Wheelchair users often face significant barriers to maintaining and adapting their chairs, from resource constraints to limited access to professional services. In response, many turn to social media platforms such as YouTube to share and learn practical knowledge. However, little is known about how wheelchair users document and exchange repair, maintenance, and customization practices online. To address this gap, we analyzed 290 YouTube videos alongside 800 sampled comments using thematic coding and statistical analysis. Our findings revealed diverse user needs, from enhancing mobility to expressing identity, which were addressed through a spectrum of DIY acts, such as accessorizing, bricolage, and major modifications. Engagement analysis further reveals how styling videos attract a broad audience, while custom-built “chair tours” become hubs of knowledge and solidarity. We reflect on using YouTube as a research source and call for a design approach grounded in solidarity that supports the full spectrum of DIY practices.

In Ghana, people with communication challenges could benefit from gaze-based Augmented and Assistive Communication devices (AACs), widely used in countries with greater resources.However, there is limited evidence about the potential of such devices by people with communication disabilities in the Global South.Our study sought to evaluate the usability, identifying barriers and facilitators of adoption of a freely available Android-based eye-gaze AAC application called Look to Speak.The study included training of 10 local speech and language therapists and 15 people with communication difficulties.Our findings highlight how, despite some initial successes and the positive opinions of clients, caregivers and speech and language therapists the Look to Speak application largely failed to deliver substantial communication benefits to individual users.This was due to a combination of factors including the high cognitive load, design flaws of the application -such as the lack of optimization of the selection process depending on the chosen interaction mode, and lack of wheelchairs with adequate postural support, which are necessary for users to be able to successfully utilise the application.We contribute insights surrounding the mismatch between expectations and reality of gaze-base AACs, and considerations about the broader ecosystem required to support adoption and impact of such technologies in Ghana.

Recent advances in smartphone technology have elevated their potential as digital assistive technologies (AT) for blind or partially sighted (BPS) and deaf or hard of hearing (DHH) individuals.However, there is a gap in fully understanding the use of smartphones as AT and their impact on the quality of life (QoL) of BPS and DHH individuals.To address this gap, we conducted a mixed-methods longitudinal study over six months with 193 participants in Kenya.The study involved a baseline survey, smartphone digital skills training, and a follow-up survey and interviews to examine the impact of smartphones as AT.The findings emphasise the significant impact of smartphones on their quality of life, including impact on their identity and well-being, social inclusion and leisure, access to information and education, and material well-being.Building on the findings, we contribute an AT Impact Framework, which

While AI chatbots have been proposed to support wheelchair provision services in low- and middle-income countries (LMICs), the perception of physical therapists regarding how they could be integrated into their service workflow remains unclear. We conducted semi-structured interviews with 11 professionals from Africa and South Asia, using two design probes to investigate the potential and limitations of using chatbots in their everyday wheelchair assessment services. Our findings revealed 13 tensions that arise when the envisioned chatbot use misaligns with three interconnected domains - professional values, practice structures, and contextual readiness, such as conflicts in professional autonomy, evolving responsibilities, and confidence in AI. To guide more situated chatbot design, we proposed a tension-informed design framework that centers professional practice and surfaces tensions as opportunities rather than barriers. We discuss how introducing chatbots in LMICs should aim to amplify professionals’ capacity and align with the nature of assistive technology services.

Video content creation offers vital opportunities for expression and participation, yet remains largely inaccessible to creators with sensory impairments, especially in low-resource settings.We conducted interviews with 20 video creators with visual and hearing impairments in Kenya to examine their tools, challenges, and collaborative practices.Our findings show that accessibility barriers and infrastructural limitations shape video creation as a staged, collaborative process involving trusted human partners and emerging AI tools.Across workflows, creators actively negotiated agency and trust, maintaining creative control while bridging sensory gaps.We discuss the need for flexible, interdependent collaboration models, inclusive human-AI workflows, and diverse storytelling practices.This work broadens accessibility research in HCI by examining how technology and social factors intersect in low-resource contexts, suggesting ways to better support disabled creators globally.

Advances in artificial intelligence (AI) hold transformative potential for humanitarian practice. Yet aligning this potential with the demands of humanitarian practice in dynamic and often resource-austere contexts remains a challenge. While research on Responsible AI provides high-level guidance, humanitarian practice demands nuanced approaches for which human-computer interaction (HCI) can provide a strong foundation. However, existing literature lacks a comprehensive examination of how HCI principles can inform responsible AI adoption in humanitarian practice. To address this gap, we conducted a reflexive thematic analysis of 34 interviews with AI technology experts, humanitarian practitioners, and humanitarian policy developers. Our contributions are twofold. First, we empirically identify three cross-cutting themes—AI risks in humanitarian practice, organisational readiness, and collaboration—that highlight common tensions in adopting AI for humanitarian practice. Second, by analysing their interconnectivities, we reveal intertwined obstacles and propose a conceptual HCI-informed framework.

Chronic pain is a prevalent condition where fear of movement and pain interfere with everyday functioning. Yet, there is no open body movement dataset for people with chronic pain in everyday settings. Our EmoPain@Home dataset addresses this with capture from 18 people with and without chronic pain in their homes, while they performed their routine activities. The data includes labels for pain, worry, and movement confidence continuously recorded for activity instances for the people with chronic pain. We explored baseline two-level pain detection based on this dataset and obtained 0.62 mean F1 score. However, extension of the dataset led to deterioration in performance confirming high variability in pain expressions for real world settings. We investigated baseline activity recognition for this setting as a first step in exploring the use of the activity label as contextual information for improving pain level classification performance. We obtained mean F1 score of 0.43 for 9 activity types, highlighting its feasibility. Further exploration, however, showed that data from healthy people cannot be easily leveraged for improving performance because worry and low confidence alter activity strategies for people with chronic pain. Our dataset and findings lay critical groundwork for automatic assessment of pain experience and behaviour in the wild.

Flexible working, including in resource-constrained settings such as long-haul flights, poses considerable challenges. While research in mixed reality (MR) offers the potential for enhancing experiences of working on airplanes (WoA), what input modalities and interactions might be suitable for such workspaces is under-explored. To address this gap, we created four design probes and demonstrated their interactions within MR for WoA using a branching decision-based interactive video. 24 participants engaged in the think-aloud study with the video where they selected which probe to watch based on personal preference and order. The follow-up interview further solidified their general preferences for intuitive and friction-free inputs, revealed strong concerns about reliability, discreetness, and portability, and showed high enthusiasm for interactive video. Based on these findings, we contribute a context-driven design space of input modalities for WoA in MR, extending the understanding of design opportunities for inputs with MR in confined spaces.

Digital inclusion is essential for attaining the United Nations’ Sustainable Development Goals and for ensuring no one is left behind. In low-and-middle countries (LMICs), people lack the digital skills to access good-quality employment opportunities. It has been shown in other contexts that scaffolding the learning of digital skills can enhance people’s attainment of digital skills; specifically, these interventions target increasing the zones of actual development and independent action. However, to date, fewer studies have looked specifically at the role of digital skills training via smartphones for blind and partially sighted and deaf and hard-of-hearing people in LMICs. We conducted classroom-based training and peer learning through WhatsApp groups for 138 people in India and Kenya. Our findings emphasize the role of inclusive scaffolding and instructional and community-based peer learning. As such, we present a new digital scaffolding framework for inclusive instructional and peer learning, extending Vygotsky’s Scaffolding Theory.

To tackle the lack of wheelchair service information and training in low and middle-income countries (LMICs), we deployed Wheelpedia, a WhatsApp chatbot powered by a large language model (LLM) as a design probe for 2 months to concretely explore how it can support wheelchair users and professionals in Nigeria and Kenya. Through 18 semi-structured interviews and analysis of 471 messages, we focused on not only Wheelpedia's acceptability and usability but also how users orient themselves with the probe, integrate its information, and manage trust with it. The findings revealed participants' overwhelming enthusiasm towards the chatbot's potential in education, fostering empowerment, and reducing social stigma. We discuss challenges like users' difficulty in formulating questions, unfamiliarity with the concept of chatbots, and requests for image output. This paper contributes valuable insights into the design implications and research opportunities for deploying LLM chatbots in low-resourced settings with complex accessibility needs.

Postcolonial and decolonial computing examines how technology design and adoption can perpetuate subtle dimensions of coloniality, under-represent certain regions (e.g., the Global South, non-Western regions, Indigenous societies), and marginalize them. There has been a growing interest in interdisciplinary research focusing on marginalized communities, including accessibility and participatory research. Despite the rapid expansion of accessibility research in the last decades, little focus is placed on accessibility issues within marginalized societies, hindering them from effectively benefiting from accessibility research discussions and outcomes. The accessibility and HCI communities still lack comprehensive knowledge on conducting interdisciplinary research that includes diverse cultures and experiences from some of the systematically marginalized regions. This workshop will explore the intersection of accessibility, HCI, and cross-regional studies, bringing together researchers and practitioners to foster collaborations, identify under-explored research areas, and develop guidelines to support inclusive research practices.

In Ghana people who struggle to articulate speech as a result of different conditions experience barriers in interacting with others due to difficulties in being understood. Automatic speech recognition software can be used to help listeners understand people with communication difficulties. However, studies have not looked at the practical feasibility of these technologies beyond the Global North. We present a novel user study examining the introduction of one such technology, Google Project Relate, to Ghana. This freely available mobile application can create personalised speech recognition models in English for non-standard speech to support communication. Our user study spans the training of local speech and language therapists and 20 people with communication difficulties. We utilise the Technology Amplification Theory to contribute insights on the need for technological adaptations, awareness and support to reduce differential gaps of access, capacity and motivation to expand the reach of these technologies rather than exacerbating inequalities.

Current approaches to designing technologies for stroke rehabilitation at home show great promise using either mindfulness-based interventions or embodied tangible interactions. However, there is an untapped potential in integrating these approaches and a lack of understanding of how to embody aspects of mindfulness in tangible interactions for stroke rehabilitation. We report the first explicit effort to explore this dimension by conducting semi-structured interviews and co-design sessions involving four physiotherapists and four mindfulness experts. The major themes ‘Awareness – The essence of mindfulness’ and ‘Tactile sensations – A pathway to mindfulness’ point us towards new ways to embody mindfulness in tangible interactions to address stroke rehabilitation challenges. This work introduces a novel approach to designing technology called ‘Mindfulness-based Embodied Tangible Interactions’ (MBETI). We present five key design principles such as 'Design to support mindful awareness’ and ‘Design for Comfort’ while discussing the future research opportunities of assistive technologies for stroke rehabilitation.

In a world where diversity is increasingly recognised and celebrated, it is important for HCI to embrace the evolving methods and theories for technologies to reflect the diversity of its users and be ability-centric. Interdependence Theory, an example of this evolution, highlights the interpersonal relationships between humans and technologies and how technologies should be designed to meet shared goals and outcomes for people, regardless of their abilities. This necessitates a contemporary understanding of "ability-diverse collaboration," which motivated this review. In this review, we offer an analysis of 117 papers sourced from the ACM Digital Library spanning the last two decades. We contribute (1) a unified taxonomy and the Ability-Diverse Collaboration Framework, (2) a reflective discussion and mapping of the current design space, and (3) future research opportunities and challenges. Finally, we have released our data and analysis tool to encourage the HCI research community to contribute to this ongoing effort.

While audio-based interfaces make information accessible to people with visual impairments, some information, such as diagrams, graphs, and charts, can be better interpreted tactilely. We introduce a new Passive Refreshable Tactile (PRET) Printer concept. Using off-the-shelf components of a laser engraver and the nascent Tacilia technology, the prototype enables the creation of refreshable tactile graphics. By leveraging Pixel Art as a rendering process, we enhance the diversity of image production on this medium. We contribute technical specifications, open-source files to make the PRET printer and a qualitative evaluation of the concept by tactile learners. The prototype facilitates rapid and cost-effective development of refreshable tactile media, crucial for improving comprehension. The work builds upon existing research, furthering the groundwork to address the needs of tactile learners worldwide and establishing a foundation for further innovation and development in this domain.

Autism research is primarily targeted toward children and at normalizing autistic traits. We conducted a literature review of computing research on adult autism, focusing on identifying research priorities set by autistic adults and their allies, determining participation levels, identifying how autism is conceptualized, and the types of technologies designed and their purposes. We found: (1) that computing research in adult autism is neither representative of older and non-binary adults nor of autistic adults living outside the USA and Europe; (2) a lack of technologies geared towards the priorities set by autistic adults and their allies; and (3) that computing research primarily views adult autism as a medical deficit and builds design solutions and technologies that follow this marginalizing narrative. We discuss the status quo and provide recommendations for computing researchers to encourage research built on user needs and that is respectful of autistic adults.

Two-dimensional pin array displays enable access to tactile graphics that are important for the education of students with visual impairments. Due to their prohibitive cost and limited access, there is limited research within HCI and the rules to design graphics on these low-resolution tactile displays are unclear. In this paper, eight tactile readers with visual impairments qualitatively evaluate the implementation of Pixel Art to create tactile graphical primitives on a pin array display. Every pin of the pin array is assumed to be a pixel on a pixel grid. Our findings suggest that Pixel Art tactile graphics on a pin array are clear and comprehensible to tactile readers, positively confirming its use to design basic tactile shapes and line segments. The guidelines provide a consistent framework to create tactile media which implies that they can be used to downsize basic shapes for refreshable pin-array displays.

Shared control is a mode where the user input is combined with a planned motion to achieve a common goal. In navigation, a shared control approach could provide a potential mobility solution for people who have a mobility impairment and find traditional powered wheelchairs unsuitable. While state-of-the-art work in shared control has demonstrated its capability in improving safety, human-machine interaction and reduce confusion, it is still challenging to use shared control in dynamic, crowded scenarios, in a way that is acceptable to users. Learning from recent advances in robot navigation, we present a reinforcement learning based framework, which allows navigation to be achieved in a user-specific shared controlled way. Our approach was trained and tested in a Unity3D based simulator. It achieved 33% fewer collisions, similar high user agreement (≤ 85%) and 27% less completion time when compared with our previous model-based method.

Ninety percent of the 1.2 billion people who need assistive technology (AT) do not have access. Information seeking practices directly impact the ability of AT producers, procurers, and providers (AT professionals) to match a user's needs with appropriate AT, yet the AT marketplace is interdisciplinary and fragmented, complicating information seeking. We explored common limitations experienced by AT professionals when searching information to develop solutions for a diversity of users with multi-faceted needs. Through Template Analysis of 22 expert interviews, we find current search engines do not yield the necessary information, or appropriately tailor search results, impacting individuals’ awareness of products and subsequently their availability and the overall effectiveness of AT provision. We present value-based design implications to improve functionality of future AT-information seeking platforms, through incorporating smarter systems to support decision-making and need-matching whilst ensuring ethical standards for disability fairness remain.

Refreshable tactile displays based on pin array technologies have a significant impact on the education of children with visual impairments, but they are prohibitively expensive. To better understand their design and the reason for the high cost, we created a database and analyzed the product architectures of 67 unique pin array technologies from literature and patents. We qualitatively coded their functional elements and analyzed the physical parts that execute the functions. Our findings highlight that pin array surfaces aim to achieve three key functions, i.e., raise and lower pins, lock pins, and create a large array. We also contribute a concise morphological chart that organises the various mechanisms for these three functions. Based on this, we discuss the reasons for the high cost and complexity of these surface haptic technologies and infer why larger displays and more affordable devices are not available. Our findings can be used to design new mechanisms for more affordable and scalable pin array display systems.

While there is growing interest in developing tech-nology to support pain assessment, pain-related self-management, and healthcare personalisation, there are currently no datasets on nonverbal pain behaviour in the context of functional activities. To address this gap, we introduce the EmoPain(at)Home dataset which consists of motion capture data and self-reported pain, worry, and confidence intensities captured from people with chronic pain. The data were recorded during self-selected functional activities in the home, e.g. vacuuming. We include analysis of the dataset as well as baseline classification of pain levels with average F1 score of 0.61 for two classes. We additionally discuss inclusivity considerations for capture of datasets in naturalistic settings, based on lessons learnt within our study.

The COVID-19 pandemic forced researchers to find new ways to continue research, as universities and laboratories experienced closure due to nationwide lockdowns in many countries worldwide, including conducting experiments, workshops, and ethnographic work online. While this had a significant impact on the majority of research work across SIGCHI, research relating to disability and ageing was most impacted due to the additional challenges of recruiting participants, finding accessible online platforms, and ensuring seamless participation while juggling platform accessibility issues, facilitation, and supporting participants’ needs. These challenges were more extreme for disabled researchers. In this workshop, we aim to bring together researchers, designers, and practitioners to explore effective strategies and brainstorm actionable guidelines for supporting disability inclusive online research methods and platforms.

Shared control wheelchairs can help users to navigate through crowds by enabling the person to drive the wheelchair while receiving support in avoiding pedestrians. To date, research into shared control has largely overlooked the perspectives of wheelchair users. In this paper, we present two studies that aim to address this gap. The first study involved a series of semi-structured interviews with wheelchair users which highlighted the presence of two different interaction loops, one between the user and the wheelchair and a second one between the user and the crowd. In the second study we engaged with wheelchair users and designers to co-design appropriate feedback loops for future shared control interaction interfaces. Based on the results of the co-design session, we present design implications for shared control wheelchair around the need for empathy, embodiment and social awareness; situational awareness and adaptability; and selective information management.

Orientation and mobility (O&M) training provides essential skills and techniques for safe and independent mobility for blind and partially sighted (BPS) people. The demand for O&M training is increasing as the number of people living with vision impairment increases. Despite the growing portfolio of HCI research on assistive technologies (AT), few studies have examined the experiences of BPS people during O&M training, including the use of technology to aid O&M training. To address this gap, we conducted semi-structured interviews with 20 BPS people and 8 Mobility and Orientation Trainers (MOT). The interviews were thematically analysed and organised into four overarching themes discussing factors influencing the self-efficacy belief of BPS people: Tools and Strategies for O&M training, Technology Use in O&M Training, Changing Personal and Social Circumstances, and Social Influences. We further highlight opportunities for combinations of multimodal technologies to increase access to and effectiveness of O&M training.

Most research which investigates stigma towards with people with disabilities and the use of Assistive Technology (AT) are based in the Global North and focus on the experiences of people with disabilities and the consequences that stigma has on choices surrounding AT. However, stigma is a societal construct rooted in the attitude and beliefs that people without disabilities hold on disability and AT. Furthermore, the portrayal of people with disabilities and AT is dependent on the social context. In this paper, we examine how young Kenyans without disabilities view people with disabilities and AT users. Findings show that while the portrayal of disability is often shaped by negative emotion, participants felt that many of the barriers affecting people with disabilities were created by society. Perceptions of AT differed –devices were not only seen as a mark of disability but also as a sign of access to resources. Therefore, what we see is an emergent picture where social barriers can be reinforced by poverty, and where poverty reinforces social barriers faced by people with disabilities. We conclude that access to appropriate technology alongside societal interventions tackling incorrect beliefs about disability can help to overcome the stigma faced by people with disabilities.

Interacting with natural environments such as parks and the countryside improves health and wellbeing. These spaces allow for exercise, relaxation, socialising and exploring nature, however, they are often not used by blind and partially sighted people (BPSP). To better understand the needs of BPSP for outdoor leisure experience and barriers encountered in planning, accessing and engaging with natural environments, we conducted an exploratory qualitative online survey (22 BPSP), semi-structured interviews (20 BPSP) and a focus group (9 BPSP; 1 support worker). We also explored how current technologies support park experiences for BPSP. Our findings identify common barriers across the stages of planning (e.g. limited accessible information about parks), accessing (e.g. poor wayfinding systems), engaging with and sharing leisure experiences. Across all stages (PLan, Access, Engage, Share) we found a common theme of Contribute. BPSP wished to co-plan their trip, contribute to ways of helping others access a place, develop multisensory approaches to engaging in their surroundings and share their experiences to help others. In this paper, we present the initial work supporting the development of a framework for understanding the leisure experiences of BPSP. We explore this theme of contribution and propose a framework where this feeds into each of the stages of leisure experience, resulting in the proposed, PLACES framework (PLan, Access, Contribute, Engage, Share), which aims to provide a foundation for future research on accessibility and outdoor leisure experiences for BPSP and people with disabilities.

Many computational toolkits to promote early learning of basic computational concepts and practices are inaccessible to learners with reduced visual abilities. We report on the design of TIP-Toy, a tactile and inclusive open-source toolkit, to allow children with different visual abilities to learn about computational topics through music by combining a series of physical blocks. TIP-Toy was developed through two design consultations with experts and potential users. The first round of consultations was conducted with 3 visually impaired adults with significant programming experience; the second one involved 9 children with mixed visual abilities. Through these design consultations we collected feedback on TIP-Toy, and observed children's interactions with the toolkit. We discuss appropriate features for future iterations of TIP-toy to maximise the opportunities for accessible and enjoyable learning experiences.

Innovations in the field of assistive technology are usually evaluated based on practical considerations related to their ability to perform certain functions. However, social and emotional aspects play a huge role in how people with disabilities interact with assistive products and services. Over a five months period, we tested an innovative wheelchair service provision model that leverages 3D printing and Computer Aided Design to provide bespoke wheelchairs in Kenya. The study involved eight expert wheelchair users and five healthcare professionals who routinely provide wheelchair services in their community. Results from the study show that both users and providers attributed great value to both the novel service delivery model and the wheelchairs produced as part of the study. The reasons for their appreciation went far beyond the practical considerations and were rooted in the fact that the service delivery model and the wheelchairs promoted core values of agency, empowerment and self-expression.

Living in informality is challenging. It is even harder when you have a mobility impairment. Traditional assistive products such as wheelchairs are essential to enable people to travel. Wheelchairs are considered a Human Right. However, they are difficult to access. On the other hand, mobile phones are becoming ubiquitous and are increasingly seen as an assistive technology. Should therefore a mobile phone be considered a Human Right? To help understand the role of the mobile phone in contrast of a more traditional assistive technology – the wheelchair, we conducted contextual interviews with eight mobility impaired people who live in Kibera, a large informal settlement in Nairobi. Our findings show mobile phones act as an accessibility bridge when physical accessibility becomes too challenging. We explore our findings from two perspective – human infrastructure and interdependence, contributing an understanding of the role supported interactions play in enabling both the wheelchair and the mobile phone to be used. This further demonstrates the critical nature of designing for context and understanding the social fabric that characterizes informal settlements. It is this social fabric which enables the technology to be useable.

80% of people with disabilities worldwide live in low resourced settings, rural areas, informal settlements and in multidimensional poverty. ICT4D leverages technological innovations to deliver programs for international development. But very few do so with a focus on and involving people with disabilities in low resource settings. Also, most studies largely focus on publishing the results of the research with a focus on the positive stories and not the learnings and recommendations regarding research processes. In short, researchers rarely examine what was challenging in the process of collaboration. We present reflections from the field across four studies. Our contributions are: (1) an overview of past work in computing with a focus on disability in low resource settings and (2) learnings and recommendations from four collaborative projects in Uganda, Jordan and Kenya over the last two years, that are relevant for future HCI studies in low resource settings with communities with disabilities. We do this through a lens of Disability Interaction and ICT4D.

Living in an informal settlement with a visual impairment can be very challenging resulting in social exclusion. Mobile phones have been shown to be hugely beneficial to people with sight loss in formal and high-income settings. However, little is known about whether these results hold true for people with visual impairment (VIPs) in informal settlements. We present the findings of a case study of mobile technology use by VIPs in Kibera, an informal settlement in Nairobi. We used contextual interviews, ethnographic observations and a co-design workshop to explore how VIPs use mobile phones in their daily lives, and how this use influences the social infrastructure of VIPs. Our findings suggest that mobile technology supports and shapes the creation of social infrastructure. However, this is only made possible through the existing support networks of the VIPs, which are mediated through four types of interaction: direct, supported, dependent and restricted.

For people who have a mobility impairment and find standard wheelchairs unsuitable, a shared-controlled approach could provide a potential mobility solution. However, state-of-the-art research on shared control wheelchairs mainly focus on static environments. In this paper, we present a hierarchical design for our shared-controlled wheelchair using a velocity-based approach together with probabilistic shared control (PSC). By modifying the collision avoidance element and model the robot-pedestrian interaction based on their physical distance, we extended the implementation of PSC to dynamic environments. Our approach was tested in a Unity3D based simulator with human participants. It achieved least number of collisions while obtaining relatively low computational cost and high user agreement comparing with other state-of-the-art methods.

Automatically monitoring and quantifying stress-induced thermal dynamic information in real-world settings is an extremely important but challenging problem. In this paper, we explore whether we can use mobile thermal imaging to measure the rich physiological cues of mental stress that can be deduced from a person's nose temperature. To answer this question we build i) a framework for monitoring nasal thermal variable patterns continuously and ii) a novel set of thermal variability metrics to capture a richness of the dynamic information. We evaluated our approach in a series of studies including laboratory-based psychosocial stress-induction tasks and real-world factory settings. We demonstrate our approach has the potential for assessing stress responses beyond controlled laboratory settings.

Measuring manual wheelchair activity by using wearable sensors is becoming increasingly common for rehabilitation and monitoring purposes. Until recently most research has focused on the identification of activities of daily living or on counting the number of strokes. However, how a person pushes their wheelchair - their stroke pattern - is an important descriptor of the wheelchair user's quality of movement. This paper evaluates the capability of inertial sensors located at different upper limb locations plus the wheel of the wheelchair, to classify two types of stroke pattern for manual wheelchairs: semicircle and arc. Data was collected using bespoke inertial sensors with a wheelchair fixed to a treadmill. Classification was completed with a linear SVM algorithm, and classification performance was computed for each sensor location in the upper limb, and then in combination with wheel sensor. For single sensors, forearm location had the highest accuracy (96%) followed by hand (93%) and arm (90%). For combined sensor location with wheel, best accuracy came in combination with forearm. These results set the direction towards a wearable wheelchair monitor that can measure the quality as well as the quantity of movement and which offers multiple on-body locations for increased usability.

Children with motor or cognitive impairments who require powered mobility at a very young age will face social and environmental barriers that make learning how to use the mobility device a challenging task. We present a first approach of a framework to help therapists and service providers to assess and monitor how children use their mobility device, which results from the combination of a plug and play inertial sensor, and the support of the Assessment Learning tool (ALP) from Nilsson and Durkin. We performed a formative study on four able-bodied children using an electric wheelchair. Results suggest it is possible to measure children's driving skills with this approach, and that results can be mapped to the validated ALP tool. We present the limitations of our study and the direction of future work.

Power assist devices help manual wheelchair users to propel their wheelchair thus increasing their independence and reducing the risk of upper limb injuries due to excessive use. These benefits can be invaluable for people that already have upper limb joint pain and reduced muscular strength. However, it is not clear if the way that assistance is provided by such devices is what manual wheelchair users need and expect. 12 manual wheelchair users were interviewed to understand: the situations in which they find it difficult to propel their wheelchairs; situations they considered paramount to have power assistance; their experience or knowledge of power assist devices; and likes and dislikes of commercially available power assist devices. Finally, they were asked to comment on their ideal form factor of a power assist device. Users have suggested improvements of the devices' accessibility and visualized new ways in which they could interact with the technology. These interactions involve "chairable" devices independent from, but not excluding, wearable devices and mobile applications. We have identified the need of monitoring emotions and the need for designing an open source do-it-yourself wheelchair propelling assistance device which we believe is required equally in developed and in developing countries.

Independent mobility is important for the self-esteem and well-being of people with mobility impairments. For people with severe disabilities, there is a body of research investigating how best to share control of motion between a person with disabilities and a "smart wheelchair". Traditionally in "shared control", the control law is a linear combination of the human's intended velocity and the path planner's velocity. However, this formulation of sharing control between a human and a machine does not guarantee safety on a theoretical level. To guarantee safety in formulating the blending of the human's input velocity and planner's velocity, we implement a practical form of probabilistic shared control formulated by Trautman. We tested this shared control by conducting experiments in a simulation where participants drive a wheelchair. The results of the experiment suggest probabilistic shared control has similar performance to linear blending in terms of significant reduction in number of collisions. However, for the sip-puff switch (a particularly difficult interface to use), probabilistic shared control yielded a greater reduction in collisions than linear blending.

Wheelchairs are the most widely used assistive device to aid activities of daily living (ADL) for disabled people. However, manual pushing of a wheelchair frequently leads to overuse of upper extremities causing shoulder pain and carpal tunnel syndrome. The purpose of this study was to test a novel method of estimating temporal parameters of wheelchair propulsion using inertial sensors. In this paper, normalized coordinate values of the vector defined on the upper arm were calculated from an inertial sensor attached on the upper arm. The number of strokes and push cycle timings including duration of propulsion and recovery phases were estimated for steady state wheelchair propulsion. This estimation was completed using a novel vector-based approach and a previously published resultant acceleration method; both were compared to timings measured using the SmartWheel. Measurements were performed on level and sloped surfaces with 10 able bodied subjects. The vector-based method improved estimation of the number of strokes when compared to the resultant acceleration method. However, the push cycle was estimated with better accuracy by the resultant acceleration method. Therefore, a combination of the vector-based and the resultant acceleration methods is proposed to ensure more accurate estimation of temporal parameters. The results suggest inertial sensors can be used to measure wheelchair activity accurately and reliably.