Laser excision of urethral mesh erosion: a 10-year experience.

Purpose: To review our 10-year experience with laser excision for urethral mesh erosion (UME) of mid-urethral slings (MUS).

Methods: Following Institutional Review Board approval, the charts of female patients with endoscopic laser excision of UME were retrospectively reviewed. Demographics, clinical presentation, surgical history, pre- and post-operative Urinary Distress Inventory-6 scores and quality of life ratings, operative reports, and outcomes were obtained from electronic medical records.

Vaginoscopy With Laser Treatment of Symptomatic Upper Vaginal Mesh Exposure After Prior Mesh Sacrocolpopexy.

Objective: To describe the technique of vaginoscopy with Holmium:YAG and Thulium laser treatment of upper vaginal mesh exposure after mesh sacrocolpopexy (MSC) as well as evaluate treatment efficacy.

Methods: Following IRB approval, a chart review of all patients who underwent laser treatment of upper vaginal mesh exposure during vaginoscopy at a single institution between 2013 and 2022 was performed. Demographic information, previous mesh placement history, presenting symptoms, physical examination and vaginoscopy findings, imaging, laser type and settings, operating time, complications, and follow-up including examination and office vaginoscopy findings were extracted from electronic medical records.

Objective Assessments of Peyronie's Disease.

Introduction: Penile deformity is the most obvious manifestation of Peyronie's disease (PD) and key to determining the optimal method of treatment. Other aspects of PD to consider include plaque size, location, and density; amount of calcification; erection quality; disease progression; and penile anatomy. Few standards exist for the objective assessment of these parameters.

A Meta-Analysis of Factors Influencing the Development of Trust in Automation: Implications for Understanding Autonomy in Future Systems.

Objective: We used meta-analysis to assess research concerning human trust in automation to understand the foundation upon which future autonomous systems can be built.

Background: Trust is increasingly important in the growing need for synergistic human-machine teaming. Thus, we expand on our previous meta-analytic foundation in the field of human-robot interaction to include all of automation interaction.

Intelligent Agent Transparency in Human-Agent Teaming for Multi-UxV Management.

Objective: We investigated the effects of level of agent transparency on operator performance, trust, and workload in a context of human-agent teaming for multirobot management.

Background: Participants played the role of a heterogeneous unmanned vehicle (UxV) operator and were instructed to complete various missions by giving orders to UxVs through a computer interface. An intelligent agent (IA) assisted the participant by recommending two plans-a top recommendation and a secondary recommendation-for every mission.

Utility of stereoscopic displays for indirect-vision driving and robot teleoperation.

The effectiveness of an active shutter-glasses stereoscopic display (SD) and a passive polarised SD was evaluated in a live robot-teleoperation task and a simulated indirect-vision driving task in various terrains. Overall, participants completed their tasks significantly faster with the SDs in three-dimensional (3D) mode than with the SDs in the baseline 2D mode. They also navigated more accurately with the SDs in 3D mode.

Supervisory control of multiple robots in dynamic tasking environments.

A military targeting environment was simulated to examine the effects of an intelligent route-planning agent RoboLeader, which could support dynamic robot re-tasking based on battlefield developments, on the performance of robotics operators. We manipulated the level of assistance (LOAs) provided by RoboLeader as well as the presence of a visualisation tool that provided feedback to the participants on their primary task (target encapsulation) performance. Results showed that the participants' primary task benefited from RoboLeader on all LOAs conditions compared to manual performance; however, visualisation had little effect.

Supervisory control of multiple robots: effects of imperfect automation and individual differences.

Objective: A military multitasking environment was simulated to examine the effects of an intelligent agent, RoboLeader, on the performance of robotics operators.

Background: The participants' task was to manage a team of ground robots with the assistance of RoboLeader, an intelligent agent capable of coordinating the robots and changing their routes on the basis of battlefield developments.

Method: In the first experiment, RoboLeader was perfectly reliable; in the second experiment, RoboLeader's recommendations were manipulated to be either false-alarm prone or miss prone, with a reliability level of either 60% or 90%.

A meta-analysis of factors affecting trust in human-robot interaction.

Objective: We evaluate and quantify the effects of human, robot, and environmental factors on perceived trust in human-robot interaction (HRI).

Background: To date, reviews of trust in HRI have been qualitative or descriptive. Our quantitative review provides a fundamental empirical foundation to advance both theory and practice.

UAV-guided navigation for ground robot tele-operation in a military reconnaissance environment.

A military reconnaissance environment was simulated to examine the performance of ground robotics operators who were instructed to utilise streaming video from an unmanned aerial vehicle (UAV) to navigate his/her ground robot to the locations of the targets. The effects of participants' spatial ability on their performance and workload were also investigated. Results showed that participants' overall performance (speed and accuracy) was better when she/he had access to images from larger UAVs with fixed orientations, compared with other UAV conditions (baseline- no UAV, micro air vehicle and UAV with orbiting views).