Chia-Hsin Wu

I am a Doctoral Researcher affiliated with the Convergence of Humans and Machines project, focusing on the topic "Robots as Companions to Support Life-Long Wellness". 

My research is dedicated to investigating the perceived trustworthiness within Human-Robot Interaction, with a particular emphasis on vulnerable user groups, namely children and older adults.

• Huawei Best PhD Publication Award 2023. Issued by Huawei Fund and Industry Research Fund at Tampere University of Technology sr.

Wu, Ahtinen, & Väänänen (2023). Walking Outdoor with a Zoomorphic Mobile Robot: Exploration of Robot-Assisted Physical Activities for Older Adults. IEEE International Conference on Robot and Human Interactive Communication, DOI: 10.1109/RO-MAN57019.2023.10309627

• Winner of the SIGCHI Finland Master's Thesis Competition 2022. Issued by SIGCHI Finland

Wu (2022). Primary School Pupils Programming Robotic Application: Learning Experience During a Long-Term Trial. Master’s Thesis. Publication of Faculty of Information Technology and Communication Sciences, http://urn.fi/URN:NBN:fi:tuni-202203282810

• Teaching assistant for the master’s level courses, including HTI.210. Psychology in Human-Technology Interaction, HTI.460 User Experience in Robotics, and HTI.400 Cross-Cultural Design

Physical and emotional wellness are interconnected and contribute to the overall well-being of a person. The adaptive behaviors of companion robots have demonstrated promising potential in promoting physical-emotional wellness. However, social acceptance remains a key challenge in robotics implementation, particularly for vulnerable users who have limited knowledge of robotics and their integrated sensors. Perceived trustworthiness is one key component in determining the social acceptability of companion robots. To address this concern, my doctoral research aims to comprehend the trustworthiness of companion robots as perceived by children and older adults.

Computer Sciences, Faculty of Information Technology and Communication Sciences, Human-Centered Technology (IHTE)

My on-going doctoral project, CONVERGENCE of Humans and Machines, has received 4-year funding provided by the Jane and Aatos Erkko Foundation

• Sep 2023– Aug 2027, Doctoral Researcher, CONVERGENCE of Humans and Machines, Tampere University, Finland

Focusing on vulnerable users’ (i.e., children under 18 years old and older adults over 65 years old) technology literacy and perceived trustworthiness of companion robots in wellness contexts.

• Apr 2022 – Aug 2023, Researcher, AI Hub Tampere project 2.0, Tampere University, Finland

Researching and providing AI-based solutions through social robots to small and medium-sized enterprises in the Pirkanmaa region for improving their services in wellness aspects

1. Wu (2022). Primary School Pupils Programming Robotic Application: Learning Experience During a Long-Term Trial. Master’s Thesis. Publication of Faculty of Information Technology and Communication Sciences, http://urn.fi/URN:NBN:fi:tuni-202203282810
2. Wu, Ahtinen, & Väänänen (2023). Walking Outdoor with a Zoomorphic Mobile Robot: Exploration of Robot-Assisted Physical Activities for Older Adults. IEEE International Conference on Robot and Human Interactive Communication, DOI: 10.1109/RO-MAN57019.2023.10309627
3. Chowdhury, Ahtinen, Wu, Väänänen, Taidi, & Pieters (2023). Exploring the Personality Design Space of Robots: Personalities and Design Implications for Non-Anthropomorphic Wellness Robots. IEEE International Conference on Robot and Human Interactive Communication, DOI: 10.1109/RO-MAN57019.2023.10309438
4. Ahtinen, Chowdhury, Ramirez Millan, Wu, & Menon (2023). Co-Learning Around Social Robots with School Pupils and University Students – Focus on Data Privacy Considerations. International Conference on Human-Agent Interaction. DOI: 10.1145/3623809.3623816
5. Ahtinen, Chowdhury, Beheshtian, Ramirez Millan, & Wu (2023). Collaborative Learning with Social Robots – Reflections on the Novel Co-Learning Concepts Robocamp and Robotour. International Conference on Human-Computer Interaction, DOI: 10.1007/978-3-031-34550-0_18