A review of emotion recognition methods based on data acquired via smartphone sensors
In recent years, emotion recognition algorithms have achieved high efficiency, allowing the
development of various affective and affect-aware applications. This advancement has taken …
development of various affective and affect-aware applications. This advancement has taken …
Methodological standards in accessibility research on motor impairments: A survey
The design and evaluation of accessibility technology is a core component of the computer
science landscape, aiming to ensure that digital innovations are accessible to all. One of the …
science landscape, aiming to ensure that digital innovations are accessible to all. One of the …
Does smartphone use drive our emotions or vice versa? A causal analysis
In this paper, we demonstrate the existence of a bidirectional causal relationship between
smartphone application use and user emotions. In a two-week long in-the-wild study with 30 …
smartphone application use and user emotions. In a two-week long in-the-wild study with 30 …
Light and dark mode: a comparison between android and iOS app UI modes and interviews with app designers and developers
Mobile app light and dark modes offer improved usability within different contexts (eg, dark
mode for easier night reading). Yet, little research has investigated the prevalence of light …
mode for easier night reading). Yet, little research has investigated the prevalence of light …
On stress: Combining human factors and biosignals to inform the placement and design of a skin-like stress sensor
With advances in electronic-skin and wearable technologies, it is possible to continuously
measure stress markers from the skin and sweat to monitor and improve wellbeing and …
measure stress markers from the skin and sweat to monitor and improve wellbeing and …
[HTML][HTML] The ERMES chatbot: A conversational communication tool for improved emergency management and disaster risk reduction
The increased occurrence and severity of worldwide disasters, exacerbated by the impact of
climate change, pose significant challenges to emergency management, calling for novel …
climate change, pose significant challenges to emergency management, calling for novel …
[HTML][HTML] Predicting the next-day perceived and physiological stress of pregnant women by using machine learning and explainability: algorithm development and …
Background Cognitive behavioral therapy–based interventions are effective in reducing
prenatal stress, which can have severe adverse health effects on mothers and newborns if …
prenatal stress, which can have severe adverse health effects on mothers and newborns if …
Keep calm and do not carry-forward: Toward sensor-data driven AI agent to enhance human learning
The integration of Multimodal Data (MMD) and embodied learning systems (such as Motion
Based Educational Games, MBEG), can help learning researchers to better understand the …
Based Educational Games, MBEG), can help learning researchers to better understand the …
Reading between the heat: Co-teaching body thermal signatures for non-intrusive stress detection
Stress impacts our physical and mental health as well as our social life. A passive and
contactless indoor stress monitoring system can unlock numerous important applications …
contactless indoor stress monitoring system can unlock numerous important applications …
Affective state prediction based on semi-supervised learning from smartphone touch data
Gaining awareness of the user's affective states enables smartphones to support enriched
interactions that are sensitive to the user's context. To accomplish this on smartphones, we …
interactions that are sensitive to the user's context. To accomplish this on smartphones, we …