University of Twente Student Theses
Designing an intuitive Wearable Device Selection Tool for stress monitoring research
van Marle, J.T. (2024) Designing an intuitive Wearable Device Selection Tool for stress monitoring research.
Full text not available from this repository.
Full Text Status: | Access to this publication is restricted |
Embargo date: | 10 July 2025 |
Abstract: | The database created by members of the consortium is quite extensive, and looking through the database to select the best option for a particular research project can be extraneous. Researchers and academic will have to sift through a long list of available devices and their specifications to identify those that offer necessary features for their specific studies. Furthermore, as many consumer devices might be more affordable and accessible, many of them are not necessarily suitable for research purposes. There is a risk that wearable devices may lack the precision and accuracy required for scientific investigations which could potentially compromise the validity of the findings of a research. Therefore, researchers need to exercise caution and should thoroughly evaluate the wearable devices before selecting the correct one for their specific study by considering factors such as data accuracy, reliability, battery life, costs, and compatibility. Due to the high amount of detail in the database, such comparisons become difficult. For this reason, a selection tool is required, one that would enable a researcher to compile a list of the best wearable devices to use based on applied filters. Such a selection tool is known as a RS. An RS, is an algorithmic tool that employs various techniques to generate personalised recommendations as will be explained in Section 2.3. It aims to enhance user experience and deliver tailored suggestions by alleviating information overload and facilitating decision making processes. Functionally an RS operates on various methodologies, commonly including collaborative filtering and content based filtering. Collaborative filtering uses insight from users to create preferences which will be further explained in Section 2.3.1, while content-based filtering uses the intrinsic attributes of items in a database to give optimal recommendations which will be further explained in Section 2.3.2. When it comes to the selection of wearable devices, an RS serves to enhance the decision making process of a user by synthesising their preferences and the characteristics of the items present in the database. The RS provides a user with filtered selections that suit the user’s needs and preferences. |
Item Type: | Essay (Bachelor) |
Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
Subject: | 42 biology, 54 computer science |
Programme: | Creative Technology BSc (50447) |
Link to this item: | https://purl.utwente.nl/essays/100798 |
Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Repository Staff Only: item control page