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Shedding light (and sound) on hidden IoT devices in your next hotel room

by Daniel Tkacik, Carnegie Mellon University

Credit: Pixabay/CC0 Public Domain

More than 1 in 10 Airbnb guests have found hidden cameras in their rooms, according to a survey of 2,000 people conducted last year. This isn’t unique to Airbnb; hidden cameras have been found in hotels and hostels all around the world. Some of these incidents have led to lawsuits.

As the Internet of Things (IoT) continues to boom, IoT devices such as cameras and microphones are getting smaller and blending in with their environment, making it harder to know when devices are around. This may lead some to wonder if, perhaps, more than 1 in 10 hotel guests have actually been in the presence of cameras.

“People really want to know the location of IoT devices in unfamiliar environments,” says CyLab’s Jason Hong, a professor in the Human-Computer Interaction Institute (HCII) in Carnegie Mellon’s School of Computer Science. “But we lack the effective approaches to do so.”

In a new study presented at this year’s ACM CHI conference, Hong and his co-authors explored various solutions to the hidden IoT device conundrum. First, they asked 226 people via survey about their privacy concerns about devices when traveling and their strategies and motivations in locating them.

Survey results revealed genuine concerns about recording devices in hospitality rooms. Fifteen percent of respondents said they would not consider staying in a hospitality room in the future, with some stating that they feared being recorded. Most respondents (85 percent) said they would use a hospitality room in the future, but half of them claimed they searched for—and sometimes found—devices during their last stay.

Most of the people who said they searched for devices in their last stay said they typically did so manually, by walking around the room and searching with their hands and eyes.

“For this reason, we decided to explore the effectiveness of light and sound in helping people locate IoT devices around the room,” says Hong.

The researchers looked into the effectiveness of three locator designs: (1) placing an LED on a device, (2) placing an LED + beeping mechanism on a device, and (3) a contextualized picture that showed the device in its place, to be taken by the hospitality host.

In a series of experiments, the researchers observed that participants were able to locate devices substantially faster (i.e. minutes vs. seconds) when locator designs were used than if no locator designs were used. Roughly two-thirds of participants said they preferred the LED + beep design the most, and that preference was consistent whether participants were searching for five devices or 15.

“Surprisingly, some of our participants said it was fun using visual and auditory cues to search for devices,” says Hong.

While this research is just in the early stages of developing prototypes for IoT locators, the researchers are optimistic it’s a step towards alleviating the hidden camera problem.

“Our hope is that the findings in this paper can help industry and policymakers in adopting the idea of locators for IoT devices,” says Hong. “This is a step towards addressing growing privacy concerns with the Internet of Things.”

Explore further

More information: Yunpeng Song et al. I’m All Eyes and Ears: Exploring Effective Locators for Privacy Awareness in IoT Scenarios, Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (2020). DOI: 10.1145/3313831.3376585

Provided by Carnegie Mellon University



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