All, my name is Jaime Goldfarb, and while I have my doctorate in developmental psychology, with emphasis in both cognitive and social development. I have not worked in academia for decades, but that doesn't stop my brain from thinking about issues related to my past work. With that in mind, I was wondering if anyone has looked into, or is aware of research specific to two areas of research:
Methodologies Associated with the Study of Object Permanence: I am quite familiar with paradigms historically used to assess, but was wondering if the methodologies and findings have been updated. I specifically ask because experience has shown I believe the old methodologies can result in false positives. Here is my reasoning--I have also done some work in Signal Detection theory, and a personal experience led me to wonder if continuing to search for hidden objects is subject to the value of those objects. My personal experience is simple, and straightforward--I had occasion to withdraw a large sum of money from the bank, and as traveled home I found myself continually checking my pockets to ensure the money was still safely placed there. Now that might seem simple, but it seems to me the implications for how we study object permanence perhaps should be looked at in an extended period of time, with the value of the objects, and willingness to make false positive errors, varied to evaluate our behavior around the 'permanence' of said objects.
An Information Processing Model of the Relationship of Recall and Recognition: My dissertation focused on functional models of the creation of concepts, across item types, and developmental models; this question is semi-related to this work. I again will explain via personal experience--as I age I seem to have more 'tip-of-the-tongue' experiences, where I am having difficulty recalling specific words. When I have had the experience I will do a search based upon the meaning of the word I'm looking; now here is the interesting part (at least to me)--I have found, on numerous occasions, that I often recall the word prior to surveying the search results that come up--my interpretation has been that the mere act of engaging the search seems to functionally stimulate my neural networks, even if I do not see and 'recognize' the word through the search. To me this seems a very interesting question regarding the relationship of recall and recognition, but in memory processes in general. My thought is there are some very interesting research paradigms that can be built around this question, assuming of course they do not already exist.
That's it. My apologies if these are well research and understood processes, but thought I'd throw those questions out for any input. My thanks in advance for your consideration.
Regards. Jaime Goldfarb
"Crick and Dodge's social information processing model is a theoretically grounded model of social cognition that focuses specifically on the online mental processes that occur between the time an individual receives a social input and the time he or she provides a response. Since the turn of the century, the model had solidified itself as a leading social information processing model and its validity has been established in thousands of studies examining the antecedents and outcomes of the process. This entry describes the components of the model and provides a brief review of the empirical support it has received, as well as the limitations and challenges associated with the model and its assessment methods. Some suggestions for future considerations in social information processing research are also discussed."
Article Social Information Processing Model
"Object Permanence allows people to reason about the location of non-visible objects, by understanding that they continue to exist even when not perceived directly. Object Permanence is critical for building a model of the world, since objects in natural visual scenes dynamically occlude and contain each-other. Intensive studies in developmental psychology suggest that object permanence is a challenging task that is learned through extensive experience. Here we introduce the setup of learning Object Permanence from data. We explain why this learning problem should be dissected into four components, where objects are (1) visible, (2) occluded, (3) contained by another object and (4) carried by a containing object. The fourth subtask, where a target object is carried by a containing object, is particularly challenging because it requires a system to reason about a moving location of an invisible object. We then present a unified deep architecture that learns to predict object location under these four scenarios. We evaluate the architecture and system on a new dataset based on CATER, and find that it outperforms previous localization methods and various baselines."
Preprint Learning Object Permanence from Video
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