Geospatial information is critical to effective, collaborative decision -making during emergency management situations; however conventional GIS are not suited for multi-user access and highlevel abstract queries. Currently, decision makers do not always have the real time information they need; GIS analysts produce maps at the request of individual decision makers, often leading to overlapping requests with slow delivery times. In order to overcome these limitations, a paradigm shift in interface design for GIS is needed. The research reported upon here attempts to overcome analyst-driven, menu-controlled, keyboard and mouse operated GIS by designing a multimodal, multi-user GIS interface that puts geospatial data directly in the hands of decision makers. A large screen display is used for data visualization, and collaborative, multi-user interactions in emergency management are supported through voice and gesture recognition. Speech and gesture recognition is coupled with a knowledge-based dialogue management system for storing and retrieving geospatial data. This paper describes the first prototype and the insights gained for human-centered multimodal GIS interface design.

Emergency response requires strategic assessment of risks, decisions, and communications that are timecritical while requiring teams of individuals to have fast access to large volumes of complex information and technologies that enables tightly coordinated work. The access to this information by crisis management (CM) teams in emergency operations centers can be facilitated through various humancomputer interfaces. Unfortunately these interfaces are hard to use, require extensive training, and often impede rather than support teamwork. Dialogue-enabled devices, based on natural, multimodal interfaces have the potential of making a variety of information technology tools accessible during crisis management. This paper establishes the importance of multimodal interfaces in various aspects of crisis management and explores many issues in realizing successful speech-gesture driven, dialog-enabled interfaces for CM. The paper

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This paper describes how intelligent agents can simulate human operators to aid in the analysis and design of complex systems. The paper presents two examples of adapting the Crew Activity Tracking System (CATS) to function as an intelligent agent. The first is a model-based design application, in which CATS agents perform the task of air traffic controllers in order to test a new operational concept. The second concerns human error analysis, in which a coordinated team of CATS agents represents a flight crew and aircraft destroyed due to controlled flight into terrain. The paper also discusses issues regarding the development of task model-based agents that make plausible, human-like errors and the use of such agents.

Information retrieval is generally considered an individual activity, and information retrieval research and tools reflect this view. As digitally mediated communication and information sharing increase, collaborative information retrieval merits greater attention and support. We describe field studies of information gathering in two design teams that had very different products, disciplinary backgrounds, and tools. We found striking similarities in the kinds of information they sought and the methods used to get it. For example, each team sought information about design constraints from external sources. A common strategy was to propose ideas and request feedback, rather than to ask directly for recommendations. Some differences in information seeking and sharing reflected differences in work contexts. Our findings suggest some ways that existing team collaboration tools could support collaborative information retrieval more effectively.

This paper describes an ethnographic study conducted to explore the possibilities for future design and development of technological support for trauma teams. We videotaped 10 trauma resuscitations and transcribed each event. Using a framework that we developed, we coded each transcript to allow qualitative and quantitative analysis of the trauma teams ’ collaborative processes. We analyzed teams ’ tasks, interactions, and communication patterns that support information acquisition and sharing. Our results showed the importance of team transactive memory, but also pointed to inefficiencies in communication processes, which enable the functioning of this collective memory system. Based on quantitative and qualitative observations of trauma teamwork, we present opportunities for technological solutions that may reduce the cognitive effort needed for maintaining the working memory of trauma teams. Author Keywords Teamwork, communication, transactive memory, cognitive

Geo-collaborative systems address the computational support to situations where people are working in different locations, gathering geographically-related data in the field and sharing knowledge. We propose a conceptual framework identifying the design issues that fundamentally set the stage for eliciting the requirements of geo-collaborative systems. The conceptual framework has five elements: places, teams, tasks, artifacts and georeferenced knowledge. We also highlight two important relationships between some of these elements: (1) a task-artifact relationship, related with the need to increase the organizational decision making abilities through concerted efforts; and (2) an artifact-knowledge relationship, related with the need to support mechanisms for jointly understanding geo-referenced data. The conceptual framework was applied to the development of a groupware tool aiming to increase the productivity of the geological mapping process followed by a national agency with competence in this area. The paper describes in detail how the conceptual framework influenced the groupware design. The obtained results indicate that the framework can focus the designers on the human aspects of geo-collaboration and guide them through the initial design stages. Key words: geo-collaboration, geo-collaborative systems, geo-informatics, groupware, sensemaking 1.

Abstract: Many in-vehicle information systems (IVIS) are developed without consideration of how components need to be integrated. This can increase the cognitive load, errors and annoyance for drivers. This paper presents a taxonomy of IVIS functions and describes the information flows associated with these functions to show how a network analysis can guide integration. This analytic technique uses elements of graph theory to identify central functions and groups of functions that should be considered in system design. The analysis highlights potential dangers of failing to design integrated systems and the benefits of effective integration. Specifically, the analysis of information flows identifies highly central functions and groups of functions that are not obvious from the more traditional intuitive analysis of graphical representations.

In this article, we introduce some basic concepts from an emerging field called cognitive engineering that is designed to address these types of questions.

Although usability methods are widely used for evaluating conventional graphical user interfaces and websites, there is a growing concern that current approaches are inadequate for evaluating complex, domain-specific tools. We interviewed 21 experienced usability professionals, including in-house experts, external consultants, and managers working in a variety of complex domains, and uncovered the challenges commonly posed by domain complexity and how practitioners work around them. We found that despite the best efforts by usability professionals to get familiar with complex domains on their own, the lack of formal domain expertise can be a significant hurdle for carrying out effective usability evaluations. Partnerships with domain experts lead to effective results as long as domain experts are willing to be an integral part of the usability team. These findings suggest that for achieving usability in complex domains, some fundamental educational changes may be needed in the training of usability professionals. ACM Classification H.5.2 [Information interfaces and presentation]: User interfaces—evaluation / methodology.