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20212025
most citedCOCOA: Cross Modality Contrastive Learning for Sensor Data

86 citations · 181 across the 37 of their papers we have counts for

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7 papers · 1 filter

cs.HC20256 cited

SenseSeek Dataset: Multimodal Sensing to Study Information Seeking Behaviors

Kaixin Ji, Danula Hettiachchi, Falk Scholer +2

Information processing tasks involve complex cognitive mechanisms that are shaped by various factors, including individual goals, prior experience, and system environments. Underst…

cs.HC202428 cited

Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health

Yongquan Hu, Shuning Zhang, Ting Dang +4

Integrating physiological signals such as electroencephalogram (EEG), with other data such as interview audio, may offer valuable multimodal insights into psychological states or n…

cs.HC20242 cited

Understanding Physiological Responses of Students Over Different Courses

Soundariya Ananthan, Nan Gao, Flora D. Salim

Student engagement plays a vital role in academic success with high engagement often linked to positive educational outcomes. Traditionally, student engagement is measured through…

cs.HC2024

GustosonicSense: Towards understanding the design of playful gustosonic eating experiences

Yan Wang, Humphrey O. Obie, Zhuying Li +3

The pleasure that often comes with eating can be further enhanced with intelligent technology, as the field of human-food interaction suggests. However, knowledge on how to design…

cs.HC2023

How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets

Danula Hettiachchi, Indigo Holcombe-James, Stephanie Livingstone +4

Crowdsourced annotation is vital to both collecting labelled data to train and test automated content moderation systems and to support human-in-the-loop review of system decisions…

cs.HC2022

Imagining Future Digital Assistants at Work: A Study of Task Management Needs

Yonchanok Khaokaew, Indigo Holcombe-James, Mohammad Saiedur Rahaman +11

Digital Assistants (DAs) can support workers in the workplace and beyond. However, target user needs are not fully understood, and the functions that workers would ideally want a D…