A behaviour insight is a statement that explains the behaviour of a user’s activity or a system’s performance under certain conditions. Care must be taken to deliver insights in a way that is useful to the user. Mining for such insights and generating text to communicate about those is a complicated process and there is a need for standardisation to ensure it is done properly. In this work, we lay down the foundation towards a generalised behaviour insight mining framework based on our previous experiences in developing them and express our views on how it can be adopted in a wide range of applications such as Sleep, Marketing, Medical Image Diagnosis and clinical workﬂow management.
|Title of host publication
|Proceedings of the First Workshop on Smart Personal Health Interfaces, SmartPhil 2020
|Sergio Consoli, Diego Reforgiato Recupero, Daniele Riboni
|Number of pages
|Published - 17 Mar 2020
|SmartPHIL: 1st Workshop on Smart Personal Health Interfaces - Cagliari, Italy
Duration: 17 Mar 2020 → 20 Mar 2020
|CEUR Workshop Proceedings
|17/03/20 → 20/03/20
Bibliographical noteProceedings of the First Workshop on Smart Personal Health Interfaces co-located with 25th International Conference on Intelligent User Interfaces (IUI 2020) Cagliari, Italy, March 17, 2020.
This work was supported by the Horizon H2020 Marie Sklodowska-Curie Actions Initial Training Network European Industrial Doctorates project under grant agreement No. 812882 (PhilHumans). The authors would like to acknowledge the CLAN reading group at the University of Aberdeen for their valuable feedback and discussions that greatly helped this work.
- data-to-text system