TY - JOUR
T1 - Exploring how politeness impacts the user experience of chatbots for mental health support
AU - Bowman, Robert
AU - Cooney, Orla
AU - Newbold, Joseph
AU - Thieme, Anja
AU - Clark, Leigh
AU - Doherty, Gavin
AU - Cowan, Benjamin R.
N1 - Funding information: This research was conducted with the financial support of the Science Foundation Ireland Centre for Research Training in Digitally-Enhanced Reality (d-real, grant 18/CRT/6224) and Microsoft Research through its PhD Scholarship Programme. This research was additionally conducted in part with the financial support of the Science Foundation Ireland Adapt Research Centre (grant 13/RC/2106_P2).
PY - 2024/4/1
Y1 - 2024/4/1
N2 - Politeness is important in human-human interaction when asking people to engage in sensitive conversations. If politeness manifests similarly in human-chatbot interaction, it may play an important role in the design of sensitive chatbot interactions such as those for providing mental health support. Our mixed methods study (N = 39) contributes findings on how the use of politeness by chatbots, for the mental healthcare activity of mood logging, is perceived by users. Our study combined a within-participants controlled experiment, whereby participants interacted with three prototype chatbots differing in their use of politeness, with semi-structured interviews. Our analysis demonstrates that a chatbot’s use of politeness can impact how a participant experiences interacting with it, both positively and negatively. While politeness can be experienced as caring, supportive, and encouraging, it can also be experienced as overly apologetic, condescending, and untrustworthy. We discuss the nuances of using politeness in conversational interaction design, setting out a research agenda for polite conversational interaction.
AB - Politeness is important in human-human interaction when asking people to engage in sensitive conversations. If politeness manifests similarly in human-chatbot interaction, it may play an important role in the design of sensitive chatbot interactions such as those for providing mental health support. Our mixed methods study (N = 39) contributes findings on how the use of politeness by chatbots, for the mental healthcare activity of mood logging, is perceived by users. Our study combined a within-participants controlled experiment, whereby participants interacted with three prototype chatbots differing in their use of politeness, with semi-structured interviews. Our analysis demonstrates that a chatbot’s use of politeness can impact how a participant experiences interacting with it, both positively and negatively. While politeness can be experienced as caring, supportive, and encouraging, it can also be experienced as overly apologetic, condescending, and untrustworthy. We discuss the nuances of using politeness in conversational interaction design, setting out a research agenda for polite conversational interaction.
U2 - 10.1016/j.ijhcs.2023.103181
DO - 10.1016/j.ijhcs.2023.103181
M3 - Article
SN - 1071-5819
VL - 184
SP - 1
EP - 17
JO - International Journal of Human-Computer Studies
JF - International Journal of Human-Computer Studies
M1 - 103181
ER -