Research in Human-Computer Interaction (HCI) has shown that caring for others, including both humans (e.g., close friends) and computers (e.g., Tamagotchi), can have a positive effect on people's wellbeing. However, we know less about the potential role of conversational AI in such settings. In this work, we explore how AI chatbots can support plant care and, in turn, positively influence people's well-being. We developed a mobile application that allows users to `talk' to their plants via chatbots. We evaluated the application with ten participants and conducted semi-structured interviews based on Seligman's PERMA model, which identifies pillars of psychological well-being. Our findings suggest positive effects, with participants reflecting on a sense of connection to their plants and corresponding feelings of accomplishment. While our findings suggest that participants were generally positive about the app, they also raised concerns about the diverse preferences and expectations of users regarding interactions with chatbots representing plants.
@article{arxiv.2603.00598,
title = {PlantWhisperer: Designing Conversational AI to Support Plant Care},
author = {Daniel Mejer Christensen and Katja Stougård Jørgensen and Josefine Palsgaard Wyrtz and Jennie Torp Overgaard and Niels van Berkel and Joel Wester},
journal= {arXiv preprint arXiv:2603.00598},
year = {2026}
}