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

TL;DR

This paper explores how insights from cognitive science, especially analogical reasoning, can inform the design of meaningful, human-centered digital experiences and technologies.

Contribution

It reviews literature across cognitive science, HCI, and NLP to propose how analogical reasoning can enhance technology design and user experience.

Findings

AR can improve communication and learning technologies

Schemas facilitate analogical reasoning in design processes

Recommendations for integrating AR in future computing applications

Abstract

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.