Changes for page 3. Evaluation Methods
Last modified by William OGrady on 2024/04/08 22:22
From version 25.1
edited by Rixt Hellinga
on 2024/03/19 23:26
on 2024/03/19 23:26
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To version 27.1
edited by Jean-Paul Smit
on 2024/03/21 16:57
on 2024/03/21 16:57
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... ... @@ -12,7 +12,11 @@ 12 12 13 13 3. **Competence. **Is the design //dependable//; is the design accessible enough for the PwD to rely on it? Does it feel natural? 14 14 15 +4. **Recall**. Can the participant accurately retrieve information through the robot? 15 15 17 +5. Memory self-efficacy. 18 + 19 + 16 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 PwD 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. 17 17 18 18 [[image:Socio-Cognitive Engineering - Frame 1.jpg]]