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Ms Beryl Noe
Lecturer
School of Computer Science and Informatics
- NoeB@cardiff.ac.uk
- Abacws, Room Room 3.69, Senghennydd Road, Cathays, Cardiff, CF24 4AG
Overview
My interests include human computer interaction, social and mobile computing. understanding and influencing human behaviour through computing. I am primarily focused on understanding and influencing human behaviour through their use of mobile technology.
Publication
2022
- Noe, B., Bullock, A., Frankish, J. and Turner, L. 2022. Temporal patterns in vital sign recording within and across general hospital wards. Resuscitation Plus 10, article number: 100247. (10.1016/j.resplu.2022.100247)
2020
- Noe, B. 2020. Studying user behaviour through human-smartphone interactions and experience sampling method data. PhD Thesis, Cardiff University.
2019
- Noe, B., Turner, L. D., Linden, D. E. J., Allen, S. M., Winkens, B. and Whitaker, R. M. 2019. Identifying indicators of smartphone addiction through user-app interaction. Computers in Human Behavior 99, pp. 56-65. (10.1016/j.chb.2019.04.023)
- Noe, B., Turner, L. and Whitaker, R. 2019. Smartphone interaction and survey data as predictors of Snapchat usage. Presented at: UbiComp 2019, London, UK, 9-10 Sept 2019Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. pp. 438-445., (10.1145/3341162.3349298)
2017
- Noe, B., Turner, L., Linden, D., Allen, S. M., Maio, G. and Whitaker, R. 2017. Timing rather than user traits mediates mood sampling on smartphones. BMC Research Notes 10, article number: 481. (10.1186/s13104-017-2808-1)
Articles
- Noe, B., Bullock, A., Frankish, J. and Turner, L. 2022. Temporal patterns in vital sign recording within and across general hospital wards. Resuscitation Plus 10, article number: 100247. (10.1016/j.resplu.2022.100247)
- Noe, B., Turner, L. D., Linden, D. E. J., Allen, S. M., Winkens, B. and Whitaker, R. M. 2019. Identifying indicators of smartphone addiction through user-app interaction. Computers in Human Behavior 99, pp. 56-65. (10.1016/j.chb.2019.04.023)
- Noe, B., Turner, L., Linden, D., Allen, S. M., Maio, G. and Whitaker, R. 2017. Timing rather than user traits mediates mood sampling on smartphones. BMC Research Notes 10, article number: 481. (10.1186/s13104-017-2808-1)
Conferences
- Noe, B., Turner, L. and Whitaker, R. 2019. Smartphone interaction and survey data as predictors of Snapchat usage. Presented at: UbiComp 2019, London, UK, 9-10 Sept 2019Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. pp. 438-445., (10.1145/3341162.3349298)
Thesis
- Noe, B. 2020. Studying user behaviour through human-smartphone interactions and experience sampling method data. PhD Thesis, Cardiff University.