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ActiveInk: (Th)Inking with Data
ActiveInk: (Th)Inking with Data
International audience; During sensemaking, people annotate insights: underlining sentences in a document or circling regions on a map. They jot down their hypotheses: drawing correlation lines on scatterplots or creating personal legends to track patterns. We present ActiveInk, a system enabling people to seamlessly transition between exploring data and externalizing their thoughts using pen and touch. ActiveInk enables the natural use of pen for active reading behaviors, while supporting analytic actions by activating any of these ink strokes. Through a qualitative study with eight participants, we contribute observations of active reading behaviors during data exploration and design principles to support sensemaking.
- French Institute for Research in Computer Science and Automation France
- University of Paris-Saclay France
- Université Paris Diderot France
- Microsoft (United States) United States
Microsoft Academic Graph classification: Design elements and principles Visualization Computer science Human–computer interaction Transition (fiction) Annotation Sensemaking Qualitative research Natural (music)
Touch screens, Active reading, Visualization systems and tools, Ink, Annotation, Visualization, Digital pen, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]
Touch screens, Active reading, Visualization systems and tools, Ink, Annotation, Visualization, Digital pen, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]
Microsoft Academic Graph classification: Design elements and principles Visualization Computer science Human–computer interaction Transition (fiction) Annotation Sensemaking Qualitative research Natural (music)
41 references, page 1 of 5
[1] Christopher Andrews, Alex Endert, and Chris North. 2010. Space to Think: Large High-resolution Displays for Sensemaking. In Proc. of the SIGCHI Conf. on Human Factors in Computing Systems. ACM, 55-64. https://doi.org/10.1145/1753326.1753336
[2] Lisa Anthony and Jacob O. Wobbrock. 2012. $N-protractor: A Fast and Accurate Multistroke Recognizer. In Proc. Graphics Interface. Canadian Information Processing Society, 117-120.
[3] Caroline Appert, Michel Beaudouin-Lafon, and Wendy E. Mackay. 2005. Context matters: Evaluating Interaction Techniques with the CIS Model. In People and Computers XVIII -Design for Life, Sally Fincher, Panos Markopoulos, David Moore, and Roy Ruddle (Eds.). Springer, London, 279-295. https://doi.org/10.1007/1-84628-062-1_18
[4] Michael Bostock, Vadim Ogievetsky, and Jefrey Heer. 2011. D3 DataDriven Documents. IEEE Trans. on Visualization and Computer Graphics 17, 12 (Dec. 2011), 2301-2309. https://doi.org/10.1109/TVCG.2011.185
[5] Mauro Cherubini, Gina Venolia, Rob DeLine, and Andrew J. Ko. 2007. Let's Go to the Whiteboard: How and Why Software Developers Use Drawings. In Proc. of the SIGCHI Conf. on Human Factors in Computing Systems. ACM, 557-566. https://doi.org/10.1145/1240624.1240714
[6] Christopher Collins, Gerald Penn, and Sheelagh Carpendale. 2009. Bubble Sets: Revealing Set Relations with Isocontours over Existing Visualizations. IEEE Trans. on Visualization and Computer Graphics 15, 6 (2009), 1009-1016. https://doi.org/10.1109/TVCG.2009.122
[7] Andrew Crotty, Alex Galakatos, Emanuel Zgraggen, Carsten Binnig, and Tim Kraska. 2015. Vizdom: Interactive analytics through pen and touch. Proc. of the VLDB Endowment 8, 12 (2015), 2024-2027. https://doi.org/10.14778/2824032.2824127
[8] Steven M. Drucker, Danyel Fisher, Ramik Sadana, Jessica Herron, and m.c. schraefel. 2013. TouchViz: A Case Study Comparing Two Interfaces for Data Analytics on Tablets. In Proc. of the SIGCHI Conf. on Human Factors in Computing Systems. ACM, 2301-2310. https: //doi.org/10.1145/2470654.2481318
[9] Ken Hinckley, Xiaojun Bi, Michel Pahud, and Bill Buxton. 2012. Informal information gathering techniques for active reading. In Proc. of the SIGCHI Conf. on Human Factors in Computing Systems. ACM, 1893-1896. https://doi.org/10.1145/2207676.2208327
[10] Ken Hinckley, Ken Hinckley, Shengdong Zhao, Raman Sarin, Patrick Baudisch, Edward Cutrell, Michael Shilman, and Desney Tan. 2007. InkSeine: In Situ Search for Active Note Taking. In Proc. of the SIGCHI Conf. on Human Factors in Computing Systems. ACM, 251-260. https: //doi.org/10.1145/1240624.1240666
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).24 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).24 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average Powered byBIP!

- French Institute for Research in Computer Science and Automation France
- University of Paris-Saclay France
- Université Paris Diderot France
- Microsoft (United States) United States
International audience; During sensemaking, people annotate insights: underlining sentences in a document or circling regions on a map. They jot down their hypotheses: drawing correlation lines on scatterplots or creating personal legends to track patterns. We present ActiveInk, a system enabling people to seamlessly transition between exploring data and externalizing their thoughts using pen and touch. ActiveInk enables the natural use of pen for active reading behaviors, while supporting analytic actions by activating any of these ink strokes. Through a qualitative study with eight participants, we contribute observations of active reading behaviors during data exploration and design principles to support sensemaking.