A Participatory Design Framework For Customisable Assistive Technology

High product costs and device abandonment negatively affect people with disabilities who require Assistive Technology (AT), and poor product design is a root cause. The purpose of this research is to develop and demonstrate a participatory design framework for customisable AT, which addresses the need for low-cost assistive products that satisfy a broad range of consumers’ needs. This framework addresses two main gaps in the literature. First, user involvement in the design process of medical and rehabilitative products helps create products that are more effective but, although methods to involve users exist, there are currently scant techniques to translate the research data into design solution concepts. Second, adaptive mass customisation offers a way to reduce a product’s cost by making it useful to more people and adaptable to a user’s changing needs. Although the creation of one-off, tailored AT devices is discussed in the literature, there are no methods to support the development of customisable or adaptable AT. Two-phases of participatory design research are described in the thesis, and make up the body of the design framework. First, a Delphi study is used to facilitate AT professionals working with individuals with disabilities in reaching a consensus on important design issues relating to a specific type of AT. An adapted morphological matrix is then presented as a novel way of applying the results of a Delphi study to concept generation. The second phase facilitates the involvement of AT users with disabilities in a series of participatory design workshops to create a final product design and prototype. The research approach was exploratory and Assistive Technology Computer Input Devices (ATCIDs) were employed as a sample technology domain to develop and substantiate the framework. Three key contributions resulted from this work; a wide range of problems and design issues related to ATCIDs; a method for using touch panel technology as a customisable ATCID; and, most pertinent due to its transferability, a participatory design framework for customisable AT with recommendations for participatory design practice involving individuals with diverse disabilities

The role of HCI in the construction of disability

As a discipline concerned with the design, evaluation and implementation of interactive computing systems for human use, and with the study of major phenomena surrounding them, human computer interaction (HCI) is involved in the phenomenon of disability. For an interaction between humans and computers to take place, there should be an interface mediating between both parties. The design of such an interface may inadvertently impose access barriers to some people. HCI literature addresses the relationship between the theory and practice of HCI and disability from different angles, some of which are diametrically opposed. This thesis explores three modern conceptions, or models, of disability — the individualistic medical, the biopsychosocial and the social models —, investigates which model predominates in the HCI literature, and analyzes why choosing a particular model may determine and constrain the classes of problems that can be identified during a solution discovery process. Departing from HCI’s traditional discourse, which interprets the phenomenon of disability as a problem in the human body, the author, leading a team of engineers and psychologists, carried out a project in a school for children with cerebral palsy. The project was aimed to improve different areas of child development, using non conventional user interfaces — i.e. user interfaces that use other input/output devices than the keyboard, mouse or screen. After two years working directly within the field of operations”, the author had the opportunity to contrast the theory underpinning HCI’s methods with real practice and to expand his understandings about the relationships between HCI and disability. The research process involved an action research approach, which allowed the author and the team of experimenters to formulate new hypotheses as they learned more about the context, to review the process and, ultimately and most importantly,to readapt their actions to better serve the end beneficiaries. The experiences and learnings gathered throughout the process have been included in this thesis as a case study, for the purpose of helping HCI researchers embarking on projects relatable to the one described. Finally, the author urges the HCI community to update its discourse and to connect it with the vast literature related to modern conceptions of the phenomenon of disability

User-Centered Design Strategies for Clinical Brain-Computer Interface Assistive Technology Devices

Although in the past 50 years significant advances based on research of brain-computer interface (BCI) technology have occurred, there is a scarcity of BCI assistive technology devices at the consumer level. This multiple case study explored user-centered clinical BCI device design strategies used by computer scientists designing BCI assistive technologies to meet patient-centered outcomes. The population for the study encompassed computer scientists experienced with clinical BCI assistive technology design located in the midwestern, northeastern, and southern regions of the United States, as well as western Europe. The multi-motive information systems continuance model was the conceptual framework for the study. Interview data were collected from 7 computer scientists and 28 archival documents. Guided by the concepts of user-centered design and patient-centered outcomes, thematic analysis was used to identify codes and themes related to computer science and the design of BCI assistive technology devices. Notable themes included customization of clinical BCI devices, consideration of patient/caregiver interaction, collective data management, and evolving technology. Implications for social change based on the findings from this research include focus on meeting individualized patient-centered outcomes; enhancing collaboration between researchers, caregivers, and patients in BCI device development; and reducing the possibility of abandonment or disuse of clinical BCI assistive technology devices

Advancing Medical Technology for Motor Impairment Rehabilitation: Tools, Protocols, and Devices

Excellent motor control skills are necessary to live a high-quality life. Activities such as walking, getting dressed, and feeding yourself may seem mundane, but injuries to the neuromuscular system can render these tasks difficult or even impossible to accomplish without assistance. Statistics indicate that well over 100 million people are affected by diseases or injuries, such as stroke, Parkinson’s Disease, Multiple Sclerosis, Cerebral Palsy, peripheral nerve injury, spinal cord injury, and amputation, that negatively impact their motor abilities. This wide array of injuries presents a challenge to the medical field as optimal treatment paradigms are often difficult to implement due to a lack of availability of appropriate assessment tools, the inability for people to access the appropriate medical centers for treatment, or altogether gaps in technology for treating the underlying impairments causing the disability. Addressing each of these challenges will improve the treatment of movement impairments, provide more customized and continuous treatment to a larger number of patients, and advance rehabilitative and assistive device technology. In my research, the key approach was to develop tools to assess and treat upper extremity movement impairment. In Chapter 2.1, I challenged a common biomechanical[GV1] modeling technique of the forearm. Comparing joint torque values through inverse dynamics simulation between two modeling platforms, I discovered that representing the forearm as a single cylindrical body was unable to capture the inertial parameters of a physiological forearm which is made up of two segments, the radius and ulna. I split the forearm segment into a proximal and distal segment, with the rationale being that the inertial parameters of the proximal segment could be tuned to those of the ulna and the inertial parameters of the distal segment could be tuned to those of the radius. Results showed a marked increase in joint torque calculation accuracy for those degrees of freedom that are affected by the inertial parameters of the radius and ulna. In Chapter 2.2, an inverse kinematic upper extremity model was developed for joint angle calculations from experimental motion capture data, with the rationale being that this would create an easy-to-use tool for clinicians and researchers to process their data. The results show accurate angle calculations when compared to algebraic solutions. Together, these chapters provide easy-to-use models and tools for processing movement assessment data. In Chapter 3.1, I developed a protocol to collect high-quality movement data in a virtual reality task that is used to assess hand function as part of a Box and Block Test. The goal of this chapter is to suggest a method to not only collect quality data in a research setting but can also be adapted for telehealth and at home movement assessment and rehabilitation. Results indicate that the data collected in this protocol are good and the virtual nature of this approach can make it a useful tool for continuous, data driven care in clinic or at home. In Chapter 3.2 I developed a high-density electromyography device for collecting motor unit action potentials of the arm. Traditional surface electromyography is limited by its ability to obtain signals from deep muscles and can also be time consuming to selectively place over appropriate muscles. With this high-density approach, muscle coverage is increased, placement time is decreased, and deep muscle activity can potentially be collected due to the high-density nature of the device[GV2] . Furthermore, the high-density electromyography device is built as a precursor to a high-density electromyography-electrical stimulation device for functional electrical stimulation. The customizable nature of the prototype in Chapter 3.2 allows for the implementation both recording and stimulating electrodes. Furthermore, signal results show that the electromyography data obtained from the device are of high quality and are correlated with gold standard surface electromyography sensors. One key factor in a device that can record and then stimulate based on the information from the recorded signals is an accurate movement intent decoder. High-quality movement decoders have been designed by closed-loop device controllers in the past, but they still struggle when the user interacts with objects of varying weight due to underlying alterations in muscle signals. In Chapter 4, I investigate this phenomenon by administering an experiment where participants perform a Box and Block Task with objects of 3 different weights, 0 kg, 0.02 kg, and 0.1 kg. Electromyography signals of the participants right arm were collected and co-contraction levels between antagonistic muscles were analyzed to uncover alterations in muscle forces and joint dynamics. Results indicated contraction differences between the conditions and also between movement stages (contraction levels before grabbing the block vs after touching the block) for each condition. This work builds a foundation for incorporating object weight estimates into closed-loop electromyography device movement decoders. Overall, we believe the chapters in this thesis provide a basis for increasing availability to movement assessment tools, increasing access to effective movement assessment and rehabilitation, and advance the medical device and technology field

Multimodal access to social media services

Tese de mestrado integrado. Engenharia Informática e Computação. Faculdade de Engenharia. Universidade do Porto, Microsoft Language Development Center. 201

DESIGNING AND IMPLEMENTING ACCESSIBLE WEARABLE INTERACTIONS FOR PEOPLE WITH MOTOR IMPAIRMENTS

Emerging wearable technologies like fitness bands, smartwatches, and head-mounted displays (HMDs) are entering the mainstream market. Unlike smartphones and tablets, these wearables, worn on the body or clothing, are always available and have the potential to provide quick access to information [7]. For instance, HMDs can provide relatively hands-free interaction compared to smartphones, and smartwatches and activity trackers can collect continuous health and fitness-related information of their wearer. However, there are over 20 million people in the U.S. with upper body motor impairments [133], who may not be able to gain from the potential benefits of these wearables. For example, the small interaction spaces of smartwatches may present accessibility challenges. Yet, few studies have explored the potential impacts or evaluated the accessibility of these wearables or investigated ways to design accessible wearable interactions for people with motor impairments. To inform the design of future wearable technologies, my dissertation investigates three threads of research: (1) assessing the accessibility of wearable technologies like HMDs, smartwatches and fitness trackers; (2) understanding the potential impacts of sharing automatically tracked fitness-related information for people with mobility impairments; and (3) implementing and evaluating accessible interactions for HMDs and smartwatches. As part of my first research thread, I conducted two formative studies investigating the accessibility of HMDs and fitness trackers and found that people with motor impairments experienced accessibility challenges like problematic form factors, irrelevant data tracking and difficulty with existing input. For my second research thread, I investigated the potential impacts of sharing automatically tracked data from fitness trackers with peers with similar impairments and therapists and presented design opportunities to build tools to support sharing. Towards my third research thread, I addressed the earlier issues identified with HMD accessibility by building custom wearable touchpads to control a commercial HMD. Next, I explored the touchscreen and non-touchscreen areas (bezel, wristband and user’s body) of smartwatches for accessible interaction. And, lastly, I built and compared bezel input with touchscreen input for accessible smartwatch interaction. The techniques implemented and evaluated in this dissertation will enable more equitable and independent use of wearable technologies for people with motor impairments

Human Enhancement Technologies and Our Merger with Machines

A cross-disciplinary approach is offered to consider the challenge of emerging technologies designed to enhance human bodies and minds. Perspectives from philosophy, ethics, law, and policy are applied to a wide variety of enhancements, including integration of technology within human bodies, as well as genetic, biological, and pharmacological modifications. Humans may be permanently or temporarily enhanced with artificial parts by manipulating (or reprogramming) human DNA and through other enhancement techniques (and combinations thereof). We are on the cusp of significantly modifying (and perhaps improving) the human ecosystem. This evolution necessitates a continuing effort to re-evaluate current laws and, if appropriate, to modify such laws or develop new laws that address enhancement technology. A legal, ethical, and policy response to current and future human enhancements should strive to protect the rights of all involved and to recognize the responsibilities of humans to other conscious and living beings, regardless of what they look like or what abilities they have (or lack). A potential ethical approach is outlined in which rights and responsibilities should be respected even if enhanced humans are perceived by non-enhanced (or less-enhanced) humans as “no longer human” at all