Cited by 54Human-Automation Interaction and SafetySpatial Cognition and NavigationTraffic and Road Safety

The Effects of Acoustic Turn-by-turn Navigation on Wayfinding

Fenech, Elliot P., Drews, Frank A., Bakdash, Jonathan Z.·2010·Proceedings of the Human Factors and Ergonomics Society Annual Meeting

Abstract

This study examined the impact of using an acoustic turn-by-turn navigation device on wayfinding. Participants used a driving simulator to traverse the same route twice. They either traveled both times without the guidance or used a turn-by-turn navigation on the first drive and then replicating the route from memory on the second drive. Wayfinding performance was assessed by using route travel time and an assessment of scene recognition Results show that using a turn-by-turn navigation system negates route learning and impairs scene recognition. These findings suggest that using a navigation system while driving creates inattention blindness, a failure to “see” elements in the environment.

Integrity signals

Registry

Crossref · 10.1177/154193121005402305

Cites

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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?

  • Potential negative effects following extensive use of cognitive tools have been discussed, such as impaired scene recognition after using navigation systems.

    “potential negative effects following their extensive use have been discussed for cognitive tools (e.g., impaired scene recognition after using navigation systems; Fenech et al., 2010).”

    From Consequences of cognitive offloading: Boosting performance but diminishing memory (2021) · cites this paper as Fenech et al., 2010

  • Frequent externalisation of internal cognitive processes leads to an impoverishment of the corresponding internal abilities.

    “a common concern states that frequent externalisation of internal cognitive processes leads to an impoverishment of the corresponding internal abilities. This concern has received empirical support from findings on spatial memory (e.g., Fenech et al., 2010; Gardony et al., 2015), problem solving (Moritz et al., 2018, 2020; O’Hara & Payne, 1998; Van Nimwegen & Van Oostendorp, 2009), as well as the”

    From Consequences of cognitive offloading: Boosting performance but diminishing memory (2021) · cites this paper as Fenech et al., 2010

The citation lists haven’t been fetched yet

References 20 · Cited by 54

Authors
Fenech, E. P., Drews, F. A., & Bakdash, J. Z.
Affiliations
University of Utah (US)
Venue
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2010-09
Volume
54
Issue
23
Pages
1926-1930
ISSN
  • 0163-5182 (ISSN-L)
  • 1071-1813
  • 2169-5067
OpenAlex
W2051276428
Cited by
54
References
20
Citations by year
2026: 6 · 2025: 3 · 2024: 4 · 2023: 4 · 2022: 7 · 2021: 7 · 2020: 5 · 2019: 5 · 2018: 2 · 2016: 1 · 2015: 2 · 2014: 2 · 2013: 3 · 2012: 3
FWCI
2.62
Type
journal article
Language
en
Open access
closed
Locations
Proceedings of the Human Factors and Ergonomics Society Annual Meeting (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
  • Physical Sciences › Engineering › Automotive Engineering › Spatial Cognition and Navigation
  • Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
Keywords
turn-by-turn navigation, wayfinding, route learning, scene classification, driving simulator, route memory

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