@inproceedings {pub6307,
	title = {SRWToolkit: An Open Source Wizard of Oz Toolkit to Create Social Robotic Avatars},
	author = {Atikkhan Faridkhan Nilgar AND Kristof Van Laerhoven AND Ayub Kinoti},
	year = {2025},
	month = {September},
	abstract = {We present an open-source social robot Wizard of Oz toolkit designed to facilitate the development and evaluation of interactive social robotic avatars powered by local large language models. The web-
based system supports multimodal interaction via text, button-activated speech, and wake-word commands and allows real-time customization of robot behavior, language, and voice through a control panel. Un-
like prior toolkits dependent on cloud-based services, our framework emphasizes modularity, and offline functionality via on-device LLM inference. A study with 11 participants involving the design of diverse
robot roles (e.g., hospital receptionist, math teacher, driving assistant) demonstrated positive outcomes in toolkit usability (SUS), user experience (UEQ), and trust. The toolkit is open, extensible, and supports
scalable experimentation in human-robot interaction.},
	publisher = {Springer, LNCS, LNAI, LNBI},
	url = {https://arxiv.org/abs/2509.04356},
	booktitle = {17th International Conference on Social Robotics + AI (ICSR 2025)},
	city = {Naples, Italy},
	series = { Lecture Notes in Artificial Intelligence}
}