Sensus: A cross-platform, general-purpose system for mobile crowdsensing in human-subject studies

UbiComp 2016 - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Volumn , Issue , 2016, Pages 415-426

  Xiong, Haoyi ^a   Huang, Yu ^a   Barnes, Laura E ^a   Gerber, Matthew S ^a  

^a UNIVERSITY OF VIRGINIA   (United States)

Author keywords

Crowdsensing; Human factors; Participatory sensing; Programmable platform

Indexed keywords

HUMAN ENGINEERING; SURVEYS; UBIQUITOUS COMPUTING;

AUTOMATIC DEPLOYMENTS; CROWDSENSING; GENERAL-PURPOSE SYSTEMS; HARDWARE AND SOFTWARE; PARTICIPATORY SENSING; PROGRAMMABLE PLATFORMS; RANDOMIZED CONTROLLED TRIAL; RESEARCH COMMUNITIES;

BEHAVIORAL RESEARCH;

EID: 84991444215     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2971648.2971711     Document Type: Conference Paper

References (42)

1. Nadav Aharony, Wei Pan, Cory Ip, Inas Khayal, and Alex Pentland. 2011. Social fMRI: Investigating and shaping social mechanisms in the real world. Pervasive and Mobile Computing 7, 6(2011), 643-659.
2. American College Health Association and others. 2013. National College Health Assessment II: Reference Group Executive Summary Fall 2012. Hanover, MD: American College Health Association (2013).
3. Andrew T Campbell, Shane B Eisenman, Nicholas D Lane, Emiliano Miluzzo, Ronald A Peterson, Hong Lu, Xiao Zheng, Mirco Musolesi, Kristóf Fodor, and Gahng-Seop Ahn. 2008. The rise of people-centric sensing. Internet Computing, IEEE 12, 4(2008), 12-21.
4. Luca Canzian and Mirco Musolesi. 2015. Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 1293-1304.
5. Giuseppe Cardone, Luca Foschini, Paolo Bellavista, Antonio Corradi, Cristian Borcea, Manoop Talasila, and Reza Curtmola. 2013. Fostering participaction in smart cities: a geo-social crowdsensing platform. Communications Magazine, IEEE 51, 6(2013), 112-119.
6. Yohan Chon, Nicholas D. Lane, Fan Li, Hojung Cha, and Feng Zhao. 2012. Automatically Characterizing Places with Opportunistic CrowdSensing using Smartphones. In Proc. 14th Int. Conf. Ubiquitous Computing ACM. 481-490.
7. Yves-Alexandre de Montjoye, Jordi Quoidbach, Florent Robic, and Alex Sandy Pentland. 2013. Predicting personality using novel mobile phone-based metrics. In Social computing, behavioral-cultural modeling and prediction. Springer, 48-55.
8. Don A Dillman, Jolene D Smyth, and Leah Melani Christian. 2014. Internet, phone, mail, and mixed-mode surveys: the tailored design method. John Wiley & Sons.
9. Wen Dong, Bruno Lepri, and Alex Sandy Pentland. 2011. Modeling the co-evolution of behaviors and social relationships using mobile phone data. In Proceedings of the 10th International Conference on Mobile and Ubiquitous Multimedia. ACM, 134-143.
10. Nathan Eagle and Alex Pentland. 2005. Social serendipity: Mobilizing social software. Pervasive Computing, IEEE 4, 2(2005), 28-34.
11. Nathan Eagle and Alex Pentland. 2006. Reality mining: sensing complex social systems. Personal and Ubiquitous Computing 10, 4(2006), 255-268.
12. Nathan Eagle and Alex Sandy Pentland. 2009. Eigenbehaviors: Identifying structure in routine. Behavioral Ecology and Sociobiology 63, 7(2009), 1057-1066.
13. Nathan Eagle, Alex Sandy Pentland, and David Lazer. 2009. Inferring friendship network structure by using mobile phone data. Proceedings of the national academy of sciences 106, 36(2009), 15274-15278.
14. Salma Elmalaki, Lucas Wanner, and Mani Srivastava. 2015. CAreDroid: Adaptation Framework for Android Context-Aware Applications. In Proceedings of the 21st Annual International Conference on Mobile Computing and Networking. ACM, 386-399.
15. Denzil Ferreira, Vassilis Kostakos, and Anind K Dey. 2015. AWARE: mobile context instrumentation framework. Frontiers in ICT 2(2015), 6.
16. Michal Ficek, Nathaniel Clark, and Lukáš Kencl. 2012. Can crowdsensing beat dynamic cell-ID?. In Proceedings of the Third International Workshop on Sensing Applications on Mobile Phones. ACM, 10.
17. Jon Froehlich, Mike Y Chen, Sunny Consolvo, Beverly Harrison, and James A Landay. 2007. MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones. In Proceedings of the 5th international conference on Mobile systems, applications and services. ACM, 57-70.
18. R. K. Ganti, F. Ye, and H. Lei. 2011. Mobile Crowdsensing: Current state and Future Challenges. IEEE Communications Magazine 49(2011), 32-39.
19. John Hicks, Nithya Ramanathan, Donnie Kim, Mohamad Monibi, Joshua Selsky, Mark Hansen, and Deborah Estrin. 2010. AndWellness: an open mobile system for activity and experience sampling. In Wireless Health 2010. ACM, 34-43.
20. Sibren Isaacman, Richard Becker, Ramón Cáceres, Stephen Kobourov, Margaret Martonosi, James Rowland, and Alexander Varshavsky. 2011. Identifying important places in people's lives from cellular network data. In Pervasive Computing. Springer, 133-151.
21. PP Jayaraman, A. Sinha, W. Sherchan, S. Krishnaswamy, A. Zaslavsky, P. Delir Haghighi, S. Loke, and M. Thang Do. 2012. Here-n-Now: A Framework for Context-Aware Mobile Crowdsensing. In Proceedings of the Tenth International Conference on Pervasive Computing, UK.
22. Kleomenis Katevas, Hamed Haddadi, and Laurissa Tokarchuk. 2014. Poster: Sensingkit: A multi-platform mobile sensing framework for large-scale experiments. In Proceedings of the 20th annual international conference on Mobile computing and networking. ACM, 375-378.
23. Nicholas D Lane, Yohan Chon, Lin Zhou, Yongzhe Zhang, Fan Li, Dongwon Kim, Guanzhong Ding, Feng Zhao, and Hojung Cha. 2013. Piggyback CrowdSensing (PCS): energy efficient crowdsourcing of mobile sensor data by exploiting smartphone app opportunities. In Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems. ACM, 7.
24. Nicholas D Lane, Ye Xu, Hong Lu, Shaohan Hu, Tanzeem Choudhury, Andrew T Campbell, and Feng Zhao. 2011. Enabling large-scale human activity inference on smartphones using community similarity networks (CSN). In Proceedings of the 13th international conference on Ubiquitous computing. ACM, 355-364.
25. Suhas Mathur, Tong Jin, Nikhil Kasturirangan, Janani Chandrasekaran, Wenzhi Xue, Marco Gruteser, and Wade Trappe. 2010. Parknet: drive-by sensing of road-side parking statistics. In Proceedings of the 8th international conference on Mobile systems, applications, and services. ACM, 123-136.
26. Richard P Mattick and J. Christopher Clarke. 1998. Development and validation of measures of social phobia scrutiny fear and social interaction anxiety. Behaviour research and therapy 36, 4(1998), 455-470.
27. Vikas O'Reilly-Shah and Sean Mackey. 2016. Survalytics: An Open-Source Cloud-Integrated Experience Sampling, Survey, and Analytics and Metadata Collection Module for Android Operating System Apps. JMIR mHealth and uHealth 4, 2(2016), e46.
28. Moo-Ryong Ra, Bin Liu, Tom F La Porta, and Ramesh Govindan. 2012. Medusa: A programming framework for crowd-sensing applications. In Proceedings of the 10th international conference on Mobile systems, applications, and services. ACM, 337-350.
29. Mashfiqui Rabbi, Shahid Ali, Tanzeem Choudhury, and Ethan Berke. 2011. Passive and in-situ assessment of mental and physical well-being using mobile sensors. In Proceedings of the 13th international conference on Ubiquitous computing. ACM, 385-394.
30. K. K. Rachuri., C. Mascolo, M. Musolesi, and P. J. Rentfrow. 2011. Sociablesense: exploring the trade-offs of adaptive sampling and computation offloading for social sensing. In Proceedings of MobiCom. ACM, 73-84.
31. Mika Raento, Antti Oulasvirta, and Nathan Eagle. 2009. Smartphones an emerging tool for social scientists. Sociological methods & research 37, 3(2009), 426-454.
32. Sasank Reddy, Deborah Estrin, and Mani Srivastava. 2010. Recruitment framework for participatory sensing data collections. In Pervasive Computing. Springer, 138-155.
33. Joel Ross, Lilly Irani, M. Silberman, Andrew Zaldivar, and Bill Tomlinson. 2010. Who are the crowdworkers?: shifting demographics in mechanical turk. In CHI'10 extended abstracts on Human factors in computing systems. ACM, 2863-2872.
34. Saul Shiffman, Arthur A Stone, and Michael R Hufford. 2008. Ecological momentary assessment. Annu. Rev. Clin. Psychol. 4(2008), 1-32.
35. Adish Singla and Andreas Krause. 2013. Incentives for privacy tradeoff in community sensing. In First AAAI Conference on Human Computation and Crowdsourcing. 165-173.
36. Leye Wang, Daqing Zhang, and Haoyi Xiong. 2013. effSense: energy-efficient and cost-effective data uploading in mobile crowdsensing. In Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication. ACM, 1075-1086.
37. Leye Wang, Daqing Zhang, Haoyi Xiong, John Paul Gibson, Chao Chen, and Bing Xie. 2016. ecoSense: Minimize Participants' Total 3G Data Cost in Mobile Crowdsensing Using Opportunistic Relays. Systems, Man, and Cybernetics: Systems, IEEE Transactions on (2016), 1-14.
38. Rui Wang, Fanglin Chen, Zhenyu Chen, Tianxing Li, Gabriella Harari, Stefanie Tignor, Xia Zhou, Dror Ben-Zeev, and Andrew T Campbell. 2014. Studentlife: assessing mental health, academic performance and behavioral trends of college students using smartphones. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 3-14.
39. Rui Wang, Gabriella Harari, Peilin Hao, Xia Zhou, and Andrew T Campbell. 2015. SmartGPA: how smartphones can assess and predict academic performance of college students. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 295-306.
40. Harald Weinschrott, Julian Weisser, Frank Durr, and Kurt Rothermel. 2011. Participatory sensing algorithms for mobile object discovery in urban areas. In Pervasive Computing and Communications (PerCom), 2011 IEEE International Conference on. IEEE, 128-135.
41. Yu Xiao, Pieter Simoens, Padmanabhan Pillai, Kiryong Ha, and Mahadev Satyanarayanan. 2013. Lowering the barriers to large-scale mobile crowdsensing. In Mobile Computing Systems and Applications.
42. Haoyi Xiong, Daqing Zhang, Guanling Chen, Leye Wang, and Vincent Gauthier. 2015. CrowdTasker: Maximizing coverage quality in Piggyback Crowdsensing under budget constraint. In Pervasive Computing and Communications (PerCom), 2015 IEEE International Conference on. IEEE, 55-62.