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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
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To version 37.1
edited by Jean-Paul Smit
on 2024/03/26 11:59
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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 -The study will investigate the claims on the following questions:
7 +== //**Study design variables**// ==
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9 -~1. **Autonomy. **Does the design increase the sense of //autonomy //in a PwD?
9 +The study will hypothesize on the following variables with regards to the system:
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11 -2. **Relatedness. **Does the design positively affect the PwD's //affective //state? Do PwDs //like// the system?
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13 -3. **Competence. **Is the design //dependable//; is the design accessible enough for the PwD to rely on it? Does it feel natural?
12 +1. **Autonomy. **Does the design increase the sense of //autonomy //in a PwD?
13 +1. **Relatedness. **Does the design positively affect the PwD's //affective //state?
14 +11. **Affect**. How do participants feel about using the robot in this state?
15 +11. **Attitude towards Technology**. How do people think about using technology? Are they biased towards the robot before the study?
16 +1. **Competence. **Is the design //competent//; is the design capable enough for the PwD to rely on it?
17 +11. **Memory self-efficacy **(pre-study) How good are participants at remembering information?
18 +11. **Memory recall **(post-study) Can the participant accurately retrieve information through the robot?
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20 +
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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.
22 +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.
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18 -[[image:Socio-Cognitive Engineering - Frame 1.jpg]]
24 +[[image:Socio-Cognitive Engineering - Frame 1(4).jpg]]
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20 20  
21 -== References ==
27 +== //**References**// ==
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23 23  [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
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XWiki.XWikiComments[1]
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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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