Browsing by Author "Tasooji, Reza"

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    CS 5604 INFORMATION STORAGE AND RETRIEVAL Front-End Team Fall 2016 Final Report
    Kohler, Rachel; Tasooji, Reza; Sullivan, Patrick (Virginia Tech, 2016-12-08)
    Information Retrieval systems are a common tool for building research and disseminating knowledge. For this to be possible, these systems must be able to effectively show varying amounts of relevant information to the user. The information retrieval system is in constant interaction with the user, who can modify the direction of their search as they gain more information. The front-end of the information retrieval system is where this important communication happens. As members of Dr. Fox's class on Information Storage and Retrieval, we are tasked with understanding and making progress toward answering the question: how can we best build a state-of-the-art information retrieval and analysis system in support of the IDEAL (Integrated Digital Event Archiving and Library) and GETAR (Global Event and Trend Archive Research) projects? As the front-end design and development team, our responsibility to this project is in creating an interface for users to explore large collections of tweet and webpage data. Our goal in this research effort is to understand how users search for information and to support these efforts with an accurate and usable interface. We support various methods of searching, such as query driven searches, faceted search and browsing, and filtering of information by topic. We implemented user management and logging to support future work in recommendations. Additionally, we integrated a framework for future efforts in providing users with insightful visualizations which will allow them to explore social network and document interrelation data.
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    Desire and Hope
    Tasooji, Reza (Virginia Tech, 2015-06-07)
    "Desire and Hope" is three short animations. The main concept in these three animations is human desires; the goal in each animation was to explore a ways to tell this concept by adding some level of ambiguity, so viewers can watch it through their own vision.
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    Determining Correlation Between Video Stimulus and Electrodermal Activity
    Tasooji, Reza (Virginia Tech, 2018-08-06)
    With the growth of wearable devices capable of measuring physiological signals, affective computing is becoming more popular than before that gradually will remove our cognitive approach. One of the physiological signals is the electrodermal activities (EDA) signal. We explore how video stimulus that might arouse fear affect the EDA signal. To better understand EDA signal, two different medians, a scene from a movie and a scene from a video game, were selected to arouse fear. We conducted a user study with 20 participants and analyzed the differences between medians and proposed a method capable of detecting the highlights of the stimulus using only EDA signals. The study results show that there are no significant differences between two medians except that users are more engaged with the content of the video game. From gathered data, we propose a similarity measurement method for clustering different users based on how common they reacted to different highlights. The result shows for 300 seconds stimulus, using a window size of 10 seconds, our approach for detecting highlights of the stimulus has the precision of one for both medians, and F1 score of 0.85 and 0.84 for movie and video game respectively.
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    Reimagining medical workspaces through on-site observations and bodystorming
    Ishida, Aki; Martin, Thomas; Gracanin, Denis; Franusich, David; Buck, Carl; Parker, Sarah H.; Knapp, R. Benjamin; Haley, Vince; Zagarese, Vivian; Tasooji, Reza (2023-01)
    Clinicians in acute care hospitals experience highly stressful situations daily. They work long, variable hours, complete complex technical tasks, and must also be emotionally engaged with patients and families to meet the caring demands of this profession, which can lead to burnout. In response to these challenges, a multi-disciplinary team from Virginia Tech collaborated with Steelcase to study the impact of medical workspaces on the clinician experience and how those workspaces could be improved to reduce some of the sources of burnout. The team sought to identify conditions that could either aid or hinder clinician workflow and affect burnout rate, then based on interviews and in-situ ethnographic studies, generated design concepts for nurse stations, both centralized and mobile. Using digital and physical full-scale prototypes, we enacted clinical care scenarios to seek feedback and reflect on the design.