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Category: schema

2018/10/18: Finalising analysis and design

What have I been doing all the time? It has been a while since the last post on this blog. The major reason for this is that I was busy preparing the next experiment (schemaVR3) and planning the next project. Conerning schemaVR3: Its aim is to corrobrate the evidence that recollection and familiarity are differently involved in the memory of advantage for unexpected and expected locations. Hopefully, I will be able to start collecting data for this experiment on the 29th of October. I selected five suitble sets for schemaVR3 (here) and made sure that spread of those sets is…

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2018/05/02: End of schemaVR1 and start of schemaVR2

Today, I finished the data collection for schemaVR1. I collected 17 instead of 16 participants because I wanted to show the experiment to someone who then agreed to formally take part in this experiment. The two major the results of this experiment are that the locations of objects that are generally unexpected in a kitchen are remembered better (measured by 3D location recall and 3AFC location recognition) than the locations of objects that are expected in a kitchen. This can already be seen in the interim analysis (N = 9) that I uploaded here. The second result, which was only…

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2018/04/12: Interim results and future plans

I am currently caught up with collecting data for my first experiment, which I will henceforth call schemaVR1, working on my first year report and analysing the interim results. I have collected data from eight participant so far and already got number of significant results. This is quite impressive considering that I also have only twenty stimuli/trials. I will upload the pre-processing script alongside a script analysing the interim results in the next days in a separate GitHub repository, where I will provide more details, but a very robust, and already significant, finding is that the locations of unexpected objects…

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2017/10/31: Counterbalancing

Trying to find pairs of objects to counterbalance expected versus unexpected locations. The first option, is to build pairs of relevant objects (e.g. knife – toaster) and think of three expected location for the first one that are unexpected for the second one. The problem here is that these are not the super expected locations and I would probably need to show in the normative studies that the expectancy is as hoped. The other option would be to find the most expected locations and try to counterbalancing some of them. I decided to ignore counterbalancing for the pilot study.

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2017/10/26: Lew & Howe (2016)

In Lew & Howe (2016), schema-relevancy was measured on a scale of 1 to 10 (very usual to very unusual). Low rating (below 3) were regarded as relevant and rating above 5 were regarded as irrelevant. Irrelevant objects therefore include neutral and unexpected objects. Reference Lew, A. R., & Howe, M. L. (2016). Out of Place, Out of Mind: Schema-Driven False Memory Effects for Object-Location Bindings. Journal of Experimental Psychology: Learning, Memory, and Cognition.

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