- Title
- A process for integrated fitness and menstrual cycle data visualisations
- Creator
- Taljaard, Isabelle
- Subject
- Human-computer interaction
- Subject
- Personal information management
- Subject
- Medical informatics -- Standards
- Date Issued
- 2024-04
- Date
- 2024-04
- Type
- Master's theses
- Type
- text
- Identifier
- http://hdl.handle.net/10948/64379
- Identifier
- vital:73689
- Description
- The increase in female participation in sport has led to an increase in research reporting on the relationship between fitness and menstrual cycle (F&M) data. Fitness variables such as VO2 max and heart rate are influenced by menstrual hormones and change with the different phases of a cycle. People frequently track both their F&M data, to understand their long-term activity and their body’s changes during the different cycle phases. Both these data sets are tracked and visualised separately to help people understand their data, however little work has been done to visualise the relationship between the two data sets. A process that guides the creation of an integrated F&M visualisation does not exist. This research aimed to develop and adopt a process that could be used to successfully guide the creation of an integrated F&M visualisation. The study followed the Design Science Research Methodology (DSRM) to create a primary and secondary artefact – the process and instantiation thereof. The DSRM was applied in iterative cycles where the process was developed, instantiations created and evaluated by participants. To develop the process, existing data processing and visualisation processes were reviewed from literature, to assess their successes and shortcomings. The review of existing processes revealed what steps, and factors related to those steps, would need to be considered. The process review highlighted the importance of five process steps: planning, collection, access, integration, and visualisation. Once the conceptual process was designed, it was adapted for the goal of creating an integrated F&M data visualisation. Prior to implementation, the process was first tested in a pilot study to ensure its validity before involving participants in data collection. After the process pilot study, the final implementation of the process took place and participants were recruited. In the first step of the process, the different fitness data types that are influenced by the menstrual cycle, and vice versa, were identified through a literature review. In the second step, devices to be used for data collection were evaluated and tested through exploratory testing and review of user manuals available online. The third and fourth steps, access, and integration were informed by further exploratory testing and review of relevant literature. The fifth step, data visualisation, was guided by relevant studies, Hick’s law, and the Schema Theory. Two Iterations of DSR were conducted in two phases. Phase 1 (P1) was the instantiation of the planning, collection, access, and processing steps. Participants wore smartwatches while going about their daily lives and working out and tracked their menstrual cycle to collect data. P1data was used to create several instantiations of the process. The second phase (P2) was the instantiation the visualisation step. The final visualisations, resulting from the instantiations, were evaluated by participants in P2. The review notes were used to improve both the process and the final visualisations. Both P1 and P2 were repeated (iterated) twice. The recommended process can be used by anyone who wants to create an integrated F&M visualisation and was designed to be modular so that users could choose to follow the whole process or only specific steps. The findings of this research can provide guidance to users, developers and smartwatch manufacturers of what people’s preferences are for these integrated visualisations. It also provides guidance for those who wish to create their own visualisations without needing prior programming experience or knowledge, since easy to use, online visualisation tools are recommended. The process instantiations will assist people, especially women, to better understand their menstrual cycle and how it affects their physical well-being.
- Description
- Thesis (MCom) -- Faculty of Science, School of Computer Science, Mathematics, Physics and Statistics, 2024
- Format
- computer
- Format
- online resource
- Format
- application/pdf
- Format
- 1 online resource (xiii, 135 pages)
- Format
- Publisher
- Nelson Mandela University
- Publisher
- Faculty of Science
- Language
- English
- Rights
- Nelson Mandela University
- Rights
- All Rights Reserved
- Rights
- Open Access
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Collections
NMU School of Computer Science, Mathematics, Physics and Statistics
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Taljaard, I.pdf | 4 MB | Adobe Acrobat PDF | View Details Download |