Guidelines
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Use restrained personalization that keeps attention on the data

For engagement-focused reading, use restrained personalization on maps with geospatial content to improve insight and mitigate distraction from the data for viewers who may have strong ties to familiar places.

  • purpose:refine
  • basis:rhetorical
  • chart:map
  • data:geospatial
  • quality:insight
  • lever:interaction-access
  • communication:resonance

advice

Limit personalized access points

Use personalized or localized access points only when they add relevance without becoming the main message. For example, on a map, offer place-based content for familiar locations, but keep that personalized access secondary to the mapped pattern.

reason

Why restrained personalization helps

Personal relevance can draw viewers into a visualization when they recognize a place, but too much emphasis on that connection can pull attention away from the data itself.

Mechanism: Light personalization gives viewers an entry point into the display, while restrained emphasis helps them stay focused on the underlying pattern rather than on their own connection to a place.

Evidence: Viewers were more engaged with crisis maps when content related to familiar places and were frustrated by unfamiliar regions, but strong personal identification sometimes distracted them from the data; personalization improved relevance without benefiting every audience equally (Koesten et al., 2025).

Notes: Personalized or interactive features are not equally inviting or easy to use for all viewers.

context

Use when familiar places can support engagement

  • User Goal: Increase engagement without losing focus on the data.
  • Data: Geospatial content where some places are likely to be familiar and personally meaningful.
  • Chart Setting: A map that includes personalized, localized, or interactive access to place-based content.
  • Audience: Viewers who are likely to recognize or care about specific places.
  • Success Criterion: Viewers remain engaged and can still describe the mapped data rather than only their personal connection to a place.

exceptions

Do not use when personalization takes over

  • Break it when: Personal identification with one place is likely to dominate the viewing experience. Why: The familiar place becomes the focus instead of the data.
  • Break it when: The audience is unlikely to find personalized or interactive features inviting or easy to use. Why: The added feature creates friction instead of relevance.

costs

Costs of restrained personalization

Sacrifice: You give up some of the emotional pull that stronger personalization might create. Risk: Even limited personalization can still draw attention toward one familiar place. Mitigation: Keep the personalized element secondary to the main data view.

mistakes

Common personalization mistakes

  • Mistake: Making the familiar place the main focus of the display. Why it fails: Viewers may engage with the place itself and miss the data.
  • Mistake: Assuming personalized or interactive features will help every audience. Why it fails: Some viewers do not find those features inviting or easy to use.

check

Check whether personalization is overpowering the data

Failure Sign: Viewers talk mainly about the place they know rather than the data shown there. Quick Check: Ask viewers what they noticed first and what the visualization says overall. Stronger Test: Compare reactions with and without the personalized or localized feature, and keep it only if engagement rises without reducing attention to the data.

fix

Fix an overpersonalized map

  • Reduce the prominence of the personalized or localized element so the data remains the main focus.
  • Recast familiar-place content as an entry point rather than the main message.
  • Remove or simplify the personalized or interactive feature for audience groups that do not welcome or easily use it.

References

Koesten, L., Saske, A., Starchenko, S. M., & Gregory, K. (2025). Encountering Friction, Understanding Crises: How Do Digital Natives Make Sense of Crisis Maps? Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1–15. https://doi.org/10.1145/3706598.3713520