Laparoscopic surgery brings substantial benefits to patients. However, it remains challenging for surgeons because of motion constraints and perception limitations. Notably, the perception of interactions with organs is largely compromised. This paper evaluates the effectiveness of a forearm-based skin-stretch haptic feedback system rendering surgical tool tip force. Twenty novice participants had to discern the stiffness of samples to investigate stiffness perception in a simulated laparoscopic task. The experimental protocol involved manipulating samples with three difficulty levels and testing three feedback conditions: no augmentation, visual feedback, and tactile feedback. The results demonstrate that feedback significantly enhances the success rate of laparoscopic palpation tasks. The proposed tactile feedback boosts confidence and task speed and reduces peak force and perceived workload. These benefits become even more pronounced when difficulty increases. These promising findings affirm the value of skin-stretch haptic feedback augmentation in improving performance for simulated laparoscopy tasks, paving the way for more integrated and deployable devices for the operating room.
Tactile perception plays an important role in activities of daily living, and it can be impaired in individuals with certain medical conditions. The most common tools used to assess tactile sensation, the Semmes-Weinstein monofilaments and the 128 Hz tuning fork, have poor repeatability and resolution. Long term, we aim to provide a repeatable, high-resolution testing platform that can be used to assess vibrotactile perception through smartphones without the need for an experimenter to be present to conduct the test. We present a smartphone-based vibration perception measurement platform and compare its performance to measurements from standard monofilament and tuning fork tests. We conducted a user study with 36 healthy adults in which we tested each tool on the hand, wrist, and foot, to assess how well our smartphone-based vibration perception thresholds (VPTs) detect known trends obtained from standard tests. The smartphone platform detected statistically significant changes in VPT between the index finger and foot and also between the feet of younger adults and older adults. Our smartphone-based VPT had a moderate correlation to tuning fork-based VPT. Our overarching objective is to develop an accessible smartphone-based platform that can eventually be used to measure disease progression and regression.