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Although it is well-established that the environment (e.g., sound, light, temperature) can be a significant contributor to sleep disruption, few technologies have been designed to capture the environmental factors that affect sleep. We developed a low-cost and robust sensor designed to collect highly accurate environmental light and sound data in a natural home environment at fine temporal resolution. We deploy these sensors in the bedrooms of older adults for an extended period to comprehensively describe the sleep environment and to uncover the metrics most salient for sleep disruption.

Detecting EEG in the ear

The field of Human-Computer Interaction has long engaged in creating and studying online tools that serve as information resources. However, few studies explore how people, particularly underserved populations, find these tools. This study examines the role that online search plays in the access to online information resources using access to online Computer Science (CS) education as a case study. First, we conduct a survey with U.S. parents to identify terms used to search for online CS education. Second, we look at the search results for those terms.