press, 2006.

[14]

Hutchins E. Cognition in the Wild. Cambridge, MA: MIT Press, 1996.

[15]

Wenger E. Communities of Practice: Learning, Meaning, and Identity. Cambridge: Cambridge University Press, 1999.

[16]

Zambrano RN and Engelhardt Y. Diagrams for the masses: Raising public awareness-from Neurath to Gapminder and Google Earth. In Diagrammatic Representation and Inference. Vol. 5223/2008, Heidelberg, Berlin: Springer-Verlag, 2008, pp. 282-292.

[17]

Viégas FB, Wattenberg M, van Ham F, Kriss J and McKeon M. Many eyes: A site for visualization at Internet scale. IEEE Trans Visual Comput Graphics 2007; 12(5): 1121-1128.

[18]

Grimstead IJ, Walker DW and Avis NJ. Collaborative visualization: A review and taxonomy. Proceedings of the Symposium on Distributed Simulation and Real-Time Applications (DS-RT). (Montreal, Canada), IEEE: Los Alamitos, 2005, pp. 61-69.

Digital Library

[19]

Isenberg P, Tang A and Carpendale S. An exploratory study of visual information analysis. Proceedings of the Conference on Human Factors in Computing Systems (CHI). (Florence, Italy), ACM Press: New York, 2008, pp. 1217-1226.

Digital Library

[20]

Russell DM, Stefik MJ, Pirolli P and Card SK. The cost structure of sensemaking. Proceedings of the Conference on Human Factors in Computing Systems (CHI). (Florence, Italy), ACM Press: New York, 1993, pp. 269-276.

Digital Library

[21]

Ang CS, Martin DC and Doyle MD. Integrated control of distributed volume visualization through the world-wide-web. Proceedings of the Conference on Visualization (VIS). (San Jose, CA), IEEE Computer Society: Los Alamitos, 1993, pp. 13-20.

[22]

Renambot L, Jeong B, Hur H, Johnson A and Leigh J. Enabling high resolution collaborative visualization in display rich virtual organizations. Future Gener Comput Syst 2009; 25(2): 1. 61-168.

[23]

Wood J, Wright H and Brodlie K. Collaborative visualization. Proceedings of the Conference on Visualization (VIS). (Phoenix, AZ), IEEE: Los Alamitos, 1997, pp. 253-259.

[24]

Matsukara R, Koyamada K, Tang Y, Karube Y and Moriya M. VizGrid: Collaborative visualization environment for natural interaction between remote researchers. Fujitsu Sci Tech J 2004; 40(2): 205-216.

[25]

Jankun-Kelly TJ, Kreylos O, Ma K-L, Hamann B, Joy KI, ShalfJ and Wes Bethel E. Deploying web-based visual exploration tools to the grid. IEEE Comput Graphics App12003; 23(2): 40-50.

[26]

Leigh J, Johnson AE, Brown M, Sandin DJ and DeFanti TA. Visualization in teteimmersive environments. Computer 1999; 32(12): 67-73.

[27]

Paper T. Data360. Available from: http://www.dam360.org/ (Last Accessed: February, 2009).

[28]

Stewart J, Bederson BB and Druin A. Single display groupware: A model for co-present collaboration. Proceedings of the Conference on Human Factors in Computing Systems (CHI). (Pittsburgh, PA), ACM Press: New York, 1999, pp. 286-293.

Digital Library

[29]

Guimbretire F. Fluid interaction for high resolution wall-size displays, PhD Thesis Stanford University, Palo Alto, CA, 2002.

[30]

Wellner P. Interacting with paper on the digital desk. Commun ACM 1993; 36(7): 87-96.

[31]

Nacenta MA, Pinelle D, Stuckel D and Gutwin C. The effects of interaction technique on coordination in tabletop groupware. Healey CG and Lank E (eds) Proceedings of Graphics Interface (GI). (Mississauga, ON, Canada), Canadian Information Processing Society, 2007, pp. 191-198.

[32]

Ringel Morris M, Ryall K, Shen C, Forlines C and Vernier F. Beyond 'social protocols': Multi-user coordination policies for co-located groupware. Proceedings of the Conference on ComputerSupported Cooperative Work (CSCW). (Chicago, IL), ACM Press: New York, 2004, pp. 262-265.

[33]

Scott SD, Carpendale MST and Inkpen KM. Territoriality in collaborative tabletop workspaces. Proceedings of the Conference on Computer-Supported Cooperative Work (CSCW). (Chicago, IL), ACM Press: New York, 2004, pp. 294-303.

Digital Library

[34]

Tang A, Tory M, Po B, Neumann P and Carpendale S. Collaborative coupling over tabletop displays. Proceedings of the Conference on Human Factors in Computing Systems (CHI). (Montreal, Canada), ACM Press: New York, 2006, pp. 1181-1290.

Digital Library

[35]

Kruger R, Carpendale S, Scott SD and Greenberg S. Roles of Orientation in Tabletop Collaboration: Comprehension, Coordination and Communication. J Comput Support Collaborative Work 2004; 13(5-6): 501-259.

[36]

Isenberg P and Fisher D. Collaborative brushing and linking for co-located visual analytics of document collections. Comput Graphics Forum (Proc EuroVis) 2009; 28(3): 1031-1038.

[37]

Tobiasz M, Isenberg P and Carpendale S. Lark: Coordinating co-located collaboration with information visualization. IEEE Trans Visual Comput Graphics 2009; 15(7): 1065-1072.

Digital Library

[38]

Forlines C and Shen C. DTLens: Multi-user tabletop spatial data exploration. Proceedings of the Symposium on User Interface Software and Technology (UIST). (Seattle, WA), ACM Press: New York, 2005, pp. 119-122.

Digital Library

[39]

Isenberg P and Carpendale S. Interactive tree comparison for co-located collaborative information visualization. IEEE Trans Visual Comput Graphics 2007; 13(7): 1232-1239.

Digital Library

[40]

Johnson B, Fox A and Winograd T. The Interactive Workspaces Project: Experiences with Ubiquitous Computing Rooms. IEEE Pervasive Comput Mag 2002; 1 (2): 67-74.

[41]

Forlines C and Lilien R. Adapting a single-user, single-display molecular visualization application for use in a multi-user, multi-display environment. Proceedings of the Conference on Advanced Visual lnte6races (AVI). (Napoli, Italy), ACM Press: New York, 2008, pp. 367-371.

Digital Library

[42]

Forlines C, Esenther A, Shen C, Wigdor D and Ryall K. Multiuser, multi-display interaction with a single-user, single-display geospatial application. Proceedings of the Symposium on User Interface Software and Technology (UIST). (Montreux, Switzerland), ACM Press: New York, 2006, pp. 273-276.

[43]

Wigdor D, Jiang H, Forlines C, Borkin M and Shen C. WeSpace: The design development and deployment of a walk-up and share multi-surface visual collaboration system. Proceedings of the Conference on Human Factors in Computing Systems (CHI). (Boston, MA), ACM Press: New York, 2009, pp. 1237-1246.

Digital Library

[44]

Clark HH and Brennan SE. Grounding in Communication. In: Baecker RM (ed.) Readings in Groupware and ComputerSupported Cooperative Work: Assisting Human-Human Collaboration. San Francisco, CA: Morgan Kaufmann Publishers Inc., 1993, pp. 222-234.

[45]

HeerJ and Agrawala M. Design considerations for collaborative visual analytics. Inf Visual 2008; 7(1): 49-62.

[46]

Ma K-L and Wang C. Social-aware collaborative visualization for large scientific projects. Proceedings of International Symposium on Collaborative Technologies and Systems. Irvine, CA, IEEE: Los Alamitos, 2008, pp. 190-195.

[47]

Wulf WA. The collaboratory opportunity. Science 1993; 261(5123): 854-855.

[48]

Subramanian S, Malan GR, Shim HS, Lee JH, Knoop P, Weymouth dTE, Jahanian F and Prakash A. Software architecture for the UARC web-based collaboratory. IEEE Internet Comput 1999; 3(2): 46-54.

[49]

Kilman DG and Forslund DW. An international collaboratory based on virtual patient records. Commun ACM 1997; 40(8): 110-117.

[50]

US Department of Energy CollaboratoriesParticle physics data grid collaboratory pilot. Available from: http://www.doecollaboratory.org/research2/ppdg/homepage.html. (Last Accessed June 2011).

[51]

Bernholdt D, Bharathi S, Brown D, Chanchio K, Chen M, Chervenak A, Cinquini L, Drach B, Foster I, Fox P, Garcia J, Kesselman C, Markel R, Middleton D, Nefedova V, Pouchard L, Shoshani A, Sire A, Strand G and Williams D. The earth system grid: Supporting the next generation of climate modeling research. Proc IEEE 2005; 93(3): 485495.

[52]

Schissel DP, Burruss JR, Finkelstein A, Flanagan SM, Foster IT, Fredian TW, Greenwald MJ, Johnson CR, Keahey K, Klasky SA, Li K, McCune DC, Papka M, Peng Q, Randerson L, Sanderson A, Stillerman J, Stevens R, Thompson MR and Wallace G. Building the US national fusion grid: Results from the national fusion collaboratory project. Fusion Eng Des 2004; 71(1-4): 245-250.

[53]

Sandia National Laboratories. Collaboratory for multi-scale chemical science. Available from: http://cmcs.org. (Last Accessed 2010).

[54]

Ko K. The international linear collider. SciDAC Rev 2006 1: 17-20.

[55]

Ma K-L, Schussman G, Wilson B, Ko K, Qiang J and Ryne R. Advanced visualization technology for terascale particle accelerator simulations. Proceedings of ACM/IEEE Supercomputing Conference. (Baltimore, MA, IEEE), Los Alamitos, 2002, pp. 1-11.

[56]

Wang Y, Shearer J and Ma K-L. VICA: A voronoi interface for visualizing collaborative annotations. Proceedings of the International Conference on Cooperative Design Visualization, and Engineering. Shanghai, China, Springer-Verlag: Berlin, Heidelberg, 2007, pp. 21-32.

[57]

Ma K-L. Visualizing visualizations: User interfaces for managing and exploring scientific visualization data. IEEE Comput Graphics Appl 2000; 20(5): 16-19.

[58]

Henline P. Eight collaboratory summaries. Interactions 1998; 5(3): 66-72.

[59]

Cogburn DL. HCI in the so-called developing world: What's in it for everyone. Interactions 2003; 10(2): 80-87.

[60]

Chuah MC and Roth SF. Visualizing common ground. Proceedings of the Conference on Information Visualization (IV). London, UK, IEEE: Los Alamitos, 2003, pp. 365-372.

[61]

Available from: http://www.globalsecurity.org/military/systems/ ground/cpof.htm (Last Accessed 19 October 2010).

[62]

Brewer I, MacEachren AM, Abdo H, Gundrum J and Otto G. Collaborative geographic visualization: Enabling shared understanding of environmental processes. Proceedings of the Symposium on Information Visualization (InfoVis). San Diego CA, IEEE: Los Alamitos, 2000, pp. 137-141.

[63]

MacEachren AM and Brewer I. Developing a conceptual framework for visually-enabled geocollaboration. Int J Geogr Inf Sci 2004; 18(1): 1-34.

[64]

Bishop ID and Lange E (eds) Visualization in Landscape and Environmental Planning: Technology and Applications. London, New York: Taylor & Francis, 2005, p. 296.

[65]

Fischer F, Bruhn J, Gr/isel C and Mandl H. Fostering collaborative knowledge construction with visualization tools. Learn Instruction 2002; 12(2): 213-232.

[66]

Schwartz DL. The productive agency that drives collaborative learning. Collaborative Learning: Cognitive and Computational Approaches. Oxford, UK: Pergamon/Elsevier Science, 1999, pp. 197-218.

[67]

Baker M, Hansen Tand Traum D. The role of grounding in collaborative learning tasks. Collaborative Learning: Cognitive and Computational Approaches. Oxford, UK: Pergamon, 1999, pp. 31-63.

[68]

Steinebach G, Guhathakurta S and Hagen H. Visualizing Sustainable Planning, 1st edn. Heidelberg, Berlin: Springer, 2009.

[69]

Edsall RM and Larson KL. Effectiveness of a semi-immersive virtual environment in understanding human-environment interactions, cartography and geographic information science2009; 36(4): 367-384.

[70]

Tollinger I, McCurdyM, VeraAHandTollingerP. Collaborative knowledge management supporting mars mission scientists. Proceedings of the Conference on Computer Supported Cooperative Work (CSCW). Chicago, IL, ACM; New York, 2004, pp. 29-38.

Digital Library

[71]

Huang E, Mynatt E and Trimble J. Displays in the wild: Understanding the dynamics and evolution of a display ecology. Pervasive Computing, Vol. 3968 of Lecture Notes in Computer Science. Heidelberg, Berlin: Springer, 2006, pp. 321-336.

[72]

Robinson AC. Collaborative synthesis of visual analytic results. Proceedings of the Symposium on Visual Analytics Science and Technology (VAST). Columbus, OH, IEEE: Los Alamitos, 2008, pp. 67-74.

[73]

Heer J, Vi+gas FB and Wattenberg M. Voyagers and voyeurs: Supporting asynchronous collaborative information visualization. Proceedings of the Conference on Human Factors in Computing Systems (CHI). San Jose, CA, ACM, New York, 2007, pp. 1029-1038.

Digital Library

[74]

Spence R. Information Visualization, 2nd ed. Harlow, England: Pearson Education Limited, 2007.

[75]

Isenberg P, Bezerianos A, Henry N and Carpendale S. Fekete J D. CoCoNutTrix: A study in collaborative retrofitting for information visualization. Computer graphics and applications. Collaborative Visual 2009; 29(5): 44-57.

[76]

Alallah F, Jin D and Irani P. OA-graphs: Orientation agnostic graphs for improving the legibility of charts on horizontal displays. Proceedings of Interactive Tabletops and Surfaces (ITS). Saarbruecken, Germany, ACM: New York, 2010, pp. 211-220.

Digital Library

[77]

Saraiya P, North C and Duca K. An Insight-Based Methodology for Evaluating Bioinformatics Visualizations. IEEE Trans Visual Comput Graphics 2005; Jul/Aug 11 (4): 443-456.

[78]

Heer J and Bostock M. Declarative Language Design for Interactive Visualization. IEEE Trans Visual Comput Graphics 2010; 16(6): 1149-1156.

[79]

Kim K, Javed W, Williams C, Elmqvist N and Irani E Hugin: A framework for awareness and coordination in mixed-presence collaborative information visualization. Proceeding of the Conference on Interactive Tabletops and Surface:, (ITS). Saarbruecken, Germany, ACM: New York, 2010, pp. 231-240.

[80]

Spotfire, Inc. DecisionSiteR Posters. Available from: http:// www.spotfire.corn/(Last Accessed March 2007)

[81]

MayaViz. CoMotionR. Available from: http://www.mayaviz.com/ http://wwwmayaviz.com/(Last Accessed March 2007)

Cited By

Holstein J(2024)Bridging Domain Expertise and AI through Data UnderstandingCompanion Proceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640544.3645248(163-165)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3640544.3645248
Patnaik BPeng HElmqvist N(2024)VisTorch: Interacting with Situated Visualizations using Handheld ProjectorsProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642857(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642857
León GIsenberg PBreiter A(2024)Eliciting Multimodal and Collaborative Interactions for Data Exploration on Large Vertical DisplaysIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332315030:2(1624-1637)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3323150
Show More Cited By

Index Terms

Collaborative visualization: definition, challenges, and research agenda
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work

Index terms have been assigned to the content through auto-classification.

Recommendations

Supporting collaborative sense-making in emergency management through geo-visualization

In emergency management, collaborative decision-making usually involves collaborative sense-making of diverse information by a group of experts from different knowledge domains, and needs better tools to analyze role-specific information, share and ...
A Model and Framework for Visualization Exploration

Visualization exploration is the process of extracting insight from data via interaction with visual depictions of that data. Visualization exploration is more than presentation; the interaction with both the data and its depiction is as important as ...
Visualization Collaborations: What Works and Why

For over 25 years, the visualization community has grown and evolved as a function of collaboration with other areas. It's now commonplace for visualization scientists to engage with other researchers in scientific teams. Commonplace, however, doesn't ...

Comments

Information & Contributors

Information

Published In

cover image Information Visualization

Information Visualization Volume 10, Issue 4

Special issue on State of the Field and New Research Directions

October 2011

103 pages

ISSN:1473-8716

Issue’s Table of Contents

Publisher

Palgrave Macmillan

Publication History

Published: 01 October 2011

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

78
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 27 Jul 2024

Other Metrics

View Author Metrics

Citations

Cited By

Holstein J(2024)Bridging Domain Expertise and AI through Data UnderstandingCompanion Proceedings of the 29th International Conference on Intelligent User Interfaces10.1145/3640544.3645248(163-165)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1145/3640544.3645248
Patnaik BPeng HElmqvist N(2024)VisTorch: Interacting with Situated Visualizations using Handheld ProjectorsProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642857(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642857
León GIsenberg PBreiter A(2024)Eliciting Multimodal and Collaborative Interactions for Data Exploration on Large Vertical DisplaysIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332315030:2(1624-1637)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3323150
Oetker FRoelofsen LBelleman RQuax R(2024)CrimeSeen: An Interactive Visualization Environment for Scenario Testing on Criminal Cocaine NetworksComputational Science – ICCS 202410.1007/978-3-031-63759-9_24(195-204)Online publication date: 2-Jul-2024
https://dl.acm.org/doi/10.1007/978-3-031-63759-9_24
Raffaillac TBoukhelifa NCrouzat EStark FMüller JLasseur J(2023)Développement d’une interface de simulation multi-agents pour la gestion concertée des territoires pastoraux de moyenne montagneAdjunct Proceedings of the 34th Conference on l'Interaction Humain-Machine10.1145/3577590.3589606(1-6)Online publication date: 3-Apr-2023
https://dl.acm.org/doi/10.1145/3577590.3589606
Narechania ADu FSinha ARossi RHoffswell JGuo SKoh ENavathe SEndert A(2023)DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data PreparationProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581509(1-18)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581509
Saffo DBatch ADunne CElmqvist N(2023)Through Their Eyes and In Their Shoes: Providing Group Awareness During Collaboration Across Virtual Reality and Desktop PlatformsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581093(1-15)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581093
Jansen PBritten JHäusele ASegschneider TColley MRukzio E(2023)AutoVis: Enabling Mixed-Immersive Analysis of Automotive User Interface Interaction StudiesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580760(1-23)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580760
Benk MWeibel RFeuerriegel SFerrario A(2022)"Is It My Turn?"Proceedings of the ACM on Human-Computer Interaction10.1145/35555806:CSCW2(1-23)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555580
Vandenabeele LAfkari HHermen JDeladiennée LMoll CMaquil VBottoni PPanizzi E(2022)DeBORAh: A Web-Based Cross-Device Orchestration LayerProceedings of the 2022 International Conference on Advanced Visual Interfaces10.1145/3531073.3534483(1-3)Online publication date: 6-Jun-2022
https://dl.acm.org/doi/10.1145/3531073.3534483
Show More Cited By

View Options

View options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Issue’s Table of Contents