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Human-Computer Interaction (HCI) is a multi-modal, interdisciplinary field focused on designing, studying, and improving the interactions between people and computer systems. This involves the design of systems that can recognize,…

Human-Computer Interaction · Computer Science 2025-08-15 Paul Schreiber , Beyza Cinar , Lennart Mackert , Maria Maleshkova

Acute psychological stress occurs in a wide range of everyday contexts, including transportation, occupational settings, and physical activity, where its reliable detection could enable adaptive system responses and support human…

Human-Computer Interaction · Computer Science 2026-05-18 Esther Bosch

Introduction. The stress response has both subjective, psychological and objectively measurable, biological components. Both of them can be expressed differently from person to person, complicating the development of a generic stress…

Artificial Intelligence · Computer Science 2023-04-18 Gideon Vos , Kelly Trinh , Zoltan Sarnyai , Mostafa Rahimi Azghadi

Stress is a complex issue with wide-ranging physical and psychological impacts on human daily performance. Specifically, acute stress detection is becoming a valuable application in contextual human understanding. Two common approaches to…

Machine Learning · Computer Science 2022-03-21 Van-Tu Ninh , Manh-Duy Nguyen , Sinéad Smyth , Minh-Triet Tran , Graham Healy , Binh T. Nguyen , Cathal Gurrin

Advances in wearable technologies provide the opportunity to monitor many physiological variables continuously. Stress detection has gained increased attention in recent years, mainly because early stress detection can help individuals…

With the development of wearable technologies, a new kind of healthcare data has become valuable as medical information. These data provide meaningful information regarding an individual's physiological and psychological states, such as…

Machine Learning · Computer Science 2023-03-09 Berrenur Saylam , Özlem Durmaz İncel

Continuous, ubiquitous monitoring through wearable sensors has the potential to collect useful information about users' context. Heart rate is an important physiologic measure used in a wide variety of applications, such as fitness tracking…

Machine Learning · Computer Science 2019-12-20 Nutta Homdee , Mehdi Boukhechba , Yixue W. Feng , Natalie Kramer , John Lach , Laura E. Barnes

Introduction. Low-cost health monitoring devices are increasingly being used for mental health related studies including stress. While cortisol response magnitude remains the gold standard indicator for stress assessment, a growing number…

Human-Computer Interaction · Computer Science 2024-03-12 Gideon Vos , Maryam Ebrahimpour , Liza van Eijk , Zoltan Sarnyai , Mostafa Rahimi Azghadi

Current management of bipolar disorder relies on self-reported questionnaires and interviews with clinicians. The development of objective measures of deteriorating mood may also allow for early interventions to take place to avoid…

Signal Processing · Electrical Eng. & Systems 2020-07-08 Oliver Carr , Fernando Andreotti , Kate E. A. Saunders , Niclas Palmius , Guy M. Goodwin , Maarten De Vos

In healthcare, detecting stress and enabling individuals to monitor their mental health and wellbeing is challenging. Advancements in wearable technology now enable continuous physiological data collection. This data can provide insights…

Computers and Society · Computer Science 2023-06-09 Zachary Dair , Muhammad Muneeb Saad , Urja Pawar , Samantha Dockray , Ruairi O'Reilly

The proliferation of low-cost sensors in smartphones has facilitated numerous applications; however, large-scale deployments often encounter performance issues. Sensing heterogeneity, which refers to varying data quality due to factors such…

Geophysics · Physics 2024-07-08 Yawen Zhang , Qingkai Kong , Tao Ruan , Qin Lv , Richard Allen

Anxiety disorders are the most common class of psychiatric problems affecting both children and adults. However, tools to effectively monitor and manage anxiety are lacking, and comparatively limited research has been applied to addressing…

Computers and Society · Computer Science 2020-08-11 Lionel Levine , Migyeong Gwak , Kimmo Karkkainen , Shayan Fazeli , Bita Zadeh , Tara Peris , Alexander Young , Majid Sarrafzadeh

There is an increasing interest in exploiting mobile sensing technologies and machine learning techniques for mental health monitoring and intervention. Researchers have effectively used contextual information, such as mobility,…

Machine Learning · Computer Science 2017-11-20 Gatis Mikelsons , Matthew Smith , Abhinav Mehrotra , Mirco Musolesi

Physical activity patterns can be informative about a patient's health status. Traditionally, activity data have been gathered using patient self-report. However, these subjective data can suffer from bias and are difficult to collect over…

Methodology · Statistics 2022-02-08 Emily Huang , Kebin Yan , Jukka-Pekka Onnela

Time pressure and question difficulty can trigger stress and cognitive overload in web-based surveys, compromising data quality and user experience. Most stress detection methods are based on low-resolution self-reports, which are poorly…

Human-Computer Interaction · Computer Science 2026-01-27 Ailin Liu , Francesco Chiossi , Felix Henninger , Lisa Bondo Andersen , Tobias Wistuba , Sonja Greven , Frauke Kreuter , Fiona Draxler

We designed and performed a participatory sensing initiative to explore the reliability and effectiveness of a distributed network of citizen-operated smartphones in evaluating the impact of environmental noise in residential areas. We…

Recent data from the Federal Highway Administration highlights an alarming increase in fatalities and injuries in roadway work zones, emphasizing the need for enhanced worker safety measures. This study addresses this concern by evaluating…

Human-Computer Interaction · Computer Science 2025-04-08 Fatemeh Banani Ardecani , Amit Kumar , Omidreza Shoghli

In the current age, human lifestyle has become more knowledge oriented leading to generation of sedentary employment. This has given rise to a number of health and mental disorders. Mental wellness is one of the most neglected but crucial…

Machine Learning · Computer Science 2023-06-19 Rahee Walambe , Pranav Nayak , Ashmit Bhardwaj , Ketan Kotecha

There is a research field of human activity recognition that automatically recognizes a user's physical activity through sensing technology incorporated in smartphones and other devices. When sensing daily activity, various measurement…

Human-Computer Interaction · Computer Science 2021-01-05 Tatsuhito Hasegawa

Notifications are one of the most prevailing mechanisms on smartphones and personal computers to convey timely and important information. Despite these benefits, smartphone notifications demand individuals' attention and can cause stress…

Human-Computer Interaction · Computer Science 2022-07-08 Judith S. Heinisch , Nan Gao , Christoph Anderson , Shohreh Deldari , Klaus David , Flora Salim