DXC Dandelion Program: 2018 in Review

[Excerpt] 2018 was another very successful year for the DXC Dandelion Program. DXC established a number of new, critical partnerships that continue to propel autism at work programs to the forefront of workplace inclusion. This has resulted in the program growing significantly throughout the year. DXC has now successfully established seven teams across four states in Australia, employing over 80 people on the autism spectrum

Autonomous Capabilities for Small Unmanned Aerial Systems Conducting Radiological Response: Findings from a High-fidelity Discovery Experiment

This article presents a preliminary work domain theory and identifies autonomous vehicle, navigational, and mission capabilities and challenges for small unmanned aerial systems (SUASs) responding to a radiological disaster. Radiological events are representative of applications that involve flying at low altitudes and close proximities to structures. To more formally understand the guidance and control demands, the environment in which the SUAS has to function, and the expected missions, tasks, and strategies to respond to an incident, a discovery experiment was performed in 2013. The experiment placed a radiological source emitting at 10 times background radiation in the simulated collapse of a multistory hospital. Two SUASs, an AirRobot 100B and a Leptron Avenger, were inserted with subject matter experts into the response, providing high operational fidelity. The SUASs were expected by the responders to fly at altitudes between 0.3 and 30 m, and hover at 1.5 m from urban structures. The proximity to a building introduced a decrease in GPS satellite coverage, challenging existing vehicle autonomy. Five new navigational capabilities were identified: scan, obstacle avoidance, contour following, environment-aware return to home, andreturn to highest reading. Furthermore, the data-to-decision process could be improved with autonomous data digestion and visualization capabilities. This article is expected to contribute to a better understanding of autonomy in a SUAS, serve as a requirement document for advanced autonomy, and illustrate how discovery experimentation serves as a design tool for autonomous vehicles

Subgroup Formation in Human-Robot Teams

Subgroup formation is vital in understanding teamwork. It was not clear whether subgroup formation takes place in human-robot teams and what the implications of the subgroups might be for the team’s success. Therefore, we conducted an experiment with 44 teams of two people and two robots, where each team member worked with a robot to accomplish a team task. We found that subgroups were formed when team members identified with their robots and were inhibited when they identified with their team as a whole. Robot identification and team identification moderated the negative impacts of subgroup formation on teamwork quality and subsequent team performance

Refining a pedagogical approach for employing design thinking as a catalyst

There is an increasing interest in design and creative thinking processes in the Sciences, Technology, Engineering, and Mathematics (STEM) and health education disciplines. Many new degree programs are integrating design thinking into their syllabi, with the intention of bringing creative problem-solving methods to these disciplines. In reality, the exposure these students get is minimal, and it does not provide enough foundation for them to use the knowledge and apply the process(es) in real-life situations. There is an increased awareness of the importance of design thinking in the innovative process. More and more STEM, business, and health establishments are embedding trained designers into their research teams – yet many designers are not equipped to work on interdisciplinary teams. Design students tend to approach problems more intuitively, opportunistically, and build on creative leaps of imagination whereas, STEM and health disciplines are often more algorithmic, systematic, and rationale. This can often generate tension in interdisciplinary teams, especially when traditional disciplines (e.g., Engineering, Sciences) are integrating relatively newer thinking (e.g., design thinking).In this paper, we share the outcome of a phenomenological study on a high-functioning interdisciplinary team working on a health innovation project focused on aging with a disability. This case study illustrates the skill set needed for designers, health and technology professionals to make a significant contribution to its overall outcome. We identified key attributes that contribute towards being an effective member of interdisciplinary teams. Based on this study, we propose a pedagogical approach to better equip design, STEM, and Health students to be more competitive in changing economic expectations and ensure more impactful design outcomes

Refining a pedagogical approach for employing design thinking as a catalyst

There is an increasing interest in design and creative thinking processes in the Sciences, Technology, Engineering, and Mathematics (STEM) and health education disciplines. Many new degree programs are integrating design thinking into their syllabi, with the intention of bringing creative problem-solving methods to these disciplines. In reality, the exposure these students get is minimal, and it does not provide enough foundation for them to use the knowledge and apply the process(es) in real-life situations. There is an increased awareness of the importance of design thinking in the innovative process. More and more STEM, business, and health establishments are embedding trained designers into their research teams – yet many designers are not equipped to work on interdisciplinary teams. Design students tend to approach problems more intuitively,  opportunistically, and build on creative leaps of imagination whereas, STEM and health disciplines are often more algorithmic, systematic, and rationale. This can often generate tension in interdisciplinary teams, especially when traditional disciplines (e.g., Engineering, Sciences) are integrating relatively newer thinking (e.g., design thinking). In this paper, we share the outcome of a phenomenological study on a high-functioning interdisciplinary team working on a health innovation project focused on aging with a disability. This case study illustrates the skill-set needed for designers, health and technology professionals to make a significant contribution to its overall outcome.  We identified key attributes that contribute towards being an effective member of interdisciplinary teams.  Based on this study, we propose a pedagogical approach to better equip design, STEM, and Health students to be more competitive in changing economic expectations and ensure more impactful design outcomes

A Predictive Model for Human-Unmanned Vehicle Systems : Final Report

Advances in automation are making it possible for a single operator to control multiple unmanned vehicles (UVs). This capability is desirable in order to reduce the operational costs of human-UV systems (HUVS), extend human capabilities, and improve system effectiveness. However, the high complexity of these systems introduces many significant challenges to system designers. To help understand and overcome these challenges, high-fidelity computational models of the HUVS must be developed. These models should have two capabilities. First, they must be able to describe the behavior of the various entities in the team, including both the human operator and the UVs in the team. Second, these models must have the ability to predict how changes in the HUVS and its mission will alter the performance characteristics of the system. In this report, we describe our work toward developing such a model. Via user studies, we show that our model has the ability to describe the behavior of a HUVS consisting of a single human operator and multiple independent UVs with homogeneous capabilities. We also evaluate the model’s ability to predict how changes in the team size, the human-UV interface, the UV’s autonomy levels, and operator strategies affect the system’s performance.Prepared for MIT Lincoln Laborator

In-home and remote use of robotic body surrogates by people with profound motor deficits

By controlling robots comparable to the human body, people with profound motor deficits could potentially perform a variety of physical tasks for themselves, improving their quality of life. The extent to which this is achievable has been unclear due to the lack of suitable interfaces by which to control robotic body surrogates and a dearth of studies involving substantial numbers of people with profound motor deficits. We developed a novel, web-based augmented reality interface that enables people with profound motor deficits to remotely control a PR2 mobile manipulator from Willow Garage, which is a human-scale, wheeled robot with two arms. We then conducted two studies to investigate the use of robotic body surrogates. In the first study, 15 novice users with profound motor deficits from across the United States controlled a PR2 in Atlanta, GA to perform a modified Action Research Arm Test (ARAT) and a simulated self-care task. Participants achieved clinically meaningful improvements on the ARAT and 12 of 15 participants (80%) successfully completed the simulated self-care task. Participants agreed that the robotic system was easy to use, was useful, and would provide a meaningful improvement in their lives. In the second study, one expert user with profound motor deficits had free use of a PR2 in his home for seven days. He performed a variety of self-care and household tasks, and also used the robot in novel ways. Taking both studies together, our results suggest that people with profound motor deficits can improve their quality of life using robotic body surrogates, and that they can gain benefit with only low-level robot autonomy and without invasive interfaces. However, methods to reduce the rate of errors and increase operational speed merit further investigation.Comment: 43 Pages, 13 Figure