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

arXiv: https://arxiv.org/abs/2106.07553 · HTML: https://mlsanity.com/paper/2106.07553/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 19 references that are in the map.
- First posted on arXiv 2 Jun 2021.

## Builds on (most cited first, 3 of 3)

- [Analogy Mining for Specific Design Needs](https://mlsanity.com/paper/1712.06880/) (2017)
- [Don't Let Me Be Misunderstood: Comparing Intentions and Perceptions in Online Discussions](https://mlsanity.com/paper/2004.13609/) (2020)
- [Towards Ethical Content-Based Detection of Online Influence Campaigns](https://mlsanity.com/paper/1908.11030/) (2019)

## Abstract (arXiv)

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.