Mengyu Zhong
PhD student at Department of Information Technology; Vi3; Human Machine Interaction
- E-mail:
- mengyu.zhong@it.uu.se
- Visiting address:
- Hus 10, Regementsvägen 10
- Postal address:
- Box 337
751 05 UPPSALA
Short presentation
PhD candidate at the interdiciplinary research centre Womher (Links to an external site.)- Women's Mental Health during the Reproductive Lifespan
Keywords
- research
- user centred design
- machine learning
- forskning
- human-robot interaction
- womher
- tvärvetenskap
- mentalhealth
- interdisciplinary
- centre
- centrumbildning
- psykiskthälsa

Publications
Recent publications
2025
A case study in designing trustworthy interactions: implications for socially assistive robotics
Part of Frontiers in Computer Science, 2023
- DOI for A case study in designing trustworthy interactions: implications for socially assistive robotics
- Download full text (pdf) of A case study in designing trustworthy interactions: implications for socially assistive robotics
Exploring Mothers' Perspectives on Socially Assistive Robots in Peripartum Depression Screening
Part of HRI '23, p. 486-490, 2023
- DOI for Exploring Mothers' Perspectives on Socially Assistive Robots in Peripartum Depression Screening
- Download full text (pdf) of Exploring Mothers' Perspectives on Socially Assistive Robots in Peripartum Depression Screening
Part of ICMI '22, p. 455-467, 2022
- DOI for Unimodal vs. Multimodal Prediction of Antenatal Depression from Smartphone-based Survey Data in a Longitudinal Study
- Download full text (pdf) of Unimodal vs. Multimodal Prediction of Antenatal Depression from Smartphone-based Survey Data in a Longitudinal Study
Gender Fairness in Social Robotics: Exploring a Future Care of Peripartum Depression
Part of Proceedings of the 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI '22), p. 598-607, 2022
All publications
Articles in journal
A case study in designing trustworthy interactions: implications for socially assistive robotics
Part of Frontiers in Computer Science, 2023
- DOI for A case study in designing trustworthy interactions: implications for socially assistive robotics
- Download full text (pdf) of A case study in designing trustworthy interactions: implications for socially assistive robotics
Part of BMJ Open, 2022
- DOI for Predicting perinatal health outcomes using smartphone-based digital phenotyping and machine learning in a prospective Swedish cohort (Mom2B): study protocol
- Download full text (pdf) of Predicting perinatal health outcomes using smartphone-based digital phenotyping and machine learning in a prospective Swedish cohort (Mom2B): study protocol
Comprehensive doctoral thesis
Conference papers
Exploring Mothers' Perspectives on Socially Assistive Robots in Peripartum Depression Screening
Part of HRI '23, p. 486-490, 2023
- DOI for Exploring Mothers' Perspectives on Socially Assistive Robots in Peripartum Depression Screening
- Download full text (pdf) of Exploring Mothers' Perspectives on Socially Assistive Robots in Peripartum Depression Screening
Part of ICMI '22, p. 455-467, 2022
- DOI for Unimodal vs. Multimodal Prediction of Antenatal Depression from Smartphone-based Survey Data in a Longitudinal Study
- Download full text (pdf) of Unimodal vs. Multimodal Prediction of Antenatal Depression from Smartphone-based Survey Data in a Longitudinal Study
Gender Fairness in Social Robotics: Exploring a Future Care of Peripartum Depression
Part of Proceedings of the 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI '22), p. 598-607, 2022
Part of UIST '22, 2022
- DOI for AirLogic: Embedding Pneumatic Computation and I/O in 3D Models to Fabricate Electronics-Free Interactive Objects
- Download full text (pdf) of AirLogic: Embedding Pneumatic Computation and I/O in 3D Models to Fabricate Electronics-Free Interactive Objects
Psychiatrists’ Views on Robot-Assisted Diagnostics of Peripartum Depression
Part of Social Robotics, p. 464-474, 2021