Evidence map

Navigation ux: what the evidence base looks like

8 publications, 0 of them trials and 0 syntheses. This page describes the shape of that literature rather than summarising its conclusions.

Updated 3 min read 8 citations

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What the evidence on navigation ux is made of Of 8 publications on this topic, the breakdown by study type: 8 other. 8other (8)
8 publications, by study type. Volume is not strength — the same count can be a settled question or a pile of commentary, and which one it is depends almost entirely on this breakdown. Harvested from PubMed and Crossref; publication type as recorded by the source.

What this literature is made of

A reasonable volume of literature, but weighted towards reviews and observational work rather than trials. That is enough to describe a phenomenon and rarely enough to establish that an intervention works.

The distinction that matters most is between synthesis and primary research. A meta-analysis pools trials and is the closest thing to a settled answer a field produces. A narrative review is one group's reading of the same material and can be selective without being dishonest. Counting them together, which most citation counts do, obscures exactly the thing you want to know.

When the navigation ux literature was published Publication years for the 8 papers on this topic, grouped into bands from before 2015 through to 2023 onwards. 2023 onwards3 papers2015-20193 papers2020-20221 papersBefore 20151 papers
Still active. The most recent paper here is from 2026, so this is a field where an answer written today may not hold for long. Publication years as recorded by PubMed and Crossref.

How this page is built

Everything above is computed from the citations this site harvested from PubMed and Crossref, not written by hand. When the weekly harvest finds a new paper on this topic, these counts change and the characterisation changes with them. That is the point: a hand-written claim about how strong an evidence base is starts decaying the day it is written.

Publication type is taken as the source records it. That is imperfect — journals label inconsistently, and a paper indexed as a "review" may be a systematic one — so treat the bands as approximate. They are accurate enough to distinguish a trial literature from a commentary literature, which is the distinction that matters.

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The strongest work on this topic

Ordered by study design first, then recency. The full set is listed in the references below.

  1. Correction algorithms of a navigation system and an autonomous inertial navigation system — Surkova A.D., Neusypin K.А., 2026, journal article
  2. Dynamic Trust Formation in AI ‐Enabled Automation: A Longitudinal Case Study of an Advanced Driver Assistance System — Koskinen K, Mallat N, Tuunainen V et al., 2026, journal article
  3. Toward Multimodal Seamless Navigation in Smart Cities: A Critical Review of Positioning, Navigation Data, Route Planning, and Guidance — Kim M, Kim M, Lee J, 2026, journal article
  4. Eye tracking in usability of electronic chart display and information system — Arslan O, Atik O, Kahraman S, 2020, journal article
  5. DRIVER PREFERENCE CONCERNING IN-CAR ROUTE GUIDANCE AND NAVIGATION SYSTEM MAPS FOR DRIVERS WITH COLOR VISION DEFICIENCY — Oliveira R, Pugliesi E, Ramos A et al., 2018, journal article
  6. EVALUATION OF USABILITY OF MAPS OF DIFFERENT SCALES PRESENTED IN AN IN-CAR ROUTE GUIDANCE AND NAVIGATION SYSTEM — Ramos A, Pugliesi E, Oliveira R et al., 2018, journal article
  7. PREFERENCE FOR MAP SCALE OF IN-CAR ROUTE GUIDANCE AND NAVIGATION SYSTEM — Ramos A, Decanini M, Pugliesi E et al., 2016, journal article
  8. Route guidance by a car navigation system based on augmented reality — Akaho K, Nakagawa T, Yamaguchi Y et al., 2012, journal article
How much research is there on navigation ux?
8 publications are indexed here, of which 0 are trials and 0 are syntheses.
Does more research mean a stronger conclusion?
No. Composition matters more than volume — five randomised trials support a claim far better than fifty commentaries, and citation counts do not distinguish between them.
How current is this?
The most recent paper indexed here is from 2026. The set is refreshed weekly from PubMed and Crossref.
Why does this page not tell me the answer?
Because summarising a literature into a conclusion requires reading it, and doing that automatically is how confident nonsense gets published. This page tells you how much weight a conclusion could bear; the articles on this site do the interpreting.

References

Every citation below links to the original peer-reviewed record on PubMed or via DOI. Nothing here is a substitute for medical advice.

  1. Dynamic Trust Formation in AI ‐Enabled Automation: A Longitudinal Case Study of an Advanced Driver Assistance System Koskinen K, Mallat N, Tuunainen V, et al. · Information Systems Journal · 2026 · Journal article DOI
  2. Toward Multimodal Seamless Navigation in Smart Cities: A Critical Review of Positioning, Navigation Data, Route Planning, and Guidance Kim M, Kim M, Lee J · ISPRS International Journal of Geo-Information · 2026 · Journal article DOI
  3. Correction algorithms of a navigation system and an autonomous inertial navigation system Surkova A.D., Neusypin K.А. · Automation Modern Techologies · 2026 · Journal article DOI
  4. Eye tracking in usability of electronic chart display and information system Arslan O, Atik O, Kahraman S · Journal of Navigation · 2020 · Journal article DOI
  5. DRIVER PREFERENCE CONCERNING IN-CAR ROUTE GUIDANCE AND NAVIGATION SYSTEM MAPS FOR DRIVERS WITH COLOR VISION DEFICIENCY Oliveira R, Pugliesi E, Ramos A, et al. · Boletim de Ciências Geodésicas · 2018 · Journal article DOI
  6. EVALUATION OF USABILITY OF MAPS OF DIFFERENT SCALES PRESENTED IN AN IN-CAR ROUTE GUIDANCE AND NAVIGATION SYSTEM Ramos A, Pugliesi E, Oliveira R, et al. · Boletim de Ciências Geodésicas · 2018 · Journal article DOI
  7. PREFERENCE FOR MAP SCALE OF IN-CAR ROUTE GUIDANCE AND NAVIGATION SYSTEM Ramos A, Decanini M, Pugliesi E, et al. · Boletim de Ciências Geodésicas · 2016 · Journal article DOI
  8. Route guidance by a car navigation system based on augmented reality Akaho K, Nakagawa T, Yamaguchi Y, et al. · Electrical Engineering in Japan · 2012 · Journal article DOI