Evidence map›Paper›PMID 31241349›Full record

ArticleCyberpsychology, behavior and social networking2019

Path Tortuosity in Virtual Reality: A Novel Approach for Quantifying Behavioral Process in a Food Choice Context.

Haley E Yaremych, William D Kistler, Niraj Trivedi, Susan Persky

Abstract read
In one paragraph

Article in Cyberpsychology, behavior and social networking, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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

4 authors.

Haley E YaremychSocial & Behavioral Research Branch, National Human Genome Research Institute, Bethesda, Maryland.
William D KistlerSocial & Behavioral Research Branch, National Human Genome Research Institute, Bethesda, Maryland.
Niraj TrivediSocial & Behavioral Research Branch, National Human Genome Research Institute, Bethesda, Maryland.
Susan PerskySocial & Behavioral Research Branch, National Human Genome Research Institute, Bethesda, Maryland.

Funding

Immersive Virtual Environment Testing AreaZIDHG200384 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI PERSKY, SUSAN · 2012 to 2025
$7.1M
Eating and Feeding Behavior: Exploring Phenotypes and Influencing OutcomesZIAHG200396 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI PERSKY, SUSAN · 2015 to 2025
$2.4M
6 · The paper itself

Abstract

There is a pressing need to better understand how parents make feeding decisions for their children, but extant measures focus primarily on outcomes rather than examining the process of food choice as it unfolds. This exploratory study examined parents' translational movement as they moved throughout a virtual reality-based buffet restaurant to select a lunch for their child. Our aim was to explore whether translational movement would be related to cognitive and affective variables that underlie motivation, effort, and ultimate choices within food decision-making contexts (e.g., guilt, self-efficacy). Movement data were quantified in terms of path tortuosity: the degree of straightness of one's path while traveling through a space. Greater path tortuosity predicted a reduction in parents' guilt about their child feeding, above and beyond actual food chosen. Results suggest path tortuosity serves as an implicit measure of effort put forth by parents throughout the food decision-making process. Future work should continue to explore the utility of novel metrics that can be obtained from unique data sources, such as location tracking, for elucidating complicated behavioral processes such as food choice.

Indexed as

MovementVirtual RealityAdultChildChild, PreschoolChoice BehaviorDecision MakingFemaleFood PreferencesHumansMaleMotivationParentsbehavioral processchild feedingfood choicefractal dimensionpath tortuosityvirtual reality

Identifiers

PMID31241349
PMCPMC6653789

What OpenQuestion holds

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Registered trials

None linked

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.