AICYHCJun 2, 2021

A Cognitive Science perspective for learning how to design meaningful user experiences and human-centered technology

arXiv:2106.07553v12 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental review that addresses the problem of designing meaningful user experiences and human-centered technology for developers and researchers in computing fields.

The paper reviews cognitive science, HCI, and NLP literature to explore how analogical reasoning can inform the design of communication technologies, learning tools, online communities, and digital platforms, offering recommendations for future work in computing sciences.

This paper reviews literature in cognitive science, human-computer interaction (HCI) and natural-language processing (NLP) to consider how analogical reasoning (AR) could help inform the design of communication and learning technologies, as well as online communities and digital platforms. First, analogical reasoning (AR) is defined, and use-cases of AR in the computing sciences are presented. The concept of schema is introduced, along with use-cases in computing. Finally, recommendations are offered for future work on using analogical reasoning and schema methods in the computing sciences.

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