77 citations · 158 across the 21 of their papers we have counts for
9 papers · 1 filter
Explanation Navigator: Rectifying Out-of-Scope Human Interpretations of Leaky AI Explanations through Conversational Guidance
Yueqing Xuan, Kacper Sokol, Danula Hettiachchi
As explanations of artificial intelligence systems proliferate, their recipients must grasp not only what they convey but also recognise what they cannot. We conducted an interview…
Applying Value Sensitive Design to Location-Based Services: Designing for Shared Spaces and Local Conditions
Hiruni Kegalle, Flora D. Salim, Mark Sanderson +2
Location-Based Services (LBS) such as ride-sharing, accommodation, food delivery, and location-driven social media platforms entangle digital systems with physical spaces, thereby…
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…
Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search
Kaixin Ji, Sachin Pathiyan Cherumanal, Johanne R. Trippas +4
Instruments such as eye-tracking devices have contributed to understanding how users interact with screen-based search engines. However, user-system interactions in audio-only chan…
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…
Comprehension Is a Double-Edged Sword: Over-Interpreting Unspecified Information in Intelligible Machine Learning Explanations
Yueqing Xuan, Edward Small, Kacper Sokol +2
Automated decision-making systems are becoming increasingly ubiquitous, which creates an immediate need for their interpretability and explainability. However, it remains unclear w…
Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations
Edward Small, Yueqing Xuan, Danula Hettiachchi +1
Explainable artificial intelligence techniques are developed at breakneck speed, but suitable evaluation approaches lag behind. With explainers becoming increasingly complex and a…
Proceedings of the CSCW 2021 Workshop -- Investigating and Mitigating Biases in Crowdsourced Data
Danula Hettiachchi, Mark Sanderson, Jorge Goncalves +5
This volume contains the position papers presented at CSCW 2021 Workshop - Investigating and Mitigating Biases in Crowdsourced Data, held online on 23rd October 2021, at the 24th A…
A Survey on Task Assignment in Crowdsourcing
Danula Hettiachchi, Vassilis Kostakos, Jorge Goncalves
Quality improvement methods are essential to gathering high-quality crowdsourced data, both for research and industry applications. A popular and broadly applicable method is task…