Emotions in context: examining pervasive affective sensing systems, applications, and analyses

Abstract

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 elements of affective pervasive systems, namely ''sensing,'' ''analysis,'' and ''application.'' Sensing investigates the different sensing modalities that are used in existing real-time affective applications, analysis explores different approaches to emotion recognition and visualization based on different types of collected data, and application investigates different leading areas of affective applications. For each of the three aspects, the paper includes an extensive survey of the literature and finally outlines some of challenges and future research opportunities of affective sensing in the context of pervasive computing.

The roles of emojis in mobile phone notifications

“…None of them have looked at Emojis in phone notification using real-life data. Such effort will contribute to the ongoing to advance Affect Computing research [9][13].…”

Understanding happiness in cities using Twitter: Jobs, children, and transport

“…However, the data from survey based methods are limited in their resolution (spatial-temporal). Alternative sentiment data collection methods employ wearable monitoring systems such as electro-dermalactivity sensors [7]. These systems will yield precise longitudinal data with high spatial-temporal accuracy.…”

Using the Internet of Things to Support Emotional Health

“…These techniques attempt to identify the individual's emotional state by observing their externalized reactions and their physical responses [14] [9]. Observation techniques aim to detect patterns in the actions individuals perform in their daily lives and relate them to the emotions experienced.…”

“…As with the Self-Reporting tools, biosensors try to measure psychological responses [14], but in this case with objective measurements. This is also called biometric measurement of human emotions [13].…”

“…In this context emotion-tracking allows designers and developers to create products and services with better interfaces and more suited to the user's needs [12] [13]. It may be useful for improving healthcare services, making them more personalized, inclusive, and especially, more useful for the monitoring, diagnosis and treatment of cognitive and psychiatric diseases [14] [15].…”