Distinguishable interfaces for the use of computer graphics.

Although the metaphor is in the form of a desktop , it does not matter which way it works. distinguishable appearance is also required. They have shown that they have a great deal of experience in finding their personal computers, even if they have created the same day. [1] Search engines do not always help, since it has been found that users often know of the existence of a search engine. On the contrary, people appear to incrementally search for files using some form of context. [2]

Recently researchers and web developers have argued that the problem is one of lack of distinction. This problem rarely occurs in the real world, where both objects and locations generally have a distinctive appearance. Discriminability Was one of the recommendations in the recommendation ISO 9241-12 is presentation of information is visual displays (part of the overall delay is Ergonomics of Human System Interaction ) HOWEVER It was ASSUMED en ce que cette postponement That Would Be Achieved by manual design of graphical symbols.

VisualIDs, semanticons, and identicons

The mass availability of computer graphics supports the introduction of the “visual hardware” approach, by providing individual files and other abstract data with distinguishable appearance. This idea is only available in English. VisualIDs [3] and Semanticons [4] works, but the web community has similarly developed identities .

The VisualIDs project [3] [5] automatically generated icons for files or other data was based hash of the data to identify, so the icons HAD no relation to the content or meaning of the data. It was argued not only That Generating Meaningful icons is Unnecessary [6] (Their user study Showed rapid learning of the arbitrary icons), goal aussi That basing icons are happy is Actually incorrect [7] ( “contrasting visualization with visual identifiers” [3 ] ).

The Semanticons project [4] [8] developed by Setlur et al. demonstrated an algorithm to create icons that reflect the content of files. In this work the name, location and content of a file are parsed and used to retrieve related image (s) from an image database. These are then processed using a non-photorealistic rendering technique in order to generate graphical icons.

Developer Don Park introduced the identicon library for making a visual icon. This initial public implementation has a large number of implementations for various environments. In particular, identicons are tout être sont una visible de l’identifier de l’avatar (avatars) for several widely used systems. They are also used as a supplement to Gravatars , which are pre-existing avatar images created or chosen by users, instead of automatically generated images. (see #External links ).

Current research

While current web practice has been approached by Semantics-free approach of VisualIDs, Semanticons. Examples include the use of intelligent data generation and the creation of “intelligent icons” that reflect the contents of files [9]and creating icons for music files that reflect audio characteristics [10] or affective content. [11]

See also

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  1. Jump up^ Law Society, Deborah; Bonnie A. Nardi (1995), “Finding and reminding: file organization from the desktop”, SIGCHI Bulletin , 27 (3): 647-656
  2. Jump up^ Teevan, Jaime; Christine Alvarado; Mark S. Ackerman; David R. Karger (2004), “The Perfect Search Engine Is Not Enough: A Study of Orienteering Behavior in Directed Search,” CHI conference
  3. ^ Jump up to:c Lewis, JP; Ruth Rosenholtz; Nickson Fong; Ulrich Neumann (2004), “Visual IDs: Automatic Distinctive Icons for Desktop Interfaces”, ACM Transactions on Graphics , 23 (3)
  4. ^ Jump up to:b Setlur, Vidya; Conrad Albrecht-Buehler; Amy A. Gooch ; Sam Rossoff; Bruce Gooch (2005), “Semanticons: Visual Metaphors as File Icons”, Computer Graphics Forum , 24 (3): 647-656, doi : 10.1111 / j.1467-8659.2005.00889.x
  5. Jump up^ Kanellos, Michael. “Cnet News: Navigating PCs with pictures, not words”. Retrieved 26 December 2010 .
  6. Jump up^ Lewis, JP, VisualIDs: FAQ , retrieved 19 March 2013
  7. Jump up^ Lewis, JP, VisualIDs: FAQ , retrieved 19 March 2013
  8. Jump up^ Piquepaille, Roland. “ZDNET: Semanticons revealing the meaning of files”. Retrieved 26 December 2010 .
  9. Jump up^ Keogh, Eamonn; Li Wei; Xiaopeng Xi; Stephano Lonardi; Jin Shieh; Scott Sirowy (2006), “Intelligent Icons: Integrating Lite-Weight Data Mining and Visualization into GUI Operating Systems”, ICDM
  10. Jump up^ Kolhoff, Phillipp; Jacqueline Preuss; Jörn Lovisach (2008), “Content-based icons for music files”, Computers & Graphics , 32 (5)
  11. Jump up^ Kim, Hyun-Ju; Min-joon Yoo; Ji-yong Kwon; In-kwon Lee (2009), “Generating affective music icons in the emotion plane”, CHI conference