HyPR Device

Houben, Steven; Frost, Mads; Bardram, Jakob E.

doi:10.1145/2669485.2669502

Cited by 9 publications

(3 citation statements)

References 34 publications

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“…The combination proved successful also in collaborative content production using multi-layer digital information annotations [59,82], and enabled dynamic work-spaces such as displaying and modifying data on a blueprint [63]. [59,67,82] (b) [1,21,23,41,50], (c) [13,38], (d) [51] (e) [14,37,45,47,49,52,63, 76] (f) [18,38,39] (g) [40] (h) [2,7,16,21,22,47,61,64,76, 81] (i) [9] Fig. 2.…”

Section: Related Workmentioning

confidence: 99%

LightMeUp: Back-print Illumination Paper Display with Multi-stable Visuals

Campos

Kljun

Sandak³

et al. 2022

Proc. ACM Hum.-Comput. Interact.

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Despite the drive to digitise learning, paper still holds a prominent role within educational settings. While computational devices have several advantages over paper (e.g. changing and showing content based on user interaction and needs) their prolonged or incorrect usage can hinder educational achievements. In this paper, we combine the interactivity of computational devices with paper whilst reducing the usage of technology to the minimum. To this end, we developed and evaluated a novel back-print illumination paper display called LightMeUp where different information printed on the back side of the paper becomes visible when paper is placed on an interactive display and back-illuminated with a particular colour. To develop this novel display, we first built a display simulator that enables the simulation of various spectral characteristics of the elements used in the system (i.e. light sources such as tablet computers, paper types and printing inks). By using our simulator, we designed various use-case prototypes that demonstrate the capabilities and feasibility of the proposed system. With our simulator and use-cases presented, educators and educational content designers can easily design multi-stable interactive visuals by using readily available paper, printers and touch displays.

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Section: Related Workmentioning

confidence: 99%

LightMeUp: Back-print Illumination Paper Display with Multi-stable Visuals

Campos

Kljun

Sandak³

et al. 2022

Proc. ACM Hum.-Comput. Interact.

View full text Add to dashboard Cite

show abstract

“…It is thus not surprising that numerous concepts to merge the richness of paper interactions with the flexibility of digital content have been proposed, developed and explored [10]. A common coupling involves displaying digital information and commands (buttons, knobs and sliders) above the paper [11][12][13][14], on [15][16][17], besides [3,18] or beneath the paper [19][20][21][22]. Digital content can be displayed by either projecting it on and around paper, or by showing it on a nearby display.…”

Section: Introductionmentioning

confidence: 99%

The Hybrid Stylus: A Multi-Surface Active Stylus for Interacting with and Handwriting on Paper, Tabletop Display or Both

Campos

Sandak²,

Kljun

et al. 2022

Sensors

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The distinct properties and affordances of paper provide benefits that enabled paper to maintain an important role in the digital age. This is so much so, that some pen–paper interaction has been imitated in the digital world with touchscreens and stylus pens. Because digital medium also provides several advantages not available to physical paper, there is a clear benefit to merge the two mediums. Despite the plethora of concepts, prototypes and systems to digitise handwritten information on paper, these systems require specially prepared paper, complex setups and software, which can be used solely in combination with paper, and, most importantly, do not support the concurrent precise interaction with both mediums (paper and touchscreen) using one pen only. In this paper, we present the design, fabrication and evaluation of the Hybrid Stylus. The Hybrid Stylus is assembled with the infinity pencil tip (nib) made of graphite and a specially designed shielded tip holder that is attached to an active stylus. The stylus can be used for writing on a physical paper, while it still maintains all the features needed for tablet interaction. Moreover, the stylus also allows simultaneous digitisation of handwritten information on the paper when the paper is placed on the tablet screen. In order to evaluate the concept, we also add a user-friendly manual alignment of paper position on the underlying tablet computer The evaluation demonstrates that the system achieves almost perfect digitisation of strokes (98.6% of strokes were correctly registered with only 1.2% of ghost strokes) whilst maintaining excellent user experience of writing with a pencil on the paper.

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“…Many publicly available applications offer symptom tracking/logging functionalities8 or clinician-patient technologies9. In contrast to the numerous works in symptom loggers and clinician-patient technologies [185][186][187][188][189][190][191][192][193][194], there exists little research which explores patient matching. As we discussed in Chapter 3, many of these works propose patient matching to aid clinicians with the diagnosis of rare conditions [195][196][197][198].…”

Section: Prototype Implementationmentioning

confidence: 99%

Beyond Rare Disease Patients: Exploring Machine Learning Interventions To Support People Experiencing a Diagnostic Odyssey

Nielsen

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People with a rare condition face several hurdles throughout their odyssey to obtain a diagnosis. This odyssey lasts several years and involves frequent referrals and misdiagnoses, often resulting in permanent and severe consequences on patients’ health. In addition, patients feel unheard by their healthcare providers and isolated from their peers who ‘just don’t understand’. The UK Strategy for Rare Diseases states that patients can play a significant role in their diagnosis if given suitable resources. However, patients with rare diseases feel that they lack the support they need. This thesis explores the role that technology can have in addressing this gap in support.Within this context, this thesis spans a range of topics, from human-centred design approaches to generating data and presenting a new methodological approach. Through a human-centred approach, we characterise the needs of rare disease patients, thus opening the research space to include previously unmet support needs. In addition, we identify limitations with existing measures of success and highlight the importance of a reduction in the time of diagnosis for rare disease pre-diagnostic technology. This provides the basis the simulation-based methodological approach that we develop. The simulation-task aimed to mirror the information seeking tasks that rare disease patients undertake. To do this, we curate data that is representative of a rare disease patient’s perspective, both in terms of the terminology used and the stage in which symptoms and clinical findings are discovered. In addition, we curate a pre-diagnostic patient matching prototype that is designed around rare disease patients’ needs and demonstrate that (in comparison to two search engines) our application shows greater potential to: aid clinical experiences; facilitate empathetic support networks; and provide better facilitation of information-seeking. All of these contributions stem from a critical examination of the experiences that rare disease patients go through on their journeys towards diagnosis and aim to pave the way for future research within this area.

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HyPR Device

Cited by 9 publications

References 34 publications

LightMeUp: Back-print Illumination Paper Display with Multi-stable Visuals

LightMeUp: Back-print Illumination Paper Display with Multi-stable Visuals

The Hybrid Stylus: A Multi-Surface Active Stylus for Interacting with and Handwriting on Paper, Tabletop Display or Both

Beyond Rare Disease Patients: Exploring Machine Learning Interventions To Support People Experiencing a Diagnostic Odyssey

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