Download A Guide to Visual Multi-Level Interface Design from by Heidi Lam, Tamara Munzner PDF

By Heidi Lam, Tamara Munzner

ISBN-10: 1608455920

ISBN-13: 9781608455928

Showing a number of degrees of knowledge visually has been proposed to deal with the problem of constrained monitor area. even supposing many past empirical reports have addressed diversified facets of this question, the data visualization examine neighborhood doesn't at present have a sincerely articulated consensus on how, whilst, or maybe if showing facts at a number of degrees is valuable. To shed extra gentle in this complicated subject, we performed a scientific evaluate of twenty-two latest multi-level interface stories to extract high-level layout instructions. To facilitate dialogue, we forged our research findings right into a four-point determination tree: (1) whilst are multi-level monitors helpful? (2) What may still the better visible degrees exhibit? (3) should still the various visible degrees be displayed at the same time, or separately? (4) should still the visible degrees be embedded in one exhibit, or separated into a number of monitors? Our research led to 3 layout instructions: (1) the variety of degrees in exhibit and information may still fit; (2) excessive visible degrees should still in simple terms exhibit task-relevant details; (3) simultaneous show, instead of temporal switching, is appropriate for projects with multi-level solutions. desk of Contents: creation / Terminology / technique / precis of stories / selection 1: unmarried or Multi-level Interface? / choice 2: the best way to Create the High-Level screens? / determination three: Simultaneous or Temporal screens of the a number of visible degrees / selection four: the way to Spatially organize the visible degrees, Embedded or Separate? / boundaries of analysis / layout thoughts / dialogue and destiny paintings

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Additional resources for A Guide to Visual Multi-Level Interface Design from Synthesis of Empirical Study Evidence

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This advantage manifested in faster performance times in tasks where participants were required to search for information contained in the function declarations throughout the entire source code. 2 FILTERING MAY CAUSE DISORIENTATION AND DISTRUST However, automatic filtering may be a double-edged sword, as filtering may result in disorientation and distrust of the automatic selection algorithm. The embedded interface in [eDoc] preserved readability only for the most important part of the document, with content importance determined by the interface a priori Hornbæk and Frokjær [2001], Hornbæk et al.

Task Answer Location Papers High level [Fishnet] Baudisch et al. [2004] [ElideSrc] Cockburn and Smith [2003] [BigOnSmall] Gutwin and Fedak [2004b] [SumThum] Lam and Baudisch [2005] [LineGr] Lam et al. [2007] [Snap] North and Shneiderman [2000] [TimeGr] Saraiya et al. [2005] Both high level and [eDoc] Hornbæk and Frokjær [2001]; low level Hornbæk et al. [2003] [FishSrc] Jakobsen and Hornbæk [2006] displayed in their loLevel Linear interface was irrelevant to the Outdated task. Since their separate overview and their embedded Fishnet interfaces concentrated these task-relevant semantic highlights in their high-level displays, the two multi-level interfaces outperformed their loLevel interface for this task.

FishSrc] studied displaying program source code using a fisheye interface Jakobsen and Hornbæk [2006]. Automatic and semantically selected readable context in their embedded interface avoided the need to manually search for function declarations in the entire source code. This advantage manifested in faster performance times in tasks where participants were required to search for information contained in the function declarations throughout the entire source code. 2 FILTERING MAY CAUSE DISORIENTATION AND DISTRUST However, automatic filtering may be a double-edged sword, as filtering may result in disorientation and distrust of the automatic selection algorithm.

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A Guide to Visual Multi-Level Interface Design from Synthesis of Empirical Study Evidence by Heidi Lam, Tamara Munzner


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