Where is emotional feeling felt in the body? An integrative review

Contemporary research on “embodied emotion” emphasizes the role of the body in emotional feeling. The evidence base on interoception, arguably the most prominent strand of embodied emotion research, places emphasis on the cardiac, respiratory and gastrointestinal systems. In turn, interoception has evidence-based links with improved emotion regulation. Despite the focus on separate bodily systems, it is unclear whether particular interoceptive locations play a greater role in emotional feeling and emotion regulation. Further, according to Gross’ “process model”, the sooner that regulation of an emotion occurs, the better; hence, it is additionally important to identify the first body areas to activate. These issues are investigated in a two-stage integrative review. The first stage was preliminary, giving an overview of the evidence base to highlight the distribution of measured body areas. This indicated that 86% of publications (n = 88) measured cardiac activity, 26% measured the respiratory system, and six percent the gastrointestinal system. Given the emphasis placed on all three systems in interoception theory and research on emotion, this suggests a dearth of comprehensive findings pertaining to feeling locations. The second stage investigated the core issues of where emotional feelings are felt in the body and time-related implications for regulation. This was based on ten texts, which together suggested that the head, throat and chest are the most consistently detected locations across and within numerous emotional contexts. Caution is required, however, since–among other reasons discussed–measurement was not time-restricted in these latter publications, and direct physiological measurement was found in only a minority of cases.

The Place for Gloom

Beginning the final section of the book, which shows how early Romanticism tames the spiritualist impulse, this chapter considers poetic re-embodiment in relation to psychological depression, called “gloom” by the poet and critic Anna Letitia Barbauld. She faulted Edward Young for having popularized a dangerously gloomy sublimity that, by separating souls from bodies, desensitized readers to subtle and modest everyday feelings. As a remedy, her writing praises the enlightened “chearfulness” of Mark Akenside, a healthy middle register of embodied emotion that is neither too dark nor too bright. Yet Barbauld eventually came to agree, the chapter argues, with medical experts who had decided that melancholy is an affliction more of matter than mind. Late poems, crowned by Eighteen Hundred and Eleven (1812), both accept that gloom belongs in the physical body and identify the poet’s own voice with that body. De-souled and dispirited, Barbauld at last domesticates Young’s otherworldly passion. She makes depression political by making it ordinary.

Embodied Emotion Recognition Based on Life-Logging

Embodied emotion is associated with interaction among a person’s physiological responses, behavioral patterns, and environmental factors. However, most methods for determining embodied emotion has been considered on only fragmentary independent variables and not their inter-connectivity. This study suggests a method for determining the embodied emotion considering interactions among three factors: the physiological response, behavioral patterns, and an environmental factor based on life-logging. The physiological response was analyzed as heart rate variability (HRV) variables. The behavioral pattern was calculated from features of Global Positioning System (GPS) locations that indicate spatiotemporal property. The environmental factor was analyzed as the ambient noise, which is an external stimulus. These data were mapped with the emotion of that time. The emotion was evaluated on a seven-point scale for arousal level and valence level according to Russell’s model of emotion. These data were collected from 79 participants in daily life for two weeks. Their relationships among data were analyzed by the multiple regression analysis, after pre-processing the respective data. As a result, significant differences between the arousal level and valence level of emotion were observed based on their relations. The contributions of this study can be summarized as follows: (1) The emotion was recognized in real-life for a more practical application; (2) distinguishing the interactions that determine the levels of arousal and positive emotion by analyzing relationships of individuals’ life-log data. Through this, it was verified that emotion can be changed according to the interaction among the three factors, which was overlooked in previous emotion recognition.