The text 2.0 framework

Biedert, Ralf; Buscher, Georg; Schwarz, Sven; Möller, Manuel; Dengel, Andreas; Lottermann, Thomas

doi:10.1145/2002333.2002351

Cited by 32 publications

(9 citation statements)

References 5 publications

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“…One prominent approach is to make eye gaze available in the Web environment to enrich the interaction means and augment the experience of users. The Text 2.0 framework [9] by Biedert et al describes a browser plugin that allows gaze-responsive Web pages, enhancing the traditional mouse-based interaction. The gaze-based interaction can be implemented by Web developers through a novel set of event handlers for Web page elements, e.g., onFixation, onGazeOver, and onRead.…”

Section: Gaze-controlled Web Browsingmentioning

confidence: 99%

“…(1) User is asked to go to tab overview (2) User is asked to add a new tab (3) User is asked to go to the Gmail.com via manually typing of the URL (4) User is asked to sign into Gmail.com 6) User is asked to select the first video (7) User is asked to pause the video (8) User is asked to play again the video (9) User is asked to close the tab with the YouTube page (10) End of dictated tasks…”

Section: A Interaction With Optikeymentioning

confidence: 99%

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Improving User Experience of Eye Tracking-Based Interaction

Menges

Kumar

Staab

2019

ACM Trans. Comput.-Hum. Interact.

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Eye tracking systems have greatly improved in recent years, being a viable and affordable option as digital communication channel, especially for people lacking fine motor skills. Using eye tracking as an input method is challenging due to accuracy and ambiguity issues, and therefore research in eye gaze interaction is mainly focused on better pointing and typing methods. However, these methods eventually need to be assimilated to enable users to control application interfaces. A common approach to employ eye tracking for controlling application interfaces is to emulate mouse and keyboard functionality. We argue that the emulation approach incurs unnecessary interaction and visual overhead for users, aggravating the entire experience of gaze-based computer access. We discuss how the knowledge about the interface semantics can help reducing the interaction and visual overhead to improve the user experience. Thus, we propose the efficient introspection of interfaces to retrieve the interface semantics and adapt the interaction with eye gaze. We have developed a Web browser, GazeTheWeb, that introspects Web page interfaces and adapts both the browser interface and the interaction elements on Web pages for gaze input. In a summative lab study with 20 participants, GazeTheWeb allowed the participants to accomplish information search and browsing tasks significantly faster than an emulation approach. Additional feasibility tests of GazeTheWeb in lab and home environment showcase its effectiveness in accomplishing daily Web browsing activities and adapting large variety of modern Web pages to suffice the interaction for people with motor impairment.

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Section: Gaze-controlled Web Browsingmentioning

confidence: 99%

Section: A Interaction With Optikeymentioning

confidence: 99%

Improving User Experience of Eye Tracking-Based Interaction

Menges

Kumar

Staab

2019

ACM Trans. Comput.-Hum. Interact.

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“…Adele is a e-learning suite that allows synchronisation of eye tracking data with course material [29]. Text 2.0 [9] and Eyebook [8] are two frameworks for web browsers designed to provide interactive feedback to gaze data. These two systems, along with that presented by [16], can distinguish between skimmed versus read text.…”

Section: Related Workmentioning

confidence: 99%

PeyeDF: an Eye-Tracking Application for Reading and Self-Indexing Research

Filetti¹,

Tavakoli²,

Ravaja³

2019

Preprint

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PeyeDF is a Portable Document Format (PDF) reader with eye tracking support, available as free and open source software. It is especially useful to researchers investigating reading and learning phenomena, as it integrates PDF reading-related behavioural data with gaze-related data. It is suitable for short and longterm research and supports multiple eye tracking systems. We utilised it to conduct an experiment which demonstrated that features obtained from both gaze and reading data collected in the past can predict reading comprehension which takes place in the future. PeyeDF also provides an integrated means for data collection and indexing using the DiMe personal data storage system. It is designed to collect data in the background without interfering with the reading experience, behaving like a modern lightweight PDF reader. Moreover, it supports annotations, tagging and collaborative work. A modular design allows the application to be easily modified in order to support additional eye tracking protocols and run controlled experiments. We discuss the implementation of the software and report on the results of the experiment which we conducted with it.

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“…We transfer this concept to the application domain of sustainability reporting, assuming that the users' acceptance as well as, in the long run, the companies' acceptance of SR can be improved by augmenting the contents of the reports. This assumption will be further investigated in the comparative evaluation of an ASR against a traditional SR. Figure 2 illustrates the IT architecture for the implementation of an ASR that was designed following the Text 2.0 Framework (Biedert et al, 2010). The ASR is displayed via the user's web browser which is extended by an augmented SR plugin.…”

Section: Designmentioning

confidence: 99%

Augmented Sustainability Reports: A Design Science Approach

Freundlieb¹,

Teuteberg²

2012

THCI

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Sustainability reports provide stakeholders with information about a company's efforts to balance its economic, ecological and social goals. Because of their influence on a company's image as well as on the customers' buying and shareholders' investment decisions, sustainability reports are an integral part of today's corporate online communication.Following a design science research approach, this paper describes the design, prototypical implementation and evaluation of augmented sustainability reports. In contrast to traditional PDF-or print media-based sustainability reports, augmented sustainability reports contain multimedia contextual information that is displayed depending on the user's gaze position. In our prototype the gaze position is simulated using mouse tracking. The comparative evaluation of the prototype was conducted via a quantitative questionnaire based on the technology acceptance model (TAM). Additionally, qualitative feedback was gathered during the course of the evaluation. Traditional and augmented sustainability reports were compared on the basis of the questionnaire results which reveal room for improvement of the prototype as well as possible starting points for future research.Overall, the evaluation results indicate that our test users had a strong preference for the augmented sustainability report compared to the PDF-based report even though both alternatives had identical content.

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The text 2.0 framework

Cited by 32 publications

References 5 publications

Improving User Experience of Eye Tracking-Based Interaction

Improving User Experience of Eye Tracking-Based Interaction

PeyeDF: an Eye-Tracking Application for Reading and Self-Indexing Research

Augmented Sustainability Reports: A Design Science Approach

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