Improving Web Usability with the Link Lens

Abstract A number of factors may influence Web users' choice of which links to follow. These include assumptions about document quality and anticipated retrieval times. The present generation of World Wide Web browsers, however, provide only minimal support to assist users in making informed decisions. Web browser `link user interfaces' typically only display a document's Universal Resource Locator (URL), whilst a simple binary colour change in the URL's anchor is used to indicate its activation history. The question then is, how do users deal with the problem of having to make such decisions when the information at hand is insufficient? We have been conducting an investigation of how users make link selections.The results show users often are forced to fall back on heuristics and improvising strategies drawn from past experience. Based upon these results, we present a prototype of the `link lens', an enhanced link user interface designed to make such decisions easier and more productive for all users and help less experienced ones gain a better understanding of Web behaviour.

[1]  Harri Oinas-Kukkonen,et al.  Fourth generation hypermedia: some missing links for the World Wide Web , 1997, Int. J. Hum. Comput. Stud..

[2]  Paul Dourish,et al.  Accounting for system behavior: representation, reflection, and resourceful action , 1997 .

[3]  Maureen C. Stone,et al.  The movable filter as a user interface tool , 1994, CHI '94.

[4]  Ben Shneiderman,et al.  Designing The User Interface , 2013 .

[5]  Michael S. Borella,et al.  Internet delay effects: how users perceive quality, organization, and ease of use of information , 1997, CHI Extended Abstracts.

[6]  Jakob Nielsen,et al.  Hypertext and hypermedia , 1990 .

[7]  C WrightPeter,et al.  The use of think-aloud evaluation methods in design , 1991 .

[8]  Mark Rosenstein,et al.  Recommending and evaluating choices in a virtual community of use , 1995, CHI '95.

[9]  Chris W. Johnson Reports from Working Groups: The Challenge of Time , 1995, DSV-IS.

[10]  Philippe A. Palanque,et al.  Design, specification, and verification of interactive systems , 2001, SOEN.

[11]  Peter C. Wright,et al.  The use of think-aloud evaluation methods in design , 1991, SGCH.

[12]  William C. Treurniet,et al.  The effects of feedback during delays in simulated teletext reception , 1988 .

[13]  Chris W. Johnson Time and the Web: Representing and Reasoning about Temporal Properties of Interaction with Distributed Systems , 1996, BCS HCI.

[14]  Alan J. Dix The Myth of the Infinitely Fast Machine , 1987, BCS HCI.

[15]  Rob Procter,et al.  Social Affordances and Implicit Ratings for Social Filtering on the Web , 1997 .

[16]  David E. Kieras,et al.  The Role of a Mental Model in Learning to Operate a Device. , 1984 .

[17]  Stephen W. Draper,et al.  How machine delays change user strategies , 1996, SGCH.

[18]  William Buxton,et al.  A taxonomy of see-through tools , 1994, CHI '94.

[19]  Marti A. Hearst TileBars: visualization of term distribution information in full text information access , 1995, CHI '95.

[20]  Jennifer Preece,et al.  A psychological investigation of long retrieval times on the World Wide Web , 1998, Interact. Comput..

[21]  Alex Paul Conn,et al.  Time affordances: the time factor in diagnostic usability heuristics , 1995, CHI '95.