Elgar Fleisch

Elgar Fleisch
ETH Zurich | ETH Zürich · University of St. Gallen (HSG)

Prof. Dr.
ETH Zurich & University of St. Gallen (HSG)

About

587
Publications
191,009
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9,878
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Introduction
The purpose of the research of Elgar Fleisch and his team is to understand this ongoing merge of the digital and physical world in the dimensions of technology, applications, and implications, and to leverage this understanding in the design of new technologies and applications for the benefit of the economy and society.

Publications

Publications (587)
Preprint
BACKGROUND Digital innovations in the mental health care field provide an opportunity to mitigate the global burden of mental disorders such as depression by facilitating timely, accessible, scalable, and affordable interventions. However, there is little evidence on how much these interventions rely on novel automated approaches, such as conversat...
Article
Faced with the challenge of increasing the share of renewable energy generation, many countries have put local peer-to-peer (P2P) energy markets on their political agenda for driving the adoption of renewable energy. This is the first study to examine this concept empirically in a real-world P2P market, in which renewable energy was auctioned among...
Article
Background: To provide effective care for COVID-19 inpatients, clinical practitioners need systems that monitor patient health and subsequently allow for risk scoring. Existing approaches for risk scoring in COVID-19 patients focus primarily on intensive care units with specialized medical measurement devices, but not on hospital general wards. O...
Article
Aim: To develop a non-invasive machine learning (ML) approach to detect hypoglycemia during real car driving based on driving (CAN) , and eye and head motion (EHM) data. Methods: We logged CAN and EHM data in 21 subjects with type 1 diabetes (18 male, 41 ± yrs, A1c 6.8 ± 0.7 % [51 ± 7 mmol/mol]) during driving in eu- (EU) and hypoglycemia (< 3.0 mm...
Article
Full-text available
Background: Mobile health (mHealth) apps show vast potential in supporting patients and health care systems with the increasing prevalence and economic costs of noncommunicable diseases (NCDs) worldwide. However, despite the availability of evidence-based mHealth apps, a substantial proportion of users do not adhere to them as intended and may cons...
Data
This publication appendix lists identified intervention-related and patient-related factors with a positive or negative influence on adherence to mHealth apps for each health domain in detail. Related Publication: https://www.jmir.org/2022/5/e35371
Preprint
Full-text available
Dyadic interactions of couples are of interest as they provide insight into relationship quality and chronic disease management. Currently, ambulatory assessment of couples' interactions entails collecting data at random or scheduled times which could miss significant couples' interaction/conversation moments. In this work, we developed, deployed a...
Preprint
BACKGROUND Slow-paced breathing training can have beneficial effects on physiological and psychological well-being. Unfortunately, usage statistics indicate that adherence to breathing training apps is low. Recent work suggests that gameful breathing training may help to overcome this challenge. OBJECTIVE This study aims to introduce and evaluate...
Article
The Internet of Things (IoT) offers product companies the opportunity to develop an IoT business. Existing performance measurement systems (PMS) are unsuitable for measuring and managing the business logic of IoT business. Based on research conducted with 31 product companies, we present three measurement traps, a key performance indicators (KPI) s...
Article
Full-text available
Cough, a symptom associated with many prevalent respiratory diseases, can serve as a potential biomarker for diagnosis and disease progression. Consequently, the development of cough monitoring systems and, in particular, automatic cough detection algorithms have been studied since the early 2000s. Recently, there has been an increased focus on the...
Preprint
Full-text available
Couples' relationships affect the physical health and emotional well-being of partners. Automatically recognizing each partner's emotions could give a better understanding of their individual emotional well-being, enable interventions and provide clinical benefits. In the paper, we summarize and synthesize works that have focused on developing and...
Article
Full-text available
In light of the globally increasing prevalence of diet-related chronic diseases, new scalable and non-invasive dietary monitoring techniques are urgently needed. Automatically collected digital receipts from loyalty cards hereby promise to serve as an objective and automatically traceable digital marker for individual food choice behavior and do no...
Article
Full-text available
Background: Noncommunicable diseases (NCDs) constitute a burden on public health. These are best controlled through self-management practices, such as self-information. Fostering patients’ access to health-related information through efficient and accessible channels, such as commercial voice assistants (VAs), may support the patients’ ability to m...
Preprint
BACKGROUND To provide effective care for inpatients with COVID-19, clinical practitioners need systems that monitor patient health and subsequently allow for risk scoring. Existing approaches for risk scoring in patients with COVID-19 focus primarily on intensive care units (ICUs) with specialized medical measurement devices but not on hospital gen...
Preprint
Full-text available
BACKGROUND Mobile health applications show vast potential in supporting patients and health care systems with the globally increasing prevalence and economic costs of non-communicable diseases. However, despite the availability of evidence-based mHealth apps, a substantial proportion of users does not adhere to them as intended and may consequently...
Article
Driver status monitoring systems are a vital component of smart cars in the future, especially in the era when an increasing amount of time is spent in the vehicle. The heart rate (HR) is one of the most important physiological signals of driver status. To infer HR of drivers, the mainstream of existing research focused on capturing subtle heartbea...
Article
Full-text available
Background and Objective: Researchers use wearable sensing data and machine learning (ML) models to predict various health and behavioral outcomes. However, sensor data from commercial wearables are prone to noise, missing, or artifacts. Even with the recent interest in deploying commercial wearables for long-term studies, there does not exist a st...
Article
Full-text available
Background: The current COVID-19 coronavirus pandemic is an emergency on a global scale, with huge swathes of the population required to remain indoors for prolonged periods to tackle the virus. In this new context, individuals' health-promoting routines are under greater strain, contributing to poorer mental and physical health. Additionally, indi...
Article
Full-text available
Background: There is an increasing number of smartphone applications (apps) focusing on prevention, treatment, and diagnosis of depression. A promising approach to increase the effectiveness while reducing the individual's burden is the use of just-in-time adaptive intervention (JITAI) mechanisms. JITAIs are designed to improve the effectiveness o...
Article
Full-text available
Background: Slow-paced breathing has been shown to be positively associated with psychological and physiological health. In practice, however, there is little long-term engagement with breathing training, as shown by the usage statistics of breathing training apps. New research suggests that gameful smartphone-delivered breathing training may addre...
Article
Full-text available
An empathetic car that is capable of reading the driver’s emotions has been envisioned by many car manufacturers. Emotion inference enables in-vehicle applications to improve driver comfort, well-being, and safety. Available emotion inference approaches use physiological, facial, and speech-related data to infer emotions during driving trips. Howev...
Chapter
Non-communicable diseases are the leading cause of death and lead to high health economic burden. Digital health interventions are appropriate means to support the prevention and management of non-communicable diseases. Digital health interventions rely on information and communication technologies and allow medical doctors and other caregivers to...
Preprint
BACKGROUND Complications related to noncommunicable diseases are among the main causes of mortality. Fostering patients’ access to health-related information through efficient and accessible channels like commercial voice assistants (CVA) such as Amazon Alexa, Apple Siri, or Google Assistant, may support patients’ ability to make health-related dec...
Preprint
Full-text available
In light of the globally increasing prevalence of diet-related non-communicable diseases (NCDs), new scalable and non-invasive dietary monitoring techniques are urgently needed. Automatically collected digital receipts from loyalty cards have the potential to serve as an objective and automatically traceable digital biomarker for individual food ch...
Article
Full-text available
Just-In-Time Adaptive Intervention (JITAI) is an emerging technique with great potential to support health behavior by providing the right type and amount of support at the right time. A crucial aspect of JITAIs is properly timing the delivery of interventions, to ensure that a user is receptive and ready to process and use the support provided. So...
Article
Aim: To non-invasively detect hypoglycemia in individuals with type 1 diabetes (T1D) based on gaze behavior while driving. Methods: Controlled hypoglycemia was induced in 19 individuals (12 males, age 32 ± 7.1 yrs) with T1D (HbA1c 7.1 ± 0.6% [54 ± 6 mmol/mol]) using an adapted hypoglycemic clamp protocol. Gaze and blood glucose (BG) data were gath...
Preprint
BACKGROUND Slow-paced breathing has been shown to be positively associated with psychological and physiological health. In practice, however, there is little long-term engagement with breathing training, as shown by the usage statistics of breathing training apps. New research suggests that a gameful smartphone-delivered breathing training may addr...
Article
User-generated app store reviews of mobile apps provide valuable information for app developers. However, making sense of this large pool of data across many apps in a structured way remains a challenge today due to the large data volumes and because app stores lack systematic, built-in analysis tools for user reviews. We obtained and analyzed a la...
Chapter
Full-text available
Unternehmensberatungen, Marktforschungsinstitute und Technologie-Evangelisten haben sich in den letzten Jahren mit positiven Prognosen zum enormen Geschäftspotenzial im Internet der Dinge (aus dem Englischen Internet of Things, IoT) gegenseitig übertroffen. In der Tat eröffnen vernetzte IoT-Lösungen neue Geschäftspotenziale und sind derzeit im Begr...
Preprint
BACKGROUND There is an increasing number of smartphone applications (apps) focusing on prevention, treatment, and diagnosis of depression. A promising approach to increase the effectiveness while reducing the individual’s burden is the use of just-in-time adaptive intervention (JITAI) mechanisms. OBJECTIVE With this work, we systematically assess...
Article
Full-text available
Background: Work stress affects individual health and well-being. These negative effects could be mitigated through regular monitoring of employees’ stress. Such monitoring becomes even more important as the digital transformation of the economy implies profound changes in working conditions. Objective: The goal of this study was to investigate the...
Article
Full-text available
Background: This systematic literature review aims to provide a better understanding of the current methods on VCAs delivering interventions for the prevention and management of chronic and mental conditions. Objective: This systematic literature review aims to provide a better understanding of the current methods on VCAs delivering interventions f...
Book
Information technology is changing healthcare in numerous wide-ranging aspects, including significantly improving the overall quality of patient care and therefore helping to reduce limitations in people's daily lives. The Digital Pill reflects on how digital technologies can combat chronic diseases including diabetes, cancer, cardiovascular, resp...
Article
Full-text available
Recent developments of novel in-vehicle interventions show the potential to transform the otherwise routine and mundane task of commuting into opportunities to improve the drivers' health and well-being. Prior research has explored the effectiveness of various in-vehicle interventions and has identified moments in which drivers could be interruptib...
Article
Full-text available
Background: Successful management of chronic diseases requires a trustful collaboration between health care professionals, patients, and family members. Scalable conversational agents, designed to assist health care professionals, may play a significant role in supporting this collaboration in a scalable way by reaching out to the everyday lives of...
Chapter
There is strong support in the literature for the use of conversational agents (CAs) in digital mental healthcare along with a recent increase in funding within digital mental health, indicating the fast growth of the industry. However, it is unknown to what extent CAs are leveraged in these digital interventions for depression. The aim of this stu...
Book
Durch medizinische Fortschritte können immer mehr Krankheiten geheilt werden, was zu einer höheren Lebenserwartung der Menschen beiträgt. Das ist eine gute Nachricht für uns alle, bringt unser Gesundheitswesen aber auch an seine Grenzen, weil wir immer häufiger an chronischen Krankheiten leiden. Die Digitalisierung im Gesundheitswesen zu forcieren,...
Article
Full-text available
Background Slow-paced breathing training (6 breaths per minute [BPM]) improves physiological and psychological well-being by inducing relaxation characterized by increased heart rate variability (HRV). However, classic breathing training has a limited target group, and retention rates are very low. Although a gameful approach may help overcome thes...
Preprint
Background: Work stress afflicts individual health and well-being. These negative effects could be mitigated through regular monitoring of employees’ stress. Such monitoring becomes even more important as the digital transformation of the economy implies profound changes of working conditions. Objective: To investigate whether the computer mouse ca...
Poster
Full-text available
Hintergrund: Erfolgreiches Management chronischer Krankheiten erfordert eine vertrauensvolle Zusammenarbeit zwischen Fachpersonen, Betroffenen und deren Familienmitglieder. Chatbots können Fachpersonen unterstützen, indem sie Gesundheitskompetenz und-verhalten im Alltag von Betroffenen fördern. Allerdings ist unklar, ob Chatbots in dieser Rolle akz...
Poster
Full-text available
Thema: Husten ist das häufigste Symptom, bei dem Personen ärztlichen Rat suchen. Die gewöhnliche Erkältung stellt die bekannteste Ursache dar. Darüber hinaus sind steigende Hustenraten mit einer Verschlechterung des Gesundheitszustands bei Krankheiten wie Asthma und COPD assoziiert. Infolgedessen wurden viele Anstrengungen unternommen, um ein objek...
Preprint
Background: Slow-paced breathing training (6 breaths/min) improves physiological and psychological well-being by inducing relaxation characterized by increased heart rate variability (HRV). However, classic breathing trainings have a limited target group, and retention rates are very low. While a gameful approach may help to overcome these challeng...
Article
Full-text available
Introduction: Objective markers for asthma, that can be measured without extra patient effort, could mitigate current shortcomings in asthma monitoring. We investigated whether smartphone-recorded nocturnal cough and sleep quality can be utilized for the detection of periods with uncontrolled asthma or meaningful changes in asthma control and for...
Article
Full-text available
Introduction: The nature of nocturnal cough is largely unknown. It might be a valid marker for asthma control but very few studies characterized it as a basis for better defining its role and its use as clinical marker. This study investigated prevalence and characteristics of nocturnal cough in asthmatics over the course of four weeks. Methods:...
Preprint
Background: Chronic and mental conditions are increasingly prevalent worldwide. As devices in our everyday lives offer more and more voice-based self-service, voice-based conversational agents (VCAs) have the potential to support the prevention and management of these conditions in a scalable way. VCAs allow for a more natural interaction compared...
Article
Credit card-related over-spending represents an important issue for consumers. Over-spending arises in parts from reduced payment transparency compared to cash and other payment methods. Additionally, week-by-week credit card spending exhibits high variance even on an intrapersonal level, which makes it hard to intuitively learn from prior transact...
Preprint
Full-text available
JITAI is an emerging technique with great potential to support health behavior by providing the right type and amount of support at the right time. A crucial aspect of JITAIs is properly timing the delivery of interventions, to ensure that a user is receptive and ready to process and use the support provided. Some prior works have explored the asso...