Project homeWiki source code of 3. Evaluation Methods
Version 23.2 by Mark Neerincx on 2024/03/18 16:01
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18.1 | 1 | To ground the design rationale in practice, the prototype of the NAO for the subject will be evaluated in a formative evaluation with the subject and their caregivers. The evaluation will investigate the process of how interaction with the NAO can alleviate potential symptoms caused by early-stage dementia in subjects. Three methods of evaluation will be applied to have reliable and accurate results, as Bethel. et al (2020)[1] suggests. |
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3.2 | 2 | |
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22.1 | 3 | The study will focus on the prototype's potential effects, which are based on the desired value of autonomy as a part of self-direction. Before the study, possible confounding variables need to be examined such as the subject's attitude towards robots and the **autonomy, relatedness** and **competence**. |
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18.1 | 4 | |
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4.4 | 5 | ==== Study design claims ==== |
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3.2 | 7 | The study will investigate the claims on the following questions: |
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15.1 | 9 | ~1. **Autonomy. **Does the design increase the sense of //autonomy //in a subject? |
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3.3 | 10 | |
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22.1 | 11 | 2. **Relatedness. **Does the design positively affect the subject's //affective //state? Do subjects //like// the system? |
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3.3 | 12 | |
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22.1 | 13 | 3. **Competence. **Is the design //dependable//; is the design accessible enough for the subject to rely on it? Does it feel natural? |
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18.1 | 16 | For a sample size as small as 20 participants, it is most adequate to apply a within-subjects design (they require fewer participants) [1]. That means there is an approach where every subject is experiencing all of the conditions examined. A within-subjects design might be prone to confounds such as pre-existing notions in the environment. That is why the attitude towards robots and the pre-study sense of affect and autonomy should be examined and evaluated as such. Another confounder variable to look into is the study location and environment. |
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5.1 | 17 | |
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3.12 | 18 | [[image:Socio-Cognitive Engineering - Frame 1.jpg]] |
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3.7 | 19 | |
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9.1 | 20 | / |
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3.7 | 21 | |
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3.10 | 23 | == References == |
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23.1 | 25 | [1] Bethel, C.L., Henkel, Z., Baugus, K. (2020). Conducting Studies in Human-Robot Interaction. In: Jost, C., //et al.// Human-Robot Interaction. Springer Series on Bio- and Neurosystems, vol 12. Springer, Cham. https:~/~/doi.org/10.1007/978-3-030-42307-0_4 |