Wearable Sensing for Longitudinal Automatic Task Analysis
A day in your life can be described in terms of a series of tasks: you begin each task, become loaded to some extent by the objects, movements, communication and/or mental challenges required by that task, then you later switch to a new task, and so on. However, methods for task analysis to date, such as the diary method are manual, post-hoc and subjective, and therefore impossible to scale for large numbers of users or to directly interface with computing systems.
Authors
- Julien Epps (ORCID: https://orcid.org/0000-0001-6624-5551)
Institutions
- UNSW Sydney (AU)
Publication Details
- Published
- 2024-10-23
- DOI
- https://doi.org/10.1145/3689092.3689417
- Citations
- 1
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.64