ABSTRACT
Urban spaces have a great impact on how people feel and behave. There are number of factors that impact our emotional responses to a space. In this paper, we propose an objective way to measure people's emotional reactions in places by monitoring their physiological signals that are related to emotion. By integrating wearable biosensors with mobile phones, we can obtain geo-annotated data relating to emotional states in relation to our spatial surroundings. We are the able to visualize the emotional response data by creating an emotional layer over a geographical map. This can then help us to understand how individuals emotionally perceive urban spaces and help us to illustrate the interdependency between emotions and environmental surroundings.
- S. Matei, et al., "Fear and misperception of Los Angeles urban space: A spatial-Statistical study of communication-shaped mental maps.," Communication Research, vol. 28, pp. 429--463, 2001.Google ScholarCross Ref
- C. Nold. (2006). Bio Mapping Available: http://biomapping.net/Google Scholar
- N. Alajmi, et al., "ShopMobia: Emotion based Shop Rating System," in Proceedings of the 5th International Workshop on Affective Interaction in Natural Environments (AFFINE): Interacting with Affective Artefacts in the Wild, Geneva,Switzerland, 2013.Google Scholar
- G. MacKerron, "mappiness. org. uk," 2011.Google Scholar
- Glow Available: http://glowapp.comGoogle Scholar
- R. N. Mody, et al., "WiMo: location-based emotion tagging," in Proceedings of the 8th International Conference on Mobile and Ubiquitous Multimedia, 2009, p. 14. Google ScholarDigital Library
- L. Al-Barrak and E. Kanjo, "NeuroPlace: making sense of a place," presented at the Proceedings of the 4th Augmented Human International Conference, Stuttgart, Germany, 2013. Google ScholarDigital Library
Index Terms
- Sense of space: mapping physiological emotion response in urban space
Recommendations
Speech-based recognition of self-reported and observed emotion in a dimensional space
The differences between self-reported and observed emotion have only marginally been investigated in the context of speech-based automatic emotion recognition. We address this issue by comparing self-reported emotion ratings to observed emotion ratings ...
Emotions in context: examining pervasive affective sensing systems, applications, and analyses
Pervasive sensing has opened up new opportunities for measuring our feelings and understanding our behavior by monitoring our affective states while mobile. This review paper surveys pervasive affect sensing by examining and considering three major ...
The Effect of Different Affective Arousal Levels on Taste Perception
ICMI '20 Companion: Companion Publication of the 2020 International Conference on Multimodal InteractionThe emotions we experience shape our perception, and our emotion is shaped by our perceptions. Taste perception is also influenced by emotions. Positive and negative emotions alter sweetness, sourness, and bitterness perception. However, most previous ...
Comments