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Professional and corporate codes of ethics (Codes) are commonly used, but they are not consistently effective. Research has indicated the importance of values included in Codes, but there is little research exploring how to improve the effectiveness of Code values. There are proven pedagogies that can be used in ethics training, notably, the values-focused approach known as value self-confrontation (VSC). VSC comes from the field of psychology and has been researched for over 50 years. This theory-based methodology is effective at increasing the importance of targeted values and positively changing attitudes and behaviors. Based on our thematic review of extant VSC literature, we develop a simplified VSC implementation strategy and instrument called code value self-confrontation (CVSC). CVSC involves a self-confrontation between a participant’s personal values and the values of the organization. This confrontation can create value dissonance in the participant, which can increase the importance given to the values of the organization. VSC has been effective at positively impacting pro-organization behaviors as well as societal issues such as equality, race relations, and environmentalism. By increasing the importance of ethical values, organizations can be rewarded with behavioral changes that translate into more ethical work behaviors and decision-making.

Assistive technology products are designed to provide additional accessibility to individuals who have physical or cognitive difficulties, impairments and disabilities. The purpose of this paper is to deal with the control of a knee joint orthosis intended to be used for rehabilitation and assistive purpose; this control aims to reduce the influence of the uncertainties and eliminating the external disturbances in the system.

This paper deals with the robust adaptive sliding mode controller (ASMC) of human-driven knee joint orthosis system with mismatched uncertainties and external disturbances. The shank-orthosis system has been modeled and its parameters have been identified. This control reduces the effect of parameter uncertainties and external disturbances on the system performance and improves the system robustness as results. The ASMC was designed to offer the possibility to track the state of the reference model. Moreover, the Lyapunov stability theory was used to study the asymptotical stability of the ASMC.

The advantage of the robust ASMC method is the tracking precision and reducing the required time for eliminating external disturbances and uncertainties. The experimental results show in real-time in terms of stability and present that the advantages of this control approach are the position tracking and robustness.

In this paper, to deal with the parameter uncertainties of the human-driven knee joint orthosis, an ASMC was successfully applied based on sliding mode and Lyapunov stability theory. It has good dynamic response and tracking performance. Besides, the adaptive algorithm is simple, easy to achieve and has good adaptability and robustness against the parameter variations and external disturbances. The design technique is simple and efficient. The development of this control takes into consideration the perturbation, allowing to track a desired trajectory.