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Analysis of The Effects of Cognitive Stress on the Reliability of Participatory Sensing

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Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2021)

Abstract

As a result of the widespread of smart devices such as smartphones, participatory sensing, which is a method of sensing and sharing information about the surrounding environment using the user’s own device, has been attracting increasing attention. However, the quality of the data relies on the attitudes of the users because they do not always give accurate and careful responses to participatory sensing tasks. In this study, we considered that the causes of the occurrence of careless responses in participatory sensing are not only the user’s attitude toward the task, but also the cognitive stress conditions surrounding the user (e.g., time limits, ambient noise, walking). In this paper, we investigated whether the ratio of correct answers and the response status of a participatory sensing task differs under stressful and normal conditions. The results showed that the cognitive stresses of noise and walking significantly reduced the ratio of correct answers, whereas the cognitive stresses of walking and time limits increased and decreased the answering time, respectively. After the experiment, we conducted a subjective evaluation questionnaire regarding the effects of stress environment conditions on the participatory sensing task. The results showed that a combination of multiple stressful environmental conditions often hindered or affected task responses.

This study was supported R. Yoshikawa and Y. Matsuda are Co-first authors in part by JST PRESTO under Grant No. JPMJPR2039.

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References

  1. Arakawa, Y., Matsuda, Y.: Gamification mechanism for enhancing a participatory urban sensing: survey and practical results. J. Inf. Process. 57(1), 31–38 (2016). https://doi.org/10.2197/ipsjjip.24.31

  2. Borromeo, R.M., Laurent, T., Toyama, M.: The influence of crowd type and task complexity on crowdsourced work quality. In: Proceedings of the 20th International Database Engineering and Applications Symposium, pp. 70–76 (2016)

    Google Scholar 

  3. Burke, J.A., et al.: Participatory sensing. Workshop on World-Sensor-Web (2006)

    Google Scholar 

  4. Carneiro, D., Castillo, J.C., Novais, P., Fernández-Caballero, A., Neves, J.: Multimodal behavioral analysis for non-invasive stress detection. Expert Syst. Appl. 39(18), 13376–13389 (2012)

    Google Scholar 

  5. Gil, Y., Michel, F., Ratnakar, V., Hauder, M., Duffy, C., Dugan, H., Hanson, P.: A task-centered framework for computationally-grounded science collaborations. In: 2015 IEEE 11th International Conference on e-Science, pp. 352–361. IEEE (2015)

    Google Scholar 

  6. Goel, M., Findlater, L., Wobbrock, J.: Walktype: using accelerometer data to accomodate situational impairments in mobile touch screen text entry. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2687–2696 (2012)

    Google Scholar 

  7. Gogami, M., Matsuda, Y., Arakawa, Y., Yasumoto, K.: Detection of careless responses in online surveys using answering behavior on smartphone. IEEE Access 9, 53205–53218 (2021)

    Article  Google Scholar 

  8. Krosnick, J.A.: Response strategies for coping with the cognitive demands of attitude measures in surveys. Appl. Cognit. Psychol. 5(3), 213–236 (1991)

    Google Scholar 

  9. Li, Q., Ma, F., Gao, J., Su, L., Quinn, C.J.: Crowdsourcing high quality labels with a tight budget. In: Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, pp. 237–246 (2016)

    Google Scholar 

  10. Maniaci, M.R., Rogge, R.D.: Caring about carelessness: participant inattention and its effects on research. J. Res. Personal. 48, 61–83 (2014)

    Google Scholar 

  11. Mao, A., Kamar, E., Chen, Y., Horvitz, E., Schwamb, M.E., Lintott, C.J., Smith, A.M.: Volunteering versus work for pay: incentives and tradeoffs in crowdsourcing. In: First AAAI Conference on Human Computation and Crowdsourcing (2013)

    Google Scholar 

  12. Mason, W., Suri, S.: Conducting behavioral research on amazon’s mechanical turk. Behav. Res. Methods 44(1), 1–23 (2012)

    Google Scholar 

  13. Mason, W., Watts, D.J.: Financial incentives and the" performance of crowds". In: Proceedings of the ACM SIGKDD Workshop on Human Computation, pp. 77–85 (2009)

    Google Scholar 

  14. Miura, A., Kobayashi, T.: Exploring tips to detect “satisficing" in an online survey: a study using university student samples. Japanese J. Soc. Psychol. 32(2), 123–132 (2016). 10.14966/jssp.0932. (in Japanese)

    Google Scholar 

  15. Miura, A., Kobayashi, T.: Influence of satisficing on online survey responses. Japanese J. Behav. 45, 1–11 (2018). (in Japanese)

    Google Scholar 

  16. Rubya, S., Numainville, J., Yarosh, S.: Comparing generic and community-situated crowdsourcing for data validation in the context of recovery from substance use disorders. In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pp. 1–17 (2021)

    Google Scholar 

  17. Sağbaş, E.A., Korukoglu, S., Balli, S.: Stress detection via keyboard typing behaviors by using smartphone sensors and machine learning techniques. J. Med. Syst. 44(4), 1–12 (2020)

    Google Scholar 

  18. Sarsenbayeva, Z., et al.: Measuring the effects of stress on mobile interaction. Proceed. ACM Interactive Mobile Wearable Ubiquit. Technol. 3(1), 1–18 (2019)

    Google Scholar 

  19. Sarsenbayeva, Z., van Berkel, N., Luo, C., Kostakos, V., Goncalves, J.: Challenges of situational impairments during interaction with mobile devices. In: Proceedings of the 29th Australian Conference on Computer-Human Interaction, pp. 477–481 (2017)

    Google Scholar 

  20. Sarsenbayeva, Z., van Berkel, N., Velloso, E., Kostakos, V., Goncalves, J.: Effect of distinct ambient noise types on mobile interaction. Proceed. ACM Interact. Mobile Wearable Ubiquit. Technol. 2(2), 1–23 (2018)

    Google Scholar 

  21. Schildbach, B., Rukzio, E.: Investigating selection and reading performance on a mobile phone while walking. In: Proceedings of the 12th International Conference on Human Computer Interaction with Mobile Devices and Services, pp. 93–102 (2010)

    Google Scholar 

  22. Simon, H.A.: Rational choice and the structure of the environment. Psychol. Rev. 63(2), 129 (1956)

    Google Scholar 

  23. Zhang, Q., Chan, A.B.: Wide-area crowd counting: multi-view fusion networks for counting in large scenes. arXiv preprint arXiv:2012.00946 (2020)

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Correspondence to Rio Yoshikawa .

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Yoshikawa, R., Matsuda, Y., Oyama, K., Suwa, H., Yasumoto, K. (2022). Analysis of The Effects of Cognitive Stress on the Reliability of Participatory Sensing. In: Hara, T., Yamaguchi, H. (eds) Mobile and Ubiquitous Systems: Computing, Networking and Services. MobiQuitous 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 419. Springer, Cham. https://doi.org/10.1007/978-3-030-94822-1_41

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  • DOI: https://doi.org/10.1007/978-3-030-94822-1_41

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