PIP Kit: An Exploratory Investigation into using Lifelogging to support Disability Benefit Claimants

Watson, Colin; Kirkham, Reuben; Kharrufa, Ahmed

doi:10.1145/3313831.3376215

Cited by 8 publications

(3 citation statements)

References 47 publications

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“…These frames could be available in a sandbox environment arranged by both chronological sequence of events and in narrative order, to allow for non-linear stories and multiple versions with different focus, granularity, or comments [64]. Recently, using life-logging with structured prompts and optional photos helped individuals build a case for disability benefits using storytelling to make sense of and synthesize cohesive evidence supporting their claim [120]. The lack of established guidelines in describing patient status in enigmatic conditions might ultimately empower patients to decide themselves what best represents their narrative, without expectations to follow a script.…”

Section: Constructing a Holistic Representation Of The Patient Illnesmentioning

confidence: 99%

Divided We Stand

Pichon

Schiffer

Horan

et al. 2021

Proc. ACM Hum.-Comput. Interact.

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In chronic conditions, patients and providers need support in understanding and managing illness over time. Focusing on endometriosis, an enigmatic chronic condition, we conducted interviews with specialists and focus groups with patients to elicit their work in care specifically pertaining to dealing with an enigmatic disease, both independently and in partnership, and how technology could support these efforts. We found that the work to care for the illness, including reflecting on the illness experience and planning for care, is significantly compounded by the complex nature of the disease: enigmatic condition means uncertainty and frustration in care and management; the multi-factorial and systemic features of endometriosis without any guidance to interpret them overwhelm patients and providers; the different temporal resolutions of this chronic condition confuse both patients and providers; and patients and providers negotiate medical knowledge and expertise in an attempt to align their perspectives. We note how this added complexity demands that patients and providers work together to find common ground and align perspectives, and propose three design opportunities (considerations to construct a holistic picture of the patient, design features to reflect and make sense of the illness, and opportunities and mechanisms to correct misalignments and plan for care) and implications to support patients and providers in their care work. Specifically, the enigmatic nature of endometriosis necessitates complementary approaches from human-centered computing and artificial intelligence, and thus opens a number of future research avenues.

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Section: Constructing a Holistic Representation Of The Patient Illnesmentioning

confidence: 99%

Divided We Stand

Pichon

Schiffer

Horan

et al. 2021

Proc. ACM Hum.-Comput. Interact.

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“…Whilst it is now possible to effectively track the number of strokes with a fitness tracker [19], tracking where someone has been can provide more detailed performance information: this is because it is more (or less) effort to traverse different types of surfaces [55]. For someone learning how to use a manual wheelchair, this could also be an indication of rehabilitation progress and/or increased skill/confidence in using the chair: notably measuring real-world skill and performance is an important part of wheelchair skills training [45,44] (as well as separately, the assessment of disability benefits which focus on the level of functional impairment [74]). Separately, rough surfaces increase harmful wholebody vibration, with a long-term negative effect upon health [22,76], so tracking the quality could also be useful for longitudinal healthcare studies of wheelchair users.…”

Section: Benefits Of Documenting Accessibility In the Built Environmentmentioning

confidence: 99%

Strategically using Applied Machine Learning for Accessibility Documentation in the Built Environment

Lange¹,

Kirkham²,

Tannert³

2021

Preprint

Self Cite

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There has been a considerable amount of research aimed at automating the documentation of accessibility in the built environment. Yet so far, there has been no fully automatic system that has been shown to reliably document surface quality barriers in the built environment in real-time. This is a mixed problem of HCI and applied machine learning, requiring the careful use of applied machine learning to address the real-world concern of practical documentation. To address this challenge, we offer a framework for designing applied machine learning approaches aimed at documenting the (in)accessibility of the built environment. This framework is designed to take into account the real-world picture, recognizing that the design of any accessibility documentation system has to take into account a range of factors that are not usually considered in machine learning research. We then apply this framework in a case study, illustrating an approach which can obtain a f-ratio of 0.952 in the best-case scenario.

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“…Indeed, the value of this exercise has illustrated the extent of the requirements involved in this process. From the perspective of disability itself, many people with disabilities are more likely to be in poverty, may not be able to aford assistive technology in general, and often have communication difculties [49]. In turn, this means extensive support and reasonable adjustments would be needed, further lengthening what is already a difcult and involved process.…”

Section: Providence and The Development Of Bespoke Atmentioning

confidence: 99%

Bespoke Reflections: Creating a One-Handed Braille Keyboard

Ellis

Vent

Kirkham

et al. 2020

Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility

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A plethora of assistive technologies are designed to cater to relatively common types of disabilities. However, some people have disabilities or circumstances that fall outside these pluralities, requiring a bespoke assistive technology to be developed and custom built to meet their unique requirements. To explore the opportunities and challenges of such an endeavor, we document the process undertaken to build a braille keyboard for a one-handed blind person over the course of 18-months. This process involved iterative prototyping within an intensive co-creation process, due to the unique needs arising from having two intersecting impairments and the challenges of efectively developing an entirely new format of AAT. Through a structured refection on this process, we provide an account of the practical, pragmatic and ethical considerations that apply when developing a bespoke assistive technology, whilst illustrating the wider value of bespoke assistive technology development for a more general community of people with disabilities. CCS CONCEPTS• Human-centered computing → Accessibility; Accessibility design and evaluation methods; Accessibility; Accessibility technologies.

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PIP Kit: An Exploratory Investigation into using Lifelogging to support Disability Benefit Claimants

Cited by 8 publications

References 47 publications

Divided We Stand

Divided We Stand

Strategically using Applied Machine Learning for Accessibility Documentation in the Built Environment

Bespoke Reflections: Creating a One-Handed Braille Keyboard

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