Changes for page 3. Evaluation Methods
Last modified by William OGrady on 2024/04/08 22:22
From version 29.1
edited by Jean-Paul Smit
on 2024/03/21 17:05
on 2024/03/21 17:05
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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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... ... @@ -12,9 +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. ** Memory self-efficacy** and **Recall**.(pre-study)How good are participants at remembering information? (post-study)Can the participant accurately retrieve information through the robot?15 +4. **Recall**. Can the participant accurately retrieve information through the robot? 16 16 17 +5. Memory self-efficacy. 17 17 19 + 18 18 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. 19 19 20 20 [[image:Socio-Cognitive Engineering - Frame 1.jpg]]
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... ... @@ -1,1 +1,0 @@ 1 -xwiki:XWiki.jeanpaulsmit - Comment
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... ... @@ -1,1 +1,0 @@ 1 -Thank you for this valuable suggestion, we adjusted our study design based on it already. Now, would you say that 4-5 dependent variables is too much to evaluate in our study or will it suffice within the time? For example Affect can be measured with a button ([[http:~~/~~/ii.tudelft.nl/~~~~joostb/affectbutton_version2_original.html>>http://ii.tudelft.nl/~~joostb/affectbutton_version2_original.html]]) that takes less than a minute, but the other variables will add up some time. - Date
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... ... @@ -1,1 +1,0 @@ 1 -2024-03-21 17:03:29.591 - Reply To
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