- From: Lachlan Hunt <lachlan.hunt@lachy.id.au>
- Date: Tue, 30 Jun 2009 20:16:55 +0200
- To: Shelley Powers <shelley.just@gmail.com>
- Cc: Ian Hickson <ian@hixie.ch>, public-html@w3.org
Shelley Powers wrote: >> There have been a number of public studies also. I believe in fact that in >> the case of summary="" the only numbers that we have published were based >> on publicly verifiable studies... > > Actually, those are not "studies", Ian. You and Philip accessed some > publicly accessing information found online, and ran some queries and > look at the data, and then formed your conclusions. In the interest of moving this discussion forward, rather than continuing to endlessly debate the usefullness of the observational data that has so far been gathered and presented, it would be useful to instead focus on how we can perform proper scientific studies of data that we can all agree on. The problem so far seems to be that different groups of people look at the current data we have and interpret it in vastly different ways. It is my hope that we can discuss and come up with an agreed upon methodology for collecting, studying and analysing the data and ultimately agreeing upon how to interpret the results. To get started, let's begin with the following hypothesis, that we can then break down into testable assertions, collect and analyse data, and then evaluate the result: Table summaries provided for non-layout tables using the summary attribute are useful in practice for users of assistive technology on a significant proportion of web sites, and such summaries would not significantly benefit users without assistive technology. We could just as well start with the hypothesis that it's not useful, but I went with the affirmative viewpoint so as to not appear as though I'm trying to sway the outcome with my own personal bias. Either way, the hypothesis will be either confirmed or rejected based on the study. If necessary, we can of course refine the hypothesis. From that, there are a number of individual testable assertions that can be derived and investigated: 1. It is possible to algorithmically detect layout tables as a means of filtering out useless summary attributes that can be automatically ignored by assistive technology. 2. In practice, a significant proportion of pages that provide summaries on non-layout tables do so with values that are generally useful to users of assistive technology that exposes the values. 3. Such summaries are generally not useful and do not contain essential information for users without assistive technology, and thus little would be gained by moving the summary from the attribute into the surrounding prose where it's available to everyone. (There may be other testable assertions that I missed) To determine which of those assertions are true and which are false, we need to gather data and analyse it. But first, we need to come to some agreement on how to proceed with collecting a representative sample of tables to study, but there are sure to be disagreements about which pages the sample should include. For example, should we cover a broad spectrum of sites randomly selected from any and all publicly accessible web sites; or should we restrict the study to specific genres of sites, such as educational websites, government websites, environmental reporting sites (e.g. meteorological, geological, etc.), economic sites, or other. Each of those genres I listed are likely to publish various forms of data tables, and I suspect it would be benefitial to look at those in isolation from other sites that are less likely to include data tables, like general news and blogs, social networking sites, etc. The question is which groups of sites should we study. Once we have come to an agreement on that, and collected the data, we will then need to sort out how exactly to analyse the raw data. This could involve, for instance, manually going through each of the pages and rating the usefulness of their summaries for various user groups, perhaps using some kind of likert scale. Or it could involve performing usability studies with groups of users with and without assitive technology. But rather than me trying to sort out all the details myself, I'd like to see if others are interested in this and encourage others to contribute constructively. -- Lachlan Hunt - Opera Software http://lachy.id.au/ http://www.opera.com/
Received on Tuesday, 30 June 2009 18:17:40 UTC