Changes for page 3. Evaluation Methods
Last modified by William OGrady on 2024/04/08 22:22
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edited by Jean-Paul Smit
on 2024/03/26 11:51
on 2024/03/26 11:51
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... ... @@ -2,8 +2,10 @@ 2 2 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**. 4 4 5 -==== Studydesignclaims====5 +==== ==== 6 6 7 +== //**Study design claims**// == 8 + 7 7 The study will investigate the claims on the following questions: 8 8 9 9 ~1. **Autonomy. **Does the design increase the sense of //autonomy //in a PwD? ... ... @@ -12,9 +12,9 @@ 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?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. Memoryself-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. ... ... @@ -22,6 +22,6 @@ 22 22 [[image:Socio-Cognitive Engineering - Frame 1.jpg]] 23 23 24 24 25 -== References == 27 +== //**References**// == 26 26 27 27 [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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