Social Computing

In the context of a myriad of mobile apps which collect personally identifiable information (PII) and a prospective market place of personal data, we investigate a user-centric monetary valuation of mobile PII. During a 6-week long user study in a living lab deployment with 60 participants, we collected their daily valuations of 4 categories of mobile PII (communication,
e.g. phonecalls made/received, applications, e.g. time spent on different apps, location and media, e.g. photos taken) at three levels of complexity (individual data points, aggregated statistics and processed, i.e. meaningful interpretations of the data). In order to obtain honest valuations, we employ a reverse second price auction mechanism. Our findings show that the most sensitive and valued category of personal information is location. We report statistically significant associations between actual mobile usage, personal dispositions, and bidding behavior. Finally, we outline key implications for the design of mobile services and future markets of personal data.

Selected Papers

  • Money Walks: A Human-Centric Study on the Economics of Personal Mobile Data
    Jacopo Staiano, Nuria Oliver, Bruno Lepri, Rodrigo de Oliveira, Michele Caraviello, Nicu Sebe
    ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp), 2014.(Best Paper Award) [PDF][BibTex]
  • On the relationship between head pose, social attention and personality prediction for unstructured and dynamic group interactions
    Ramanathan Subramanian, Yan Yan, Jacopo Staiano, Oswald Lanz, Nicu Sebe
    ACM International Conference on Multimodal Interaction (ICMI), 2013. [PDF][BibTex]