Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
Location-based services (LBS) often force users to choose between sharing real-time geolocation or compromising their user experience. Users disclose more data than is necessary for the application’s functionality when obscurity is not an option. This issue is exacerbated by social influence, which can be present through user testimonials or implicitly embedded in the network-based sharing norms of the application. To understand the impact of social influence on a location data disclosure, we ran a 3(Social proof: star ratings, user reviews, or both) x 2(Reciprocity norms: present or absent) between- subjects experiment. While these manipulations produced no direct effect on decisions, qualitative analysis of participants’ rationale revealed that related features (e.g., push notifications) and personal attitudes held significant weight.
Recommended Citation
Shore, Alexis and Cummings, James, "A Push for Obscurity: The Role of Social Influence on Mobile Location Data Disclosure" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 2.
https://aisel.aisnet.org/hicss-57/da/mobile_services/2
A Push for Obscurity: The Role of Social Influence on Mobile Location Data Disclosure
Hilton Hawaiian Village, Honolulu, Hawaii
Location-based services (LBS) often force users to choose between sharing real-time geolocation or compromising their user experience. Users disclose more data than is necessary for the application’s functionality when obscurity is not an option. This issue is exacerbated by social influence, which can be present through user testimonials or implicitly embedded in the network-based sharing norms of the application. To understand the impact of social influence on a location data disclosure, we ran a 3(Social proof: star ratings, user reviews, or both) x 2(Reciprocity norms: present or absent) between- subjects experiment. While these manipulations produced no direct effect on decisions, qualitative analysis of participants’ rationale revealed that related features (e.g., push notifications) and personal attitudes held significant weight.
https://aisel.aisnet.org/hicss-57/da/mobile_services/2