Monetize Me? Privacy and the Quantified Self in the Digital Economy
Lead Research Organisation:
The Open University
Department Name: Faculty of Sci, Tech, Eng & Maths (STEM)
Abstract
Lifelogging and self-quantifying used to be niche areas for athletes, people with certain medical conditions, and those with the time, money, and motivation to use expensive specialist equipment to monitor themselves. Now the technology for ordinary people to track and analyze many aspects of their lives is becoming both affordable and invisible, requiring little effort or expense to collect. There are many business models based on mining the so-called 'digital exhaust' of people's online activity to provide apparently free services. The fact that so many more people are now able to automatically log so many aspects of their lives (beyond which web pages they visited) is creating opportunities for new business models to actually provide services for the people generating the data. For example, some people may wish to sell their data for cash rather than give it away, some may wish to donate it to worthy scientific causes, such as health research, while others may wish to share data only in a non-identifying aggregated form or perhaps not at all. Lifelogging data can range from relatively benign (such as number of keystrokes typed in a day) to the highly personal (such as the emotional arousal state) and the ways in which the data is shared may be highly nuanced.
This project seeks to understand how the privacy and sharing requirements vary across different demographic groups and to build a sharing and privacy infrastructure specifically designed for lifelogging data.
This project seeks to understand how the privacy and sharing requirements vary across different demographic groups and to build a sharing and privacy infrastructure specifically designed for lifelogging data.
Planned Impact
We propose a number of specific pathways to impact which are based on strong existing stakeholder relationships and ones which we will foster as the project progresses. The project impacts will stem from the range of engagement activities planned, both within the NEMinDE community and project stakeholders. The proposed research will benefit from an advisory board comprising representatives from the QS community, Lifelogging App Development organizations, Consultancy Organizations, Academics and the UK's Information Commissioner. The advisory board will guide the development of the empirical phases and, in particular, will assist the project team in creating short, medium and long term impacts for the work. Activities aimed at creating impact will include:
Academic dissemination (AD): in scholarly and technical venues. This activity will create impacts within the academic community in terms of new thinking about privacy and appropriate NGOs which should eventually influence the adoption of technical standards;
Alumni network and regional contacts (ANRC): the OU's huge alumni network of business practitioners hold regular events where OU research is disseminated. We would take full advantage of this to inform our community about privacy issues within lifelogging and responsible business models for companies handling lifelogging data;
Community engagement (CE): engagement with the specific communities involved through their blogs and fora. This includes not only the QS community but broader consumers of lifelogging devices and online services related to them, including consumers with low levels of health literacy;
Media engagement (ME): trade press, consumer press, broadsheets and BBC proprietary programming. In order to continue to empower the consumer, we would utilise our considerable media contacts and expertise to broadcast the results of the research to a wider audience;
Programme workshops (PW): to discuss relevant privacy research across NEMinDE, to create potential synergies with other funded projects in the programme;
Strategic visioning workshops (SVW): for business participants as part of the project's activities and on an on-going basis afterwards. This would create impacts within the business community and ensure our third deliverable is understood by its respective stakeholder group; and
Stakeholder workshops (SW): to be held at the end of the project to share results. Separate workshops would be held for consumers, including those with low health literacy levels; private sector and regulators/industry bodies. In particular this would help to generate a future research agenda as well as define any intellectual property which may arise from the project.
Academic dissemination (AD): in scholarly and technical venues. This activity will create impacts within the academic community in terms of new thinking about privacy and appropriate NGOs which should eventually influence the adoption of technical standards;
Alumni network and regional contacts (ANRC): the OU's huge alumni network of business practitioners hold regular events where OU research is disseminated. We would take full advantage of this to inform our community about privacy issues within lifelogging and responsible business models for companies handling lifelogging data;
Community engagement (CE): engagement with the specific communities involved through their blogs and fora. This includes not only the QS community but broader consumers of lifelogging devices and online services related to them, including consumers with low levels of health literacy;
Media engagement (ME): trade press, consumer press, broadsheets and BBC proprietary programming. In order to continue to empower the consumer, we would utilise our considerable media contacts and expertise to broadcast the results of the research to a wider audience;
Programme workshops (PW): to discuss relevant privacy research across NEMinDE, to create potential synergies with other funded projects in the programme;
Strategic visioning workshops (SVW): for business participants as part of the project's activities and on an on-going basis afterwards. This would create impacts within the business community and ensure our third deliverable is understood by its respective stakeholder group; and
Stakeholder workshops (SW): to be held at the end of the project to share results. Separate workshops would be held for consumers, including those with low health literacy levels; private sector and regulators/industry bodies. In particular this would help to generate a future research agenda as well as define any intellectual property which may arise from the project.
Organisations
- The Open University (Lead Research Organisation)
- Economic and Social Research Council (Co-funder)
- Milton Keynes Hospital NHS Foundation Trust (Collaboration)
- London Quantified Self Group (Project Partner)
- Narrato Limited (Project Partner)
- Information Commissioners Office (Project Partner)
- Blue Latitude Network Limited (Project Partner)
- King's College London (Project Partner)
- E.ON (United Kingdom) (Project Partner)
Publications
Gooch D
(2020)
How are you feeling?
Hutton L
(2018)
Assessing the Privacy of mHealth Apps for Self-Tracking: Heuristic Evaluation Approach.
in JMIR mHealth and uHealth
Hutton L
(2017)
Transparent Data Mining for Big and Small Data
Katz D
(2018)
Data, Data Everywhere, and Still Too Hard to Link
Kelly R
(2021)
Measuring Daily Compliance With Physical Activity Tracking in Ambulatory Surgery Patients: Comparative Analysis of Five Compliance Criteria.
in JMIR mHealth and uHealth
Description | The research aimed to uncover the privacy requirements of those who engage in quantified self practices as well as examine the potential for privacy friendly business models in QS startups.. We interviewed and ran focus groups with both QS specialists and everyday users of devices such as FitBit or Jawbone. Using Solove's privacy framework as well as Koops et al's new privacy framework and communications privacy management theory we established the importance of privacy requirements in QS as a form of intimacy between the user and their device. They were especially concerned about unauthorised information sharing beyond their device and their immediate confidantes, for example to more distant acquaintances or third party organizations. These findings were established via ten key informant interviews and twenty eight focus groups. We also discovered that privacy did not feature in the business models of start ups in the QS domain. Instead, start ups were more concerned about being bought up by major players who were seen by those startups as the arbiters of more consistent and well established privacy policies. During the course of the research we developed a coding methodology which was based on communications privacy management theory and developed it into a qualitative data coding tool for use in further research. We also developed a privacy heuristic for establishing the privacy friendliness of different QS apps. |
Exploitation Route | To underpin the need for strong, visible privacy self-management settings in any QS application. |
Sectors | Digital/Communication/Information Technologies (including Software) Healthcare |
Description | Findings have led to a patent application for a wearable device to improve privacy awareness and to the design of devices used in hospital to help patients self-report pain. The pain logging device has also lead to a patent application. |
First Year Of Impact | 2017 |
Sector | Digital/Communication/Information Technologies (including Software),Education,Healthcare |
Impact Types | Economic |
Description | Written Evidence to House of Lords Select Committeee |
Geographic Reach | National |
Policy Influence Type | Contribution to a national consultation/review |
URL | http://oro.open.ac.uk/68064/ |
Description | Citizen Forensics |
Amount | £1,093,594 (GBP) |
Funding ID | EP/R033862/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 08/2018 |
End | 08/2022 |
Description | Exploring Community Responses To Health-related Community Displays |
Amount | £19,401 (GBP) |
Funding ID | BB/T018194/1 |
Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
Sector | Public |
Country | United Kingdom |
Start | 02/2020 |
End | 09/2020 |
Description | SAUSE |
Amount | £1,330,879 (GBP) |
Funding ID | EP/R013144/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 03/2018 |
End | 03/2023 |
Description | SAUSE: Secure, Adaptive, Usable Software Engineering |
Amount | £1,330,879 (GBP) |
Funding ID | EP/R013144/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 03/2018 |
End | 03/2024 |
Description | SERVICE: Social and Emotional Resilience for the Vulnerable Impacted by the COVID-19 Emergency |
Amount | £400,243 (GBP) |
Funding ID | EP/V027263/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 07/2020 |
End | 01/2022 |
Description | STRETCH |
Amount | £1,049,532 (GBP) |
Funding ID | EP/P01013X/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 03/2017 |
End | 03/2020 |
Title | Google Play Store scraper for health apps |
Description | This code allows researchers to extract a list of apps from the google play store according to set criteria. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2018 |
Provided To Others? | Yes |
Impact | This was enabling software to allow a study of specific app usage for mHealth. |
URL | https://bitbucket.org/ou-rse/playstorescraper/ |
Title | Heuristics for Privacy Analysis of Quantified Self mHealth Apps |
Description | A set of privacy heuristics were developed to allow comparison between mHealth Quantified Self apps. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2018 |
Provided To Others? | Yes |
Impact | Tools were only recently released so no notable impacts at present. |
URL | https://figshare.com/articles/Quantified_Self_Privacy_Heuristics_v1/5514082 |
Title | PainPad Hardware, iOS/Android Apps and backend infrastructure |
Description | The PainPad hardware device (recently patented) along with a two new apps (one for nurses and one for patients) and the backend infrastructure to support them allows in-patients at Milton Keynes Unviersity Hospital to self-log pain in order to save nurse time as well as to produce data to inform future treatment. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2023 |
Provided To Others? | No |
Impact | Nurses can now have live self-reported pain data so they can intervene with analgesia before pain becomes severe. The data sets produced have lead to 3 medical papers currently in preparation or under review. |
URL | https://play.google.com/store/apps/details?id=pain.pad&hl=en_US |
Title | London Quantified Self Group Survey Data 2014 |
Description | These are the results of the London Quantified Self Group survey of tools and practices. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
Impact | This is the first survey of tool use of the pioneering quantified self community |
URL | https://figshare.com/articles/London_Quantified_Self_Group_Survey_2014/5505805 |
Title | Selected Apps for each category based on popularity in Google Play Store |
Description | This is a snapshot of the most popular apps in each of the categories identified. |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
Impact | Impacts from this may not be realised yet but this will provide a baseline to track change in quantified self apps. |
URL | https://doi.org/10.21954/ou.rd.5507146 |
Description | Milton Keynes University Hospital |
Organisation | Milton Keynes Hospital NHS Foundation Trust |
Country | United Kingdom |
Sector | Public |
PI Contribution | Development of lifelogging devices for pain logging. |
Collaborator Contribution | Medical expertise, helping supply study participants |
Impact | Outputs are still pending as studies are still running |
Start Year | 2014 |
Title | Methods, devices and systems for controlling access to data |
Description | A server monitors data requests and if a data request is detected which corresponds to a predetermined type of data request, notifying the user of the detected data request via a haptic feedback mechanism 11 provided on a wearable device 1 which is communicably coupled with the server. The wearable device 1 is preferably an armband with at least first and second touch sensitive inputs12a, 12b to allow the user to selectively deny or allow the data request. The haptic feedback mechanism preferably has different levels of intensity depending on the type of data request. |
IP Reference | GB2549991 |
Protection | Patent application published |
Year Protection Granted | 2017 |
Licensed | No |
Impact | Other patents applied for in USA. |
Title | Transcript coding tool |
Description | This tool allows multiple coder to tag transcripts for pre-set themes in a browser based tool in order to identify agreement on frequency of themes discussed. |
Type Of Technology | Webtool/Application |
Year Produced | 2017 |
Open Source License? | Yes |
Impact | No impact yet as not formally announced or publicised. |
URL | https://github.com/ciaranmccormick/mm-transcription-server/tree/master |
Company Name | Healthtech Un Ltd |
Description | |
Year Established | 2017 |
Impact | Currently deployed technology in 2 wards of Milton Keynes University Hospital with one additional hospital trialling it. |
Description | Monetize Me? Privacy and the Quantified Self: New business models in the Digital Economy |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | The business environment that we are operating in has been transformed by digital technology, presenting a host of opportunities across all business sectors. The Quantified Self (QS) is constantly creating new types of information about us, which we may want to share or to keep private. At this workshop we will present a number of possible future scenarios, and invite you to discuss their implications for the future of QS. Key questions on the agenda will be: How can we stay in control of our personal data, and its monetization where appropriate, while engaging with organisations to obtain the products and services that we want? What are the new business models that organisations need to adopt, in order to persuade us that our privacy will be protected while we engage in transactions of all kinds? |
Year(s) Of Engagement Activity | 2017 |
URL | https://www.eventbrite.co.uk/e/monetize-me-privacy-and-the-quantified-self-new-business-models-in-th... |
Description | Patient Group Workshop London |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Patients, carers and/or patient groups |
Results and Impact | Workshop 3: Triggering acquired knowledge for self-care How do we design UIs that trigger the user's acquired knowledge at the appropriate time? We all depend on our acquired knowledge to make better informed decisions. For people with diabetes who must make important decisions each day, such knowledge gained through experience and trial and error, is crucial for sustainable self-care. In this 1 day we will explore how technology can help to build and activate these important mental models. Goals: Exploring methods of interaction to help people with diabetes make use of their personal acquired knowledge. This 1 day session we will brainstorm, prototype and test ideas for: Smartphones Smartwatches Voice (Echo, Siri) Chatbots Light Adaptive interfaces Contextual awareness |
Year(s) Of Engagement Activity | 2017 |
URL | http://www.ideas4diabetes.com/lesson/london/ |
Description | Prof Meadows Keynote at Big Data, Business and Society, London Met University |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Professional Practitioners |
Results and Impact | Keynote address at a one day conference of HR Proessionals and Academics |
Year(s) Of Engagement Activity | 2018 |
Description | Pyliss Court Invited Lecture |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Public/other audiences |
Results and Impact | An invited talk at https://www.phylliscourt.co.uk/ following on from my previous talk at the Royal College of Physicians about patients self-logging data to improve or monitor health. |
Year(s) Of Engagement Activity | 2020 |
URL | https://youtu.be/rrETqfsbSxI |
Description | Royal College of Physicians Public Lecture |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Public/other audiences |
Results and Impact | Public lecture at Royal College of Physicians including practictioners and the general public, covered use of consumer self-logging devices for medical and health purposes. Disusussion afterwards led to follow on talk at a London Club and research contacts |
Year(s) Of Engagement Activity | 2020 |
URL | https://www.rcplondon.ac.uk/events/public-lecture-please-dont-show-me-your-data-yet |
Description | Strategic Visioning Workshop QS17 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Strategic Visioning Workshop on Monetisation of Quantified Self Data with Practitioners and SMEs |
Year(s) Of Engagement Activity | 2017 |
URL | http://quantifiedself.com/2016/10/qs17-join-us-june-17-18-amsterdam-quantified-self-conference/ |
Description | Workshop 1: Improving interaction with data for diabetes patients |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Patients, carers and/or patient groups |
Results and Impact | Workshop 1: Improving interaction with data How can we design more engaging User Interfaces that help people more easily understand their personal diabetes data? This workshop will bring together a diverse and interdisciplinary group to explore new and easier to understand ways of communicating personal data, in order to help people with diabetes to make better treatment decisions. Moving beyond graphs, charts and tables to discover new and more intuitive ways of interacting with diabetes data such as blood glucose values, exercise, insulin dosages, food and other relevant information. |
Year(s) Of Engagement Activity | 2017 |
URL | http://www.ideas4diabetes.com/lesson/berlin/ |
Description | Workshop 2: Emotional Sensitivity for Diabetes Apps |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Patients, carers and/or patient groups |
Results and Impact | Workshop 2: Emotional Sensitivity How can we design emotionally sensitive interfaces that draw attention to important but unwelcome information while continuing to engage the user? For people with diabetes managing blood glucose levels can be a frustrating experience. Interfaces need to alert users to important situations, while being sensitive to the users emotional state. It is especially important to keep users engaged and not add to their daily stress level. In this 1 day workshop we will consider how we might move beyond current strategies, and create more sensitive interactions. |
Year(s) Of Engagement Activity | 2017 |
URL | http://www.ideas4diabetes.com/lesson/heidelberg/ |