Privacy Concerns in Sharing Personal Consumption Data through Online Applications
•Transferir como PPTX, PDF•
1 gostou•362 visualizações
In Proc. of the 12th International Wireless Communications & Mobile Computing Conference (IWCMC), Paphos, Cyprus, September 2016.
Recomendados
Recomendados
Mais conteúdo relacionado
Mais procurados
Mais procurados (20)
Semelhante a Privacy Concerns in Sharing Personal Consumption Data through Online Applications
Semelhante a Privacy Concerns in Sharing Personal Consumption Data through Online Applications (20)
Mais de Andreas Kamilaris
Mais de Andreas Kamilaris (20)
Último
Último (20)
Privacy Concerns in Sharing Personal Consumption Data through Online Applications
- 1. Andreas Kamilaris Postdoc Researcher IWCMC 2016 Dept. of Computer Science 5-9 September 2016 University of Cyprus Privacy Concerns in Sharing Personal Consumption Data through Online Applications
- 2. Motivation
- 4. Social Electricity Online Platform (SEOP) January 2014
- 6. Best Green ICT Application in 2012
- 8. 300,000 domestic premises 2-month periods 3-year historical information 10.900,000 electricity measurements Cyprus Case Study
- 9. Better engagement! Energy Savings! 0 10 20 30 40 50 1 11 21 31 41 51 61 71 Visits(x100) Day TOTAL VISITS Cyprus Case Study Understanding about Consumption!
- 10. Cyprus Case Study Total Participants: 198 Male 126 (63.6%) Female 72 (36.4%) 18-24 62 (31.3%) 25-34 97 (49.0%) 35-49 32 (16.2%) 50-64 7 (3.5%) 1. Online questionnaire (Likert-scale and yes/no questions) 2. Semi-structured mini focus group sessions Total Participants: 14 Male 8 (57.1%) Female 6 (42.9%) 18-24 7 (50.0%) 26-32 7 (50.0%)
- 11. Cyprus Case Study: Questionnaires • 85% are willing to share their personal consumption with their online friends. • 23% have some concerns about the overall privacy, e.g. their personal consumption revealed to third parties. • 60% (of those having concerns) declared willing to share their consumption only with people they trusted. • 59% (of those having concerns) were positive to share only some indicators of their personal consumption. • 59% would feel more comfortable if the sharing of consumption data involved street/neighborhood data (instead of personal consumptions).
- 12. Reasons for being reluctant: • Consider those data strictly private. • Not trusting all of their online contacts. • Worries of being exposed to thieves. • Avoid the curiosity of the public about one’s consumption (e.g. large consumption can be indication of wealth). • Personal data could be revealed to third parties (e.g. for advertising). Specific concerns on the application: • Display of real-time personal consumption data (high) • Display of weekly/monthly consumption data (low) • Showing exact location where they live on the map (medium) Cyprus Case Study: Questionnaires
- 13. Cyprus Case Study: Questionnaires
- 14. Cyprus Case Study: Focus Groups • “sharing personal data with online friends I trust is OK, as long as this would happen for a good purpose” • “common benefits overcome the risks” • ”the government and many companies know already a lot about us” • “banks constitute more serious privacy risks as they know much about our personal lives” • “it is our duty to share our consumption, because our habits affect the environment and the society” • “sharing only energy savings instead of consumption could satisfy some privacy concerns” • “encourage thieves to attempt to steal when the owner is not there” • “sometimes people you trust span across multiple categories”
- 15. Singapore Case Study Total Participants: 175 Male 59 (33.7%) Female 116 (66.3%) 18-24 157 (89.7%) 25-34 15 (10.3%) • Undergraduate students of the National University of Singapore. • The use of Social Electricity assigned as semester project. • Participation rewarded with a 5% bonus on final grade. • Results obtained from a final report/assignment prepared by the students at the end of the semester. • From the 175 students, 147 filled the final report • Possibility to participate anonymously.
- 16. Singapore Case Study: Final Report • 80% believed the application fully respected their privacy. • From the rest 20%, 12% believed they exposed some place of stay information, 4% that users could figure out their real names and 4% that they exposed their personal consumption. • 65% were willing to sacrifice their anonymity by using their real name, considering that this could put some social pressure on them to reduce their consumption: • Share with Facebook friends only (5%). • Share with students from course only (20%). • Share with students from my tutorial group only (9%). • Share with particular contacts I can choose from (17%). • Share with everyone (19 students, 10%).
- 17. Discussion • In both studies, a considerable percentage of users (20-23%) demand for more control over the sharing of their personal figures, whether this is their consumption or place of stay. • People reluctant to participate in eco-feedback studies due to these privacy issues. • Mechanisms for protecting user’s identity/location and personal consumption need to be developed. • Users are asking for application features allowing them of managing trusted contacts with whom to share sensitive data. • Sharing indicators of consumption (e.g. daily/weekly savings) might be more meaningful, with less concerns on privacy.
- 18. Discussion • Privacy circles: the Google+ approach of mapping contacts to categories. • Some users prefer a one-by-one selection of trustworthy online contacts and customized circles. • Online assistants grouping friends according to group based policy management approaches. • Automatic mapping of friends to categories based on standard clustering techniques might be promising.
- 19. Thank you! For comments/suggestions/feedback you can email me on kami@cs.ucy.ac.cy. Social Electricity App: http://www.social-electricity.com/ SEOP EU Project: http://www.seop-project.eu/
- 20. Competitions! Perceived descriptive norms Responsibility
- 21. Fair comparisons! Perceived descriptive norms Knowledge Responsibility
- 22. Simple info on how to save energy! Self-efficacy Knowledge Locus of control Environmental beliefs
- 24. More details on my energy consumption! Knowledge Self-efficacy Attitude
- 26. Comparisons among people from different cultures! Demographics Perceived descriptive norms Knowledge
- 27. Create your list of “green buddies” – collaborators for exchange of know-how and experiences towards energy savings!
- 28. Educational social games – compare your knowledge on energy with the online community!
- 29. Translation in 8 different European languages!
- 31. Envisioning the Future Renewables Collaborative Consumption Collaborative Production Personalization
Notas do Editor
- Motivation: online social networking – comparing electricity consumption data
- Comparing electricity consumption data raises privacy concerns
- A general intro to the SEOP project: mission to develop learning modules, educational content and online eco-feedback platforms, to raise the awareness and knowledge of citizens about energy, the environment and sustainability.
- An important achievement of SEOP is Social Electricity, an online application helping people to manage their personal consumption collaboratively, by interacting and comparing with friends, neighbors and other users.
- Social Electricity has been awarded the first prize at the 2nd ITU Green ICT Application Challenge.
- Two case studies: Cyprus and Singapore
- To identify the ”tolerance levels” of our users in regard to sharing electricity data, we asked them whether they would share their consumption figures with people they trusted, and with whom they would be willing to share the consumption of their neighborhood, that of their house as well as the detailed consumption of their household electrical appliances. The different user categories for sharing were: only me; family members; relatives; close friends; all friends; and everyone. The graphs are interpreted as follows: starting from ”only me” and ending to ”everyone”, each category is a superset of the previous one. For example, sharing personal consumption with relatives, this means that the user agrees to share also with his family members and himself. users have different sharing preferences, dependingonhowpersonalthedataare.While19%arewilling to share their neighborhood’s consumption with everyone, they are reluctant to do this with their home’s consumption, or the consumption of their appliances. In this case, they prefer to share it only with family members, relatives and/or close friends (aggregated 88% in home level and 77% in appliance level). A large percentage (30%) trusts only the other members of their family for sharing their detailed consumption, while only a smaller percentage (14%) wish to share their consumption at appliance level with close friends. Apparently, some users do not trust their close friends, in order to share with them their personal footprint. This percentage is increased in house (36%) and neighborhood level (41%). it is remarkable that from the general to the more specific consumption data, an increasing percentage of users trust only themselves for viewing these values. This percentage starts from 5% in neighborhood level and increases up to 17% in appliance level. we asked the participants if the proposed user categories for sharing are adequate to them or they wanted to suggest some more. Some users suggested the categories of ”colleagues” (9) and ”business contacts” (6). Many users asked to manually select one-by-one with whom to share their personal data (17) while two users proposed sub-categories below the main categories, for example for selecting only some trustworthy contacts from the list of close friends/relatives.