Sandrine R Müller

Sandrine R Müller
Columbia University | CU · Data Science Institute

PhD

About

28
Publications
5,946
Reads
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616
Citations
Citations since 2016
27 Research Items
612 Citations
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2016201720182019202020212022050100150
2016201720182019202020212022050100150

Publications

Publications (28)
Article
The early stages of the COVID-19 pandemic revealed stark regional variation in the spread of the virus. While previous research has highlighted the impact of regional differences in sociodemographic and economic factors, we argue that regional differences in social and compliance behaviors-the very behaviors through which the virus is transmitted-a...
Preprint
People interact with their physical environments every day by visiting different places and moving between them. Such mobility behaviors likely influence and are influenced by people’s subjective well-being. However, past research examining the links between mobility behaviors and well-being has been inconclusive. Here we provide a comprehensive in...
Article
Full-text available
The ubiquity of location-data-enabled devices provides novel avenues for psychology researchers to incorporate spatial analytics into their studies. Spatial analytics use global positioning system (GPS) data to assess and understand mobility behavior (e.g., locations visited, movement patterns). In this tutorial, we provide a practical guide to ana...
Preprint
Full-text available
The ubiquity of mobile devices allows researchers to assess people’s real-life behaviors objectively, unobtrusively, and with high temporal resolution. As a result, psychological mobile sensing research has grown rapidly. However, only very few cross-cultural mobile sensing studies have been conducted to date. In addition, existing multi-country st...
Preprint
The ubiquity of location data-enabled devices provides novel avenues for psychology researchers to incorporate spatial analytics into their studies. Spatial analytics use GPS data to assess and understand mobility behavior (e.g., locations visited, movement patterns). This tutorial provides a practical guide to using GPS data in R, introducing rese...
Article
Full-text available
Depression is one of the most common mental health issues in the United States, affecting the lives of millions of people suffering from it as well as those close to them. Recent advances in research on mobile sensing technologies and machine learning have suggested that a person’s depression can be passively measured by observing patterns in peopl...
Preprint
In this chapter, we chart parallel lines of research on mobile technology and daily mobility. Specifically, we review how people engage with mobile technologies in-place and on-the-go, as well as their broader connection with their mobile devices. In each section, we review and link perspectives from psychology and mobility studies towards an integ...
Chapter
People's thoughts, feelings, and behaviors can vary a great deal over situations and time. Such dynamic patterns are difficult to assess using traditional survey- and lab-based methods. However, new digital media technologies (e.g., smartphones, wearable devices, smart-home devices) offer a powerful approach to capturing fine-grained records of peo...
Article
People around the world own digital media devices that mediate and are in close proximity to their daily behaviours and situational contexts. These devices can be harnessed as sensing technologies to collect information from sensor and metadata logs that provide fine‐grained records of everyday personality expression. In this paper, we present a co...
Article
People interact with their physical environments every day by visiting different places and moving between them. Such mobility behaviours likely influence and are influenced by people's subjective well-being. However, past research examining the links between mobility behaviours and well-being has been inconclusive. Here, we provide a comprehensive...
Preprint
Social behaviors play a key role in the spread of COVID-19. Consequently, regional variation in personality traits that capture individual differences in these social behaviors may offer new insight into regional variation in COVID-19 cases. Here we combine self-reported personality data (N ≈ 3.5 million people), official COVID-19 prevalence rates,...
Article
Full-text available
Interactionist theories are considered to have resolved the classic person-situation debate by demonstrating that human behavior is most accurately described as a function of both personal characteristics as well as environmental cues. According to these theories, personality traits form part of the personal characteristics that drive behavior. We...
Article
Sociability as a disposition describes a tendency to affiliate with others (vs. be alone). Yet, we know relatively little about how much social behavior people engage in during a typical day. One challenge to documenting social behavior tendencies is the broad number of channels over which socializing can occur, both in-person and through digital m...
Article
Images play a central role in digital marketing. They attract attention, trigger emotions, and shape consumers’ first impressions of products and brands. We propose that the shift from one‐to‐many mass communication to highly personalized one‐to‐one communication requires an understanding of image appeal at a personal level. Instead of asking “How...
Thesis
Much has been theorized about the relationship between people and their environments. Certain people may be more inclined to visit certain types of places (e.g., campus, pub) and display different patterns of mobility as they move among them (e.g., number of places visited, distances traveled). Moreover, even the same place may affect people differ...
Article
Personality traits describe individual differences in patterns of thinking, feeling, and behaving ("between-person" variability). But individuals also show changes in their own patterns over time ("within-person" variability). Existing approaches to measuring within-person variability typically rely on self-report methods that do not account for fi...
Chapter
The assessment of psychological situations in everyday life presents a number of methodological challenges, largely stemming from the need to assess situations as they occur in their natural context. Digital media devices (e.g., smartphones, wearables, smart home appliances) that come equipped with a wide array of sensors address these challenges b...
Article
Human behavior is the focus of many studies in the social, health, and behavioral sciences. Yet, few studies use behavioral observation methods to collect objective measures of behavior as it occurs in daily life, out in the real world — presumably the context of ultimate interest. Here, we provide a review of recent studies focused on measuring hu...
Article
Human behavior is the focus of many studies in the social, health, and behavioral sciences. Yet, few studies use behavioral observation methods to collect objective measures of behavior as it occurs in daily life, out in the real world — presumably the context of ultimate interest. Here, we provide a review of recent studies focused on measuring hu...
Conference Paper
This paper showcases an approach to combining smart-phone sensing technology, web mapping services, and psychological assessments to enhance our understanding of the psychological characteristics of places. For two weeks, twenty-six students used a smartphone app that passively collected GPS sensor data. Human raters then characterized their most f...
Conference Paper
Self-tracking studies using smartphone sensing apps provide researchers with a great deal of detailed personal behavioral data. These methods promise to provide many insights into the links between everyday behaviors and well-being outcomes (e.g., physical and mental health). However, a better understanding of participants' compliance and experienc...
Article
User interaction patterns with mobile apps and notifications are generally complex due to the many factors involved. However a deep understanding of what influences them can lead to more acceptable applications that are able to deliver information at the right time. In this paper, we present for the first time an in-depth analysis of interaction be...
Article
Self-tracking consists of recording the behaviors that occur in one’s daily life. Self-tracking studies can provide researchers with passively sensed information about individual’s daily behaviors and environments and actively logged information (e.g., self-reports). This method has great promise for obtaining detailed records of behavior in natura...
Book
Full-text available
The first annual report of the Policy Research Group in the Department of Psychology at the University of Cambridge. This report is written with support from the Junior Researcher Programme.
Article
This study contributes to a better understanding of the determinants of voice expressed by physicians in different cultural settings. Voice, captured as disclosure of adverse outcomes and medical errors, is regarded as important for the reduction of the high rate of adverse events in medicine as compared to other high-risk professions. Within a cro...
Article
Full-text available
In times of global demographic changes, strategies are needed for improving nursing staff retention. We examined the association of care setting (nursing homes and home care) with geriatric nurses’ intention to leave their job and their profession. Thus far, it is unclear why nurses’ turnover intention and behaviour do not differ between care setti...
Article
Full-text available
Cognitive resources can be considered to be key variables in the context of work ability and health, particularly in the aging workforce. However, research on this issue is sparse, lacking a comprehensive examination of specific cognitive functions. Therefore, the aim of the present study was to examine the association of cognitive resources with s...

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