Modeling Information Exchange Opportunities for Effective Human-Computer Teamwork

This paper studies information exchange in collaborative group activities involving mixed networks of people and computer agents. It introduces the concept of "nearly decomposable" decision-making problems to address the complexity of information exchange decisions in such multi-agent settings. This class of decision-making problems arise in settings which have an action structure that requires agents to reason about only a subset of their partners' actions – but otherwise allows them to act independently. The paper presents a formal model of nearly decomposable decision-making problems, NED-MDPs, and defines an approximation algorithm, NED-DECOP that computes efficient information exchange strategies. The paper shows that NED-DECOP is more efficient than prior collaborative planning algorithms for this class of problem. It presents an empirical study of the information exchange decisions made by the algorithm that investigates the extent to which people accept interruption requests from a computer agent. The context for the study is a game in which the agent can ask people for information that may benefit its individual performance and thus the groupʼs collaboration. This study revealed the key factors affecting peopleʼs perception of the benefit of interruptions in this setting. The paper also describes the use of machine learning to predict the situations in which people deviate from the strategies generated by the algorithm, using a combination of domain features and features informed by the algorithm. The methodology followed in this work could form the basis for designing agents that effectively exchange information in collaborations with people.Engineering and Applied Science

A provenance task abstraction framework

Visual analytics tools integrate provenance recording to externalize analytic processes or user insights. Provenance can be captured on varying levels of detail, and in turn activities can be characterized from different granularities. However, current approaches do not support inferring activities that can only be characterized across multiple levels of provenance. We propose a task abstraction framework that consists of a three stage approach, composed of (1) initializing a provenance task hierarchy, (2) parsing the provenance hierarchy by using an abstraction mapping mechanism, and (3) leveraging the task hierarchy in an analytical tool. Furthermore, we identify implications to accommodate iterative refinement, context, variability, and uncertainty during all stages of the framework. A use case describes exemplifies our abstraction framework, demonstrating how context can influence the provenance hierarchy to support analysis. The paper concludes with an agenda, raising and discussing challenges that need to be considered for successfully implementing such a framework

A provenance task abstraction framework

Visual analytics tools integrate provenance recording to externalize analytic processes or user insights. Provenance can be captured on varying levels of detail, and in turn activities can be characterized from different granularities. However, current approaches do not support inferring activities that can only be characterized across multiple levels of provenance. We propose a task abstraction framework that consists of a three stage approach, composed of (1) initializing a provenance task hierarchy, (2) parsing the provenance hierarchy by using an abstraction mapping mechanism, and (3) leveraging the task hierarchy in an analytical tool. Furthermore, we identify implications to accommodate iterative refinement, context, variability, and uncertainty during all stages of the framework. A use case describes exemplifies our abstraction framework, demonstrating how context can influence the provenance hierarchy to support analysis. The paper concludes with an agenda, raising and discussing challenges that need to be considered for successfully implementing such a framework

The Effect of Interruptions During a Laparoscopy Skills Training Task

The goal of the present study was to examine how interruptions during a laparoscopic skills training task affected task performance. Undergraduate students completed a task that required them to pick up and transfer colored objects in a specific, predetermined sequence. The number of colored objects in the sequence was varied to produce three levels of task demand. During execution of the primary task, participants were interrupted by auditory task-irrelevant communication. The temporal length of interruptions was also manipulated to produce three levels of interruption duration. Results showed that participants made significantly more sequence errors in the high demand condition than in the moderate demand condition. Unexpectedly, a large majority of participants were distracted instead of interrupted by the auditory communication. It was found that distractions did not significantly impair task performance. The general implication of the findings was that the peg transfer task from the Fundamentals of Laparoscopic Surgery is attentionally demanding, particularly when the complexity of the task is increased. However, a non-interruptive auditory dialogue (e.g., communication with trainers or team members) may be time-shared with laparoscopic skills training for novices with minimal impact on performance

Development And Validation Of The Cross-cultural Competence Inventory

Understanding the factors responsible for successful interactions between cultures has been an ongoing investigation among anthropologists, social workers, and organizational psychologists. The need for employees who are able to function effectively across cultures has resulted in a great deal of research examining which factors enable expatriate effectiveness. Despite the necessity of a workforce that is able to function across cultures in today’s global economy, an even greater case can be made for cross-cultural competence (3C) in the U.S. military. The potential for loss of life and international-level consequences is high if our military forces are not adequately prepared. This is why the Department of Defense has identified 3C as a critical determinant of success for military missions. Despite the critical need for military 3C, a review of the literature found no validated instruments developed to assess the readiness of our troops to work closely with foreign nationals and coalition forces in the context of military deployments. As such, the overarching goal of this validation study was to enable the U.S. military to prepare and train its forces in 3C, specifically allowing the military to: (1) better assess troop readiness to engage other cultures; (2) target training to those skills that help achieve missions in the field; (3) design more authentic cross-cultural training exercises; (4) assess the effectiveness of crosscultural training; and (5) guide the development of future cultural training efforts. To that end, a blended approach to scale development was undertaken, whereby critical-incident interviews with subject matter experts informed which of the individual difference predictors from the civilian literatures would likely be applicable to the military domain. Initial administration of the prototype instrument to 792 military members, followed by exploratory factor analysis, revealed six hypothesized factors of 3C. Following scale development, the Cross-Cultural Competence iv Inventory (3CI) was administered to almost 5,000 service members, and the six-factor structure was confirmed as well as cross-validated. Another data collection effort focused on assessing the stability of the six factors over time, via test-retest reliability analysis. A final validation study revealed Cultural Exploration to be a significant predictor of three of the four performance criteria, as rated by supervisors on deployment. Furthermore, this study offered the unique perspective gained by administering two popular civilian instruments along with a military-based tool, providing insight into the nature of military 3C and the ways in which it is similar to, and distinct from, civilian 3C. Additionally, important theoretical contributions may help guide future empirical research and military applications. This study is the initial step in assessing readiness for cultural interaction in the military. The results may serve to guide future efforts in military research in order to support our forces in the field as well as to guide the military establishment in making decisions on training, education, and operations in the context of mission success