FAMAP: A framework for developing m-health apps

Advances in Intelligent Systems and Computing

Volumn 745, Issue , 2018, Pages 850-859

  García Magariño, Iván ^a   Gonzalez Bedia, Manuel ^a   Palacios Navarro, Guillermo ^a  

^a UNIVERSITY OF ZARAGOZA   (Spain)

Author keywords

App; m health; Mobile application; Multi agent system; Software development; Well being

Indexed keywords

APPLICATION PROGRAMS; DECISION SUPPORT SYSTEMS; INFORMATION MANAGEMENT; INFORMATION SYSTEMS; INFORMATION USE; MHEALTH; SOFTWARE AGENTS; SOFTWARE DESIGN; SOFTWARE ENGINEERING; SURVEYS;

AGENT-BASED DECISION SUPPORT SYSTEMS; DATA ANALYTICS; DEVELOPMENT FRAMEWORKS; EDGE CUTTINGS; MOBILE APPLICATIONS; MOBILE TECHNOLOGY; MULTIMODAL COMMUNICATIONS; WELL BEING;

MULTI AGENT SYSTEMS;

EID: 85045147275     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-77703-0_83     Document Type: Conference Paper

References (25)

1. Amalfitano, D., Amatucci, N., Memon, A.M., Tramontana, P., Fasolino, A.R.: A general framework for comparing automatic testing techniques of Android mobile apps. J. Syst. Softw. 125, 322–343 (2017)
2. Ekman, P.: An argument for basic emotions. Cogn. Emot. 6(3–4), 169–200 (1992)
3. Galesic, M.: Dropouts on the web: effects of interest and burden experienced during an online survey. J. Official Stat. 22(2), 313 (2006)
4. García-Magariño, I., Palacios-Navarro, G.: A model-driven approach for constructing ambient assisted-living multi-agent systems customized for Parkinson patients. J. Syst. Softw. 111, 34–48 (2016)
5. García-Magariño, I., Plaza, I.: ABS-MindHeart: an agent based simulator of the influence of mindfulness programs on heart rate variability. J. Comput. Sci. 19, 11–20 (2017)
6. García-Magariño, I., Plaza, I.: ABSEM: an agent-based simulator of emotions in mindfulness programs. Expert Syst. Appl. 84, 49–57 (2017)
7. García-Magariño, I., Gómez-Sanz, J.J., Pérez-Agüera, J.R.: A multi-agent based implementation of a Delphi process. In: Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems, vol. 3, pp. 1543–1546 (2008). International Foundation for Autonomous Agents and Multiagent Systems
8. García-Magariño, I., Rougemaille, S., Fuentes-Fernández, R., Migeon, F., Gleizes, M.P., Gómez-Sanz, J.: A tool for generating model transformations by-example in multi-agent systems. In: 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2009). Advances in Intelligent and Soft Computing, vol. 55, pp. 70–79. Springer (2009)
9. García-Magariño, I., Cossentino, M., Seidita, V.: A metrics suite for evaluating agent-oriented architectures. In: Proceedings of the 2010 ACM Symposium on Applied Computing, pp. 912–919. ACM (2010)
10. García-Magariño, I., Gómez-Rodríguez, A., González-Moreno, J.C., Palacios-Navarro, G.: PEABS: a process for developing efficient agent-based simulators. Eng. Appl. Artif. Intell. 46, 104–112 (2015)
11. García-Magariño, I., Lacuesta, R., Lloret, J.: Agent-based simulation of smart beds with Internet-of-Things for exploring Big Data analytics. IEEE Access (2017). https://doi.org/10.1109/ACCESS.2017.2764467
12. García-Magariño, I., Palacios-Navarro, G., Lacuesta, R.: TABSAOND: a technique for developing agent-based simulation apps and online tools with nondeterministic decisions. Simul. Modell. Pract. Theor. 77, 84–107 (2017)
13. Grundy, Q.H., Wang, Z., Bero, L.A.: Challenges in assessing mobile health app quality: a systematic review of prevalent and innovative methods. Am. J. Prev. Med. 51(6), 1051–1059 (2016)
14. Gutierrez, C., Garcia-Magariño, I.: A metrics suite for the communication of multi-agent systems. J. Phys. Agents 3(2), 7–14 (2009)
15. Lattie, E.G., Schueller, S.M., Sargent, E., Stiles-Shields, C., Tomasino, K.N., Corden, M.E., Begale, M., Karr, C.J., Mohr, D.C.: Uptake and usage of intellicare: a publicly available suite of mental health and well-being apps. Internet Interventions 4, 152–158 (2016)
16. Mani, M., Kavanagh, D.J., Hides, L., Stoyanov, S.R.: Review and evaluation of mindfulness-based iPhone apps. JMIR mHealth uHealth 3(3), 82 (2015)
17. Miah, S.J., Gammack, J., Hasan, N.: Extending the framework for mobile health information systems research: a content analysis. Inf. Syst. 69, 1–24 (2017)
18. Mukherjee, S., Mondal, I.: Future practicability of Android application development with new android libraries and frameworks. Int. J. Comput. Sci. Inf. Technol. 5(4), 5575–5579 (2014)
19. Olayinka, O., Kekeh, M., Sheth-Chandra, M., Akpinar-Elci, M.: Big Data knowledge in global health education. Ann. Global Health (2017). https://doi.org/10. 1016/j.aogh.2017.09.005
20. Plaza García, I., Sánchez, C.M., Espilez, Á.S., García-Magariño, I., Guillen, G.A., García-Campayo, J.: Development and initial evaluation of a mobile application to help with mindfulness training and practice. Int. J. Med. Inform. 105, 59–67 (2017)
21. Schnall, R., Rojas, M., Bakken, S., Brown, W., Carballo-Dieguez, A., Carry, M., Gelaude, D., Mosley, J.P., Travers, J.: A user-centered model for designing consumer mobile health (mhealth) applications (apps). J. Biomed. Inf. 60, 243–251 (2016)
22. Selic, B.: The pragmatics of model-driven development. IEEE Softw. 20(5), 19–25 (2003)
23. Shastry, N., Mirajkar, A.M., Moodithaya, S.S., Halahalli, H.N.: Resting heart rate variability and cardiorespiratory fitness in healthy young adults. Indian J. Med. Spec. 8(1), 17–20 (2017)
24. Sicari, S., Rizzardi, A., Grieco, L., Piro, G., Coen-Porisini, A.: A policy enforcement framework for Internet of Things applications in the smart health. Smart Health 3–4, 39–74 (2017)
25. Wilkes, C., Kydd, R., Sagar, M., Broadbent, E.: Upright posture improves affect and fatigue in people with depressive symptoms. J. Behav. Ther. Exp. Psychiatry 54, 143–149 (2017)