Evaluating Different Visualization Designs for Personal Health Data

With the massive development of sensing technology and the availability of self-tracking devices and apps; the interest in personal data collection has widely increased. However, the data representation methods on these tracking devices and apps have many limitations. Our research concentrates on evaluating different data visualization alternatives that could be used to represents the tracked physical activity data (e.g. step count and heart rate) with regards to users’ performance when solving visual tasks and their preferences in the proposed visualizations.

Content

Author and article information

Contributors

Majedah Alrehiely

Parisa Eslambolchilar

Rita Borgo

Conference

Publication date: July 2018

Publication date (Print): July 2018

Pages: 1-6

Affiliations

[0001]School of Computer Science and Informatics, Cardiff University, UK

[0002]Informatics Department Kings College London, UK

Article

DOI: 10.14236/ewic/HCI2018.205

SO-VID: 9a2acb2e-5697-4557-87ae-40c5967e7901

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This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of the 32nd International BCS Human Computer Interaction Conference

Conference acronym: HCI

Conference number: 32

Conference location: Belfast, UK

Conference date: 4 - 6 July 2018

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Human Computer Interaction Conference

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1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2018.205

Self URI (journal page): https://ewic.bcs.org/

REFERENCES

J. E. BardramM. Frost 2016 The Personal Health Technology Design Space IEEE Pervasive Computing 15 2 70 78 http://doi.org/10.1109/MPRV.2016.37
R. BorgoA. Abdul-RahmanF. MohamedP. W. GrantI. ReppaL. FloridiM. Chen 2012 An Empirical Study on Using Visual Embellishments in Visualization IEEE Transactions on Visualization and Computer Graphics 18 12 2759 2768 http://doi.org/10.1109/TVCG.2012.197
E. K. ChoeB. LeeM. C. Schraefel 2015 Characterizing Visualization Insights from Quantified Selfers’ Personal Data Presentations IEEE Computer Graphics and Applications 35 4 28 37 http://doi.org/10.1109/MCG.2015.51
E. K. ChoeN. B. LeeB. LeeW. PrattJ. A. Kientz 2014 Understanding quantified-selfers’ practices in collecting and exploring personal data In Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI ’14 1143 1152 New York, NY, USA: ACM http://doi.org/10.1145/2556288.2557372
S. ConsolvoD. W. McDonaldT. ToscosM. Y. ChenJ. FroehlichB. Harrison, … J. A. Landay 2008 Activity Sensing in the Wild: A Field Trial of Ubifit Garden In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 1797 1806 New York, NY, USA: ACM http://doi.org/10.1145/1357054.1357335
D. EpsteinF. CordeiroE. BalesJ. FogartyS. Munson 2014 Taming Data Complexity in Lifelogs: Exploring Visual Cuts of Personal Informatics Data In Proceedings of the 2014 Conference on Designing Interactive Systems 667 676 New York, NY, USA: ACM http://doi.org/10.1145/2598510.2598558
C. FanJ. ForlizziA. K. Dey 2012 A Spark of Activity: Exploring Informative Art As Visualization for Physical Activity In Proceedings of the 2012 ACM Conference on Ubiquitous Computing 81 84 New York, NY, USA: ACM http://doi.org/10.1145/2370216.2370229
J. HeerN. KongM. Agrawala 2009 Sizing the Horizon: The Effects of Chart Size and Layering on the Graphical Perception of Time Series Visualizations In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 1303 1312 New York, NY, USA: ACM http://doi.org/10.1145/1518701.1518897
D. HuangM. ToryB. A. AsenieroL. BartramS. BatemanS. Carpendale, … R. Woodbury 2015 Personal Visualization and Personal Visual Analytics IEEE Transactions on Visualization and Computer Graphics 21 3 420 433 http://doi.org/10.1109/TVCG.2014.2359887
D. HuangM. ToryL. Bartram 2016 A Field Study of On-Calendar Visualizations In Proceedings of Graphics Interface 2016 13 20 Canadian Human-Computer Communications Society / Société canadienne du dialogue humain-machine http://doi.org/10.20380/GI2016.03
IQVIA Institute 2017 IQVIA Institute for Human Data Science Study: Impact of Digital Health Grows as Innovation, Evidence and Adoption of Mobile Health Apps Accelerate Retrieved from http://www.iqvia.com/en/newsroom/2017/11/impact-of-digital-health-grows-as-innovation-evidence-and-adoption-of-mobile-health-apps-accelerate
J. E. LarsenA. CuttoneS. L. Jørgensen 2013 QS Spiral: Visualizing Periodic Quantified Self Data In Proceedings of CHI 2013 Workshop on Personal Informatics in the Wild: Hacking Habits for Health & Happiness
I. LiA. K. DeyJ. Forlizzi 2011 Understanding My Data, Myself: Supporting Self-reflection with Ubicomp Technologies In Proceedings of the 13th International Conference on Ubiquitous Computing 405 414 New York, NY, USA: ACM http://doi.org/10.1145/2030112.2030166
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Retrieved from http://dx.doi.org/10.1109/MC.2013.38;
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X. TongD. GromalaL. BartramF. RajabiyazdiS. Carpendale 2015 Evaluating the Effectiveness of Three Physical Activity Visualizations?? How People Perform vs. Perceive In Electronic proceedings of the IEEE VIS 2015 workshop Personal Visualization: Exploring Data in Everyday Life Chicago
E. R. A. ValiatiM. S. PimentaC. M. D. S. Freitas 2006 A Taxonomy of Tasks for Guiding the Evaluation of Multidimensional Visualizations In Proceedings of the 2006 AVI Workshop on BEyond Time and Errors: Novel Evaluation Methods for Information Visualization 1 6 New York, NY, USA: ACM http://doi.org/10.1145/1168149.1168169
H. ZhuJ. ColganM. ReddyE. K. Choe 2016 Sharing Patient-Generated Data in Clinical Practices: An Interview Study AMIA Annual Symposium Proceedings

Comments

Comment on this article

[1] J. E. BardramM. Frost 2016 The Personal Health Technology Design Space IEEE Pervasive Computing 15 2 70 78 http://doi.org/10.1109/MPRV.2016.37

[2] R. BorgoA. Abdul-RahmanF. MohamedP. W. GrantI. ReppaL. FloridiM. Chen 2012 An Empirical Study on Using Visual Embellishments in Visualization IEEE Transactions on Visualization and Computer Graphics 18 12 2759 2768 http://doi.org/10.1109/TVCG.2012.197

[3] E. K. ChoeB. LeeM. C. Schraefel 2015 Characterizing Visualization Insights from Quantified Selfers’ Personal Data Presentations IEEE Computer Graphics and Applications 35 4 28 37 http://doi.org/10.1109/MCG.2015.51

[4] E. K. ChoeN. B. LeeB. LeeW. PrattJ. A. Kientz 2014 Understanding quantified-selfers’ practices in collecting and exploring personal data In Proceedings of the 32nd annual ACM conference on Human factors in computing systems - CHI ’14 1143 1152 New York, NY, USA: ACM http://doi.org/10.1145/2556288.2557372

[5] S. ConsolvoD. W. McDonaldT. ToscosM. Y. ChenJ. FroehlichB. Harrison, … J. A. Landay 2008 Activity Sensing in the Wild: A Field Trial of Ubifit Garden In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 1797 1806 New York, NY, USA: ACM http://doi.org/10.1145/1357054.1357335

[6] D. EpsteinF. CordeiroE. BalesJ. FogartyS. Munson 2014 Taming Data Complexity in Lifelogs: Exploring Visual Cuts of Personal Informatics Data In Proceedings of the 2014 Conference on Designing Interactive Systems 667 676 New York, NY, USA: ACM http://doi.org/10.1145/2598510.2598558

[7] C. FanJ. ForlizziA. K. Dey 2012 A Spark of Activity: Exploring Informative Art As Visualization for Physical Activity In Proceedings of the 2012 ACM Conference on Ubiquitous Computing 81 84 New York, NY, USA: ACM http://doi.org/10.1145/2370216.2370229

[8] J. HeerN. KongM. Agrawala 2009 Sizing the Horizon: The Effects of Chart Size and Layering on the Graphical Perception of Time Series Visualizations In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 1303 1312 New York, NY, USA: ACM http://doi.org/10.1145/1518701.1518897

[9] D. HuangM. ToryB. A. AsenieroL. BartramS. BatemanS. Carpendale, … R. Woodbury 2015 Personal Visualization and Personal Visual Analytics IEEE Transactions on Visualization and Computer Graphics 21 3 420 433 http://doi.org/10.1109/TVCG.2014.2359887

[10] D. HuangM. ToryL. Bartram 2016 A Field Study of On-Calendar Visualizations In Proceedings of Graphics Interface 2016 13 20 Canadian Human-Computer Communications Society / Société canadienne du dialogue humain-machine http://doi.org/10.20380/GI2016.03

[11] IQVIA Institute 2017 IQVIA Institute for Human Data Science Study: Impact of Digital Health Grows as Innovation, Evidence and Adoption of Mobile Health Apps Accelerate Retrieved from http://www.iqvia.com/en/newsroom/2017/11/impact-of-digital-health-grows-as-innovation-evidence-and-adoption-of-mobile-health-apps-accelerate

[12] J. E. LarsenA. CuttoneS. L. Jørgensen 2013 QS Spiral: Visualizing Periodic Quantified Self Data In Proceedings of CHI 2013 Workshop on Personal Informatics in the Wild: Hacking Habits for Health & Happiness

[13] I. LiA. K. DeyJ. Forlizzi 2011 Understanding My Data, Myself: Supporting Self-reflection with Ubicomp Technologies In Proceedings of the 13th International Conference on Ubiquitous Computing 405 414 New York, NY, USA: ACM http://doi.org/10.1145/2030112.2030166

[14] J. J. LinL. MamykinaS. LindtnerG. DelajouxH. B. Strub 2006 Fish’N’Steps: Encouraging Physical Activity with an Interactive Computer Game In Proceedings of the 8th International Conference on Ubiquitous Computing 261 278 Berlin, Heidelberg: Springer-Verlag http://doi.org/10.1007/11853565_16

[15] R. Mazza 2009 Introduction to Information Visualization 1 Springer Publishing Company, Incorporated

[16] J. MeyerA. KazakovaM. BüsingS. Boll 2016 Visualization of Complex Health Data on Mobile Devices In Proceedings of the 2016 ACM Workshop on Multimedia for Personal Health and Health Care 31 34 New York, NY, USA: ACM http://doi.org/10.1145/2985766.2985774

[17] B. ShneidermanC. PlaisantB. W. Hesse 2013 Improving Healthcare with Interactive Visualization IEEE Computer 46 5 58 66

[18] Retrieved from http://dx.doi.org/10.1109/MC.2013.38;

[19] A. SrinivasanM. BrehmerB. LeeS. M. Drucker 2018 What’s the Difference?: Evaluating Variations of Multi-Series Bar Charts for Visual Comparison Tasks In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems 304:1 304:12 New York, NY, USA: ACM http://doi.org/10.1145/3173574.3173878

[20] A. ThudtB. LeeE. K. ChoeS. Carpendale 2017 Expanding Research Methods for a Realistic Understanding of Personal Visualization IEEE Computer Graphics and Applications 37 2 12 18 http://doi.org/10.1109/MCG.2017.23

[21] X. TongD. GromalaL. BartramF. RajabiyazdiS. Carpendale 2015 Evaluating the Effectiveness of Three Physical Activity Visualizations?? How People Perform vs. Perceive In Electronic proceedings of the IEEE VIS 2015 workshop Personal Visualization: Exploring Data in Everyday Life Chicago

[22] E. R. A. ValiatiM. S. PimentaC. M. D. S. Freitas 2006 A Taxonomy of Tasks for Guiding the Evaluation of Multidimensional Visualizations In Proceedings of the 2006 AVI Workshop on BEyond Time and Errors: Novel Evaluation Methods for Information Visualization 1 6 New York, NY, USA: ACM http://doi.org/10.1145/1168149.1168169

[23] H. ZhuJ. ColganM. ReddyE. K. Choe 2016 Sharing Patient-Generated Data in Clinical Practices: An Interview Study AMIA Annual Symposium Proceedings

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