Explore 5 peer-reviewed studies by U Gadiraju in Crowdsourcing and Human-Computer Interaction (HCI) (2021–2025). Discover research powered by Prolific's participant panel.
This page lists 5 peer-reviewed papers authored or co-authored by U Gadiraju in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: G Allen, U Gadiraju
Year: 2025
Published in: Proceedings of the 4th Annual Symposium on ..., 2025 - dl.acm.org
Institution: TU Delft
Research Area: Gesture Recognition, Crowdsourcing, Input Modalities in HCI
Discipline: Human-Computer Interaction (HCI)
Switching input modalities in microtask crowdsourcing does not affect worker accuracy or perceived cognitive load but influences task completion time; ergonomically informed gestures can integrate effectively without impacting worker experiences.
Methods: A between-subjects study was conducted across 16 experimental conditions with varying input modality sequences to assess impacts on task outcomes and worker experiences.
Key Findings: Effect of switching input modalities on task completion time, accuracy, and perceived cognitive load among crowd workers.
DOI: https://doi.org/10.1145/3729176.3729184
Sample Size: 717
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Authors: V Robbemond, O Inel, U Gadiraju
Year: 2024
Published in: ... of the 30th ACM Conference on ..., 2022 - dl.acm.org
Institution: V Robbemond: Delft University of Technology, O Inel: Delft University of Technology, U Gadiraju: Delft University of Technology
Research Area: Explanation Modality in AI-assisted Decision Making
Discipline: Human-Computer Interaction (HCI)
The study explores the role of explanation modalities in AI-assisted credibility assessment tasks, finding that combined modalities (text and/or audio with graphics) enhance accuracy, trust, and usability compared to single-modality approaches.
Methods: A between-subjects experiment was conducted with six explanation modalities to evaluate their influence on user performance, trust, and usability in credibility assessments.
Key Findings: The effects of different explanation modalities on decision accuracy, system trust, and usability in an AI-assisted credibility assessment system.
DOI: 10.1145/3503252.3531311
Citations: 47
Sample Size: 375
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Authors: T Abbas, U Gadiraju
Year: 2023
Published in: Proceedings of the AAAI Conference on Human ..., 2022 - ojs.aaai.org
Institution: University of Southampton, Utrecht University
Research Area: Human-Computer Interaction (HCI)
Discipline: Human-Computer Interaction (HCI)
DOI: https://doi.org/10.1609/hcomp.v10i1.21983
Citations: 22
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Authors: J Oppenlaender, T Abbas, U Gadiraju
Year: 2022
Published in: ... of the ACM on Human-Computer ..., 2024 - dl.acm.org
Institution: University of Oulu, University of Tübingen, Aston University, Delft University of Technology
Research Area: Crowdsourcing, Research Best Practices, Human-Computer Interaction (HCI)
Discipline: Human-Computer Interaction (HCI)
The paper shows that pilot studies are widely used but poorly reported in crowdsourcing and HCI research, making studies harder to interpret, replicate, and trust. It proposes clear reporting guidelines to improve transparency, rigor, and data quality in human-subject experiments.
Citations: 6
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Authors: S Qiu, A Bozzon, MV Birk, U Gadiraju
Year: 2021
Published in: ... of the ACM on Human-Computer ..., 2021 - dl.acm.org
Institution: Delft University of Technology, Eindhoven University of Technology
Research Area: Crowdsourcing, Human-Computer Interaction (HCI) Design
Discipline: Human-Computer Interaction (HCI)
DOI: https://doi.org/10.1145/3476063
Citations: 34