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Applied interdisciplinary concepts for designing visual media within interactive neurorehabilitation systems

Description
As the application of interactive media systems expands to address broader problems in health, education and creative practice, they fall within a higher dimensional space for which it is inherently more complex to design. In response to this need an emerging area of interactive system design, referred to as experiential…

As the application of interactive media systems expands to address broader problems in health, education and creative practice, they fall within a higher dimensional space for which it is inherently more complex to design. In response to this need an emerging area of interactive system design, referred to as experiential media systems, applies hybrid knowledge synthesized across multiple disciplines to address challenges relevant to daily experience. Interactive neurorehabilitation (INR) aims to enhance functional movement therapy by integrating detailed motion capture with interactive feedback in a manner that facilitates engagement and sensorimotor learning for those who have suffered neurologic injury. While INR shows great promise to advance the current state of therapies, a cohesive media design methodology for INR is missing due to the present lack of substantial evidence within the field. Using an experiential media based approach to draw knowledge from external disciplines, this dissertation proposes a compositional framework for authoring visual media for INR systems across contexts and applications within upper extremity stroke rehabilitation. The compositional framework is applied across systems for supervised training, unsupervised training, and assisted reflection, which reflect the collective work of the Adaptive Mixed Reality Rehabilitation (AMRR) Team at Arizona State University, of which the author is a member. Formal structures and a methodology for applying them are described in detail for the visual media environments designed by the author. Data collected from studies conducted by the AMRR team to evaluate these systems in both supervised and unsupervised training contexts is also discussed in terms of the extent to which the application of the compositional framework is supported and which aspects require further investigation. The potential broader implications of the proposed compositional framework and methodology are the dissemination of interdisciplinary information to accelerate the informed development of INR applications and to demonstrate the potential benefit of generalizing integrative approaches, merging arts and science based knowledge, for other complex problems related to embodied learning.
ContributorsLehrer, Nicole (Author) / Rikakis, Thanassis (Committee member) / Olson, Loren (Committee member) / Wolf, Steven L. (Committee member) / Turaga, Pavan (Committee member) / Arizona State University (Publisher)
Created2014

An evaluation of the modality effect: the impact of presentation style and pacing on learning, mental effort, and self-efficacy

Description
The current study investigated how multimedia pacing (learner-control versus system-paced) and presentation styles (visual-only versus audio/visual) impact learning physics concept material, mental effort, and self-efficacy. This 2X2 factorial study randomly assigned participants into one of four conditions that manipulated presentation style (visual-only versus audio/visual) and pacing of the content (system-paced…

The current study investigated how multimedia pacing (learner-control versus system-paced) and presentation styles (visual-only versus audio/visual) impact learning physics concept material, mental effort, and self-efficacy. This 2X2 factorial study randomly assigned participants into one of four conditions that manipulated presentation style (visual-only versus audio/visual) and pacing of the content (system-paced versus learning-controlled). Participant's learning was measured by recording their retention of information and ability to transfer information. Measures of perceived difficulty (mental effort) and perceived ability (self-efficacy) were also obtained. No significant effects were observed in this study which doesn’t support the existence of either the modality or reverse modality effect at least in these noisier online learning environments. In addition, the hypothesis that their effects could be an artifact of experimental design could not be proven as the learner control condition did not yield any significant results.
ContributorsKrause, Tyler (Author) / Craig, Scotty D. (Thesis advisor) / Gray, Robert (Committee member) / Branaghan, Russell (Committee member) / Arizona State University (Publisher)
Created2018

Measuring the effectiveness of enterprise application training: a comparative analysis of dynamic and integrated instruction

Description
The purpose of this study was to investigate the impacts of three types of instructional presentation methods on learning, efficiency, cognitive load, and learner attitude. A total of 67 employees of a large southwestern university working in the field of research administration were randomly assigned to one of three…

The purpose of this study was to investigate the impacts of three types of instructional presentation methods on learning, efficiency, cognitive load, and learner attitude. A total of 67 employees of a large southwestern university working in the field of research administration were randomly assigned to one of three conditions. Each condition presented instructional materials using a different method, namely dynamic integrated, dynamic non-integrated, or non-dynamic non-integrated. Participants completed a short survey, pre-test, cognitive load questions, learner attitude questions, and a post-test during their experience. The results reveal that users of the dynamic integrated condition treatment showed significant improvement in both learning and efficiency. The dynamic non-integrated participants had a faster mean time to complete an assigned task, however, they also had significantly lower average test scores. There were no other significant findings in terms of cognitive load or learner attitude. Limitations, implications and future studies are discussed.
ContributorsBrown, Andrew (Author) / Nelson, Brian (Thesis advisor) / Savenye, Wilhelmina (Committee member) / Atkinson, Robert (Committee member) / Arizona State University (Publisher)
Created2016

Evaluating artificial social intelligence in an urban search and rescue task environment

Description

Human team members show a remarkable ability to infer the state of their partners and anticipate their needs and actions. Prior research demonstrates that an artificial system can make some predictions accurately concerning artificial agents. This study investigated whether an artificial system could generate a robust Theory of Mind of…

Human team members show a remarkable ability to infer the state of their partners and anticipate their needs and actions. Prior research demonstrates that an artificial system can make some predictions accurately concerning artificial agents. This study investigated whether an artificial system could generate a robust Theory of Mind of human teammates. An urban search and rescue (USAR) task environment was developed to elicit human teamwork and evaluate inference and prediction about team members by software agents and humans. The task varied team members’ roles and skills, types of task synchronization and interdependence, task risk and reward, completeness of mission planning, and information asymmetry. The task was implemented in MinecraftTM and applied in a study of 64 teams, each with three remotely distributed members. An evaluation of six Artificial Social Intelligences (ASI) and several human observers addressed the accuracy with which each predicted team performance, inferred experimentally manipulated knowledge of team members, and predicted member actions. All agents performed above chance; humans slightly outperformed ASI agents on some tasks and significantly outperformed ASI agents on others; no one ASI agent reliably outperformed the others; and the accuracy of ASI agents and human observers improved rapidly though modestly during the brief trials.
ContributorsFreeman, Jared T. (Author) / Huang, Lixiao (Author) / Woods, Matt (Author) / Cauffman, Stephen J. (Author)
Created2021-11-04