Evidence map›Paper›PMID 39438622›Full record

ArticleScientific reports2024

Instilling the perception of weight in augmented reality using minimal haptic feedback.

Alexandra Watkins, Ritam Ghosh, Akshith Ullal, Nilanjan Sarkar

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Alexandra WatkinsMechanical Engineering, Vanderbilt University, 2400 Highland Ave, Nashville, 37212, TN, USA. alexandra.watkins@vanderbilt.edu.
Ritam GhoshElectrical and Computer Engineering, Vanderbilt University, 400 24th Ave S, Nashville, 37212, TN, USA.
Akshith UllalElectrical and Computer Engineering, Vanderbilt University, 400 24th Ave S, Nashville, 37212, TN, USA.
Nilanjan SarkarMechanical Engineering, Vanderbilt University, 2400 Highland Ave, Nashville, 37212, TN, USA. nilanjan.sarkar@vanderbilt.edu.

Funding

Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
Reducing Loneliness of Older Adults in Long Term Care Facilities through Collaborative Augmented RealityR21AG078480 · NIA · VANDERBILT UNIVERSITY · PI SARKAR, NILANJAN, TATE, JUDITH ANN · 2022 to 2023
$433k
NIA NIH HHS R21 AG078480NICHD NIH HHS P50 HD103537
6 · The paper itself

Abstract

Humans perceive gravitational forces on their surroundings through a mix of visual and sensorimotor cues. The accurate presentation of such cues is a difficult task in Mixed/Augmented Reality (MR/AR), technological paradigms that blend physical and virtual elements to enhance the way we interact with our environment. Realistically perceiving the weight of virtual elements within a MR/AR scenario aids in the embodiment of those elements within the user's reality, further blurring the lines between what is real and virtual. Unfortunately, current force feedback devices are not designed for or are entirely compatible with MR/AR experiences. To address this need, we explore minimal haptic feedback for weight perception in MR/AR, aiming to simplify the rendering of gravitational cues that are crucial to an immersive experience. Our benchtop device, focused on wrist feedback, showed improved user experience even within an implicit weight feedback task, i.e., a task where weight perception was not required for task completion. However, challenges arose in mixed real-virtual environments, a cornerstone of MR/AR interaction, where weight discrimination was observed to be less accurate. To address this, we developed a compensation scheme for virtual weights, leading to performance on par with a purely virtual environment. Our work demonstrates the viability of minimal haptic feedback in MR/AR applications and highlights the importance of integrating weight perception for increased realism. Our work also fills a research gap in MR/AR development, providing insights for designing future MR/AR systems that integrate with human sensory mechanisms to create virtual interactions that more closely mirror the physical world.

Indexed as

Augmented RealityFeedback, SensoryWeight PerceptionAdultFemaleHumansMaleTouch PerceptionUser-Computer InterfaceVirtual RealityYoung AdultAugmented realityHaptic feedbackWeight perception

Identifiers

PMID39438622
PMCPMC11496738

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.