Ecological Interface Design for Knee and Hip Automatic Physiotherapy Assistant and Rehabilitation System

Abstract

In this paper, we report on a recent interface design and evaluation process for a new knee and hip automatic physiotherapy assistant and rehabilitation system (ARS). Interface design was concurrent with the development of ARS. The ARS has the potential to improve the automation of rehabilitation treatments, by providing quantitative measures of a patient’s motion. However, the complexity of rehabilitation information available to the therapist has increased with this additional information. We applied Ecological Interface Design (EID) to understand the domain of physiotherapy and the role of the automation. Results of a Work Domain Analysis (WDA) revealed new functions and constraints in rehabilitation now accessible through the ARS, and provided the design requirements for interface design. A novel interface was designed which is currently undergoing evaluation to see if it improves the quality and experience of physiotherapy. This study provides an example of the advantages of using EID at the early phase of design, and how to apply EID to a system of increasing automaticity.

Design of an Ecological Visual Analytics Interface for Operators of Time-Constant Processes

“…This is done by describing hierarchical means-ends relationships between process parameters. The approach has proven effective in shaping users' behaviors within system boundaries (i.e., a range of actions within which system goals are not violated) in a variety of application domains such as energy efficiency monitoring [13,14], maritime transport [9], aviation [4,8] and medical engineering [19,23]. In our previous work [40,41] we applied the WDA to the design of two VA interfaces which improved experts and novices' ability to understand complex situations in the domain of air traffic control.…”

Real-Time Visual Analytics Interfaces to Strengthen Human-Automation Collaboration

“…interfaces and also for resolving interface issues. In the context of EID, WDA has been performed to improve energy efficiency monitoring Jamieson, 2007, 2014), railway driving performance (Read et al, 2021), road (Baber et al, 2019) and maritime (Van Dam et al, 2006;Morineau et al, 2009;Fay et al, 2018) traffic management, medical engineering (Kwok and Burns, 2005;McEwen et al, 2012;Li et al, 2014), aviation (Amelink et al, 2005;Borst et al, 2007;Van Dam et al, 2008;Borst et al, 2008Borst et al, , 2010Ellerbroek et al, 2011Ellerbroek et al, , 2013 and in ATC (Lodder et al, 2011;Klomp et al, 2014;Mercado Velasco et al, 2015;Beernink et al, 2015;Borst et al, 2017;Ellejmi et al, 2018) In the context of resolving interface issues, Mumaw et al (2000a,b); Xu (2007) performed WDA and identified gaps and actions needed to resolve pilots' flight deck automation issues.…”

Exploring Effects of Ecological Visual Analytics Interfaces on Experts' and Novices' Decision‐Making Processes: A Case Study in Air Traffic Control

“…By defining the constraints, the technique offers a way of understanding the rationale for operators' behaviour. The WDA technique has been used for the development of EID‐based interfaces in various applications, such as improving energy efficiency monitoring [HJ07, HJ14], railway driving performance [RBS∗21], road [BMM19] and maritime [VDMvP06, MBRT09, FSR18] traffic management, medical engineering [KB05, MFE12, LBK14], aviation [AMVPF05, BSMVP06, VDMVP08, BSM∗08, BMVP10, EVVD∗11, EBvPM13] and ATC [LCVPM11, KBMP14, MVBE∗15, BBE∗15, BBVPM17, EBP18]. Beyond interface design, WDA is widely used to systematically arrange large amounts of data enabling the analyst to effectively identify gaps and actions needed to resolve interface issues [MBG∗00, MSW∗00, Xu05].…”