A Generic Personal Assistant Agent Model for Support in Demanding Tasks

Abstract. Human task performance may vary depending on the characteristics of the human, the task and the environment over time. To ensure high effectiveness and efficiency of the execution of tasks, automated personal assistance may be provided to task performers. A personal assistant agent may constantly monitor the human’s state and task execution, analyse the state of the human and task, and intervene when a problem is detected. This paper proposes a generic design for a Personal Assistant agent model which can be deployed in a variety of domains. Application of the Personal Assistant model is illustrated by a case study from the naval domain.

A Generic Personal Assistant Agent Model for Support in Demanding Tasks

Item does not contain fulltextHuman task performance may vary depending on the characteristics of the human, the task and the environment over time. To ensure high effectiveness and efficiency of the execution of tasks, automated personal assistance may be provided to task performers. A personal assistant agent may constantly monitor the human's state and task execution, analyse the state of the human and task, and intervene when a problem is detected. This paper proposes a generic design for a Personal Assistant agent model which can be deployed in a variety of domains. Application of the Personal Assistant model is illustrated by a case study from the naval domain.5th International Conference, FAC 2009 Held as Part of HCI International 2009 San Diego, CA, USA, July 19-24, 200

INTELLIGENT PERSONAL ASSISTANTS IN THE CLASSROOM: IMPACT ON STUDENT ENGAGEMENT

Intelligent personal assists are as a software tool utilized by millions of consumers to interact with their smartphone, tablet, laptop or desktop computer, or smart speaker. As more mobile and computer operating systems offer the feature, more classrooms and ultimately students will have access to one of these tools, either on a school-purchased device or a personal device. The aim of this study was to look at a specific implementation of Siri, an intelligent personal assistant platform, in upper elementary and middle school science classrooms. The researcher utilized the lense of student engagement to measure the impact of the implementation of Siri. To that end, the research proposed the research question: Does implementation of the intelligent personal assistant Siri via purposeful introduction and instruction increase engagement of middle school science students or upper elementary students? The research question is answered utilizing a quasi-experimental model that measures engagement via the Engagement Versus Disaffection with Learning-Student Report instrument, pre- and post-treatment. The treatment involved teachers introducing Siri to treatment groups and then encouraging appropriate use. The researcher analyzed results utilizing descriptive statistics, paired-sample t-test, and the Wilcoxon Signed Rank test. The researcher found only one statistically significant result out of 24 tests conducted. After analysis of changes in student use and student perception of engagement across all tests, along with an analysis of effect sizes, the research was not able to find persuasive evidence to reject the null hypothesis