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- The emotional body in the main street: individual interpretations of biosensing data.Publication . Pedro, Tomás; Paiva, Daniel; Gonçalves, Ana; Ferreira, DanielaBiosensing is becoming a popular method among urban scholars interested in the experience of urban space. Biosensing refers to the capture of physiological signals such as electrodermal activity, brain activity or heart rate through wearable devices. Such signals can be used to understand individual physical, emotional and cognitive responses to the urban environment. It has been widely argued that biosensing allows scholars to reduce the burden on research participants, while obtaining more precise data on the affectivity of urban space. However, biosensing studies show a different scenario. It has been shown that biosensing data is often ambiguous and thus must be contextualized with qualitative data through interviews or diaries. Despite the acknowledgement of the necessity of mixing biosensing techniques with qualitative methods, there is little exploration of how research participants understand and interpret biosensing data. With this in mind, this paper presents the results of a biosensing study which has been conducted in Avenida da Igreja, Lisbon (Portugal) between May and September 2022. In this study, 20 individuals participated in a two-step activity. First, participants undertook individual walks wearing a Empatica E4 wristband, which measures electrodermal activity. Secondly, a post-walk interview in which the biosensing data was elicited was conducted. The results of these study highlight the differing interpretations of biosensing data and the generativity of undertaking in-depth conversations through the elicitation of biosensing data.
- Platform Economy and Uneven Financial Geographies: The Case of Fintech in PortugalPublication . Vale, Mário; Ferreira, DanielaThis chapter examines Portugal's fintech ecosystem within the global platform capitalism context, examining its role in urban development and regional disparities. The study addresses the theoretical implications of the global fintech revolution, emphasizing digital transformation and financial inclusion. It details Portugal's fintech evolution, regulatory challenges, and investment trends, noting the concentration of fintech activities in urban centers like Lisbon and Porto. The chapter concludes by discussing the opportunities and challenges facing Portugal's fintech sector, including regulatory navigation, cybersecurity, and the potential for economic inequality.
- Biosensing urban atmospheres: How do research participants interpret biosensing data?Publication . Pedro, Tomás; Paiva, Daniel; Gonçalves, Ana; Ferreira, DanielaWearable biosensors are becoming popular tools for urban scholars interested in the experience of urban atmospheres. Such devices capture physiological signals such as electrodermal activity, brain activity or heart rate, which can be used to understand individual physical, emotional and cognitive responses to the urban environment. For this reason, biosensors have been praised as tools that allow scholars to reduce the burden on research participants, while obtaining more precise data on the affectivity of urban space. However, ongoing biosensing studies show a different scenario. It has been noted that biosensing data is often ambiguous and thus must be contextualized with qualitative data through interviews or diaries. Despite the acknowledgement of the necessity of mixing biosensing techniques with qualitative methods, there is little exploration of how research participants understand and interpret biosensing data. However, such exploration is crucial to understand how biosensing can contribute toward participatory, inclusive and citizen-centric planning and design processes in the city. With this in mind, this paper presents the results of a biosensing study which has been conducted in Avenida da Igreja, Lisbon (Portugal), in which 20 participants undertook individual walks wearing a Empatica E4 wristband, which measures electrodermal activity. After the individual walk, an interview with the elicitation of the biosensor data was conducted with each participants. The results of the study are focused on the participants interpretation of biosensing data.
- Biosensors in urban research: how do participants respond to data visualization?Publication . Paiva, Daniel; Gonçalves, Ana; Ferreira, Daniela; Boavida-Portugal, Inês; Pedro, TomásWearable biosensors are becoming popular tools for urban scholars interested in the experience of urban atmospheres. Such devices capture physiological signals such as electrodermal activity, brain activity or heart rate, which can be used to understand individual physical, emotional and cognitive responses to the urban environment. For this reason, biosensors have been praised as tools that allow scholars to reduce the burden on research participants, while obtaining more precise data on the affectivity of urban space. However, ongoing biosensing studies show a different scenario. It has been noted that biosensing data is often ambiguous and thus must be contextualized with qualitative data through interviews or diaries. Despite the acknowledgement of the necessity of mixing biosensing techniques with qualitative methods, there is little exploration of how research participants understand and interpret biosensing data. However, such exploration is crucial to understand how biosensing can contribute toward participatory, inclusive and citizen-centric planning and design processes in the city. With this in mind, this paper presents the results of two biosensing study which have been conducted in Avenida da Igreja, Lisbon (Portugal) and Krakowskie Przedmieście, Warsaw (Poland) in which participants undertook individual walks wearing a Empatica E4 wristband, which measures electrodermal activity. During the walk, participants were encouraged to visualize their real-time data. After the individual walk, an interview with the elicitation of the biosensor data was conducted with each participant. The results of the study are focused on the participants’ interpretation of biosensing data.