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Privacy, Altruism, and Experience: Estimating the Perceived Value of\n Internet Data for Medical Uses

2019/06/20 by Gilie Gefen, Gefen, Gilie, Omer Ben-Porat +5 · 1 citation
Health Professions · Social Sciences · #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Patient-Provider Communication in Healthcare #Privacy, Security, and Data Protection

paper · pdf · doi:10.48550/arxiv.1906.08562

openalex publication_date 2019/06/20 · openalex created_date 2022/07/28 · openalex updated_date 2026/07/28

Abstract

People increasingly turn to the Internet when they have a medical condition.\nThe data they create during this process is a valuable source for medical\nresearch and for future health services. However, utilizing these data could\ncome at a cost to user privacy. Thus, it is important to balance the perceived\nvalue that users assign to these data with the value of the services derived\nfrom them. Here we describe experiments where methods from Mechanism Design\nwere used to elicit a truthful valuation from users for their Internet data and\nfor services to screen people for medical conditions. In these experiments, 880\npeople from around the world were asked to participate in an auction to provide\ntheir data for uses differing in their contribution to the participant, to\nsociety, and in the disease they addressed. Some users were offered monetary\ncompensation for their participation, while others were asked to pay to\nparticipate. Our findings show that 99 % of people were willing to contribute\ntheir data in exchange for monetary compensation and an analysis of their data,\nwhile 53 % were willing to pay to have their data analyzed. The average\nperceived value users assigned to their data was estimated at US\$49. Their\nvalue to screen them for a specific cancer was US\$22 while the value of this\nservice offered to the general public was US\$22. Participants requested higher\ncompensation when notified that their data would be used to analyze a more\nsevere condition. They were willing to pay more to have their data analyzed\nwhen the condition was more severe, when they had higher education or if they\nhad recently experienced a serious medical condition.\n

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