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added abstracts
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‎_layouts/bib.html‎

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{% endif %}
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<div class="links">
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{% if entry.abstract %}
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<a class="abstract btn btn-sm z-depth-0" role="button">Abstract</a>
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{% endif %}
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{% if entry.arxiv %}
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<a href="http://arxiv.org/abs/{{ entry.arxiv }}" class="btn btn-sm z-depth-0" role="button" target="_blank">arXiv</a>
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{% endif %}
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{% if entry.website %}
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<a href="{{ entry.website }}" class="btn btn-sm z-depth-0" role="button" target="_blank">Website</a>
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{% endif %}
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{% if entry.abstract %}
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<a class="abstract btn btn-sm z-depth-0" role="button">Abstract</a>
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{% endif %}
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</div>
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‎_layouts/works.html‎

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{% endif %}
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<div class="links">
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{% if entry.abstract %}
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<a class="abstract btn btn-sm z-depth-0" role="button">Abstract</a>
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{% endif %}
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{% if entry.arxiv %}
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<a href="http://arxiv.org/abs/{{ entry.arxiv }}" class="btn btn-sm z-depth-0" role="button" target="_blank">arXiv</a>
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{% endif %}
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{% if entry.website %}
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<a href="{{ entry.website }}" class="btn btn-sm z-depth-0" role="button" target="_blank">Website</a>
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{% endif %}
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{% if entry.abstract %}
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<a class="abstract btn btn-sm z-depth-0" role="button">Abstract</a>
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{% endif %}
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‎_pages/publications.md‎

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<a href="{{ project.url | relative_url }}">
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{% endif %} -->
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{% if project.img %}
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<div class="col-sm-4">
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<div class="col-sm-3">
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<img class="img-fluid" src="{{ project.img | relative_url }}" alt="project thumbnail">
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</div>
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{% endif %}
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<div class="col-sm-8">
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<div class="col-sm-9">
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<h3 class="card-title">{{ project.title }}</h3>
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<p class="card-text">{{ project.description }}</p>
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<div class="row abbr ml-1 p-0">
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<a href="{{ project.pdf }}" class="btn btn-sm z-depth-0 m-0" role="button" target="_blank">{{project.type}} <i class="fas fa-download"></i></a>
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<div class="row abbr ml-1 p-0 pubs">
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<div class="links">
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<a href="{{ project.pdf }}" class="btn btn-sm z-depth-0 m-0" role="button" target="_blank">{{project.type}} <i class="fas fa-download"></i></a>
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{% if project.abstract %}
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<a class="abstract btn btn-sm z-depth-0" role="button">Abstract</a>
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{% endif %}
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</div>
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{% if project.abstract %}
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<div class="abstract hidden">
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<p>{{ project.abstract }}</p>
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</div>
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{% endif %}
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</div>
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<div class="row ml-1 mr-1 p-0">
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<div class="row ml-1 mr-1 p-0 pubs">
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{% if project.github %}
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<div class="github-icon">
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<div class="icon" data-toggle="tooltip" title="Code Repository">

‎_publications/1_project.markdown‎

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importance: 8
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type: Short Paper
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pdf: /pdfs/On_Optimizing_Human-Machine_Task_Assignments.pdf
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abstract: When crowdsourcing systems are used in combination with machine inference systems in the real world, they benefit the most when the machine system is deeply integrated with the crowd workers. However, if researchers wish to integrate the crowd with “off-the-shelf” machine classifiers, this deep integration is not always possible. This work explores two strategies to increase accuracy and decrease cost under this setting. First, we show that reordering tasks presented to the human can create a significant accuracy improvement. Further, we show that greedily choosing parameters to maximize machine accuracy is sub-optimal, and joint optimization of the combined system improves performance.
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Every project has a beautiful feature showcase page.

‎_publications/2_project.markdown‎

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pdf: /pdfs/Environmental_Compliance_ACM_DEV_15.pdf
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type: Poster
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importance: 9
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abstract: Industrial projects in India have to agree to specific sets of environmental conditions in order to function. Lack of compliance with these conditions results both in irreversible damage to the local environment as well as conflicts among the industry and the local community. Our aim is to provide a system that raises general awareness in the local community about the environmental conditions in vogue among the nearby industries so that compliance violations can be reported early on. We outline work in progress to mine the text of the clearance conditions and build a searchable mapping system that can answer various queries about these conditions.
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Every project has a beautiful feature showcase page.

‎_publications/3_project.markdown‎

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pdf: /pdfs/NoteCode_ACM_TEI_15.pdf
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type: Poster
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importance: 3
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abstract: We present the design of Note Code – a music programming puzzle game designed as a tangible device coupled with a Graphical User Interface (GUI). Tapping patterns and placing boxes in proximity enables programming these ‘note-boxes’ to store sets of notes, play them back and activate different subcomponents or neighboring boxes. This system provides users the opportunity to learn a variety of computational concepts, including functions, function calling and recursion, conditionals, as well as engage in composing music. The GUI adds a dimension of viewing the created programs and interacting with a set of puzzles that help discover the various computational concepts in the pursuit of creating target tunes, and optimizing the program made.
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‎_publications/4_project.markdown‎

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pdf: /pdfs/visualMath_cameraReady_iui17.pdf
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type: Poster
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importance: 4
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abstract: Math word problems are difficult for students to start with since they involve understanding the problem?s context and abstracting out its underlying mathematical operations. A visual understanding of the problem at hand can be very useful for the comprehension of the problem. We present a system VisualMath that uses machine learning tools and crafted visual logic to automatically generate appropriate visualizations from the text of the word-problems and solve it. We demonstrate the improvements in the understanding of math word-problems by conducting a user study and learning of meaning of relevant new words by students.
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Every project has a beautiful feature showcase page.

‎_publications/5_project.markdown‎

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importance: 5
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type: Poster
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pdf: /pdfs/eyamkayo-interactive-gaze.pdf
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abstract: This paper introduces EyamKayo, a first-of-its-kind interactive CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart), using eye gaze and facial expression based human interactions, to better distinguish humans from software robots. Our system generates a sequence of instructions, asking the user to follow a controlled sequence of facial expressions. We evaluate user comfort and system usability, and validate using usability tests.
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‎_publications/6_project.markdown‎

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importance: 3
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type: Full Paper
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pdf: /pdfs/optidwell-intelligent-adjustment(3).pdf
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abstract: Gaze based navigation with digital screens offer a hands-free and touchless interaction, which is often useful in providing a hygienic interaction experience in a public kiosk scenario. The goodness of such a navigation system depends not only on the accuracy of detecting the eye gaze but also on the ability to determine whether a user is interested in clicking a button or is just looking at the button. The time for which a user needs to gaze at a particular button before it is considered as a click action is called the dwell time. In this paper, we explore intelligent adjustment of dwell times, where mouse click events on the buttons of a given application are emulated with user gaze. A constant dwell-time for all buttons and for all users may not provide an efficient and intuitive interface. We thereby propose a model to dynamically adjust dwell-time values used to emulate user mouse click events, exploiting the user’s experience with different portions of a given application. The adjustment happens at a per-user, per-button granularity, as a function of the user’s (a) prior usage experience of the given button within the application and (b) Midas touch characteristics for the given button. We propose OptiDwell, inspired by the action-value method based solutions to the Multi-Armed Bandits problem, for dwell click time adaptation. We experiment OptiDwell using an interactive TV channel browsing interface application, constituting of a mix of text and image buttons, over 10 computer-savvy users generating over 9000 click tasks. We observe significant improvement of user comfort level over the sessions, quantified by (a) improved (reduced) dwell times and (b) reduced number of Midas touches in spite of faster dwell-clicks, as high as 10-fold reduction in the best case. Our work is useful for creating an interface, with accurate, fast and comfortable dwell-clicks for each interface element (e.g., buttons), and each user.
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‎_publications/7_project.markdown‎

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importance: 1
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type: Poster
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pdf: https://dl.acm.org/doi/10.1145/3373625.3418026
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abstract: Datasets and data sharing play an important role for innovation, benchmarking, mitigating bias, and understanding the complexity of real world AI-infused applications. However, there is a scarcity of available data generated by people with disabilities with the potential for training or evaluating machine learning models. This is partially due to smaller populations, disparate characteristics, lack of expertise for data annotation, as well as privacy concerns. Even when data are collected and are publicly available, it is often difcult to locate them. We present a novel data surfacing repository, called IncluSet, that allows researchers and the disability community to discover and link accessibility datasets. The repository is pre-populated with information about 139 existing datasets - 65 made publicly available, 25 available upon request, and 49 not shared by the authors but described in their manuscripts. More importantly, IncluSet is designed to expose existing and new dataset contributions so they may be discoverable through Google Dataset Search.
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