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- research-articleJune 2024Best Paper
Public Technologies Transforming Work of the Public and the Public Sector
- Seyun Kim,
- Bonnie Fan,
- Willa Yunqi Yang,
- Jessie Ramey,
- Sarah E Fox,
- Haiyi Zhu,
- John Zimmerman,
- Motahhare Eslami
CHIWORK '24: Proceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for WorkJune 2024, Article No.: 20, Pages 1–12https://doi.org/10.1145/3663384.3663407Technologies adopted by the public sector have transformed the work practices of employees in public agencies by creating different means of communication and decision-making. Although much of the recent research in the future of work domain has ...
- research-articleNovember 2023
Understanding Urban Economic Status through GNN-based Urban Representation Learning Using Mobility Data
UrbanAI '23: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AINovember 2023, Pages 71–80https://doi.org/10.1145/3615900.3628786With growing urban population and urban concentration, various data-driven efforts are being made to achieve sustainable growth to promote equity, inclusion, and well-being. Among abundant urban data, mobility data is a source with rich semantic about ...
- research-articleSeptember 2023
The social consequences of Machine Allocation Behavior: Fairness, interpersonal perceptions and performance
Computers in Human Behavior (COHB), Volume 146, Issue CSep 2023https://doi.org/10.1016/j.chb.2022.107628AbstractMachines increasingly decide over the allocation of resources or tasks among people resulting in what we call Machine Allocation Behavior. People respond strongly to how other people or machines allocate resources. However, the implications for ...
Highlights- Receiving more resources from an AI shapes how dominant group members are perceived.
- Collaborative Tetris is an effective platform for exploring fairness in groups.
- Fairness is better understood as a dynamic phenomenon that ...
- research-articleJanuary 2023
Multi-modal Based Region Representation Learning Considering Mobility Data in Seoul
Procedia Computer Science (PROCS), Volume 220, Issue C2023, Pages 251–258https://doi.org/10.1016/j.procs.2023.03.153AbstractAs we enter modern society, the form of cities becomes more complex and various things coexist. Therefore, there is a limit to simply understanding urban areas. Recently, research for expressing various semantics of urban areas using methods such ...
- research-articleJanuary 2023
Detecting socioeconomic changes of Chicago regions between 2013 and 2020 using urban region representation learning
Procedia Computer Science (PROCS), Volume 220, Issue C2023, Pages 259–266https://doi.org/10.1016/j.procs.2023.03.034AbstractUrban region representation learning aims to extract valuable insights for understanding urban dynamics from diverse and intricate urban data. Since human mobility is greatly related to the socioeconomic status in a city, existing studies have ...
- research-articleOctober 2022
Risk Analysis of Unmanned Aerial System Operations in Urban Airspace Considering Spatiotemporal Population Dynamics
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)Oct 2022, Pages 428–433https://doi.org/10.1109/ITSC55140.2022.9922030This study aims to estimate the fatality risk of Unmanned Aerial System (UAS) operations from a population perspective using high-resolution de facto population data. In doing so, it provides more practical risk values compared to the risk values derived ...
- research-articleSeptember 2022
EatingTrak: Detecting Fine-grained Eating Moments in the Wild Using a Wrist-mounted IMU
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 6, Issue MHCIArticle No.: 214, Pages 1–22https://doi.org/10.1145/3546749In this paper, we present EatingTrak, an AI-powered sensing system using a wrist-mounted inertial measurement unit (IMU) to recognize eating moments in a near-free-living semi-wild setup. It significantly improves the SOTA in time resolution using ...
- research-articleMarch 2022
Fairness and Transparency in Human-Robot Interaction
HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot InteractionMarch 2022, Pages 1244–1246As robots become more ubiquitous across human spaces, it is becoming increasingly relevant for researchers to ask the question, ''how can we ensure that we are designing robots to be sufficiently equipped to treat people fairly?''. This workshop brings ...
- short-paperOctober 2021
Accurate Online Tensor Factorization for Temporal Tensor Streams with Missing Values
CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge ManagementOctober 2021, Pages 2822–2826https://doi.org/10.1145/3459637.3482048Given a time-evolving tensor stream with missing values, how can we accurately discover latent factors in an online manner to predict missing values? Online tensor factorization is a crucial task with many important applications including the analysis ...
- research-articleOctober 2019
Evaluation on Diversity of Drivers’ Cognitive Stress Response using EEG and ECG Signals during Real-Traffic Experiment with an Electric Vehicle <sup>*</sup>
2019 IEEE Intelligent Transportation Systems Conference (ITSC)October 2019, Pages 3987–3992https://doi.org/10.1109/ITSC.2019.8916844Inference and prediction of drivers’ state is an important research topic in relation to the rapidly increasing market in Adaptive Driver Assistance System (ADAS) and autonomous driving system in recent years. Driving stress has been a particular ...
- research-articleMay 2015
How social media engagement leads to sports channel loyalty
Computers in Human Behavior (COHB), Volume 46, Issue CMay 2015, Pages 158–167https://doi.org/10.1016/j.chb.2015.01.013We examined the effect of backchannel communication on sports channel loyalty.Three dimensions of social media engagement-functional, emotional, communal-were confirmed.The communal engagement has a direct effect on channel loyalty.The emotional ...
- research-articleJanuary 2014
Hierarchical Prediction and Context Adaptive Coding for Lossless Color Image Compression
IEEE Transactions on Image Processing (TIP), Volume 23, Issue 1January 2014, Pages 445–449https://doi.org/10.1109/TIP.2013.2293428This paper presents a new lossless color image compression algorithm, based on the hierarchical prediction and context-adaptive arithmetic coding. For the lossless compression of an RGB image, it is first decorrelated by a reversible color transform and ...
- articleApril 2011
A New Overlap Save Algorithm for Fast Block Convolution and Its Implementation Using FFT
Journal of Signal Processing Systems (JSPS), Volume 63, Issue 1April 2011, Pages 143–152https://doi.org/10.1007/s11265-010-0466-9Convolution of data with a long-tap filter is often implemented by overlap save algorithm (OSA) using fast Fourier transform (FFT). But there are some redundant computations in the traditional OSA because the FFT is applied to the overlapped data (...
- ArticleNovember 2009
Edge detection using morphological amoebas in noisy images
ICIP'09: Proceedings of the 16th IEEE international conference on Image processingNovember 2009, Pages 2145–2148Edge detection is a significant step in image processing. Morphological edge detectors developed until now used a fixed structuring element (SE) on all the image pixels; however, they cannot consider the local features of an image due to the fixed SE ...
- research-articleAugust 2009
A statistical method for structure learning of Bayesian networks from data
ICHIT '09: Proceedings of the 2009 International Conference on Hybrid Information TechnologyAugust 2009, Pages 75–78https://doi.org/10.1145/1644993.1645007The Bayesian network, a powerful tool for predicting and diagnosing uncertain phenomena, is used in various fields including artificial intelligence, business administration, and medical science. We use a statistical approach, and present a simple ...