Situational determinants of cognitive, affective, and compassionate empathy in naturalistic digital interactions

Empathy is apparent in computer-mediated communication (CMC), yet little is known about the situational predictors of empathic responses when interacting digitally. We used a diary methodology to explore: (1) the degree three types of empathy (cognitive, affective, and compassionate) are experienced in students' everyday (text- and image-based) dyadic digital interactions; (2) which situational factors are important for (different types of) empathy in CMC; and (3) how empathy reported in everyday CMC affects participants' perceptions of their empathy in CMC and face-to-face (FtF) contexts. One hundred student volunteers (50 women, Mage = 22.57 years) completed a “digital interaction diary” for three consecutive days, yielding 1939 observations. Participants reported significantly more cognitive than affective empathy, and significantly greater affective than compassionate empathy. Several situational variables (e.g., number of communications, recipient) were related to empathy overall, while others (e.g., subject, mood) contributed to discrete contextual profiles for the empathy subtypes. Empathy reported in the diaries predicted a more favourable ratio of perceived CMC to FtF empathy, particularly for those lower in baseline trait empathy. These findings help elucidate the multidimensional experience of empathy in CMC interactions.