Abstract
Context and motivation: Infographics are an engaging medium for communication. Sometimes, organisations create several infographics with the same graphic design and different data; e.g., when reporting on impact measurement. Question/problem: The conventional process to produce such recurrent data-centric infographics causes rework related to the disconnection between software environments. Principal ideas/results: This paper redesigns the process following the model-driven engineering paradigm. We present a domain-specific language to model infographics, and an interpreter that generates the infographics automatically. We have been able to model and generate infographics that report impact measurement results, which the participants of a comparative experiment have found as attractive as the original ones, and that are hard, but not impossible, to distinguish from them. Contribution: An innovative model-driven approach that eliminates the software environment disconnection and could facilitate the use of data-centric infographics for reporting purposes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Originally named openSEA, since 2020 the tool has been renamed openESEA, to include the business ethics dimension, also sometimes referred to as governance topics.
- 2.
- 3.
- 4.
The code of the interpreter can be found here: https://github.com/nielsrowinbik/open-sea.
- 5.
References
Smiciklas, M.: The Power of Infographics: Using Pictures to Communicate and Connect with Your Audiences. Que Publishing, New York (2012)
Dunlap, J.C., Lowenthal, P.R.: Getting graphic about infographics: design lessons learned from popular infographics. J. Vis. Literacy 35, 42ā59 (2016)
OāNeil, C., Schutt, R.: Doing Data Science: Straight Talk from the Frontline. OāReilly (2013)
EspaƱa, S., Bik, N., Overbeek, S.: Model-driven engineering support for social and environmental accounting. In: RCIS 2019. IEEE (2019)
Mernik, M., Heering, J., Sloane, A.M.: When and how to develop domain-specific languages. ACM Comput. Surv. 37(4), 316ā344 (2005)
Wieringa, R.J.: Design Science Methodology for Information Systems and Software Engineering. Springer, Berlin (2014)
Karagiannis, D.: Agile modeling method engineering. In: 19th Panhellenic Conference on Informatics (PCI 2015), pp. 5ā10. ACM, Athens, Greece (2015)
Behrens, H., et al. and Contributors: Xtext user guide v 1.0.1 (2010)
Martix, S., Hodson, J.: Teaching with infographics: practising new digital competencies and visual literacies (2014)
Arcia, A., et al.: Sometimes more is more: iterative participatory design of infographics for engagement of community members with varying levels of health literacy. J. Am. Med. Inform. Assoc. 23(1), 174ā183 (2016)
Amit-Danhi, E.R., Shifman, L.: Digital political infographics: a rhetorical palette of an emergent genre. New Media Soc. 20(10), 3540ā3559 (2018)
Thoma, B., et al.: The impact of social media promotion with infographics and podcasts on research dissemination and readership. Can. J. Emerg. Med. 20(2), 300ā306 (2018)
Iannaci, D.: Reporting tools for social enterprises: between impact measurement and stakeholder needs. Eur. J. Soc. Impact Circ. Econ. 1(1b), 1ā18 (2020)
Afrizal, D.: Statistical infographic publication: embracing the general public. In: Conference of European Statisticians. UNECE, Online (2021)
Otten, J.J., Cheng, K., Drewnowski, A.: Infographics and public policy: using data visualization to convey complex information. Health Aff. 34(11), 1901ā1907 (2015)
Mackinlay, J.: Automating the design of graphical presentations of relational information. ACM Trans. Graph. 5, 110ā141 (1986)
Dibia, V., Demiralp, Ć.: Data2vis: automatic generation of data visualizations using sequence-to-sequence recurrent neural networks. IEEE Comput. Graphics Appl. 39, 33ā46 (2019)
Gray, R., Adams, C., Owen, D.: Accountability, Social Responsibility and Sustainability: Accounting for Society and the Environment. Pearson, Boston (2014)
B Lab. The B Impact Assessment v6 (2018). https://bimpactassessment.net
Felber, C., Campos, V., Sanchis, J.R.: The common good balance sheet, an adequate tool to capture non-financials? Sustainability 11(14), 3791 (2019)
Ortega, A., del Carmen Olaya, M., Bastida, R., Torrent, R., SuriƱach, R.: Guia tĆØcnica per a l'elaboraciĆ² del balanƧ social. ACCID (2016)
ISO: ISO 26000 - Social responsibility (2010)
ISO: ISO 14000 - Environmental management (2015)
Global Reporting Initiative. GRI Standards (2018)
IIRC: International <IR> framework, January 2021 (2021)
Swiss Informatics Society. Data Center Green IT Maturity Assessment (2015)
Matson, L.: Sustainability Tracking, Assessment & Rating System (STARS): a tool for evaluating campus sustainability. In: UC, CSU, CCC Sustainability Conference (2008)
FAO: SAFA - Sustainability Assessment of Food and Agriculture systems. Guidelines version 3.0. Food and Agriculture Organization (2014)
REAS. A Charter for the Social Solidarity Economy (2019). https://www.guerrillatranslation.org/2019/07/01/a-charter-for-the-social-solidarity-economy
Xarxa d'Economia SolidĆ ria. El BalanƧ Social (2016). http://mercatsocial.xes.cat/ca/eines/balancsocial/
EspaƱa, S., Ramautar, V., Overbeek, S., Derikx, T.: A domain-specific language for data-centric infographics: technical report. Utrecht University. arXiv:2203.09292 (2022)
Benavides, D., Trinidad, P., Ruiz-CortĆ©s, A.: Automated reasoning on feature models. In: Pastor, O., FalcĆ£o e Cunha, J. (eds.) CAiSE 2005. LNCS, vol. 3520, pp. 491ā503. Springer, Heidelberg (2005). https://doi.org/10.1007/11431855_34
Cohn, M.: User Stories Applied: For Agile Software Development. Addison-Wesley, Redwood City (2004)
Waters, K.: Prioritization using MoSCoW. Agile Planning 12, 31 (2009)
Lavie, T., Tractinsky, N.: Assessing dimensions of perceived visual aesthetics of web sites. Int. J. Hum Comput Stud. 60(3), 269ā298 (2004)
Cohen, J.: Statistical Power Analysis for the Behavioral Sciences, 2nd edn. Lawrence Erlbaum Associates, Hillside (1988)
Wohlin, C., Runeson, P., Hƶst, M., Ohlsson, M.C., Regnell, B., WesslƩn, A.: Experimentation in Software Engineering: An Introduction. Kluwer, Boston (2000)
Zen, M., Vanderdonckt, J.: Assessing user interface aesthetics based on the inter-subjectivity of judgment. In: 30th International Human Computer Interaction Conference, pp. 1ā12 (2016)
Tantau, T.: TikZ and PGF. Manual for version 3.1.9a. UniversitƤt zu LĆ¼beck (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
Ā© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
EspaƱa, S., Ramautar, V., Overbeek, S., Derikx, T. (2022). Model-Driven Production of Data-Centric Infographics: An Application to the Impact Measurement Domain. In: Guizzardi, R., RalytƩ, J., Franch, X. (eds) Research Challenges in Information Science. RCIS 2022. Lecture Notes in Business Information Processing, vol 446. Springer, Cham. https://doi.org/10.1007/978-3-031-05760-1_28
Download citation
DOI: https://doi.org/10.1007/978-3-031-05760-1_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-05759-5
Online ISBN: 978-3-031-05760-1
eBook Packages: Computer ScienceComputer Science (R0)