Senjuti Dutta

ORCID: 0000-0001-8353-8989
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About
Contact & Profiles
Research Areas
  • Personal Information Management and User Behavior
  • Technology Adoption and User Behaviour
  • Video Analysis and Summarization
  • Computational Physics and Python Applications
  • Mobile Crowdsensing and Crowdsourcing
  • Digital Marketing and Social Media
  • Human-Automation Interaction and Safety
  • Innovative Human-Technology Interaction
  • Sharing Economy and Platforms
  • Consumer Retail Behavior Studies
  • Finite Group Theory Research
  • Gaze Tracking and Assistive Technology
  • Blockchain Technology Applications and Security
  • Privacy-Preserving Technologies in Data
  • Human Mobility and Location-Based Analysis
  • AI in Service Interactions
  • Tactile and Sensory Interactions
  • Teaching and Learning Programming
  • Knowledge Management and Sharing
  • Interactive and Immersive Displays
  • Advanced Combinatorial Mathematics
  • graph theory and CDMA systems
  • Cryptography and Data Security
  • Privacy, Security, and Data Protection
  • Software Engineering Research

University of Tennessee at Knoxville
2022-2024

Knoxville College
2022

University of Memphis
2021

Jadavpur University
2018

In our era of rapid technological advancement, the research landscape for writing assistants has become increasingly fragmented across various communities. We seek to address this challenge by proposing a design space as structured way examine and explore multidimensional intelligent interactive assistants. Through large community collaboration, we five aspects assistants: task, user, technology, interaction, ecosystem. Within each aspect, define dimensions (i.e., fundamental components an...

10.1145/3613904.3642697 preprint EN other-oa 2024-05-11

University campuses in India lack assistive systems that facilitate smooth navigation of visually impaired persons. This paper proposes design a system called Divya-Dristi, helps persons navigate familiar environments such as university campus. The requires users to carry only Android based smart phone. Based on 3-tier architecture, we aim develop conveyable, self-contained provide dynamic interactions. major functional components this way finding are (a) an application for determining the...

10.1109/eait.2018.8470397 article EN 2018-01-01

$ $Large Language Models (LLMs) are being increasingly utilized in various applications, with code generations a notable example. While previous research has shown that LLMs have the capability to generate both secure and insecure code, literature does not take into account what factors help effective code. Therefore this paper we focus on identifying understanding conditions contexts which can be effectively safely deployed real-world scenarios quality We conducted comparative analysis of...

10.48550/arxiv.2402.00689 preprint EN arXiv (Cornell University) 2024-02-01

Crowdsourcing enables users (task requesters) to outsource complex tasks an unspecified crowd of workers. To guarantee the quality crowdsourcing service, it is necessary select most appropriate task workers complete tasks. this end, platform (broker) must conduct mutual matching between and based on requirements worker preferences. However, both preferences may contain sensitive information (e.g., time, location task, etc.), which should not be revealed broker other adversaries. In paper, we...

10.1109/iwqos52092.2021.9521265 article EN 2021-06-25

We present a design fiction, which is set in the near future as significant Mars habitation begins. Our goal creating this fiction to address current work-life issues on Earth and future. With shelter-in-place measures, established norms of productivity relaxation have been shaken. The creates an opportunity explore boundaries between work life, are changing with will continue change. includes two primary artifacts: (1) propaganda recruitment poster (2) fictional narrative account. former...

10.1145/3492859 article EN Proceedings of the ACM on Human-Computer Interaction 2022-01-14

Image generation models are poised to become ubiquitous in a range of applications. These often fine-tuned and evaluated using human quality judgments that assume universal standard, failing consider the subjectivity such tasks. To investigate how quantify subjectivity, scale its impact, we measure assessments differ among annotators across different use cases. Simulating effects ordinarily latent elements contrive set motivations (t-shirt graphics, presentation visuals, phone background...

10.48550/arxiv.2403.05576 preprint EN arXiv (Cornell University) 2024-02-26

Human feedback plays a critical role in learning and refining reward models for text-to-image generation, but the optimal form should take an accurate function has not been conclusively established. This paper investigates effectiveness of fine-grained which captures nuanced distinctions image quality prompt-alignment, compared to traditional coarse-grained (for example, thumbs up/down or ranking between set options). While holds promise, particularly systems catering diverse societal...

10.48550/arxiv.2406.16807 preprint EN arXiv (Cornell University) 2024-06-24

Crowdsourcing platforms have traditionally been designed with a focus on workstation interfaces, restricting the flexibility that crowdworkers need. Recognizing this limitation and need for more adaptable platforms, prior research has highlighted diverse work processes of crowdworkers, influenced by factors such as device type stage. However, these variables largely studied in isolation. Our study is first to explore interconnected variabilities among within crowdwork community. Through...

10.1609/hcomp.v12i1.31600 article EN Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2024-10-14

Crowdsourcing platforms have traditionally been designed with a focus on workstation interfaces, restricting the flexibility that crowdworkers need. Recognizing this limitation and need for more adaptable platforms, prior research has highlighted diverse work processes of crowdworkers, influenced by factors such as device type stage. However, these variables largely studied in isolation. Our study is first to explore interconnected variabilities among within crowdwork community. Through...

10.48550/arxiv.2409.04658 preprint EN arXiv (Cornell University) 2024-09-06

Despite a plethora of research dedicated to designing HITs for non-workstations, there is lack looking specifically into workers' perceptions the suitability these devices managing and completing work. In this work, we fill gap by conducting an online survey 148 workers on Amazon Mechanical Turk explore 1. how crowdworkers currently use their non-workstation complete manage crowdwork, 2. what challenges they face using those devices, 3. extent wish could if concerns were addressed. Our...

10.48550/arxiv.2409.04676 preprint EN arXiv (Cornell University) 2024-09-06

Human feedback plays a critical role in learning and refining reward models for text-to-image generation, but the optimal form should take an accurate function has not been conclusively established. This paper investigates effectiveness of fine-grained which captures nuanced distinctions image quality prompt-alignment, compared to traditional coarse-grained (for example, thumbs up/down or ranking between set options). While holds promise, particularly systems catering diverse societal...

10.1609/aies.v7i1.31637 article EN 2024-10-16

There is a growing interest in extending crowdwork beyond traditional desktop-centric design to include mobile devices (e.g., smartphones). However, mobilizing remains significantly tedious due lack of understanding about the usability requirements human intelligence tasks (HITs). We present taxonomy characteristics that defines HITs for smartphone devices. The developed based on findings from study three consecutive steps. In Step 1, we establish an initial our through targeted literature...

10.1145/3491102.3501876 article EN CHI Conference on Human Factors in Computing Systems 2022-04-28

The prevalence and impact of toxic discussions online have made content moderation crucial.Automated systems can play a vital role in identifying toxicity, reducing the reliance on human moderation.Nevertheless, comments for diverse communities continues to present challenges that are addressed this paper.The two-part goal study is to(1)identify intuitive variances from annotator disagreement using quantitative analysis (2)model subjectivity these viewpoints.To achieve our goal, we published...

10.48550/arxiv.2311.00203 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Non-workstation devices provide mobility in the sense that they enable work and play less constrained environments configurations. Workers have different needs preferences terms of practices impact work-life balance. One way to increase is allow for more choices both workstation non-workstation devices. This paper investigates whether workers' using are distinct. To understand these differences preference exist, we use data from an exploratory qualitative survey 150 crowdworkers Amazon...

10.1145/3544793.3560347 article EN 2022-09-11

Ehrhart polynomials are extensively-studied structures that interpolate the discrete volume of dilations integral $n$-polytopes. The coefficients polynomials, however, still not fully understood, and it is known when two polytopes have equivalent polynomials. In this paper, we establish a relationship between Ehrhart-equivalence other forms equivalence: $\operatorname{GL}_n(\mathbb{Z})$-equidecomposability unimodular equivalence $n$-polytopes in $\mathbb{R}^n$. We conjecture any...

10.48550/arxiv.2101.08771 preprint EN other-oa arXiv (Cornell University) 2021-01-01
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