This guideline emphasizes empowering users to provide feedback on their preferences during regular interactions with the chatbot, fostering a user-centric approach tailored to user well-being.
Practical implementation involves incorporating features within the chatbot interface that allow users to easily provide feedback on their preferences. This includes options for users to indicate their preferences during regular interactions, such as through ratings, error correction, multiple-choice questions, and emojis.
Furthermore, the chatbot should allow users to continue indicating their preferences even after onboarding, ensuring that their feedback is continuously solicited and valued. This ongoing feedback loop enables the chatbot to adapt and tailor its interactions to better meet the needs and preferences of users over time.
By empowering users to provide feedback on their preferences, the chatbot fosters a user-centric approach that prioritizes user well-being and satisfaction. This collaborative approach enhances user engagement and trust, ultimately contributing to a more effective and supportive user experience in mental health chatbot interactions.
