Search results for "Mobile sensing"
showing 4 items of 4 documents
Edge-Based Missing Data Imputation in Large-Scale Environments
2021
Smart cities leverage large amounts of data acquired in the urban environment in the context of decision support tools. These tools enable monitoring the environment to improve the quality of services offered to citizens. The increasing diffusion of personal Internet of things devices capable of sensing the physical environment allows for low-cost solutions to acquire a large amount of information within the urban environment. On the one hand, the use of mobile and intermittent sensors implies new scenarios of large-scale data analysis
Ecological Sampling Methods for Studying Everyday Situations
2017
This chapter reviews existing and emerging methodologies for the ambulatory assessment of real-world situations. It distinguishes between first-person/subjective and third-person/objective approaches and provides research examples for each reviewed ecological assessment method. The chapter opens with a discussion of why it is important to assess situations directly in daily life. The following two main sections review approaches for (a) the first-person assessment of real-world situation experiences and perceptions, such as experience sampling and daily diary approaches, and (b) the third-person assessment of objective real-world situation cues, such as naturalistic observation and mobile s…
Lab And/Or Field? Measuring Personality Processes and Their Social Consequences
2015
How can researchers study personality processes and their social consequences? In our methodology overview, we first introduce ambulatory assessment methods, which repeatedly measure experiences, physiology and behaviour in people's daily lives based on real–time assessments of self–reports, physiological activity and behavioural observations. Then, we describe methods suitable for assessing personality processes in laboratory settings: self–reports on interpersonal perception, physiological measurements and behavioural observation. We discuss the combination of field and laboratory assessment methods based on their respective strengths and limitations and then highlight ethical issues sur…
Connecting Domains—Ecological Momentary Assessment in a Mobile Sensing Framework
2022
Ecological Momentary Assessment (EMA) is the state-of-the-art methodology to capture an individual’s experiences (e.g., feelings, thoughts, behaviors) in daily life in an ecologically valid way. In this chapter, we outline the prominent role of EMA within a broader mobile sensing framework connecting domains of data acquisition from a range of sensing sources. We particularly highlight the advantages of context-aware assessment strategies that link the assessment of experiences to specific sensing events or patterns. Finally, we discuss strategies that go beyond assessment to implement innovative Ecological Momentary Interventions in real-life.