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Sensing, Recognition, and Security / Physiological and Vital Sign Sensing

How can physiological signals (e.g., electrodermal activity, pulse) serve as objective indicators to quantify and detect confirmation bias in information retrieval?

helpResearch questionPhysiological and Vital Sign Sensing

How can physiological signals (e.g., electrodermal activity, pulse) serve as objective indicators to quantify and detect confirmation bias in information retrieval?

UbiComp '23Quantifying and Measuring Confirmation Bias in Information Retrieval Using Sensors

Similar questions

helpResearch questionPhysiological and Vital Sign Sensing

How can cognitive activities in UX (e.g., relevance judgments and satisfaction) be defined and quantified?

UbiComp '24Advancing Physiological Methods for Human-Information Interaction

helpResearch questionPhysiological and Vital Sign Sensing

How can the relationship between physiological signals and higher-order cognitive activities be validated and analyzed?

UbiComp '24Advancing Physiological Methods for Human-Information Interaction

helpResearch questionPhysiological and Vital Sign Sensing

How can unified standards for physiological signal measurement and experimental design improve information interaction research?

UbiComp '24Advancing Physiological Methods for Human-Information Interaction

helpResearch questionPhysiological and Vital Sign Sensing

How can users' emotional states during passive social media use be accurately identified from behavioral and physiological signals?

UbiComp '24Detecting Users’ Emotional States during Passive Social Media Use

helpResearch questionPhysiological and Vital Sign Sensing

Which data type—behavioral features or physiological signals—is more effective for high-precision emotion classification?

UbiComp '24Detecting Users’ Emotional States during Passive Social Media Use

helpResearch questionPhysiological and Vital Sign Sensing

Which emotion model is more advantageous for emotion detection during passive social media use?

UbiComp '24Detecting Users’ Emotional States during Passive Social Media Use

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