Methods for human-computer interaction research with older people

and in the basic infrastructures of science, business, and social interaction. For human-computer interaction to advance in the new millennium we need to better understand the emerging dynamic of interaction in which the focus task is no longer confined to the desktop but reaches into a complex networked world

Research on dialog systems has so far concentrated on interactions between a single user and a machine. In this paper we identify novel research directions arising from multi-party human computer interaction, i.e. scenarios where several human participants interact with a dialog system.

One of the major challenges in the emerging interdisciplinary field of human-computer interaction (HCI) is the specification of a research line that can enable the development of validated design relevant knowledge with a predictive power for the design of interactive systems. Based on the three

for usability and user experience research utilizing body motion data. We provide an overview of relevant related work and report the setup and initial results of two studies utilizing body motion capture. We discuss the experiences made in using motion capture approaches for human computer interaction research

In recent years the mainstream framework for human-computer interaction research—information processing cognitive psychology—has come under increasing criticism because of serious problems in applying it in both research and practical design. In a debate within the HCI research community

This paper presents a research agenda based on three challenges in attaining universal usability for web-based and other services: - Technology variety: Supporting a broad range of hardware, software, and network access - User diversity: Accommodating users with different skills, knowledge, age

As an emerging subfield of Management Information Systems (MIS), Human--Computer Interaction (HCI) or Human Factors studies in MISare concernedwith th wayshysS# interactwith information, techmation,S and tasks, especially in business, managerial, organizational, and cultural contexts. To date, few

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) and Intelligent Transport Systems (ITS) approaches. Too often HCI and ITS research approaches isolate the study of interactions- between human and in-vehicle computers- from the rest of activities in which the driver is involved. Our main assumption is that in-vehicle interactions activities are intrinsically