  In recent years, many studies have applied wearable devices to capture
psychophysiological data from software developers. However, the current
literature lacks investigations that classify the studies and point out gaps to
be explored. This article, therefore, seeks to present a comprehensive overview
of the literature by classifying and creating a systematic map of the works.
Besides, it seeks to pinpoint research gaps, challenges, and trends. Based on
widely known guidelines, a systematic mapping of the literature was designed
and run to answer eight research questions. After applying a careful filtering
process, we selected 27 representative studies from a sample of 2,084
potentially relevant works retrieved from seven digital libraries. The main
results are: a classification scheme of the published studies was produced;
there is no predominance of the devices used to capture psychophysiological
data; over 50% of the studies have explored indicators related to mental states
and neural activity; and 80% have analyzed composite data to understand the
cognitive load and in the context of understanding debugging programs and
strategies. Our findings can benefit researchers and students by creating a
systematic map of the literature, being a starting point for future research.
