Calculating Cognitive Augmentation - A Case Study

@inproceedings{Fulbright2019CalculatingCA,
  title={Calculating Cognitive Augmentation - A Case Study},
  author={Ron Fulbright},
  booktitle={Interacci{\'o}n},
  year={2019},
  url={https://api.semanticscholar.org/CorpusID:195891648}
}
Cognitive accuracy and cognitive precision are proposed as standard metrics to describe and measure human cognitive augmentation in the coming era of cognitive systems.
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4 Citations

On the Augmentation of Cognitive Accuracy and Cognitive Precision in Human/Cog Ensembles

Both cognitive accuracy and cognitive precision are shown to be increased by information of different types (policies and rules, examples, and suggestions) and with different kinds of problems (inventive problem solving and puzzles).

The Effect of Information Type on Human Cognitive Augmentation

The degree of cognitive augmentation depends on the nature of the information the cog contributes to the ensemble, showing conceptual information is the most effective type of information resulting in increases in cognitive accuracy, cognitive precision, and cognitive power.

Does Using ChatGPT Result in Human Cognitive Augmentation?

Using ChatGPT does not always result in cognitive augmentation and does not yet replace human judgement, discernment, and evaluation in certain types of tasks, in fact, ChatGPT was observed to result in misleading users resulting in negative cognitive augmentation.

Synthetic Expertise

The nature of expertise, the Expertise Level to describe the skills required of an expert, and knowledge stores required by an expert are reviewed and six Levels of Cognitive Augmentation are introduced to describes the balance of cognitive processing in the human/cog ensemble.

50 References

Cognitive Augmentation Metrics Using Representational Information Theory

A metric called the augmentation factor is proposed to indicate the level to which a human is augmented by working with one or more cognitive systems, and several other metrics such as cognitive gain, work, power, density, and efficiency are proposed to analyze a cognitively augmented human.

On Measuring Cognition and Cognitive Augmentation

Several existing and emerging information metrics based on entropy, processing effort, quantum physics, emergent capacity, and human concept learning are reviewed and reviewed to discuss how these fail to answer the above questions and provide guidelines for future research.

Companion Cognitive Systems: A Step towards Human-Level AI

The ideas the team is using to develop the first architecture for Companions are analogical processing, grounded in cognitive science for reasoning and learning, sketching and concept maps to improve interactivity, and a distributed agent architecture hosted on a cluster to achieve performance and longevity.

Three Challenges for Research on Integrated Cognitive Systems

This essay describes the overall challenge problem, subtasks on which researchers can make independent progress, graded versions of the problem that would enable incremental improvement, and methods for evaluating the resulting cognitive systems.

Smart Machines: IBM’s Watson and the Era of Cognitive Computing

Smart Machines introduces the fascinating world of "cognitive systems" to general audiences and provides a window into the future of computing to inspire governments, academics, and the global tech industry to work together to power this exciting wave in innovation.

Augmenting human intellect: a conceptual framework

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Augmented Cognition. Enhancing Cognition and Behavior in Complex Human Environments

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Augmenting human intellect: a conceptual framework

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Building Watson: An Overview of the DeepQA Project

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Humans and Autonomy: Implications of Shared Decision Making for Military Operations

Empirical results related to shared decision-making in the context of military applications including outcomes from research on intelligent agents, control of multiple unmanned systems, trust and transparency, cognitive architectures, natural language processing, and bi-directional interfaces are discussed.