The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.
How Navigational Aids Impair Spatial Memory: Evidence for Divided Attention
Abstract
Research has demonstrated navigational aids impair spatial memory, but has not considered important spatial cognitive concepts. For example, impairment may stem from spatial perspective switches between route-based aids and survey-based memory assessments. Further, the verbal format of aid instructions may selectively interfere with verbal working memory (VWM). To address these potential explanations, participants navigated desktop virtual environments in a goal-directed manner. In each within-participants condition, participants either navigated with a verbal or tonal aid that presented mixed spatial perspective instructions or without aid. Both aids yielded slight navigational advantages and steep spatial memory costs despite their mixed perspective instructions. The equivalent impairment between information formats suggests navigational aids impair spatial memory by dividing attention rather than selective interference of VWM.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Put simply, looking at irrelevant information is associated with poorer spatial knowledge development, whilst engagement with relevant information is better for spatial learning (Chrastil & Warren, 2012; Gardony et al., 2013, 2015; Hejtmánek et al., 2018; Willis et al., 2009).”
From The influence of landmark visualization style on task performance, visual attention, and spatial learning in a real-world navigation task (2024) · cites this paper as Gardony et al., 2013
In the citing paper
“This result aligns with previous studies, showing that guiding attention to the environment and task-relevant landmarks strengthens the encoding of these features and supports spatial memory formations (Gardony et al., 2013, 2015; Hejtmánek et al., 2018; Willis et al., 2009).”
From The influence of landmark visualization style on task performance, visual attention, and spatial learning in a real-world navigation task (2024) · cites this paper as Gardony et al., 2013
Citations
Cites
The Psychology of Learning and Motivation: Advances in Research and Theory
(2010) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/c2009-0-62209-1 · Cited by 6,035
Psychology of Learning and Motivation
Bower, G. H. (1975) · Cited by 1,839
The Development of Spatial Representations of Large-Scale Environments
Siegel, A. W., & White, S. H. (1975) · Advances in Child Development and Behavior · doi:10.1016/s0065-2407(08)60007-5 · Cited by 1,830
Working Memory: The Multiple-Component Model
Baddeley, A. D., & Logie, R. H. (1999) · Models of Working Memory · doi:10.1017/cbo9781139174909.005 · Cited by 1,374 · cited 1×
“According to Baddeley’s working memory model (Baddeley, 2002; Baddeley & Hitch, 1974; Baddeley & Logie, 1999), working memory is made up of several specialized components, including an auditory-verbal component, the phonological loop, and a visuospatial component, the visuospatial sketchpad.”
Overlapping mechanisms of attention and spatial working memory
Awh, E., & Jonides, J. (2001) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01593-x · Cited by 1,229
Differences in spatial knowledge acquired from maps and navigation
Thorndyke, P. W., & Hayes‐Roth, B. (1982) · Cognitive Psychology · doi:10.1016/0010-0285(82)90019-6 · Cited by 1,170
An Extension of Box's Results on the Use of the $F$ Distribution in Multivariate Analysis
Geisser, S., & Greenhouse, S. W. (1958) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177706545 · Cited by 1,098
Development of a self-report measure of environmental spatial ability
Hegarty, M. (2002) · Intelligence · doi:10.1016/s0160-2896(02)00116-2 · Cited by 1,023
Journal of the Audio Engineering Society
(2021) · Journal of the Audio Engineering Society · doi:10.17743/jaes · Cited by 946
Algazi, V. R., Duda, R. O., Thompson, D. M., & Avendano, C. (2002) · Proceedings of the 2001 IEEE Workshop on the Applications of Signal Processing to Audio and Acoustics (Cat. No.01TH8575) · doi:10.1109/aspaa.2001.969552 · Cited by 926
Flagged first, then by citations
Research works printed but not linked: 10
- AT&T, 2011, AT&T natural voices® text-to-speech demo
- Baddeley A. D., 1980, Attention and performance, vol. 8, 521
- Bakdash J. Z., 2010, Guided navigation impairs spatial knowledge: Using aids to improve spatial representations.
- Burnett G. E., 2000, Vehicle Electronic Systems 2000 European Conference and Exhibition
- Dewar R., 1988, International Journal of Vehicle Design, 9, 557
- Forbes, N. and Burnett, G. Investigating the contexts in which in-vehicle navigation system users have received and followed inaccurate route guidance instructions. Proceedings of the Third International Conference in Driver Behaviour and Training. Dublin, Ireland.
- James R., 2009, Time
- Pazzaglia F., 2001, European Journal of Cognitive Psychology, 13, 493, 10.1080/09541440125778 · DOI
- RNCOS, 2011, World GPS market forecast to 2013
- Warusfel O., 2003, Listen HRTF database
Cited by
Sorted by citations
Items 101–145 of 145
How Humanity Has Always Feared Change: Are You Afraid of Artificial Intelligence?
Véras, M. M. S. (2025) · Cureus · doi:10.7759/cureus.83602 · Cited by 3
Feedback and Direction Sources Influence Navigation Decision Making on Experienced Routes
Li, Y., Li, W., Yang, Y., & Wang, Q. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02104 · Cited by 3
Teimouri, F., & Richter, K. (2024) · Behaviour and Information Technology · doi:10.1080/0144929x.2024.2308754 · Cited by 3
Motoric engagement, but not decision-making, during encoding influences route memory
Sivashankar, Y., He, P., Sauzeon, H., & Fernandes, M. A. (2024) · Spatial Cognition and Computation · doi:10.1080/13875868.2024.2359929 · Cited by 3
Incorporating directional signs into indoor navigation systems
Wang, W., Huang, H., Lyu, H., & Gärtner, G. (2019) · Abstracts of the ICA · doi:10.5194/ica-abs-1-394-2019 · Cited by 3
Trentesaux, D., Rault, R., Caillaud, E., & Huftier, A. (2021) · Studies in computational intelligence · doi:10.1007/978-3-030-69373-2_17 · Cited by 3
Zaman, F., Roeca, G., Lupascu, I., Gardony, A. L., Ma, N., Rife, J. H., & Intriligator, J. M. (2021) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181321651183 · Cited by 3
Self-citationLandmark-Based Turn-by-Turn Instructions Enhance Incidental Spatial Knowledge AcquisitionPreprint
Wunderlich, A., Grieger, S., & Gramann, K. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.30.403428 · Cited by 3
The Influence of Augmented Reality Navigation on Human Perception: An In-depth Investigation
Moustafa, M. N., Ashour, S. S., & Bakir, R. (2024) · Civil Engineering and Architecture · doi:10.13189/cea.2024.120337 · Cited by 2
How to Help Older Adults Navigate Through VR? Effects in Outdoor–Indoor Transition Environments
Zuo, Y., & Zhou, J. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2405276 · Cited by 3
Individual differences in spatial navigation: A multi-scale perspective
ZHANG, F., Meixuan, C. H. E. N., Pu, Y., & Kong, X. (2023) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2023.01642 · Cited by 2
Zhang, X., & Iwaki, S. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-60458-4_17 · Cited by 1
The necessity of motoric engagement in enhancing route memory
Sivashankar, Y., He, P., Tsapoitis, P., Skorski, E., & Fernandes, M. A. (2025) · British Journal of Psychology · doi:10.1111/bjop.70007 · Cited by 1
Ozubko, J. D., Campbell, M., Verhayden, A., Demetri, B., Boyer, M., Sivashankar, Y., & Brunec, I. K. (2026) · Hippocampus · doi:10.1002/hipo.70063 · Cited by 1
‘Straight? What straight?’Investigating navigation instructions’applicability
Teimouri, F., & Richter, K. (2021) · Journal of Location Based Services · doi:10.1080/17489725.2021.2014582 · Cited by 1
Pedestrian Mobility Contexts of People with Intellectual Disabilities: The Role of Personalization
Pacini, L., Lepreux, S., & Kolski, C. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-35908-8_20 · Cited by 1
Social Cognition Is Grounded in Physical Reality
Cecutti, L., & Lee, S. W. S. (2024) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780197763414.013.10 · Cited by 1
Can indoor navigation service incorporating signs support spatial learning?
Wang, W., Huang, H., & Gärtner, G. (2021) · Abstracts of the ICA · doi:10.5194/ica-abs-3-312-2021 · Cited by 1
Designing mobile spatial navigation systems from the user's perspective: An interdisciplinary reviewPreprint
Ruginski, I. T., Giudice, N. A., Creem-Regehr, S. H., & Ishikawa, T. (2022) · doi:10.31219/osf.io/e934d · Cited by 1
A picture or a thousand words: Neither improve spatial knowledge of a complex virtual environmentPreprint
Jaeger, A. J., Weisberg, S. M., Nazareth, A., & Newcombe, N. S. (2022) · doi:10.31234/osf.io/7grxy · Cited by 1
Ozubko, J. D., Campbell, M., Verhayden, A., Demetri, B., Brady, M., Sivashankar, Y., & Brunec, I. K. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.27.587026 · Cited by 1
Zhang, X., & Iwaki, S. (2025) · Research Square · doi:10.21203/rs.3.rs-6491443/v1 · Cited by 1
Bidimensional regression: Issues with Interpolation
Thrash, T., Giannopoulos, I., & Schinazi, V. R. (2014) · eScholarship (California Digital Library)
Vision based pointing error estimation for mobile eye-tracking system
Rao, S. P., Wan, Q., Panetta, K. A., Agaian, S. С., Kaszowska, A., & Taylor, H. A. (2019) · Mobile Multimedia/Image Processing, Security, and Applications · doi:10.1117/12.2519259
Self-citationBiele, C. (2021) · Studies in computational intelligence · doi:10.1007/978-3-030-90004-5_8
Denis, M. (2016) · Mardaga eBooks · doi:10.3917/mard.denis.2016.01.0279
Walters, J. S. (2023) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/21695067231192545
Ishikawa, T. (2024) · Springer eBooks · doi:10.1007/978-3-031-25900-5_117-1
Visual variables on mobile devices : an empirical study of their roles in gaining spatial awareness
Kim, A. D. (2018) · Scholars Archive - University at Albany (University at Albany, State University of New York) · doi:10.54014/hn76-p5gm
Fisher, N., & Kulshreshth, A. K. (2025) · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR · doi:10.1109/ismar67309.2025.00104
Jaeger, A. J., Weisberg, S. M., Nazareth, A., & Newcombe, N. S. (2024) · Figshare · doi:10.6084/m9.figshare.26606590
Topete, A., He, C., Protzko, J., Schooler, J., & Hegarty, M. (2024) · Figshare · doi:10.6084/m9.figshare.26695578
Ishikawa, T. (2025) · Springer eBooks · doi:10.1007/978-3-031-92524-5_117
Get the unbalance right: asymmetric transfer effects in cognitive offloading
Florean, I., Stragà, M., Mäntylä, T., & Missier, F. D. (2026) · Cognitive Research Principles and Implications · doi:10.1186/s41235-026-00722-0
Being Where? Putting Memory, Technology, and Wayfinding Together Again
Mingon, M., Gillett, A. J., & Sutton, J. D. (2026) · Review of Philosophy and Psychology · doi:10.1007/s13164-026-00816-0
Rhim, J., & Lee, J.-I. (2026) · IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) · doi:10.1109/vrw70859.2026.00058
Sowada, T., Kotus, J., & Ewertowski, W. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6967757
Mercer, T. (2026) · Springer eBooks · doi:10.1007/978-3-031-52643-5_291-1
Navigating Urban Landscape: Role of Different Types of Instructions
Kumari, P., Tiwari, M. K., Pathak, S., Kumar, V., & Pandey, R. P. (2026) · Journal of Contemporary Behavioural and Social Research · doi:10.4103/jcbsr.jcbsr_58_25
Tong, M., Cui, L., Zhu, S., Zhang, X., & Liu, H. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2703334
One mobile map does not fit everyone: a research agenda for responsibly adapting mobile maps for all
Reichenbacher, T., Bartling, M., Kapaj, A., Zingaro, D., Kiefer, P., Ishikawa, T., Griffin, A. L., Resch, B., & Fabrikant, S. I. (2026) · Cartography and Geographic Information Science · doi:10.1080/15230406.2026.2710916
Metadata
- Authors
- Gardony, A. L., Brunyé, T. T., Mahoney, C. R., & Taylor, H. A.
- Affiliations
- Tufts University (US)
- Venue
- Spatial Cognition & Computation
- Publisher
- Informa UK Limited
- Published
- 2013-09-27
- Volume
- 13
- Issue
- 4
- Pages
- 319-350
- ISSN
- 1387-5868 (ISSN-L)
- 1542-7633
- OpenAlex
- W2062462692
- Cited by
- 145
- References
- 90
- Citations by year
- 2026: 10 · 2025: 13 · 2024: 18 · 2023: 19 · 2022: 20 · 2021: 21 · 2020: 13 · 2019: 8 · 2018: 4 · 2017: 5 · 2016: 7 · 2015: 3 · 2014: 3 · 2013: 1
- FWCI
- 7.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Spatial Cognition and Computation (publishedVersion)
- Funders
- U.S. Department of Energy
- Oak Ridge Institute for Science and Education
- U.S. Army Natick Soldier Research, Development and Engineering Center
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Spatial Cognition and Navigation
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- navigation aids, spatial memory, divided attention, verbal working memory, spatial perspective, virtual worlds, goal-directed navigation
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