Human-Centered Computing Works

Permanent URI for this collection

https://hdl.handle.net/1805/4525
Working papers, posters, reports, presentations and other works authored by members of the Department of Human-Centered Computing.

Browse

Browsing Human-Centered Computing Works by Title

Now showing 1 - 10 of 287
  • Thumbnail Image
    Item
    10x10=100: Best Practices and Lessons Learned from a Decade of Teaching Online Courses
    (2015-11-21) Hook, Sara Anne
    Drawn from the literature and the Quality Matters rubric as well as the presenter’s own experiences of 10 years of teaching online and in developing 10 courses on a wide variety of subjects, this presentation will offer a generous number of practical approaches and strategies that can be taken to enhance instructor-to-student and student-to-student interaction, encourage active learning and accountability, incorporate peer review and self-reflection, assess student learning outcomes and utilize technology most effectively.
  • Thumbnail Image
    Item
    3D Printed Cast and Interim Obturator for Maxillectomy with Pedicled Buccal Fat Pad Flap
    (2022) Bellicchi, T.; Jacobs, C.B.T.; Wood, Z.M.; Ghoneima, A.; Levon, J.; Morton, D.
    This poster presents a hybrid workflow using intra-oral digital scanning, 30 printing, Biocryl vacuform matrix, and soft denture reline material to obturate a partiallyhealed pedicled buccal fat pad flap maxillectomy. The goal of this poster is to demonstrate an effective workflow for interim obturation with recent post-surgical reconstruction patients unable to tolerate traditional intraoral impression techniques and materials.
  • Thumbnail Image
    Item
    3D Printing Law
    (2016) Hook, Sara Anne
    Whoever you represent in relation to 3D printing, you need to ensure that you're in-the-know regarding the latest rules and regulations. In this fast paced legal program, you'll maximize insight and gain cutting-edge pointers for advising your clients on this new area of law. Dig deep into the science, technology, rules and requirements regulating 3D printing today - AND identify key business, legal, and technical issues that will oversee this evolving landscape now, and in the near future. Review 3D printing laws and get the latest legislative updates, rules and regulations. Identify top liability traps, legal landmines and mistakes. Review intellectual property rights and issues. Analyze 3D printing taxation considerations.
  • Thumbnail Image
    Item
    A two-branch multi-scale residual attention network for single image super-resolution in remote sensing imagery
    (IEEE, 2024) Patnaik, Allen; Bhuyan, Manas K.; MacDorman, Karl F.
    High-resolution remote sensing imagery finds applications in diverse fields, such as land-use mapping, crop planning, and disaster surveillance. To offer detailed and precise insights, reconstructing edges, textures, and other features is crucial. Despite recent advances in detail enhancement through deep learning, disparities between original and reconstructed images persist. To address this challenge, we propose a two-branch multiscale residual attention network for single-image super-resolution reconstruction. The network gathers complex information about input images from two branches with convolution layers of different kernel sizes. The two branches extract both low-level and high-level features from the input image. The network incorporates multiscale efficient channel attention and spatial attention blocks to capture channel and spatial dependencies in the feature maps. This results in more discriminative features and more accurate predictions. Moreover, residual modules with skip connections can help to overcome the vanishing gradient problem. We trained the proposed model on the WHU-RS19 dataset, collated from Google Earth satellite imagery, and validated it on the UC Merced, RSSCN7, AID, and real-world satellite datasets. The experimental results show that our network uses features at different levels of detail more effectively than state-of-the-art models.
  • Thumbnail Image
    Item
    Academic Accomplices: Practical Strategies for Research Justice
    (ACM, 2019-06) Asad, Mariam; Dombrowski, Lynn; Costanza-Chock, Sasha; Erete, Sheena; Harrington, Christina; Human-Centered Computing, School of Informatics and Computing
    This workshop brings together folks currently or interested in becoming academic accomplices, or scholars committed to leveraging resources and power to support the justice work of their community collaborators. Academic accomplices are necessary for research justice-research that materially challenges inequity-and owe it to community partners to challenge underlying oppressive structure and practices as perpetuated through academic research. The goal of this workshop is to discuss concrete strategies for challenging oppression through research methodologies, physical or institutional resources, and/or pedagogy. This workshop will generate practical strategies for research justice for DIS and HCI scholars.
  • Thumbnail Image
    Item
    #accessibilityFail: Categorizing Shared Photographs of Physical Accessibility Problems
    (ACM, 2016-10) Li, Hanlin; Brady, Erin; Department of Human-Centered Computing, School of Informatics and Computing
    Social media platforms are existing online spaces where users share their daily encounters, providing a large dataset of photographs of inaccessible environments. We analyzed 100 posts from Twitter and Instagram that describe accessibility problems. Our findings suggest these posts are helpful to locate, identify and communicate accessibility problems, and provide design ideas for potential assistive technologies. We suggest design implications using social media posts to improve physical accessibility.
  • Thumbnail Image
    Item
    Achieving Practical and Accurate Indoor Navigation for People with Visual Impairments
    (ACM, 2017) Ahmetovic, Dragan; Murata, Masayuki; Gleason, Cole; Brady, Erin; Takagi, Hironobu; Kitani, Kris; Asakawa, Chieko; Human-Centered Computing, School of Informatics and Computing
    Methods that provide accurate navigation assistance to people with visual impairments often rely on instrumenting the environment with specialized hardware infrastructure. In particular, approaches that use sensor networks of Bluetooth Low Energy (BLE) beacons have been shown to achieve precise localization and accurate guidance while the structural modifications to the environment are kept at minimum. To install navigation infrastructure, however, a number of complex and time-critical activities must be performed. The BLE beacons need to be positioned correctly and samples of Bluetooth signal need to be collected across the whole environment. These tasks are performed by trained personnel and entail costs proportional to the size of the environment that needs to be instrumented. To reduce the instrumentation costs while maintaining a high accuracy, we improve over a traditional regression-based localization approach by introducing a novel, graph-based localization method using Pedestrian Dead Reckoning (PDR) and particle filter. We then study how the number and density of beacons and Bluetooth samples impact the balance between localization accuracy and set-up cost of the navigation environment. Studies with users show the impact that the increased accuracy has on the usability of our navigation application for the visually impaired.
  • Thumbnail Image
    Item
    Active Reading Behaviors in Tablet-based Learning
    (AACE, 2015-07) Palilonis, Jennifer; Bolchini, Davide; Department of Human-Centered Computing, School of Informatics and Computing
    Active reading is fundamental to learning. However, there is little understanding about whether traditional active reading frameworks sufficiently characterize how learners study multimedia tablet textbooks. This paper explores the nature of active reading in the tablet environment through a qualitative study that engaged 30 students in an active reading experience with two tablet textbook modules. We discovered novel study behaviors learners enact that are key to the active reading experience with tablet textbooks. Results illustrate that existing active reading tools do little to support learners when they struggle to make sense of and subsequently remember content delivered in multiple media formats, are distracted by the mechanics of interactive content, and grapple with the transient nature of audiovisual material. We collected valuable user feedback and uncovered key deficiencies in existing active reading tools that hinder successful multimedia tablet textbook reading experiences. Our work can inform future designs of tools that support active reading in this environment.
  • Thumbnail Image
    Item
    ActVirtual: Making Public Activism Accessible
    (ACM, 2017-10) Bora, Disha; Li, Hanlin; Salvi, Sagar; Brady, Erin; Human-Centered Computing, School of Informatics and Computing
    Technology-mediated public activism has grown popular in recent years with the high uptake of social media. Facebook and Twitter have become venues for activists to participate in online activism, or organize offline activism events. However, due to accessibility barriers in physical environments and accessibility issues in social media, people with disabilities continue to face challenges when they engage with such social movements. We interviewed 22 disabled activists about how they used technology to mediate civic engagement and barriers they faced. We present preliminary findings from these interviews and describe a potential solution named ActVirtual, a mobile platform for accessible activism. Our future work will include implementing and testing ActVirtual with users to make online and offline activism more accessible.
  • Thumbnail Image
    Item
    Advancing Critical Care in the ICU: A Human-Centered Biomedical Data Visualization Systems
    (2011) Faiola, Anthony; Newlon, Chris
    The purpose of this research is to provide medical clinicians with a new technology for interpreting large and diverse datasets to expedite critical care decision-making in the ICU. We refer to this technology as the medical information visualization assistant (MIVA). MIVA delivers multivariate biometric (bedside) data via a visualization display by transforming and organizing it into temporal resolutions that can provide contextual knowledge to clinicians. The result is a spatial organization of multiple datasets that allows rapid analysis and interpretation of trends. Findings from the usability study of the MIVA static prototype and heuristic inspection of the dynamic prototype suggest that using MIVA can yield faster and more accurate results. Furthermore, comments from the majority of the experimental group and the heuristic inspectors indicate that MIVA can facilitate clinical task flow in context-dependent health care settings.