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Using smartphone technology to deliver a virtual pedestrian environment: usability and validation.

Virtual reality · 2017 · Unclear · Insufficient evidence

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UnclearInsufficient evidencePaper 2842

All participants followed instructions and used the smartphone-based virtual pedestrian environment without difficulty. No significant simulator sickness was reported or observed, and users rated the smartphone environment as highly realistic. Many aspects of…

Study snapshot

PublicationVirtual reality · 2017
Study typeother
Reported directionUnclear
Evidence ratingInsufficient

Abstract

Various programs effectively teach children to cross streets more safely, but all are labor- and cost-intensive. Recent developments in mobile phone technology offer opportunity to deliver virtual reality pedestrian environments to mobile smartphone platforms. Such an environment may offer a cost- and labor-effective strategy to teach children to cross streets safely. This study evaluated usability, feasibility, and validity of a smartphone-based virtual pedestrian environment. A total of 68 adults completed 12 virtual crossings within each of two virtual pedestrian environments, one delivered by smartphone and the other a semi-immersive kiosk virtual environment. Participants completed self-report measures of perceived realism and simulator sickness experienced in each virtual environment, plus self-reported demographic and personality characteristics. All participants followed system instructions and used the smartphone-based virtual environment without difficulty. No significant simulator sickness was reported or observed. Users rated the smartphone virtual environment as highly realistic. Convergent validity was detected, with many aspects of pedestrian behavior in the smartphone-based virtual environment matching behavior in the kiosk virtual environment. Anticipated correlations between personality and kiosk virtual reality pedestrian behavior emerged for the smartphone-based system. A smartphone-based virtual environment can be usable and valid. Future research should develop and evaluate such a training system.

Machine Enhanced Logic

AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typeother
Effect directionunclear
PopulationAdults
Sample size68
ExposureNot supplied
Evidence strengthInsufficientConfidence: 74% · Peer reviewed: yes

Main findings

All participants followed instructions and used the smartphone-based virtual pedestrian environment without difficulty. No significant simulator sickness was reported or observed, and users rated the smartphone environment as highly realistic. Many aspects of pedestrian behavior in the smartphone-based environment matched behavior in the kiosk virtual environment, supporting convergent validity; anticipated personality-behavior correlations also emerged for the smartphone-based system.

Outcomes measured

  • Usability
  • Feasibility
  • Validity (convergent validity vs kiosk virtual environment)
  • Perceived realism (self-report)
  • Simulator sickness (self-report/observed)
  • Pedestrian behavior in virtual environments
  • Correlations between personality characteristics and virtual pedestrian behavior
View raw extracted JSON
{
  "study_type": "other",
  "exposure": {
    "band": null,
    "source": "mobile phone (smartphone-based virtual environment)",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": "Adults",
  "sample_size": 68,
  "outcomes": [
    "Usability",
    "Feasibility",
    "Validity (convergent validity vs kiosk virtual environment)",
    "Perceived realism (self-report)",
    "Simulator sickness (self-report/observed)",
    "Pedestrian behavior in virtual environments",
    "Correlations between personality characteristics and virtual pedestrian behavior"
  ],
  "main_findings": "All participants followed instructions and used the smartphone-based virtual pedestrian environment without difficulty. No significant simulator sickness was reported or observed, and users rated the smartphone environment as highly realistic. Many aspects of pedestrian behavior in the smartphone-based environment matched behavior in the kiosk virtual environment, supporting convergent validity; anticipated personality-behavior correlations also emerged for the smartphone-based system.",
  "effect_direction": "unclear",
  "limitations": [],
  "evidence_strength": "insufficient",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "smartphone",
    "mobile phone technology",
    "virtual reality",
    "virtual pedestrian environment",
    "usability",
    "feasibility",
    "validation",
    "simulator sickness",
    "perceived realism",
    "pedestrian safety training"
  ],
  "suggested_hubs": []
}
AI can be wrong. Always verify against the paper.

AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.1007/s10055-016-0304-x
PubMed: 29531502

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