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Changes for page 3. Evaluation Methods

Last modified by William OGrady on 2024/04/08 22:22
From version 24.1
edited by Rixt Hellinga
on 2024/03/19 14:51
Change comment: There is no comment for this version
To version 35.1
edited by Jean-Paul Smit
on 2024/03/26 11:43
Change comment: There is no comment for this version

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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 +==== ====
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7 +== //**Study design claims**// ==
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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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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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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?
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19 +5. **Attitude towards Technology**. How do people think about using technology? Are they biased towards the robot before the study?
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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.
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18 18  [[image:Socio-Cognitive Engineering - Frame 1.jpg]]
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20 -/
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27 +== //**References**// ==
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23 -== References ==
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25 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
Socio-Cognitive Engineering - Frame 1(2).jpg
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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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