Machine learning approaches to understand the influence of urban environments on human’s physiological response

Ojha, Varun Kumar; Griego, Danielle; Kuliga, Saskia; Bielik, Martin; Bus, Peter; Schaeben, Charlotte; Treyer, Lukas; Standfest, Matthias; Schneider, Sven; König, Reinhard; Donath, Dirk; Schmitt, Gerhard

doi:10.1016/j.ins.2018.09.061

Cited by 44 publications

(45 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From our full-text screening, a number of studies enabled participants to be mobile in the test scenario. The factor leads to the removal of 18 papers, as only six studies tested participants navigating physical or virtual environments by natural walking (Banaei et al 2017;Chen et al 2018;Djebarra et al 2019;Ojha et al 2019;Yin et al 2019;Horvat et al 2018). These six studies (Table 1) form the basis of the discussion section of our paper.…”

Section: Identification Of Studies Using Mobile Navigationmentioning

confidence: 99%

“…Four studies reported using virtual reality environments as their experimental setting (Banaei et al 2017;Djebbara et al 2019;Yin et al 2019;Horvat et al 2018), allowing participants to inhabit the space through movement using head-mounted displays. Two studies (Chen et al 2018;Ojha et al 2019) conduct their experiments in physical urban spaces, where natural walking is included in the tests. All of the studies which utilise virtual reality as the controlled test environment only focus on the impact of visual stimuli (Banaei et al 2017;Djebbara et al 2019;Yin et al 2019;Horvat et al 2018).…”

Section: Multisensory Test and Experiments Settingsmentioning

confidence: 99%

See 1 more Smart Citation

The Impact of Moving through the Built Environment on Emotional and Neurophysiological State - A Systematic Literature Review

Schnabel¹,

Homolja²,

Maghool³

2020

Preprint

View full text Add to dashboard Cite

Despite theoretical evidence about the capabilities of visual properties of space for manipulating inhabitants' emotions, a gap in knowledge exists for empirical studies in controlled environments. Interdisciplinary studies at the intersection of architecture, psychology, and neuroscience can provide robust guidelines and criteria for designers to engineer emotions. Due to the novelty of the field, the theoretical framework for such studies is not well established. Consequently, this paper presents a systematic literature review to find and synthesize recent relevant studies at this intersection. Based on these findings, we will investigate the impact of other visuo-spatial stimuli on emotions in a rigorous way. According to the theories of emotions, manipulation of emotions is linked to oscillations in physiological responses caused by exposure to sensory stimuli. Moreover, there is a consensus that human perception is action-oriented. Therefore, our review focuses on studies that employ biosensors as subjects move in physical or virtual environments.

show abstract

Section: Identification Of Studies Using Mobile Navigationmentioning

confidence: 99%

Section: Multisensory Test and Experiments Settingsmentioning

confidence: 99%

The Impact of Moving through the Built Environment on Emotional and Neurophysiological State - A Systematic Literature Review

Schnabel¹,

Homolja²,

Maghool³

2020

Preprint

View full text Add to dashboard Cite

show abstract

“…The overall size of the study area was determined by the number of data points given by an underlying analysis grid used for the purpose of analyzing the trade-offs between different potentials at the same location. Since the maximum size of one grid cell has to be small enough to capture the variation in the highly location-sensitive psychological and energy potential (see respective sections for details), we end up at fine-grained, empirically calibrated analysis grid of 15 by 15 m [11] accounting for over 55,000 cells per study area.…”

Section: Structure Of the Articlementioning

confidence: 99%

“…In the field study 30 participants took part where 10 EDA signals were discarded and the remaining 20 uncorrupt EDA signals were used for data analysis. Due to technical issues and time limitations the field study with the backpack and the Empatica Device was only conducted for Zurich [11]. A pre-study using an analogous method for Weimar can be found in Bielik et al, 2015 [54].…”

Section: Experimental Set-upmentioning

confidence: 99%

See 1 more Smart Citation

Examining Trade-Offs between Social, Psychological, and Energy Potential of Urban Form

Bielik

Schneider

Kuliga

et al. 2019

IJGI

Self Cite

View full text Add to dashboard Cite

Urban planners are often challenged with the task of developing design solutions which must meet multiple, and often contradictory, criteria. In this paper, we investigated the trade-offs between social, psychological, and energy potential of the fundamental elements of urban form: the street network and the building massing. Since formal methods to evaluate urban form from the psychological and social point of view are not readily available, we developed a methodological framework to quantify these criteria as the first contribution in this paper. To evaluate the psychological potential, we conducted a three-tiered empirical study starting from real world environments and then abstracting them to virtual environments. In each context, the implicit (physiological) response and explicit (subjective) response of pedestrians were measured. To quantify the social potential, we developed a street network centrality-based measure of social accessibility. For the energy potential, we created an energy model to analyze the impact of pure geometric form on the energy demand of the building stock. The second contribution of this work is a method to identify distinct clusters of urban form and, for each, explore the trade-offs between the select design criteria. We applied this method to two case studies identifying nine types of urban form and their respective potential trade-offs, which are directly applicable for the assessment of strategic decisions regarding urban form during the early planning stages.

show abstract

Classification of Musical Preference in Generation Z Through EEG Signal Processing and Machine Learning

Ward

Pravin

Chetcuti

et al. 2021

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

Machine learning approaches to understand the influence of urban environments on human’s physiological response

Cited by 44 publications

References 23 publications

The Impact of Moving through the Built Environment on Emotional and Neurophysiological State - A Systematic Literature Review

The Impact of Moving through the Built Environment on Emotional and Neurophysiological State - A Systematic Literature Review

Examining Trade-Offs between Social, Psychological, and Energy Potential of Urban Form

Classification of Musical Preference in Generation Z Through EEG Signal Processing and Machine Learning

Contact Info

Product

Resources

About