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For more than four decades, researchers have used meta‐analyses to synthesize data from multiple experimental studies often to draw conclusions that are not supported by individual studies. More recently, single‐case experimental design (SCED) researchers have adopted meta‐analysis techniques to answer research questions with data gleaned from SCED experiments. Meta‐analyses enable researchers to answer questions regarding intervention efficacy, generality, and condition boundaries. Here we discuss meta‐analysis techniques, the rationale for their adaptation with SCED studies, and current indices used to quantify the effect of SCED data in applied behavior analysis.
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Using Augmented Reality to Better Study Human-Robot Interaction
In the field of Human-Robot Interaction, researchers often techniques such as the Wizard-of-Oz paradigms in order to better study narrow scientific questions while carefully controlling robots’ capabilities unrelated to those questions, especially when those other capabilities are not yet easy to automate. However, those techniques often impose limitations on the type of collaborative tasks that can be used, and the perceived realism of those tasks and the task context. In this paper, we discuss how Augmented Reality can be used to address these concerns while increasing researchers’ level of experimental control, and discuss both advantages and disadvantages of this approach
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- Award ID(s):
- 1909864
- PAR ID:
- 10155297
- Date Published:
- Journal Name:
- HCII Conference on Virtual, Augmented, and Mixed Reality
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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