Xref: utzoo alt.hypertext:802 comp.cog-eng:1913 comp.graphics:17018 comp.multimedia:269 comp.software-eng:5228 Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!usc!elroy.jpl.nasa.gov!decwrl!amdcad!jetsun!pyramid!athertn!hemlock!mcgregor From: mcgregor@hemlock.Atherton.COM (Scott McGregor) Newsgroups: alt.hypertext,comp.cog-eng,comp.graphics,comp.multimedia,comp.software-eng Subject: Re: Images vs. Text Message-ID: <34941@athertn.Atherton.COM> Date: 2 Apr 91 22:56:29 GMT References: <10292@pitt.UUCP> Sender: news@athertn.Atherton.COM Reply-To: mcgregor@hemlock.Atherton.COM (Scott McGregor) Followup-To: alt.hypertext Distribution: na Organization: Atherton Technology -- Sunnyvale, CA Lines: 90 In article <10292@pitt.UUCP>, grefen@sun14.cs.pitt.edu (Gregory Grefenstette) writes: >I'm doing work on hypertext visual interfaces and I >would like to be able to prove what seems evident to me, >that is, that people can scan information presented >in a visual image-based form FASTER than in a plain >textual form. I think I understand what you mean, but how you state your hypothesis probably oversimplifies a key point. Visual image information has more degrees of freedom in conveying information in a limited area of constant size, vs. text. It is therefore conceptually possible to convey more information in that limited area using visual means than textual means. One important difference is that text is read sequentially, whereas a visual image may be processed more holistically. In this respect a viewer may get the "big picture" faster than the reader, but apprehending all the small visual specifics in detail might take as much time as the reading the text. But it might seem faster to the viewer since they get some benefit sooner. (For instance, looking at a sales graph might quickly get across the general trend and some notion of the variation from month to month, but finding the exact amounts for each month in a graph could take as long or longer than referring to a table). The notion of greater degrees of freedom giving the *capability* for greater information density is important because whether that capability is turned into to a real difference is dependent upon the skill of the visual designer. A bad visual design may actually convey less information or take longer to convey it than a textual representation. (E.g. a graph of the %change in monthly growth of sales actually visually obsures information about the absolute values of sales). Obviously, bad textual representations can also obscure information, but it seems that given present educational systems in the US, people have more practice developing writing skills than visual design skills before coming to the job market. So it is important in addressing the superiority of visual presentation to textual to consider the backgrounds of the producers. This is one of the reasons why companies are often surprised when they use "graphics, icons, windows..." in their designs but people don't necessarily find them easy to use--often the people making the selection of the "graphics, icons, and window" weren't trained visual designers but just garden variety software developers. Meanwhile, another company with trained designers may make a big splash with their UI, composed of the same graphics, icons and window primitives but arrayed in a more thoughtful manner by experienced visual designers, (often even despite a poorer underlying representation created by less skilled programmers). An additional complication is that considerable information can be apprehended not by explicit mention in the text, or visual display but by a conventional reference to a body of widely known information. This information can thus be elicited rather than directly conveyed, but the effect on information density is effectively the same. The CYC project at MCC, and other investigations into natural language processing and "common sense" reasoning are applicable here. Much of this work is specifically aimed at linguistic (typically textual) elucidation of conventional wisdom I am not aware of any similar studies of this effect for visual information conventions though conventional use of principles of composition, color theory, and contrast theory is widely known and discussed in depth in Tufte. > But having little psych or human factors background, > I don't know of any references that I > could use, or even where to begin looking. With little HCI background, you might want to start with some things that are more accessible to the layman, such as Edward Tufte's book the "Visual Display of Quantitative Information", or his other book, "Envisioning Information". Don Norman's book, the "Psychology of Everyday Things", also has some useful lay information on the cognitive limitation of human perception. Another accessible and relevant book for the layman is "How to Lie with Statistics". The Tufte books are filled with useful references to more technical references, and you may also find the various publications of and conference proceedings sponsored by ACM SIGCHI society to be of use to you. A reference librarian should be able to help you find any of these books or journals and to narrow your search to particular domains of interest. You might also find information on this sort of thing in other related areas, such as statistics. For instance, I gave a paper on applying principles of graphic design to the creation of business graphics was presented at a Statistical Analysis System (SAS) Users Group International (aka SUGI) conference many years ago. You might find other nuggets of information of this sort in various proceedings of such conferences. Again a refernce librarian should be of help. Scott McGregor Atherton Technology