Experimental Assessment of Problem Solving at the Combined Arms and Services Staff School

Lussier, James W.; Solick, Robert E.; Keene, Delane S.

doi:10.21236/ada253386

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…The REPSS is a software-driven simulation that incorporates a resource allocation task requiring collaborative group planning to arrive at a solution. The design of the REPSS builds on an approach for developing collaborative planning tasks and performance measures set forth by Lussier, Solick, and Keene (1992). The REPSS task presents a hypothetical humanitarian relief effort requiring a group composed of a commander and three functionally interdependent teams to send weekly relief supply convoys to four separate towns for four weeks.…”

Section: Introductionmentioning

confidence: 99%

Collaborative Planning in Network-Enabled Co-Located and Distributed Environments

Sanders¹,

Fultz²

2008

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Section: Introductionmentioning

confidence: 99%

Collaborative Planning in Network-Enabled Co-Located and Distributed Environments

Sanders¹,

Fultz²

2008

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“…Recent research provides increasing evidence that individual differences in general, and affective states in particular, have a major impact on performance (Williams et al, 1997;Eysenck, 1997;Mineka & Sutton, 1992;Isen, 1993;LeDoux, 1992;Hammond et al, 1987;Deckert et al, 1994;Lussier et al, 1992;Fallesen, 1993). Table 1 provides a summary of recent empirical findings about the effects of specific emotional states on perceptual and cognitive processing.…”

Section: Introductionmentioning

confidence: 99%

Abais: Affect and Belief Adaptive Interface System

Hudlická

Billingsley

1999

Proceedings of the Human Factors and Ergonomics Society Annual

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Daws Highway, Suite 1204 Arlington VA 22202-4302. and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188), Washington, DC 20503. AGENCY USE ONLY (Leave blank)2. REPORT DATE February 1999 3. REPORT TYPE AND DATES COVERED Final Report, March 1998 -February 1999 TITLE AND SUBTITLE ABAIS: AFFECT and Belief Adaptive Interface System AUTHOR(S)Eva Hudlicka, John Billingsley We describe an Affect and Belief Adaptive Interface System (ABAIS) designed to compensate for performance biases caused by users' affective states and active beliefs. The ABAIS architecture implements an adaptive methodology consisting of four steps: sensing/inferring user affective state and performance-relevant beliefs; identifying their potential impact on performance; selecting a compensatory strategy; and implementing this strategy in terms of specific GUI adaptations. ABAIS provides a generic adaptive framework for exploring a variety of user assessment methods (e.g., knowledge-based, self-reports, diagnostic tasks, physiological sensing), and GUI adaptation strategies (e.g., content-and format-based). The ABAIS performance bias prediction is based on empirical findings from emotion research, and knowledge of specific task requirements. The initial ABAIS prototype is demonstrated in the context of an Air Force combat task, uses a knowledge-based approach to assess the pilot's anxiety level, and modifies selected cockpit instrument displays in response to detected increases in anxiety levels. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)Psychometrix SUBJECT TERMS SummaryPurpose As decision-support systems (DSS) and associated user interface (UI) technologies mature and proliferate into mission-critical applications, and increasingly heterogeneous user populations, it becomes particularly important that they accommodate individual user characteristics. While some progress has been made in user-modeling and adaptive user interfaces, the majority of existing systems continue to assume normative performance, and fail to adapt to the individual characteristics of particular users, whether those that are relatively stable over time, or those that are susceptible to situational influences. This is particularly true for adaptation with respect of the user's affective state.Current lack of accommodation of individual variations in performance in most humanmachine systems can lead to non-optimal behavior at best, and critical errors with disastrous consequences at worst.The purpose of this P...

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Affective Computing

Hudlická

Associates

McNeese

et al. 1999

Proceedings of the Human Factors and Ergonomics Society Annual

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Although central to human development and functioning, emotions have, until recently, had a somewhat marginal status in scientific disciplines in general, and have been largely ignored in the more applied settings such as human factors. Over the past 10 years, however, research in emotion in both psychology and neuroscience has established that emotion is intricately linked with what has been traditionally thought of as purely cognitive functions; that is, attention, perception, memory, planning, learning, etc. These realizations, together with increasing demands in the areas of human-machine interaction, and advances in human-computer interactions technologies, have fueled the recent burgeoning interest in a broad area termed 'affective computing'. The objective of this panel is three fold: 1) provide a broad overview of affective computing; 2) highlight specific areas in affective computing relevant to human factors; and 3) provide alternative perspectives regarding the feasibility of selected affective computing efforts. SUMMARYAlthough central to human development and functioning, emotions have, until recently, had a somewhat marginal status in scientific disciplines in general, and have been largely ignored in the more applied settings such as human factors. The study of emotions was generally equated with such ineffable phenomena as qualia and consciousness, and it was not clear how these problems could be addressed, or in what way the study of emotions could help elucidate and enhance the nature of human behavior and information processing. Furthermore, emotions were often studied in the context of psychopathology and severely maladaptive behaviors, which served to further marginalize the overall enterprise.

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Experimental Assessment of Problem Solving at the Combined Arms and Services Staff School

Abstract: Approved for P.;Mbc release; distutbution is unlimited. U.S. ARMY RESEARCH INSTITUTE FOR THE BEHAVIORAL AND SOCIAL SCIENCES

Cited by 4 publications

References 9 publications

Collaborative Planning in Network-Enabled Co-Located and Distributed Environments

Collaborative Planning in Network-Enabled Co-Located and Distributed Environments

Abais: Affect and Belief Adaptive Interface System

Affective Computing

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