Research Projects
A Comparison of Driver Alerting and Management Systems Through the Lens of Multiple Resource Theory
In a rapidly evolving world where human-machine interactions become increasingly dynamic and complex, understanding and leveraging Multiple Resource Theory (MRT) is essential for designing efficient and safe systems. When analyzing the effectiveness of different driver assistance designs through the lens of MRT, it is crucial to consider how each stage of information processing, modality, access, working memory, and responding can all create conflicts or synergies. Design 1 employs visual and auditory modalities to provide hazard alerts using color-coded visual displays and auditory tones, while Design 2 leverages tactile feedback through seat tactors to convey similar hazard information. These designs reflect divergent approaches to managing the driver's cognitive resources and minimizing interference during task execution. Wickens (2002) highlights that the potential for dual-task interference arises when tasks demand overlapping modalities or cognitive resources, which can compromise performance, particularly in high-stress or multitasking environments. By comparing the conflicts introduced at each stage of MRT, this essay aims to evaluate the advantages and limitations of these designs in supporting effective driver responses to hazards.
Proposal to Compare Visual Acuity Between Night-Vison Goggles
A review of existing literature was performed to establish critical aspects of visual acuity and to aid in determining the appropriate methodologies by which to evaluate two separate night-vision goggles (NVGs). The following sections will highlight the basics of visual acuity and how it can be determined, the importance of visual acuity in NVGs, and three psychophysical methodologies we will use to determine which of the two NVGs offers the most optimum performance in low-light conditions. The method sections of this proposal will detail the experimental design and methods we propose for the evaluation of both models of Night Vision Goggles (NVGs).
Competitive Analysis Between LinkedIn and Indeed
This competitive analysis between LinkedIn and Indeed stems from their global presence and use. LinkedIn, has over 1 billion annual users, utilizing the website's social networking and job search capabilities. Of those 1 billion users, only 50 million users use the job search page each month. On the flip side, Indeed has over 500 million monthly users, all of whom are using the platform to find and apply for jobs. Students are a large part of this population as they are often looking for jobs, internships, and co-ops to develop and begin their professional careers. LinkedIn, is one of their greatest tools, as they can market themselves with a public profile, connect with industry professionals, and message recruiters about jobs they have posted. Because of this, LinkedIn should be trying its best to control the market share of job seekers, but it clearly does not. This paper investigates if the reason for poor market share is due to poor user experience through interface design.