Changes for page 3. Evaluation Methods

Last modified by William OGrady on 2024/04/08 22:22

From version 27.1
edited by Jean-Paul Smit
on 2024/03/21 16:57
Change comment: There is no comment for this version
To version 31.1
edited by William OGrady
on 2024/03/25 14:33
Change comment: There is no comment for this version

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1 -xwiki:XWiki.jeanpaulsmit
1 +xwiki:XWiki.WilliamOGrady
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3 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 PwD's attitude towards robots and the **autonomy, relatedness** and **competence**.
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5 -==== Study design claims ====
5 +==== ====
6 6  
7 +== //**Study design claims**// ==
8 +
7 7  The study will investigate the claims on the following questions:
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9 9  ~1. **Autonomy. **Does the design increase the sense of //autonomy //in a PwD?
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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?
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15 -4. **Recall**. Can the participant accurately retrieve information through the robot?
17 +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?
16 16  
17 -5. Memory self-efficacy.
19 +5. **Attitude towards Technology**. How do people think about using technology? Are they biased towards the robot before the study?
18 18  
19 19  
20 20  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.
XWiki.XWikiComments[1]
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1 +xwiki:XWiki.jeanpaulsmit
Comment
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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.
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1 +2024-03-21 17:03:29.591
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