The NiCE Discussion Room

Haller, Michael; Leitner, Jakob; Seifried, Thomas; Wallace, James R.; Scott, Stacey D.; Richter, Christoph; Brandl, Peter; Gokcezade, Adam; Hunter, Seth

doi:10.1145/1753326.1753418

Cited by 81 publications

(10 citation statements)

References 26 publications

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“…Given the naturalness of the medium [47,11], pen-based interfaces have seen enduring interest in both the graphics and HCI literature [50]. Ever since Ivan Sutherland's Sketchpad [51] researchers have explored sensing and input techniques for small screens [27,57], tablets [23,40] and whiteboards [36,39,56] and have proposed ways of integrating paper with digital media [21,6]. Furthermore many domain specific applications have been proposed.…”

Section: Pen-based Interactionmentioning

confidence: 99%

DeepWriting

Aksan

Pece

Hilliges

2018

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

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Figure 1: We propose a novel generative neural network architecture that is capable of disentangling style from content and thus makes digital ink editable. Our model can synthesize handwriting from typed text while giving users control over the visual appearance (A), transfer style across handwriting samples (B, solid line box synthesized stroke, dotted line box reference style), and even edit handwritten samples at the word level (C). ABSTRACTDigital ink promises to combine the flexibility and aesthetics of handwriting and the ability to process, search and edit digital text. Character recognition converts handwritten text into a digital representation, albeit at the cost of losing personalized appearance due to the technical difficulties of separating the interwoven components of content and style. In this paper, we propose a novel generative neural network architecture that is capable of disentangling style from content and thus making digital ink editable. Our model can synthesize arbitrary text, while giving users control over the visual appearance (style). For example, allowing for style transfer without changing the content, editing of digital ink at the word level and other application scenarios such as spell-checking and correction of handwritten text. We furthermore contribute a new dataset of handwritten text with fine-grained annotations at the character level and report results from an initial user evaluation.

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Section: Pen-based Interactionmentioning

confidence: 99%

DeepWriting

Aksan

Pece

Hilliges

2018

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

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“…It should be noted that the amenability of tangible interfaces for collaborative work has made them promising tools for facilitating collaboration over long distances by augmenting teleconferencing (see for example Bouabid et al, 2014;Gonzalez-Franco et al, 2015), and for strengthening communications in co-Foro de Educación, v. 14, n. 20, enero-junio 2016, pp. 305-325. e-ISSN: 1698-7802 located meetings by means of smart boards and digital Post-It notes (see for example Haller et al, 2010). MIT Media Lab's inFORM is a dynamic shape display that can render 3D content physically, so users can interact with the physical world around it, for example moving objects on the table's surface (Leithinger et al, 2014).…”

Section: Tangibles and Collaborationmentioning

confidence: 99%

Citizen Engagement through Tangible Data Representation

Jofre

Szigeti

Diamond³

2016

FdE

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We begin with the premise that data literacy is a fundamental facet of citizen education in this information age, and that an engaged citizenry in a democracy not only requires access to data, but also the capacity to manipulate and examine the data from multiple perspectives. The visualization of data elucidates trends and patterns in the phenomena that the data represents, and opens accessibility to understanding complicated human and natural processes represented by data sets. Research indicates that interacting with a visualization amplifies cognition and analysis. A single visualization may show only one facet of the data. To examine the data from multiple perspectives, engaged citizens need to be able to construct their own visualizations from a data set. Many tools for data visualization have responded to this need, allowing non-data experts to manipulate and gain insights into their data, but most of these tools are restricted to the computer screen, keyboard, and mouse. Cognition and analysis may be strengthened even more through embodied interaction with data. We present here the rationale for the design of a tool that allows users to probe a data set, through interactions with graspable (tangible) three-dimensional objects, rather than through a keyboard and mouse interaction. We argue that the use of tangibles facilitates understanding abstract concepts, and facilitates many concrete learning scenarios. Another advantage of using tangibles over screen-based tools is that they foster collaboration, which can promote a productive working and learning environment. We speculate that collaborative data exploration can be a productive educational activity for citizens in their communities and in the classroom, and we suggest our tool as a means to do this.

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“…They previously have included multi-touch, gestural, and virtual keyboard input, but newer prototypes now include pen input as well (Block et al, 2008;Brandl et al, 2008;Haller et al, 2010;Leitner et al, 2009;Liwicki and El-Neklawy, 2009). Tabletop interaction and interfaces have represented a very active area of research.…”

Section: Tangible Ubiquitous and Wearable Multimodal Interfacesmentioning

confidence: 99%

The Paradigm Shift to Multimodality in Contemporary Computer Interfaces

Oviatt¹,

Cohen²

2015

Synthesis Lectures on Human-Centered Informatics

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Human-Centered Informatics (HCI) is the intersection of the cultural, the social, the cognitive, and the aesthetic with computing and information technology. It encompasses a huge range of issues, theories, technologies, designs, tools, environments, and human experiences in knowledge work, recreation and leisure activity, teaching and learning, and the potpourri of everyday life. The series publishes state-of-the-art syntheses, case studies, and tutorials in key areas. It shares the focus of leading international conferences in HCI.

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The NiCE Discussion Room

Cited by 81 publications

References 26 publications

DeepWriting

DeepWriting

Citizen Engagement through Tangible Data Representation

The Paradigm Shift to Multimodality in Contemporary Computer Interfaces

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