Stress, cognitive, emotional and ergonomic demands in interpreting and translation

Abstract

The autonomic nervous system is responsible for modulating peripheral functions in the human body and consists of sympathetic and parasympathetic branches. Its activation affects, among other things, heart rate, respiratory rate, salivation, perspiration, pupillary dilation, and blink rate. For some years now, physiological measurements have found their way into interpreting and translation studies to investigate, in particular, cognitive, emotional and ergonomic demands and stress in translating, interpreting and post-editing. We conducted a meta-review of publications from 1990 until 2020 in order to investigate the relevance of (a) the four constructs of emotional, cognitive and ergonomic demands and physiological stress and of (b) physiological data for translation and interpreting research. With our selection of search terms, we identified 369 publications investigating one of the four constructs, of which 28 use physiological data. Analysis of the 28 studies shows a tendency towards triangulating physiological with other types of data, which reflects the complexity of the investigated tasks and constructs. Moreover, there seems to be an effort to increase sample size, which is an important step towards more robust results in quantitative research in the field.

Wearable Sensor and Its Application in Urban Landscape Design

“…The applicable groups of urban landscape around colleges and universities include students, faculty members, dormitories, and family members of faculty members. However, the behavior and activities of faculty members, dormitories, and family members of faculty members are relatively single, and the proportion of the number of people is relatively small compared with that of students, so they have little impact on the landscape design of colleges and universities [11,12]. Therefore, the subjects of the study and test are mainly college students.…”

Translation directionality and the Inhibitory Control Model: a machine learning approach to an eye-tracking study

“…For instance, Li et al (2023) measured the stress levels experienced by interpreters during crisis communication using a multimodal mix of physiological data including eye fixations, heart rates, and fluctuating levels of skin conductance. Additional investigations specifically exploring potential correlations between physiological measurements and cognitive loading during translation or interpreting tasks include those by Seeber (2013) , Ehrensberger-Dow et al (2020) , and Gieshoff et al (2021) . Concurrently, while García (2019) and García et al (2016) introduce neuroscientific research relating to translation and interpreting, Walker and Federici (2018) present eye-tracking studies in CTIS.…”