Evidence map›Paper›PMID 38222039›Full record

ArticleWorld Haptics Conference. World Haptics Conference2023

Shaping Human Movement via Bimanually-Dependent Haptic Force Feedback.

Jacob R Boehm, Nicholas P Fey, Ann Majewicz Fey

Abstract read
In one paragraph

Article in World Haptics Conference. World Haptics Conference, 2023. 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.

Jacob R BoehmDept. of Mechanical Engineering, The University of Texas at Austin, Austin, TX, USA.
Nicholas P FeyDept. of Mechanical Engineering, The University of Texas at Austin, Austin, TX, USA.
Ann Majewicz FeyDept. of Mechanical Engineering, The University of Texas at Austin, Austin, TX, USA.

Funding

A Virtual Coach to Enhance Surgical Training using Human-Centric Modeling and Adaptive Haptic GuidanceR01EB030125 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI MAJEWICZ FEY, ANN · 2020 to 2023
$1.4M
NIBIB NIH HHS R01 EB030125
6 · The paper itself

Abstract

Haptic feedback can enhance training and performance of human operators; however, the design of haptic feedback for bimanual coordination in robot-assisted tasks (e.g., control of surgical robots) remains an open problem. In this study, we present four bimanually-dependent haptic force feedback conditions aimed at shaping bimanual movement according to geometric characteristics: the number of targets, direction, and symmetry. Haptic conditions include a virtual spring, damper, combination spring-damper, and dual springs placed between the hands. We evaluate the effects of these haptic conditions on trajectory shape, smoothness, and speed. We hypothesized that for subjects who perform worse with no haptic feedback (1) a spring will improve the shape of parallel trajectories, (2) a damper will improve the shape of point symmetric trajectories, (3) dual springs will improve the shape of trajectories with one target, and (4) a damper will improve smoothness for all trajectories. Hypotheses (1) and (2) were statistically supported at the

Indexed as

bimanual coordinationhaptic guidancehuman performancepath and trajectory following

Identifiers

PMID38222039
PMCPMC10786619

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.