Sara Syed
Brown University, Providence, Rhode Island, United States
Online peer support provides space for individuals to connect with others and seek support. However, while empathy is critical for effective support, studies have found that highly empathetic support on these platforms can be rare. Using data from online peer support platforms, we conducted a mixed-methods analysis to study the factors that lead to support seekers’ perceived empathy. We found that CBT techniques like active listening and reflective restatements, along with fostering a space for exploration, increase perceived empathy, whereas rigid adherence to structure, misalignment of concerns, and lack of emotional validation can contribute to low perceived empathy. In addition, despite the high levels of empathy reported by most support seekers (85%), computational models reported low averaged empathy (1.69/6). Lastly, we propose that empathy is not a quantifiable metric and that future algorithmic empathy measurements require human perspectives.
doi.org/10.1145/3613904.3642034
The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)