Evidence map›Paper›PMID 41600169›Full record

ArticleSensors (Basel, Switzerland)2026

A Waist-Mounted Interface for Mobile Viewpoint-Height Transformation Affecting Spatial Perception.

Jun Aoki, Hideki Kadone, Kenji Suzuki

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jun AokiEmpowerment Informatics Program, University of Tsukuba, Tsukuba 3058573, Japan.ORCID 0009-0008-8878-751X
Hideki KadoneDepartment of Cybernics Medicine, Institute of Medicine, University of Tsukuba, Tsukuba 3058575, Japan.ORCID 0000-0003-2953-6434
Kenji SuzukiInstitute of Systems and Information Engineering, University of Tsukuba, Tsukuba 3058573, Japan.ORCID 0000-0003-1736-5404

Funding

Japan Science and Technology Agency JPMJCR19A2Japan Science and Technology Agency JPMJSP2124
6 · The paper itself

Abstract

Visual information shapes spatial perception and body representation in human augmentation. However, the perceptual consequences of viewpoint-height changes produced by sensor-display geometry are not well understood. To address this gap, we developed an interface that maps a waist-mounted stereo fisheye camera to an eye-level viewpoint on a head-mounted display in real time. Geometric and timing calibration kept latency low enough to preserve a sense of agency and enable stable untethered walking. In a within-subject study comparing head- and waist-level viewpoints, participants approached adjustable gaps, rated passability confidence (1-7), and attempted passage when confident. We also recorded walking speed and assessed post-task body representation using a questionnaire. High gaps were judged passable and low gaps were not, irrespective of viewpoint. At the middle gap, confidence decreased with a head-level viewpoint and increased with a waist-level viewpoint, and walking speed decreased when a waist-level viewpoint was combined with a chest-height gap, consistent with added caution near the decision boundary. Body image reports most often indicated a lowered head position relative to the torso, consistent with visually driven rescaling rather than morphological change. These findings show that a waist-mounted interface for mobile viewpoint-height transformation can reliably shift spatial perception.

Indexed as

Space PerceptionAdultAugmented RealityFemaleHumansMaleUser-Computer InterfaceWalkingYoung Adultaugmented realityhuman augmentationhuman–computer interactionspatial perceptionviewpoint-height transformation

Identifiers

PMID41600169
PMCPMC12845937

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.