Formal specification of human-computer interfaces

A high-level formal specification of a human computer interface is described. Previous work is reviewed and the ASLAN specification language is described. Top-level specifications written in ASLAN for a library and a multiwindow interface are discussed

Considerations in Designing Human-Computer Interfaces for Elderly People

As computing devices continue to become more heavily integrated into our lives, proper design of human-computer interfaces becomes a more important topic of discussion. Efficient and useful human-computer interfaces need to take into account the abilities of the humans who will be using such interfaces, and adapt to difficulties that different users may face – such as the difficulties that elderly users must deal with. Interfaces that allow for user-specific customization, while taking into account the multiple difficulties that older users might face, can assist the elderly in properly using these newer computing devices, and in doing so possibly achieving a better quality of life through the advanced technological support that these devices offer. In this paper, we explore common problems the elderly face when using computing devices and solutions developed for these problems. Difficulties ultimately fall into several categories: cognition, auditory, haptic, visual, and motor-based troubles. We also present an idea for a new adaptive operating system with advanced customizations that would simplify computing for older users

The Next Generation of Human-Computer Interfaces: A Psychological Perspective

Before we can extrapolate to the next generation of human-computer interfaces, a relevant question is How many generations of human-computer interfaces have there been so far, and what were they

An evaluation of earcons for use in auditory human-computer interfaces

An evaluation of earcons was carried out to seee whether they are an effective means of communicating information in sound. An initial experiment showed that earcons were better than unstructured bursts of sound and that musical timbres were more effective than simple tones. A second experiment was then carried out which improved upon some of the weaknesses shown up in Experiment 1 to give a significant improvement in recognition. From the results of these experiments some guidelines were drawn up for use in the creation of earcons. Earcons have been shown to be an effective method for communicating information in a human-computer interface

Trends in Multimodal Human-Computer Interfaces

Touch screens, voice commands and wireless gesture controllers have the potential to provide a more natural human-computer interface than traditional mice and keyboards. While these technologies are still evolving, the usefulness of such interfaces across industries is undeniable. In this presentation, the state of the art of human-computer interfaces will be explored. We will examine the qualifications necessary for these technologies to replace traditional interface hardware and project how far this interface revolution can take us

An introduction to interactive sonification

The research field of sonification, a subset of the topic of auditory display, has developed rapidly in recent decades. It brings together interests from the areas of data mining, exploratory data analysis, human–computer interfaces, and computer music. Sonification presents information by using sound (particularly nonspeech), so that the user of an auditory display obtains a deeper understanding of the data or processes under investigation by listening

Comparative analysis of selected human-computer interfaces

This article deals with the comparison of two technologies for manipulating 3D objects in terms of ease of use, ergonomics and intuitiveness. The comparison was based on the results obtained from the outcome of test tasks and questionnaires performed on the group of 15 people. Detailed research and test scenarios and additional questionnaires have been made. Each of the respondents had the opportunity to familiarize themselves with the device by performing three tests in two test scenarios (one per device)