{"id":601,"date":"2020-07-20T22:27:38","date_gmt":"2020-07-20T20:27:38","guid":{"rendered":"http:\/\/wp.unil.ch\/persuasivelab\/?p=601"},"modified":"2026-03-17T13:20:21","modified_gmt":"2026-03-17T12:20:21","slug":"multiparty-privacy-conflicts-mpc","status":"publish","type":"post","link":"https:\/\/wp.unil.ch\/persuasivelab\/2020\/07\/multiparty-privacy-conflicts-mpc\/","title":{"rendered":"Multiparty Privacy Conflicts (MPCs)"},"content":{"rendered":"

Internet users share ever-increasingly multimedia content online (i.e. photos and videos). Most of the shared contents are co-owned data depicting more than one user (e.g., group photos). Sharing co-owned multimedia content without getting consent causes Multiparty Privacy Conflicts (MPCs) and it might have severe privacy implications on the users\u2019 life. <\/span>In this project, we aim the design and evaluation of novel technological interventions to deter users from sharing multimedia content with other users without their consent. In this project, we design usable privacy-preserving technologies. We also use different experimental approaches such as user studies and longitudinal intervention studies to understand users\u2019 preferences and the effectiveness of the designed strategies in everyday life where real MPC incidences might occur.<\/span><\/p>\n

In the first phase of the project, we take a user-centric approach and ask MPC-experienced users to design with us and reflect on their experience and creativity to design novel and effective solutions against MPC. We use the well-known participatory design<\/strong><\/em> approach inviting social media users who caused MPC and those who suffered from MPC to attend various participatory design activities. In particular, we are interested to explore how existing practices in the justice systems such as deterrence or restoration can be applied in the MPC context and online social networks. The results of the participatory design study are published in a flagship design conference: ACM DIS 2021<\/span>.<\/span><\/p>\n

In another attempt,\u00a0\u00a0we study how persuasive technologies can influence users toward more considerate and mindful behavior. We explore the use of different persuasive approaches such as reward, punishment, and empathy to discourage users from sharing online. In particular, we designed dissuasive mechanisms<\/strong><\/em>; design frictions in the interaction flow that works as mini hurdles to nudge users toward considerate sharing. The results of this study are published in a prestigious HCI venue: ACM CSCW 2021<\/span>.In the second phase of the project, we leveraged the power of <\/span>i<\/span>nteractive argumentation for conflict resolution. We investigated the potential of a mediator chatbot (called MediationBot<\/strong><\/em>) to allow social media users to practice collaborative conflict resolution. Our chatbot design leads to positive findings such as consent collection, the use of middle-ground solutions by social media users, and well-clarified conversations between them. The study is published in ACM CSCW 2023<\/span>. Our group currently works on further development and investigation of mediator bots.<\/span><\/p>\n

Project Leaders:<\/strong>\u00a0Kavous Salehzadeh Niksirat<\/a>,\u00a0Diana Korka<\/a>,\u00a0Mauro Cherubini<\/a>, and\u00a0K\u00e9vin Huguenin<\/a>.<\/p>\n

UNIL Collaborators:<\/strong>\u00a0Marc-Olivier Boldi<\/a>.<\/p>\n

External Collaborators:<\/strong>\u00a0Jose Such<\/a>\u00a0(King\u2019s College London),\u00a0Hamza Harkous<\/a>\u00a0(Google).<\/p>\n

Publications<\/strong><\/p>\n