@article{windl2024exploring,
	title = {Exploring Users' Mental Models and Privacy Concerns During Interconnected Interactions},
	author = {Maximiliane Windl and Magdalena Schlegel and Sven Mayer},
	year = {2024},
	journal = {Proc. ACM Hum.-Comput. Interact.},
	publisher = {Association for Computing Machinery},
	address = {New York, NY, USA},
	volume = {8},
	number = {MHCI},
	doi = {10.1145/3676504},
	url = {https://sven-mayer.com/wp-content/uploads/2024/08/windl2024exploring.pdf},
	date = {2024-09-30},
	abstract = {Users frequently use their smartphones in combination with other smart devices, for example, when streaming music to smart speakers or controlling smart appliances. During these interconnected interactions, user data gets handled and processed by several entities that employ different data protection practices or are subject to different regulations. Users need to understand these processes to inform themselves in the right places and make informed privacy decisions. We conducted an online survey (N=120) to investigate whether users have accurate mental models about interconnected interactions. We found that users consider scenarios more privacy-concerning when multiple devices are involved. Yet, we also found that most users do not fully comprehend the privacy-relevant processes in interconnected interactions. Our results show that current privacy information methods are insufficient and that users must be better educated to make informed privacy decisions. Finally, we advocate for restricting data processing to the app layer and better encryption to reduce users' data protection responsibilities.},
	keywords = {privacy, mental models, interconnected devices, user perception, data protection}
}