Towards personalizing participation in health studies

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Towards personalizing participation in health studies. / Manea, Vlad; Hansen, Mads Schnoor; Elbeyi, Semahat Ece; Wac, Katarzyna.

HealthMedia 2019 - Proceedings of the 4th International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2019. Association for Computing Machinery, 2019. p. 32-39.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

Manea, V, Hansen, MS, Elbeyi, SE & Wac, K 2019, Towards personalizing participation in health studies. in HealthMedia 2019 - Proceedings of the 4th International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2019. Association for Computing Machinery, pp. 32-39, 4th International Workshop for Multimedia for Personal Health and Health Care, HealthMedia 2019, in conjunction with ACM Multimedia 2019, Nice, France, 21/10/2019. https://doi.org/10.1145/3347444.3356241

APA

Manea, V., Hansen, M. S., Elbeyi, S. E., & Wac, K. (2019). Towards personalizing participation in health studies. In HealthMedia 2019 - Proceedings of the 4th International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2019 (pp. 32-39). Association for Computing Machinery. https://doi.org/10.1145/3347444.3356241

Vancouver

Manea V, Hansen MS, Elbeyi SE, Wac K. Towards personalizing participation in health studies. In HealthMedia 2019 - Proceedings of the 4th International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2019. Association for Computing Machinery. 2019. p. 32-39 https://doi.org/10.1145/3347444.3356241

Author

Manea, Vlad ; Hansen, Mads Schnoor ; Elbeyi, Semahat Ece ; Wac, Katarzyna. / Towards personalizing participation in health studies. HealthMedia 2019 - Proceedings of the 4th International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2019. Association for Computing Machinery, 2019. pp. 32-39

Bibtex

@inproceedings{a873c6daa35f410ba7d01b0fd17138ff,
title = "Towards personalizing participation in health studies",
abstract = "There is substantial evidence on the relevant factors that motivate participation in human subject studies and the expectations of participants when sharing their health data for research. However, most human subject studies focus on participant eligibility and data collection, omitting even a rudimentary use of the factors that motivate participation. We illustrate an approach to use motivation to construct personalized stories and exemplify it by using a chatbot under development towards monitoring, analyzing, and influencing health study participation, engagement, and retention. Additionally, we discuss the new advantages, challenges, and unexplored avenues for research stemming from our approach.",
keywords = "Chatbot, Health study, Participation motivation assessment",
author = "Vlad Manea and Hansen, {Mads Schnoor} and Elbeyi, {Semahat Ece} and Katarzyna Wac",
year = "2019",
month = oct,
day = "15",
doi = "10.1145/3347444.3356241",
language = "English",
pages = "32--39",
booktitle = "HealthMedia 2019 - Proceedings of the 4th International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2019",
publisher = "Association for Computing Machinery",
note = "4th International Workshop for Multimedia for Personal Health and Health Care, HealthMedia 2019, in conjunction with ACM Multimedia 2019 ; Conference date: 21-10-2019",

}

RIS

TY - GEN

T1 - Towards personalizing participation in health studies

AU - Manea, Vlad

AU - Hansen, Mads Schnoor

AU - Elbeyi, Semahat Ece

AU - Wac, Katarzyna

PY - 2019/10/15

Y1 - 2019/10/15

N2 - There is substantial evidence on the relevant factors that motivate participation in human subject studies and the expectations of participants when sharing their health data for research. However, most human subject studies focus on participant eligibility and data collection, omitting even a rudimentary use of the factors that motivate participation. We illustrate an approach to use motivation to construct personalized stories and exemplify it by using a chatbot under development towards monitoring, analyzing, and influencing health study participation, engagement, and retention. Additionally, we discuss the new advantages, challenges, and unexplored avenues for research stemming from our approach.

AB - There is substantial evidence on the relevant factors that motivate participation in human subject studies and the expectations of participants when sharing their health data for research. However, most human subject studies focus on participant eligibility and data collection, omitting even a rudimentary use of the factors that motivate participation. We illustrate an approach to use motivation to construct personalized stories and exemplify it by using a chatbot under development towards monitoring, analyzing, and influencing health study participation, engagement, and retention. Additionally, we discuss the new advantages, challenges, and unexplored avenues for research stemming from our approach.

KW - Chatbot

KW - Health study

KW - Participation motivation assessment

UR - http://www.scopus.com/inward/record.url?scp=85074860258&partnerID=8YFLogxK

U2 - 10.1145/3347444.3356241

DO - 10.1145/3347444.3356241

M3 - Article in proceedings

SP - 32

EP - 39

BT - HealthMedia 2019 - Proceedings of the 4th International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2019

PB - Association for Computing Machinery

T2 - 4th International Workshop for Multimedia for Personal Health and Health Care, HealthMedia 2019, in conjunction with ACM Multimedia 2019

Y2 - 21 October 2019

ER -

ID: 230563873