Privacy
Protecting intimate data, especially the emotional and physiological signals affective systems capture.
7 papers carry this theme
In these papers
- 01“I know even if you don’t tell me”: Understanding Users’ Privacy Preferences Regarding AI-based Inferences of Sensitive Information for PersonalizationSumit Asthan · 2024Platforms collect data without users' awareness or consent.
- 02How Should AI Systems Talk to Users when Collecting their Personal Information? Efects of Role Framing and Self-Referencing on Human-AI InteractionMengqi Liao · 2021Personal-information collection raises privacy concerns.
- 03Making Sense of Emotion-Sensing: Workshop on Quantifying Human EmotionsBenjamin Tag · 2021Pervasive emotion-sensing of mental health raises privacy concerns.
- 04Rise of Machine Agency: A Framework for Studying the Psychology of Human – AI Interaction (HAII)S. Shyam Sundar · 2020Raises significant privacy concerns about ML personalization.
- 05Proactive vs. Reactive Personalization: Can Customization of Privacy Enhance User Experience?Bo Zhang · 2019Addresses widespread privacy concerns of recommenders.
- 06“This App Would Like to Use Your Current Location to Better Serve You”: Importance of User Assent and System Transparency in Personalized Mobile ServicesTsai-Wei Chen · 2018Personalization via location data without appearing intrusive.
- 07Affective computing: challenges2003Raises concerns about machines capturing intimate emotional information.