Understanding Concept Maps: A Closer Look at How People Organise Ideas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Research into creating visualisations that organise ideas into concise concept maps often focuses on implicit mathematical and statistical theories which are built around algorithmic efficacy or visual complexity. Although there are multiple techniques which attempt to mathematically optimise this multi-dimensional problem, it is still unknown how to create concept maps that are immediately understandable to people. In this paper, we present an in-depth qualitative study observing the behaviour and discussing the strategy used by non-expert participants to create, interact, update and communicate a concept map that represents a collection of research ideas. Our results show non-expert individuals create concept maps differently to visualisation algorithms. We found that our participants prioritised narrative, landmarks, abstraction, clarity, and simplicity. Finally, we derive design recommendations from our results which we hope will inspire future algorithms that automatically create more usable and compelling concepts maps better suited to the natural behaviours and needs of users.
Original languageEnglish
Title of host publicationProceedings of the 2017 CHI Conference on Human Factors in Computing Systems
PublisherACM
Pages815-827
Number of pages13
ISBN (Print)9781450346559
DOIs
Publication statusPublished - 2 May 2017
Event2017 CHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire - Colorado Convention Center, Denver, United States
Duration: 6 May 201711 May 2017
Conference number: 35
https://chi2017.acm.org/

Conference

Conference2017 CHI Conference on Human Factors in Computing Systems
Abbreviated titleACM CHI 2017
CountryUnited States
CityDenver
Period6/05/1711/05/17
Internet address

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Keywords

  • Design
  • interfaces
  • information
  • visualisation
  • behaviour
  • human
  • interaction
  • mapping
  • knowledge
  • organisation

Cite this

Padilla, S., Methven, T., Robb, D., & Chantler, M. J. (2017). Understanding Concept Maps: A Closer Look at How People Organise Ideas. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (pp. 815-827). ACM. https://doi.org/10.1145/3025453.3025977
Padilla, Stefano ; Methven, Thomas ; Robb, David ; Chantler, Michael John. / Understanding Concept Maps: A Closer Look at How People Organise Ideas. Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 2017. pp. 815-827
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Padilla, S, Methven, T, Robb, D & Chantler, MJ 2017, Understanding Concept Maps: A Closer Look at How People Organise Ideas. in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, pp. 815-827, 2017 CHI Conference on Human Factors in Computing Systems, Denver, United States, 6/05/17. https://doi.org/10.1145/3025453.3025977

Understanding Concept Maps: A Closer Look at How People Organise Ideas. / Padilla, Stefano; Methven, Thomas; Robb, David; Chantler, Michael John.

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 2017. p. 815-827.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Padilla S, Methven T, Robb D, Chantler MJ. Understanding Concept Maps: A Closer Look at How People Organise Ideas. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM. 2017. p. 815-827 https://doi.org/10.1145/3025453.3025977