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Titlebook: Applied Cognitive Science and Technology; Implications of Inte Sumitava Mukherjee,Varun Dutt,Narayanan Srinivasan Book 2023 The Editor(s) (

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https://doi.org/10.1007/978-981-19-2488-0oward AI algorithms like transparency, perception of algorithmic error, perceived understanding, risk levels, and uniqueness neglect. The later part highlights solutions that can attenuate aversion toward algorithms by communicating transparency of algorithmic processing, giving humans some control
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Sudipta Ramola,Dinesh Mohan,Toshiki Tsubotase for artificial agents, whose intelligence can be implemented independently of morphology. In this chapter, we will review the cognitive and behavioral effects of anthropomorphization such as prosocial behavior, empathy, and altruism, as well as changes in subjective experience that can occur when
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Amisha,Shubham Thakur,Amrinder Singhopportunity for matching the two. We argue that such matching cannot be performed algorithmically. If humans are to be responsible for the matching, this presupposes that models are equipped with understandable descriptions of their capabilities. Accordingly, we argue that model descriptions are a c
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https://doi.org/10.1007/978-3-662-58438-5ons and DNN features. Our results suggest that we can infer the selectivity of these regions for particular kinds of visual stimuli using DNN representations of the same stimuli as an intermediary. We also map features from the DNN to individual voxels in the brain regions, thus linking the DNN repr
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Conclusions and Recommendations, to the search-and-retrieve missions. The task requires an agent (whether human or model) to traverse an environment and gather target objects while sidestepping distractor objects. The results of the study exhibit that humans accomplished better in training scenarios, whereas model agents performed
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Study of Mechanical Properties,side of the user’s error-prone subjective judgment. We discuss what physiological variables can help determine user states and some examples of adaptive aids that can intervene in real-world tasks. Also, we review the concept of cognitive modeling based on physiological monitoring and describe how r
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