Autonomous driving paper index
Ethical Information Disclosure: Exploring the Presence-Privacy Tradeoff in GeoMatching Applications for Sustainable Development
One-line summary
This paper examines GeoMatching apps – mobile platforms that connect users based on location for mutual benefits – contributing to the United Nations' Sustainable Development Goals (SDGs) by facilitating access to services, jobs, and resource sharing.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
This paper examines GeoMatching apps – mobile platforms that connect users based on location for mutual benefits – contributing to the United Nations' Sustainable Development Goals (SDGs) by facilitating access to services, jobs, and resource sharing. However, these apps raise privacy concerns, as users must share personal information. The study explores the tradeoff between the benefits of using GeoMatching apps and the risks of disclosing personal data. It introduces the "presence-privacy tradeoff," where users balance their desire for connection with their reluctance to share information due to privacy risks. The research focuses on how social presence (SP) - the sense of closeness and interaction - influences user attitudes and intentions towards using GeoMatching apps. An experimental study with 410 users compares two algorithmic models (LEIS and HFSD) with differing disclosure requirements, finding that while privacy concerns can hinder usage, SP can moderate these concerns. The study concludes that SP can help overcome privacy barriers, enhancing the potential of GeoMatching apps in supporting sustainability goals.
Links and sources
Need this topic turned into a technical roadmap?
Full Self Driving can prepare a custom autonomous driving literature review, code map, dataset map, and B2B technology assessment.
Request B2B research
Comments