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PublicationLeveraging Driver Vehicle and Environment Interaction: Machine Learning Using Driver Monitoring Cameras to Detect Drunk Driving( 2023)Excessive alcohol consumption causes disability and death. Digital interventions are promising means to promote behavioral change and thus prevent alcohol-related harm, especially in critical moments such as driving. This requires real-time information on a person’s blood alcohol concentration (BAC). Here, we develop an in-vehicle machine learning system to predict critical BAC levels. Our system leverages driver monitoring cameras mandated in numerous countries worldwide. We evaluate our system with n = 30 participants in an interventional simulator study. Our system reliably detects driving under any alcohol influence (area under the receiver operating characteristic curve [AUROC] 0.88) and driving above the WHO recommended limit of 0.05 g/dL BAC (AUROC 0.79). Model inspection reveals reliance on pathophysiological effects associated with alcohol consumption. To our knowledge, we are the first to rigorously evaluate the use of driver monitoring cameras for detecting drunk driving. Our results highlight the potential of driver monitoring cameras and enable next-generation drunk driver interaction preventing alcohol-related harm.Type:Journal:
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PublicationA Value Architecture Perspective of Product Service Software Systems(Omnia Publisher SL, 2022-11-17)
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PublicationNoninvasive hypoglycemia detection during real car driving using in-vehicle data(American Diabetes Association Publications, 2022-06-01)
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PublicationTaking Mental Health & Well-Being to the Streets: An Exploratory Evaluation of In-Vehicle Interventions in the Wild(Association for Computing Machinery, 2021)The increasing number of mental disorders worldwide calls for novel types of prevention measures. Given the number of commuters who spend a substantial amount of time on the road, the car offers an opportune environment. This paper presents the first in-vehicle intervention study affecting mental health and well-being on public roads. We designed and implemented two in-vehicle interventions based on proven psychotherapy interventions. Whereas the first intervention uses mindfulness exercises while driving, the second intervention induces positive emotions through music. Ten ordinary and healthy commuters completed 313 of these interventions on their daily drives over two months. We collected drivers’ immediate and post-driving feedback for each intervention and conducted interviews with the drivers after the end of the study. The results show that both interventions have improved drivers’ well-being. While the participants rated the music intervention very positively, the reception of the mindfulness intervention was more ambivalent.
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PublicationNavigating Companies through the Jungle of Emerging Digital Technology Strategies(ISPIM Ltd., 2021-06-23)Between 2010 and 2020 numerous strategic approaches that deal with digital technologies including IoT, AI and Big Data emerged. These approaches contain aspects that can be associated with existing strategy schools of thought. This article analyses 84 relevant publications and identifies the prevailing strategy schools throughout these publications. Our research is based on a semi-structured literature review and a deductive coding approach. The findings show that aspects from deliberate as well as emergent strategy schools are present and combined within the analysed publications. Our insights provide executives a clear overview of the prevailing strategic schools that researchers and practitioners have drawn on. This should enable them to trace these approaches back to the fundamental thoughts of the underlying strategy schools in order to gain a more fundamental understanding of potential aspects they may want to include in their own strategy for digital technologies.
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PublicationTowards Wearable-based Hypoglycemia Detection and Warning in Diabetes(ACM, 2020-04-25)
Scopus© Citations 18
