An Interface for Visualizing Applied Interventions Data through Mobile Devices
Resumo
Professionals or researchers who, in diverse areas, need to accompany users (e.g., patients or students), and they use approaches that allow to collect daily data from their users. These specialists accompany and carry out collection through the planning and implementation of intervention programs. The objective of this work is to understand how the specialists visualize and analyze data, offering an alternative visualization form, based on the combination of different techniques, that allows the specialists to make use of the structure of the intervention programs to follow the application of these programs. A study was carried out with healthcare professionals and through the analysis of a visualization prototype and graph structures, it was possible to understand how these specialists interpret their data. We also identified requirements for our visualization interface.
Palavras-chave:
Intervention Programs, Data Collect, Data Visualization
Referências
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Connie Chen, David Haddad, Joshua Selsky, Julia E Hoffman, Richard L Kravitz, Deborah E Estrin, and Ida Sim. 2012. Making Sense of Mobile Health Data: An Open Architecture to Improve Individual- and Population-Level Health. J Med Internet Res 14, 4 (09 Aug 2012), e112. https://doi.org/10.2196/jmir.2152
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Mihaly Csikszentmihalyi, Reed Larson, and Suzanne Prescott. 2014. The ecology of adolescent activity and experience. In Applications of Flow in Human Development and Education. Springer, 241–254. https://doi.org/10.1007/978-94-017-9094-9_12
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Dezhi Fang, Fred Hohman, Peter Polack, Hillol Sarker, Minsuk Kahng, Moushumi Sharmin, Mustafa al’Absi, and Duen Horng Chau. 2017. mHealth visual discovery dashboard. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. 237–240. https://doi.org/10.1145/3123024.3123170
Santosh Kumar, Gregory D Abowd, William T Abraham, Mustafa al’Absi, J Gayle Beck, Duen Horng Chau, Tyson Condie, David E Conroy, Emre Ertin, Deborah Estrin, 2015. Center of excellence for mobile sensor data-to-knowledge (MD2K). Journal of the American Medical Informatics Association 22, 6(2015), 1137–1142. https://doi.org/10.1093/jamia/ocv056
Jill H Larkin and Herbert A Simon. 1987. Why a diagram is (sometimes) worth ten thousand words. Cognitive science 11, 1 (1987), 65–100. https://doi.org/10.1016/S0364-0213(87)80026-5
Reed Larson and Mihaly Csikszentmihalyi. 2014. The experience sampling method. In Flow and the foundations of positive psychology. Springer, 21–34. https://doi.org/10.1007/978-94-017-9088-8_2
Burrhus Frederic Skinner. 1961. Teaching machines. Scientific American 205, 5 (1961), 90–106.
Arthur A Stone and Saul Shiffman. 1994. Ecological momentary assessment (EMA) in behavorial medicine.Annals of behavioral medicine(1994). https://doi.org/doi.org/10.1093/abm/16.3.199
Hongsuda Tangmunarunkit, Cheng-Kang Hsieh, Brent Longstaff, S Nolen, John Jenkins, Cameron Ketcham, Joshua Selsky, Faisal Alquaddoomi, Dony George, Jinha Kang, 2015. Ohmage: A general and extensible end-to-end participatory sensing platform. ACM Transactions on Intelligent Systems and Technology (TIST) 6, 3(2015), 1–21. https://doi.org/10.1145/2717318
Timothy J Trull and Ulrich W Ebner-Priemer. 2009. Using experience sampling methods/ecological momentary assessment (ESM/EMA) in clinical assessment and clinical research: introduction to the special section.(2009). https://doi.org/10.1037/a0017653
Colin Ware. 2019. Information visualization: perception for design. Morgan Kaufmann.
Connie Chen, David Haddad, Joshua Selsky, Julia E Hoffman, Richard L Kravitz, Deborah E Estrin, and Ida Sim. 2012. Making Sense of Mobile Health Data: An Open Architecture to Improve Individual- and Population-Level Health. J Med Internet Res 14, 4 (09 Aug 2012), e112. https://doi.org/10.2196/jmir.2152
Tamlin S Conner, Howard Tennen, William Fleeson, and Lisa Feldman Barrett. 2009. Experience sampling methods: A modern idiographic approach to personality research. Social and personality psychology compass 3, 3 (2009), 292–313. https://doi.org/10.1111/j.1751-9004.2009.00170.x
Mihaly Csikszentmihalyi and Reed Larson. 2014. Validity and reliability of the experience-sampling method. In Flow and the foundations of positive psychology. Springer, 35–54. https://doi.org/10.1007/978-94-017-9088-8_3
Mihaly Csikszentmihalyi, Reed Larson, and Suzanne Prescott. 2014. The ecology of adolescent activity and experience. In Applications of Flow in Human Development and Education. Springer, 241–254. https://doi.org/10.1007/978-94-017-9094-9_12
Bruna Carolina Rodrigues Cunha, Kamila Rios Da Hora Rodrigues, Isabela Zaine, Elias Adriano Nogueira da Silva, Caio César Viel, and Maria Da Graça Campos Pimentel. 2021. Experience sampling and programmed intervention method and system for planning, authoring, and deploying mobile health interventions: design and case reports. Journal of medical Internet research 23, 7 (2021), e24278. https://doi.org/10.2196/24278
Dezhi Fang, Fred Hohman, Peter Polack, Hillol Sarker, Minsuk Kahng, Moushumi Sharmin, Mustafa al’Absi, and Duen Horng Chau. 2017. mHealth visual discovery dashboard. In Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. 237–240. https://doi.org/10.1145/3123024.3123170
Santosh Kumar, Gregory D Abowd, William T Abraham, Mustafa al’Absi, J Gayle Beck, Duen Horng Chau, Tyson Condie, David E Conroy, Emre Ertin, Deborah Estrin, 2015. Center of excellence for mobile sensor data-to-knowledge (MD2K). Journal of the American Medical Informatics Association 22, 6(2015), 1137–1142. https://doi.org/10.1093/jamia/ocv056
Jill H Larkin and Herbert A Simon. 1987. Why a diagram is (sometimes) worth ten thousand words. Cognitive science 11, 1 (1987), 65–100. https://doi.org/10.1016/S0364-0213(87)80026-5
Reed Larson and Mihaly Csikszentmihalyi. 2014. The experience sampling method. In Flow and the foundations of positive psychology. Springer, 21–34. https://doi.org/10.1007/978-94-017-9088-8_2
Burrhus Frederic Skinner. 1961. Teaching machines. Scientific American 205, 5 (1961), 90–106.
Arthur A Stone and Saul Shiffman. 1994. Ecological momentary assessment (EMA) in behavorial medicine.Annals of behavioral medicine(1994). https://doi.org/doi.org/10.1093/abm/16.3.199
Hongsuda Tangmunarunkit, Cheng-Kang Hsieh, Brent Longstaff, S Nolen, John Jenkins, Cameron Ketcham, Joshua Selsky, Faisal Alquaddoomi, Dony George, Jinha Kang, 2015. Ohmage: A general and extensible end-to-end participatory sensing platform. ACM Transactions on Intelligent Systems and Technology (TIST) 6, 3(2015), 1–21. https://doi.org/10.1145/2717318
Timothy J Trull and Ulrich W Ebner-Priemer. 2009. Using experience sampling methods/ecological momentary assessment (ESM/EMA) in clinical assessment and clinical research: introduction to the special section.(2009). https://doi.org/10.1037/a0017653
Colin Ware. 2019. Information visualization: perception for design. Morgan Kaufmann.
Publicado
07/11/2022
Como Citar
SCALCO, Leonardo Fernandes; RODRIGUES, Kamila Rios da Hora; PIMENTEL, Maria da Graça Campos.
An Interface for Visualizing Applied Interventions Data through Mobile Devices. In: BRAZILIAN SYMPOSIUM ON MULTIMEDIA AND THE WEB (WEBMEDIA), 28. , 2022, Curitiba.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 249-258.