Cited by 9Usability and User Interface DesignData Visualization and AnalyticsDesign Education and Practice

MixedNotes: a digital tool to prepare physical notes for affinity diagramming

Jokela, Tero, Lucero, Andrés·2014·Proceedings of the 18th International Academic MindTrek Conference: Media Business, Management, Content & Services

Abstract

Affinity Diagramming is a technique to organize and make sense of qualitative data. It is commonly used in Contextual Design and HCI research. However, preparing notes for and building an Affinity Diagram remains a laborious process, with a wide variety of different approaches and practices. In this paper, we present MixedNotes, a novel technique to prepare physical paper notes for Affinity Diagramming, and a software tool to support this technique. The technique has been tested with large real-life Affinity Diagrams with overall positive results.

Integrity signals

Registry

Crossref · 10.1145/2676467.2676478

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The qualitative analysis used inductive coding, affinity diagramming, and a peer debriefing process in which a second researcher analyzed two transcripts and discrepancies were resolved to reach a final code book.

    “For qualitative analysis, we applied inductive coding [14] to identify themes in participants' open-ended responses. As part of this process, we used affinity diagramming [35] to organize insights and develop inductive codes from transcript data. One researcher conducted an initial round of coding, followed by a peer debriefing process [75] in which another researcher used the code book to analyze”

Cited by

Sorted by citations

Authors
Jokela, T., & Lucero, A.
Affiliations
  • Nokia (Finland) (FI)
  • Nokia Research Center, FL, Tampere, Finland and University of Southern Denmark, Kolding, Denmark
Venue
Proceedings of the 18th International Academic MindTrek Conference: Media Business, Management, Content & Services
Publisher
ACM
Published
2014-11-04
Pages
3-6
OpenAlex
W2013080173
Cited by
9
References
0
Citations by year
2025: 3 · 2024: 2 · 2023: 1 · 2022: 1 · 2021: 1 · 2015: 1
FWCI
0.26
Type
conference paper
Language
en
Open access
closed
Locations
  • International Academic Mindtrek Conference (Mindtrek) (publishedVersion)
  • University of Southern Denmark Research Portal (University of Southern Denmark) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
  • Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
Keywords
affinity diagramming, software tools, contextual design, human-computer interaction research

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review