University of Nottingham Ningbo ChinaFaculty of Science and EngineeringDepartments and SchoolsComputer ScienceIn-the-Wild (Human-Computer Interaction) Lab

In-the-Wild (Human-Computer Interaction) Lab

 

The In-the-Wild Lab creates interactive technologies to enhance everyday life. Our research is grounded in the field of Human-Computer Interaction. We combine an interdisciplinary approach (linking to the Social Sciences and Humanities) with an intra-disciplinary approach (with areas such as Distributed Systems, AI and Machine Learning, Vision and Formal Methods) to enable an end-to-end methodology in which we both develop novel digital technologies and understand them in realistic environments.

Our focus on everyday life extends beyond the workplace to encompass technologies for the home, the workplace and for culture and entertainment. Research activity has had direct impact on society through:

  • Public engagement via staging a series of public events and activities that are centred in the lab.
  • Development of innovative and new graphical interfaces for software.
  • Promoting research collaborations with art collectives and creative industries.
  • Users and industrial beneficiaries of global human-computer interaction research who use it to advance their products.
  • Mixed Reality (MR) technologies with Generative AI.
  • Extended reality in healthcare and education, including but not limited to industries, public sectors, and institution.

Selected Publications

  • L. Sun, B. G. Lee and W. Y. Chung, “Enhancing Fire Safety Education Through Immersive Virtual Reality Training with Serious Gaming and Haptic Feedback,” International Journal of Human–Computer Interaction, pp. 1–16, 2024, DOI:  10.1080/10447318.2024.2364979. (JCR Q1, CCF-B)
  • L. Zhu, R. Wu, B. -G. Lee, L. Nkenyereye, W. -Y. Chung and G. Xu, "FEGAN: A Feature-Oriented Enhanced GAN for Enhancing Thermal Image Super-Resolution," in IEEE Signal Processing Letters, vol. 31, pp. 541–545, 2024, DOI: 10.1109/LSP.2024.3356751. (JCR Q1)
  • R. Wu, B. G. Lee, M. Pike, L. Zhu, X. Chai and Y. Wang, "Enhancing DF-INS for Accurate Zero-Velocity Detection in ILBS: A Dual Foot Synergistic Method," 2023 IEEE SENSORS, Vienna, Austria, 2023, pp. 1–4, DOI: 10.1109/SENSORS56945.2023.10325168. (CAA-B)
  • W. Du, G. Yi, O. M. Omisore, W. Duan, T. O. Akinyemi, X. Chen, L. Wang, B. G. Lee and J. Liu, "Guidewire Endpoint Detection Based on Pixel Adjacent Relation in Robot-assisted Cardiovascular Interventions," 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Sydney, Australia, 2023, pp. 1-5, DOI: 10.1109/EMBC40787.2023.10340841.
  • X. Chai, B. G. Lee, M. Pike, R. Wu, D. Chieng and W. -Y. Chung, "Pre-Impact Firefighter Fall Detection Using Machine Learning on the Edge," in IEEE Sensors Journal, vol. 23, no. 13, pp. 14997–15009, July 1, 2023, DOI: 10.1109/JSEN.2023.3279858. (JCR Q1)
  • R. Wu, M. Pike, X. Chai, B. G. Lee, W. -Y. Chung and L. Nkenyereye, "GA-PDR: Using Gait Analysis for Heading Estimation in PDR Based Indoor Localization System," IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, 2023, pp. 1–6, DOI: 10.1109/IECON51785.2023.10312643. (CAA-A)
  • R. Wu, B.G. Lee, M. Pike, L. Zhu, X. Chai, L. Huang and X. Wu, “IOAM: A Novel Sensor Fusion-Based Wearable for Localization and Mapping,” Remote Sensing, vol. 14, no. 23, pp. 6081, 2022, DOI: 10.3390/rs14236081. (JCR Q1)
  • S. Benford, R. Ramchurn, J. Marshall, M. L. Wilson, M. Pike, S. Martindale, A. Hazzard, C. Greenhalgh, M. Kallionpaa, P. Tennent and B. Walker, “Contesting Control: Journeys through Surrender, Self-Awareness and Looseness of Control in Embodied Interaction,” Human–Computer Interaction, vol. 36, no. 5, pp. 361–389, 2020 DOI: 10.1080/07370024.2020.1754214. (JCR Q1)
  • M. Pike, K. Shen and D. Towey, "Supporting Computer Science Student Reading through Multimodal Engagement Interfaces," 2019 IEEE International Conference on Engineering, Technology and Education (TALE), Yogyakarta, Indonesia, 2019, pp. 1-6, DOI: 10.1109/TALE48000.2019.9225970.
  • B. G. Lee and S. M. Lee, "Smart Wearable Hand Device for Sign Language Interpretation System with Sensors Fusion," in IEEE Sensors Journal, vol. 18, no. 3, pp. 1224–1232, 1 Feb.1, 2018, DOI: 10.1109/JSEN.2017.2779466. (JCR Q1)
  • D. S. Lee, T. W. Chong and B. G. Lee, "Stress Events Detection of Driver by Wearable Glove System," in IEEE Sensors Journal, vol. 17, no. 1, pp. 194–204, 1 Jan.1, 2017, DOI: 10.1109/JSEN.2016.2625323. (JCR Q1)
  • M. Pike, and E. Ch'ng, “Evaluating Virtual reality Experience and Performance: A Brain-based Approach,” In Proceedings of the 15th ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Applications in Industry-Volume 1, pp. 469–474, 2016, DOI: 10.1145/3013971.3014012. (CCF-A)
  • M. Pike, R. Ramchurn, S. Benford and M. L. Wilson, “#Scanners: Exploring the Control of Adaptive Films using Brain-Computer Interaction,” In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 5385–5396, 2016, DOI: 10.1145/2858036.2858276. (CCF-A)

 

Awards

  • Gold Medal in the 2022 8th China International College Students' “Internet+” (“互联网+”) Innovation and Entrepreneurship Competition.
  • Third Prize in the 2023 “Maker China” (“农行杯”) SME Innovation & Entrepreneurship Competition Advanced Manufacturing Special Race.
  • First Prize in the 2023 7th Ningbo National Selection Competition for Young College Student Entrepreneurship (Wuhan Division) (第七届宁波面向全国青年大学生创业大赛全国选拔赛).
  • 2023 Ningbo Computer Innovation and Entrepreneurship Prize for College Students (宁波市大学生计算机创新创业奖).
  • Best Paper Award at 15th International Conference on Intelligent Human Computer Interaction (IHCI-2023), Nov. 2023.
  • Best Session Paper Award at 10th International Conference on Open and Innovative Education (ICOIE 2023), Jul. 2023.
  • Best Paper Award at 13th International Conference on Intelligent Human Computer Interaction (IHCI-2021), Oct. 2021.
  • 2019 IEEE Sensors Journal Best Paper Award, “Smart Wearable Hand Device for Sign Language Interpretation System with Sensors Fusion,” IEEE Sensors Council.

 

PhD Opportunities and Research Topics

Topic A: Research on Smart Wearable Multi-Sensor Fusion
Topic B: Research on Extended Reality (XR) and Generative AI (GAI)

 

 

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Lab Director

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Dr Matthew Pike
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Dr Boon Giin Lee

Contact Us

Dr Matthew Pike Matthew.Pike@nottingham.edu.cn

Dr Boon Giin Lee 
Boon-giin.lee@nottingham.edu.cn