Enhancing citizens trust in technologies for data donation in clinical research: validation of a design prototype

Mobile phones, wearable trackers and Internet of Things devices continuously produce data about our health and lifestyle that can be used for medical research. However, how data is accessed, by whom and for what purpose is not always understood. This lack of transparency undermines citizens trust in the use of such technologies for research purposes. This paper proposes a set of 6 use cases and related mock-up interfaces for citizen science, mobile-based health research: “Curated information about the institution”, “Sequential consent of shared data”, “Updates from the institution”, “Privacy notifications”, “Overview of donated data” and “Personal impact in medical research”. Interviews and Kano analysis of the interfaces with 6 prospective users show that all except “Privacy notifications” are perceived as important and beneficial for increasing users’ trust. The defined use cases can guide the development of future data collection platforms.

[1]  Suwon Kim,et al.  User preference for an IoT healthcare application for lifestyle disease management , 2017 .

[2]  David Lund,et al.  Dynamic Consent: A Possible Solution to Improve Patient Confidence and Trust in How Electronic Patient Records Are Used in Medical Research , 2015, JMIR medical informatics.

[3]  Edgar A. Whitley,et al.  Dynamic Consent: A solution to improve patient confidence and trust in how electronic patient records are used in medical research? , 2015 .

[4]  Konstantinos Christoglou,et al.  Using SERVQUAL and Kano research techniques in a patient service quality survey. , 2006, World hospitals and health services : the official journal of the International Hospital Federation.

[5]  R. Bonney,et al.  Next Steps for Citizen Science , 2014, Science.

[6]  John Zimmerman,et al.  Research through design as a method for interaction design research in HCI , 2007, CHI.

[7]  Simone Fischer-Hübner,et al.  Usable Transparency Enhancing Tools : A Literature Review , 2017 .

[8]  Dario Salvi,et al.  Mobistudy: An Open Mobile-Health Platform for Clinical Research , 2019, 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE).

[9]  L. Faulkner Beyond the five-user assumption: Benefits of increased sample sizes in usability testing , 2003, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[10]  Ben Goldacre,et al.  Big health data: the need to earn public trust , 2016, British Medical Journal.

[11]  Mamunur Rashid,et al.  A REVIEW OF STATE-OF-ART ON KANO MODEL FOR RESEARCH DIRECTION , 2011 .

[12]  Andrés Lucero,et al.  Using Affinity Diagrams to Evaluate Interactive Prototypes , 2015, INTERACT.

[13]  Donald A. Norman,et al.  User Centered System Design: New Perspectives on Human-Computer Interaction , 1988 .

[14]  Patrick Murmann,et al.  Usable transparency for enhancing privacy in mobile health apps , 2018, MobileHCI Adjunct.

[15]  Phillip A. Laplante,et al.  The Internet of Things in Healthcare: Potential Applications and Challenges , 2016, IT Professional.

[16]  Joseph S. Dumas,et al.  Moderating Usability Tests: Principles and Practices for Interacting: Principles and Practices for Interacting , 2008 .

[17]  Thijs Veugen,et al.  Transparency Enhancing Tools (TETs): An Overview , 2013, 2013 Third Workshop on Socio-Technical Aspects in Security and Trust.

[18]  M. Angela Sasse,et al.  Desperately seeking assurances: Segmenting users by their information-seeking preferences , 2014, 2014 Twelfth Annual International Conference on Privacy, Security and Trust.

[19]  Gabriele Lenzini,et al.  Envisioning secure and usable access control for patients , 2014, 2014 IEEE 3nd International Conference on Serious Games and Applications for Health (SeGAH).

[20]  Ana Ferreira,et al.  Can Transparency Enhancing Tools Support Patient's Accessing Electronic Health Records? , 2015, WorldCIST.

[21]  Yong Liu,et al.  Do I Do What I Say?: Observed Versus Stated Privacy Preferences , 2007, INTERACT.

[22]  Jana M Pownell,et al.  Using Readability to Explore Data Privacy Statements Within Mobile Health Applications , 2020, Computers, informatics, nursing : CIN.

[23]  Simone Fischer-Hübner,et al.  Tools for Achieving Usable Ex Post Transparency: A Survey , 2017, IEEE Access.

[24]  Wei Xiang,et al.  Internet of Things for Smart Healthcare: Technologies, Challenges, and Opportunities , 2017, IEEE Access.

[25]  Patrick Murmann,et al.  Eliciting Design Guidelines for Privacy Notifications in mHealth Environments , 2019, Int. J. Mob. Hum. Comput. Interact..