ArticleMedical & biological engineering & computing2015
Using visual cues to enhance haptic feedback for palpation on virtual model of soft tissue.
Article in Medical & biological engineering & computing, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.
- Augmented Reality (AR) for Surgical Robotic and Autonomous Systems: State of the Art, Challenges, and Solutions.Sensors (Basel, Switzerland) · 2023Pooled it
- Prevalence of haptic feedback in robot-mediated surgery: a systematic review of literature.Journal of robotic surgery · 2018Pooled it
- Neural substrates underlying multisensory stiffness perception via active touch and dynamic visual feedback.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Gender variability in palpation performance for temporomandibular disorders with three different methods: An experimental study.European journal of oral sciences · 2024Article
- Visual cues of soft-tissue behaviour in minimal-invasive and robotic surgery.Journal of robotic surgery · 2024Review
- A Narrative Review of Haptic Technologies and Their Value for Training, Rehabilitation, and the Education of Persons with Special Needs.Sensors (Basel, Switzerland) · 2024Review
- Multi-silicone bilateral soft physical twin as an alternative to traditional user interfaces for remote palpation: a comparative study.Scientific reports · 2023Article
- Face mediated human-robot interaction for remote medical examination.Scientific reports · 2022Article
- Human Stiffness Perception and Learning in Interacting With Compliant Environments.Frontiers in neuroscience · 2022Article
- Design of a Wearable Fingertip Haptic Device for Remote Palpation: Characterisation and Interface with a Virtual Environment.Frontiers in robotics and AI · 2018Article
- Evaluation of stiffness feedback for hard nodule identification on a phantom silicone model.PloS one · 2017Article
- Palpation force modulation strategies to identify hard regions in soft tissue organs.PloS one · 2017Article
- Surface deformation and reaction force estimation of liver tissue based on a novel nonlinear mass-spring-damper viscoelastic model.Medical & biological engineering & computing · 2016Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
Abstract
This paper explores methods that make use of visual cues aimed at generating actual haptic sensation to the user, namely pseudo-haptics. We propose a new pseudo-haptic feedback-based method capable of conveying 3D haptic information and combining visual haptics with force feedback to enhance the user's haptic experience. We focused on an application related to tumor identification during palpation and evaluated the proposed method in an experimental study where users interacted with a haptic device and graphical interface while exploring a virtual model of soft tissue, which represented stiffness distribution of a silicone phantom tissue with embedded hard inclusions. The performance of hard inclusion detection using force feedback only, pseudo-haptic feedback only, and the combination of the two feedbacks was compared with the direct hand touch. The combination method and direct hand touch had no significant difference in the detection results. Compared with the force feedback alone, our method increased the sensitivity by 5%, the positive predictive value by 4%, and decreased detection time by 48.7%. The proposed methodology has great potential for robot-assisted minimally invasive surgery and in all applications where remote haptic feedback is needed.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.