Human-data interaction design guidelines for visualization systems

The design of interactive visualization systems is challenging due to several aspects involving data interpretation and manipulation mechanisms. Designers need adequate support in the conception of these tools for facilitating the interaction of users with data. In this article, we propose a set of design guidelines on Human-Data Interaction (HDI) with focus on information visualization (IV). Our recommendations were elaborated based on analysis and summary of knowledge from literature, combined with our own design experience with this kind of systems. This study shows to which extent the organized guidelines were understood, used and discussed by Computer Science students in the construction and evaluation of software prototypes for data-driven decision making. Participants were able to understand the guidelines and applied them with success for evaluation of HDI in IV systems.

[1]  Edy Portmann,et al.  Granular computing as a basis of human–data interaction: a cognitive cities use case , 2016, Granular Computing.

[2]  Frederick P. Brooks,et al.  No Silver Bullet: Essence and Accidents of Software Engineering , 1987 .

[3]  John Q. Walker,et al.  Navigational techniques to improve the display of large two-dimensional spaces , 1990 .

[4]  Ben Shneiderman,et al.  The eyes have it: a task by data type taxonomy for information visualizations , 1996, Proceedings 1996 IEEE Symposium on Visual Languages.

[5]  Barbara Tversky,et al.  Animation: can it facilitate? , 2002, Int. J. Hum. Comput. Stud..

[6]  Eliane Zambon Victorelli,et al.  Participatory Evaluation of Human-Data Interaction Design Guidelines , 2019, INTERACT.

[7]  Eliane Zambon Victorelli,et al.  A Design Process Integrating Human-Data Interaction Guidelines and Semio-Participatory Design , 2019, ICEIS.

[8]  Alex Endert,et al.  Semantic Interaction for Visual Analytics: Toward Coupling Cognition and Computation , 2014, IEEE Computer Graphics and Applications.

[9]  Kristin A. Cook,et al.  Illuminating the Path: The Research and Development Agenda for Visual Analytics , 2005 .

[10]  Austin Henderson,et al.  Interaction design: beyond human-computer interaction , 2002, UBIQ.

[11]  Chris North,et al.  Semantic interaction for visual text analytics , 2012, CHI.

[12]  Sonja Zillner,et al.  Technology Roadmap Development for Big Data Healthcare Applications , 2014, KI - Künstliche Intelligenz.

[13]  Eliane Zambon Victorelli,et al.  Understanding human-data interaction: Literature review and recommendations for design , 2020, Int. J. Hum. Comput. Stud..

[14]  R. Pea.  User Centered System Design: New Perspectives on Human-Computer Interaction , 1987 .

[15]  Jakob Nielsen,et al.  Enhancing the explanatory power of usability heuristics , 1994, CHI '94.

[16]  Patricia Martín-Rodilla,et al.  User interface design guidelines for rich applications in the context of cultural heritage data , 2014, 2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS).

[17]  Paul Marshall,et al.  Workshop on embodied interaction: theory and practice in HCI , 2011, CHI Extended Abstracts.

[18]  Benjamin B. Bederson,et al.  A review of overview+detail, zooming, and focus+context interfaces , 2009, CSUR.

[19]  Jaime Urquiza-Fuentes,et al.  R-ZOOM: A visualization technique for algorithm animation construction , 2005, IADIS AC.

[20]  Donald A. Norman,et al.  User Centered System Design: New Perspectives on Human-Computer Interaction , 1988 .

[21]  Ben Shneiderman,et al.  Interactive Dynamics for Visual Analysis , 2012 .

[22]  Silvia Miksch,et al.  Characterizing Guidance in Visual Analytics , 2017, IEEE Transactions on Visualization and Computer Graphics.

[23]  Hamed Haddadi,et al.  Human-Data Interaction: The Human Face of the Data-Driven Society , 2014, ArXiv.

[24]  Niklas Elmqvist,et al.  Fluid interaction for information visualization , 2011, Inf. Vis..

[25]  D. Norman.  The Design of Everyday Things: Revised and Expanded Edition , 2013 .

[26]  Kecheng Liu,et al.  Challenges for Human-Data Interaction - A Semiotic Perspective , 2015, HCI.

[27]  Allison Woodruff,et al.  Guidelines for using multiple views in information visualization , 2000, AVI '00.

[28]  Hans-Peter Kriegel,et al.  VisDB: database exploration using multidimensional visualization , 1994, IEEE Computer Graphics and Applications.

[29]  Niklas Elmqvist,et al.  Embodied Human-Data Interaction , 2011 .