User modeling

About: User modeling is a research topic. Over the lifetime, 10701 publications have been published within this topic receiving 278012 citations.

Programmable user models for predictive evaluation of interface designs

Abstract: A Programmable User Model (PUM) is a psychologically constrained architecture which an interface designer is invited to program to simulate a user performing a range of tasks with a proposed interface. It provides a novel way of conveying psychological considerations to the designer, by involving the designer in the process of making predictions of usability. Development of the idea leads to a complementary perspective, of the PUM as an interpreter for an “instruction language”. The methodology used in this research involves the use of concrete HCI scenarios to assess different approaches to cognitive modelling. The research findings include analyses of the cognitive processes involved in the use of interactive computer systems, and a number of issues to be resolved in future cognitive models.

System and method for compounded marketing

Abstract: A system and method to facilitate computer-based commerce is presented. The system may including a module to facilitate communicating a vendor offering to a user if the offering is within a category designated by the user as being acceptable for receipt of such offering. The acceptable categories may be stored in user profiles, a user profile being updated when the user chooses to add or remove an interest category. When a vendor offering is received, the offering is categorized and stored in an offerings database. The vendor offering is then matched with a category in the user profile When the vendor offering is communicated to the user, the user's address or the user's identity is not revealed to the vendor. If a user chooses to propagate a vendor offering to another user, the user may be entitled to a reward. The reward may be designated to the user or to a third party. A spam control module may also be provided to identify spam complaints and to take actions in response to the spam complaints.

Building user interfaces by direct manipulation

Abstract: User interfaces based on mice, bitmap displays and windows are becoming commonplace, and there are guidelines on how such interfaces should function [Apple 85]. As a consequence, there is a growing expectation that all programs, no matter how trivial or how complicated, should present a graphically elegant and sophisticated user interface.

Page quality: in search of an unbiased web ranking

Abstract: In a number of recent studies [4, 8] researchers have found that because search engines repeatedly return currently popular pages at the top of search results, popular pages tend to get even more popular, while unpopular pages get ignored by an average user. This "rich-get-richer" phenomenon is particularly problematic for new and high-quality pages because they may never get a chance to get users' attention, decreasing the overall quality of search results in the long run. In this paper, we propose a new ranking function, called page quality that can alleviate the problem of popularity-based ranking. We first present a formal framework to study the search engine bias by discussing what is an "ideal" way to measure the intrinsic quality of a page. We then compare how PageRank, the current ranking metric used by major search engines, differs from this ideal quality metric. This framework will help us investigate the search engine bias in more concrete terms and provide clear understanding why PageRank is effective in many cases and exactly when it is problematic. We then propose a practical way to estimate the intrinsic page quality to avoid the inherent bias of PageRank. We derive our proposed quality estimator through a careful analysis of a reasonable web user model, and we present experimental results that show the potential of our proposed estimator. We believe that our quality estimator has the potential to alleviate the rich-get-richer phenomenon and help new and high-quality pages get the attention that they deserve.

Getting off the treadmill: evaluating walking user interfaces for mobile devices in public spaces

Abstract: Using a mobile device while moving limits attention and motor ability and can result in reduced performance. Mobile devices that can sense and adapt to contextual factors such as movement may reduce this performance deficit. We performed two studies evaluating the feasibility of walking user interfaces (WUIs) that adapt their layout when the user is moving. In a pilot study with 6 users, we evaluated the effects of different button sizes on performance when walking while using a portable music player. Results showed significant interactions between size and movement. In the second study, 29 users evaluated the performance of a WUI that dynamically changed button sizes as the user moved. Results show that our dynamic user interface performs at the level of its component static interfaces without any additional penalty due to adaptation. This work adds to our design knowledge about walking user interfaces and provides lessons learned in evaluating mobile devices while walking in public spaces.