Freeform User Interfaces for Graphical Computing

報告番号: 甲15222 ; 学位授与年月日: 2000-03-29 ; 学位の種別: 課程博士 ; 学位の種類: 博士(工学) ; 学位記番号: 博工第4717号 ; 研究科・専攻: 工学系研究科情報工学専

Embodied memory and curatorship in children’s digital video production

Digital video production in schools is often theorised, researched and written about in two ways: either as a part of media studies practice or as a technological innovation, bringing new, “creative”, digital tools into the curriculum. Using frameworks for analysis derived from multimodality theory, new literacy studies and theories of embodied identity, this study examines a video production made by two children who were taking part in a video project on the theme of self-representation and identity. Evidence was collected in the form of production notes, video interviews and the media text itself. The findings suggest that this way of working in new media can be thought of as a new literacy practice, metaphorically conceived as a form of “curatorship” of children’s own lives in the uses of multimodal editing tools for the intertextual organisation of digital media assets and their subsequent exhibition to peer groups and beyond

Gesture-Based Input for Drawing Schematics on a Mobile Device

We present a system for drawing metro map style schematics using a gesture-based interface. This work brings together techniques in gesture recognition on touch-sensitive devices with research in schematic layout of networks. The software allows users to create and edit schematic networks, and provides an automated layout method for improving the appearance of the schematic. A case study using the metro map metaphor to visualize social networks and web site structure is described

Signs of Morality in David Bowie's "Black Star" Video Clip

“Black Star” music video was released two days before Bowie’s death. It bears various implications of dying and the notion of mortality is both literal and metaphorical. It is highly autobiographical and serves as a theatrical stage for Bowie to act both as a music performer and as a self-conscious human being. In this paper, we discuss the signs of mortality in Bowie’s “Black Star” music video-clip. We focus on video’s cinematic techniques and codes, on its motivic elements and on its narrative in relation with music, lyrics, characters, and gestures. We also discuss the video’s intertextual references and the broader signification of the black star figure. We adopt a quasi-semiotic approach considering “Black Star” music video-clip as a text which can be investigated through its signs, codes, and conventions of the musical, visual, and cinematic languages as well. Our interdisciplinary tools derive from visual semiotics and audiovisual analysis models, without leaving outside Bowie’s musical-artistic and personal history. As it turns out, Bowie created a video clip that is philosophical in nature and poetic in structure, preserving the role of protagonist. With the visuals creating a psychedelic atmosphere, the lyrics often are heard as a personal confession. They both generate cognitive and emotional responses that influence the way the viewers-listeners may experience, decompose, and interpret Bowie’s artistic endeavor bridging life and death

Contex-aware gestures for mixed-initiative text editings UIs

This is a pre-copyedited, author-produced PDF of an article accepted for publication in Interacting with computers following peer review. The version of record is available online at: http://dx.doi.org/10.1093/iwc/iwu019[EN] This work is focused on enhancing highly interactive text-editing applications with gestures. Concretely, we study Computer Assisted Transcription of Text Images (CATTI), a handwriting transcription system that follows a corrective feedback paradigm, where both the user and the system collaborate efficiently to produce a high-quality text transcription. CATTI-like applications demand fast and accurate gesture recognition, for which we observed that current gesture recognizers are not adequate enough. In response to this need we developed MinGestures, a parametric context-aware gesture recognizer. Our contributions include a number of stroke features for disambiguating copy-mark gestures from handwritten text, plus the integration of these gestures in a CATTI application. It becomes finally possible to create highly interactive stroke-based text-editing interfaces, without worrying to verify the user intent on-screen. We performed a formal evaluation with 22 e-pen users and 32 mouse users using a gesture vocabulary of 10 symbols. MinGestures achieved an outstanding accuracy (<1% error rate) with very high performance (<1 ms of recognition time). We then integrated MinGestures in a CATTI prototype and tested the performance of the interactive handwriting system when it is driven by gestures. Our results show that using gestures in interactive handwriting applications is both advantageous and convenient when gestures are simple but context-aware. Taken together, this work suggests that text-editing interfaces not only can be easily augmented with simple gestures, but also may substantially improve user productivity.This work has been supported by the European Commission through the 7th Framework Program (tranScriptorium: FP7- ICT-2011-9, project 600707 and CasMaCat: FP7-ICT-2011-7, project 287576). It has also been supported by the Spanish MINECO under grant TIN2012-37475-C02-01 (STraDa), and the Generalitat Valenciana under grant ISIC/2012/004 (AMIIS).Leiva, LA.; Alabau, V.; Romero Gómez, V.; Toselli, AH.; Vidal, E. (2015). Contex-aware gestures for mixed-initiative text editings UIs. Interacting with Computers. 27(6):675-696. https://doi.org/10.1093/iwc/iwu019S675696276Alabau V. Leiva L. A. Transcribing Handwritten Text Images with a Word Soup Game. Proc. Extended Abstr. Hum. Factors Comput. Syst. (CHI EA) 2012.Alabau V. Rodríguez-Ruiz L. Sanchis A. Martínez-Gómez P. Casacuberta F. 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Drawing flowcharts on touch-enabled devices

Users benefit from being able to draw flowcharts directly on touch-enabled devices without the hassle of dropdown menus for shape selection or operations to adjust shapes and sizes of drawn objects. This disclosure automatically creates shape elements that match a user’s intention based on the drawing positions, shapes, sizes of strokes, etc. Beautified versions of a user’s drawing strokes are generated and used to replace the strokes. Using the techniques of this disclosure, the touch device intelligently distinguishes between drawing positions, shapes, and handwriting. The techniques distinguish shape from handwriting text and eliminates interruptions to user workflow due to the need to switch between shape mode and text mode