Chatbot faces that match their messages leave customers more satisfied, four experiments find

The researchers traced the effect through two routes. Customers who saw matched cues perceived the chatbot as more empathetic and more trustworthy, and those perceptions carried the effect on satisfaction and intention to keep using the service. For companies deploying service chatbots, this suggests the visual cues around a message may matter alongside its wording.

The effect was not uniform. A high customer loyalty tier weakened it, as the authors expected. Human intervention unexpectedly weakened the effect on perceived empathy, and product involvement made no significant difference.

The study draws on the sensory marketing framework and cue congruence theory. It examines how coordinating a chatbot's visual cues with its message content shapes customer reactions when a service has gone wrong, a point where customer satisfaction is at risk.

Four experiments tested the proposed effects, analysed with ANOVA and structural equation modeling. The mediation analyses confirmed that perceived empathy and perceived trustworthiness explain why matched expressions improve satisfaction and continuance intention.

The authors also tested three contextual factors. Product involvement had no significant moderating effect. Human intervention unexpectedly weakened the effect on perceived empathy. A high customer loyalty tier attenuated the effect as expected, so the benefit appears smaller for the most loyal customers.