Identifying Modes of Intent from Driver Behaviors in Dynamic Environments

In light of growing attention of intelligent vehicle systems, we propose developing a driver model that uses a hybrid system formulation to capture the intent of the driver. This model hopes to capture human driving behavior in a way that can be utilized by semi- and fully autonomous systems in heterogeneous environments. We consider a discrete set of high level goals or intent modes, that is designed to encompass the decision making process of the human. A driver model is derived using a dataset of lane changes collected in a realistic driving simulator, in which the driver actively labels data to give us insight into her intent. By building the labeled dataset, we are able to utilize classification tools to build the driver model using features of based on her perception of the environment, and achieve high accuracy in identifying driver intent. Multiple algorithms are presented and compared on the dataset, and a comparison of the varying behaviors between drivers is drawn. Using this modeling methodology, we present a model that can be used to assess driver behaviors and to develop human-inspired safety metrics that can be utilized in intelligent vehicular systems.Comment: Submitted to ITSC 201

Man vs. Machine: The Future of Financial Advising

This research evaluates the potential impact of artificial intelligence on the financial advising industry, particularly regarding the demand for human financial advisors within the industry as artificial intelligence rapidly evolves. With the recent launch of ChatGPT, a cutting-edge AI chatbot, the role of financial advisors, which previously seemed mostly exempt from any technological alternatives due to the essential emotional intelligence of a human financial advisor, is potentially at risk for replacement. This research provides an in-depth analysis on the feasibility of artificial intelligence replicating necessary humanlike characteristics of a human financial advisor and utilizes results of an anonymous survey where participants’ demographics such as age, location, gender, employment status, and income levels are combined with information regarding personal perspectives such as their attitude towards hiring a financial advisor and their trust levels towards AI replacements in this role to determine how demand would potentially be affected should these developments within this technology occur

Spiritually Oriented Cognitive Processing Therapy for Spiritual Struggle in Christian Sexual Assault Survivors with Posttraumatic Stress Disorder

A Single Case Research Design (SCRD) with a multiple-baseline across participants was used to investigate the effects Spiritually Oriented Cognitive Processing Therapy-Cognitive (SOCPT-C) had on spiritual struggle, posttraumatic stress disorder (PTSD) scores and depression in four Christian sexual assault survivors with PTSD reporting spiritual struggle. A complex reciprocal relationship between spiritual struggle and PTSD is suggested in the literature as influencing posttraumatic adjustment and treatment for Christian trauma survivors. Many empirically supported treatments (EST) for PTSD lack spiritual interventions to directly target effects from this relationship. Individuals completed an online pre-screening evaluation and an assessment was scheduled with those meeting inclusion criteria. Staggered treatment occurred in the counseling setting and included either (1) Cognitive Processing Therapy-Cognitive (CPT-C) or (2) SOCPT-C, a spiritually modified version of CPT-C. Data was collected through continuous assessment with two sessions weekly for eight weeks. Visual analysis was conducted through examining data patterns related to (1) level, (2) trend, (3) variability, (4) immediacy of the effect, (5) overlap and (6) consistency of data patterns across similar phases. Results indicated change was often gradual with no rapid shift and mixed treatment effects. The study findings indicated SOCPT-C was an effective intervention for decreasing spiritual struggle and PTSD. For depression scores, results were mixed and inconclusive for both interventions and their influences. Future research that evaluates the effects an EST inclusive with spiritual interventions have on the identified reciprocal relationship remains are indicated

The Efficacy of Repeated Reading on Secondary Students\u27 Oral Reading Fluency and Retell Fluency

Abstract Driggs, Cynthia S. M.Ed., Education Department, Cedarville University, 2013. The Efficacy of Repeated Reading on Secondary Students’ Oral Fluency Rate and Retell Rate. Today’s secondary students need effective reading instruction in order to meet the demands of The College and Career Readiness Standards. Since fluency and comprehension comprise essential components of effective reading instruction, this quantitative research is a controlled experiment with a pretest-posttest control-group design. The questions asked include the following: (a) Does repeated reading improve secondary students’ oral reading fluency as measured by increase in the number of words read per minute? (b) Does repeated reading improve secondary students’ retell fluency as measure by increase in the number of words retold from the passage? An experimental group that received interventions and a control group that did not receive interventions were administered pretest and a posttest. The results of an independent samples t-test indicated repeated reading had a significant effect on oral reading fluency t(30) = 4.12, p. \u3c .001 and retell fluency t(30) = 4.58, p. \u3c .001