Eye-tracking study shows F-pattern and examination hypothesis from web search do not hold in carousel interfaces; users follow an L-pattern on clicks, ignore headings, and examination does not predict clicks as assumed.
Sedighadeli, Rajiv Khosla, and Mei-Tai Chu
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A breathing companion robot reduced perceived stress more than audio guidance alone in 14 Ukrainian refugees, with mixed physiological outcomes and three identified breathing patterns.
e112 is a context-aware mobile app with cloud backend that enables emergency SOS, reporting, customized alerts, and guidance, shown through usability studies to achieve high user satisfaction and robust performance.
citing papers explorer
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Following the Eye-Tracking Evidence: Established Web-Search Assumptions Fail in Carousel Interfaces
Eye-tracking study shows F-pattern and examination hypothesis from web search do not hold in carousel interfaces; users follow an L-pattern on clicks, ignore headings, and examination does not predict clicks as assumed.
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NEFFY 2.0: A Breathing Companion Robot: User-Centered Design and Findings from a Study with Ukrainian Refugees
A breathing companion robot reduced perceived stress more than audio guidance alone in 14 Ukrainian refugees, with mixed physiological outcomes and three identified breathing patterns.
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e112: A Context-Aware Mobile Emergency Communication Platform Leveraging Smartphone Sensing and Cloud Services
e112 is a context-aware mobile app with cloud backend that enables emergency SOS, reporting, customized alerts, and guidance, shown through usability studies to achieve high user satisfaction and robust performance.