<p> As eye-tracking become ubiquitous, the chance of systems using eye-gaze control interfaces increases. However, there is a lack of research explaining eye-gaze control&rsquo;s effect on user perception. Eye-gaze control may alter how users visually perceive their environment. Eye-gaze control may require movements that disrupt normal visual attending. Eye-gaze control may also alter visual attention by decreasing the likelihood of visual detection. This means eye-gaze control used in complex settings (i.e. driving, aviation, etc.) could increase potential harm to users and others. Therefore, it is important to identify potential changes to a user&rsquo;s perception. The current study was composed of two experiments examining costs to visual attention. A total of 48 CSULB students participated (24 each experiment). Participants tracked a cursor on a screen or controlled the cursor with mouse or eye-gaze control. Concurrently they responded to stimuli appearing in either peripheral or central visual areas. Responses and reaction times (RT) were gathered. The results suggest eye-gaze control disrupts visual attention and increases attentional load and inattentional blindness. Eye-gaze control had the most missed stimuli and slowest reaction times for peripheral and central targets. This study suggests effects of eye-gaze control on visual perception should be considered in system design and eye-gaze control should be limited to non-critical tasks where users won&rsquo;t be harmed if they miss an event.</p><p>

<p>NextGen introduces new automated tools to help air traffic controllers (ATCos) manage the projected increase in air traffic over the next decades. The purpose of the current study was to assess the role of trust in automation for NextGen tools. Differences in sensitivity between three subjective trust in automation scales and the relationship of these trust metrics to ATCo trust behaviors were considered. Trust behaviors were measured using a behavioral measure of trust, the number of near-miss aircraft moved. Additionally, the relationship between trust levels and situation awareness was also investigated. Results indicated that the Modified Human-Automation Trust Scale (M-HAT) may be the most sensitive to changes in trust over the course of the internship, although there was no differences in trust behavior between low or high-trusting individuals. Trust questionnaires pertaining to an overall automated system (M-HAT) may able to detect changes in trust over time compared to a more specific trust scale. The results also suggest it may be more valuable to specifically train controllers to trust automation than provide general training.

<p> Adherence to psychotropic medication is a critical aspect of treatment for the management of psychotic disorders. While the literature on the need for medication adherence is extensive, little research has explored the relationship between the negative symptoms of psychosis and medication adherence. Since negative symptoms are enduring, stable, and strongly correlated with poor outcome, it is vitally important for research to explore the role of negative symptoms in regards to adherence to psychotropic medication. Given its potentially significant consequences for treatment interventions, the purpose of this study was to contribute to the exceedingly limited body of research exploring the relationship between the negative symptoms seen in psychosis and medication adherence. This study examined if there is a relationship between the two and whether causality could be determined should a significant relationship exist between medication adherence and negative symptoms. This study utilized data previously collected at the UCLA Aftercare Research Program for studies examining aspects of outpatient psychiatric treatment. The 148 participants had a mean age of 22.5 years and were in the midst of their first psychotic episode upon study entry. Data from the Brief Psychiatric Rating Scale, Scale for the Assessment of Negative Symptoms, and medication adherence ratings were collected over the course of 12 months. Analyses revealed a significant relationship between the presence of negative symptoms and medication nonadherence. Analyses examining the temporal relationship between the two variables revealed that initial medication nonadherence was significantly associated with subsequent negative symptoms. However, once the impact of positive symptoms was controlled for as a potential mediating variable, the strength of the relationship between medication adherence and negative symptoms dissipated. After controlling for the role of reality distortion, the only negative symptoms significantly associated with medication nonadherence were the BPRS Negative Symptom Factor, BPRS Emotional Withdrawal, and BPRS Self-Neglect. Consequently, it appears that negative symptoms are more strongly associated with positive symptoms than with medication adherence. Replication of these findings and further research exploring the relationship between positive and negative symptoms as they relate to medication adherence is needed in order to improve treatment interventions focused on medication adherence.</p>

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 1997. / Source: Dissertation Abstracts International, Volume: 58-02, Section: B, page: 0999. Adviser: Anita L. Greene.

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 2000. / Source: Dissertation Abstracts International, Volume: 61-01, Section: B, page: 0554. Chair: William Nasby.

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 2000. / Source: Dissertation Abstracts International, Volume: 61-03, Section: B, page: 1667. Chair: Cynthia Rosengard.

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 2003. / Source: Dissertation Abstracts International, Volume: 63-06, Section: B, page: 3035. Adviser: Amy M. Wisniewski.

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 2003. / Source: Dissertation Abstracts International, Volume: 63-11, Section: B, page: 5544. Chair: Masha Gartstein.

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 2002. / Source: Dissertation Abstracts International, Volume: 63-11, Section: B, page: 5546. Adviser: Amy Wisniewski.

Thesis (Ph.D.)--Pacific Graduate School of Psychology, 2004. / Source: Dissertation Abstracts International, Volume: 64-11, Section: B, page: 5810. Adviser: Larry Thompson.