Designing Robots for Care: Care Centered Value-Sensitive Design

The prospective robots in healthcare intended to be included within the conclave of the nurse-patient relationship—what I refer to as care robots—require rigorous ethical reflection to ensure their design and introduction do not impede the promotion of values and the dignity of patients at such a vulnerable and sensitive time in their lives. The ethical evaluation of care robots requires insight into the values at stake in the healthcare tradition. What’s more, given the stage of their development and lack of standards provided by the International Organization for Standardization to guide their development, ethics ought to be included into the design process of such robots. The manner in which this may be accomplished, as presented here, uses the blueprint of the Value-sensitive design approach as a means for creating a framework tailored to care contexts. Using care values as the foundational values to be integrated into a technology and using the elements in care, from the care ethics perspective, as the normative criteria, the resulting approach may be referred to as care centered value-sensitive design. The framework proposed here allows for the ethical evaluation of care robots both retrospectively and prospectively. By evaluating care robots in this way, we may ultimately ask what kind of care we, as a society, want to provide in the futur

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

Human control strategies for multi-robot teams

Expanding human span of control over teams of robots presents an obstacle to the wider deployment of robots for practical tasks in a variety of areas. One difficulty is that many different types of human interactions may be necessary to maintain and control a robot team. We have developed a taxonomy of human-robot tasks based on complexity of control that helps explicate the forms of control likely to be needed and the demands they pose to human operators. In this paper we use research from two of these areas to illustrate our taxonomy and its utility in characterizing and improving human-robot interaction

Evaluating a tactile and a tangible multi-tablet gamified quiz system for collaborative learning in primary education

[EN] Gamification has been identified as an interesting technique to foster collaboration in educational contexts. However, there are not many approaches that tackle this in primary school learning environments. The most popular technologies in the classroom are still traditional video consoles and desktop computers, which complicate the design of collaborative activities since they are essentially mono-user. The recent popularization of handheld devices such as tablets and smartphones has made it possible to build affordable, scalable, and improvised collaborative gamifled activities by creating a multi-tablet environment. In this paper we present Quizbot, a collaborative gamifled quiz application to practice different subjects, which can be defined by educators beforehand. Two versions of the system are implemented: a tactile for tablets laid on a table, in which all the elements are digital; and a tangible in which the tablets are scattered on the floor and the components are both digital and physical objects. Both versions of Quizbot are evaluated and compared in a study with eighty primary-schooled children in terms of user experience and quality of collaboration supported. Results indicate that both versions of Quizbot are essentially equally fun and easy to use, and can effectively support collaboration, with the tangible version outperforming the other one with respect to make the children reach consensus after a discussion, split and parallelize work, and treat each other with more respect, but also presenting a poorer time management.We would like to thank Universitat Politecnica de Valencia's Summer School for their collaboration during the development of this study, as well as Colegio Internacional Ausias March for their support in the development of educational content.This work is supported by Spanish Ministry of Economy and Competitiveness and funded by the European Development Regional Fund (EDRF-FEDER) with Project TIN2014-60077-R. It is also supported by fellowship ACIF/2014/214 within the VALi+d program from Conselleria d’Educació, Cultura i Esport (Generalitat Valenciana), and by fellowship FPU14/00136 within the FPU program from Spanish Ministry of Education, Culture, and SportGarcía Sanjuan, F.; El Jurdi, S.; Jaén Martínez, FJ.; Nácher-Soler, VE. (2018). Evaluating a tactile and a tangible multi-tablet gamified quiz system for collaborative learning in primary education. Computers & Education. 123:65-84. https://doi.org/10.1016/j.compedu.2018.04.011S658412

Analysis and Observations from the First Amazon Picking Challenge

This paper presents a overview of the inaugural Amazon Picking Challenge along with a summary of a survey conducted among the 26 participating teams. The challenge goal was to design an autonomous robot to pick items from a warehouse shelf. This task is currently performed by human workers, and there is hope that robots can someday help increase efficiency and throughput while lowering cost. We report on a 28-question survey posed to the teams to learn about each team's background, mechanism design, perception apparatus, planning and control approach. We identify trends in this data, correlate it with each team's success in the competition, and discuss observations and lessons learned based on survey results and the authors' personal experiences during the challenge