1 citations · 1 across the 5 of their papers we have counts for
6 papers
One Feedback System Does Not Fit All: Localising Data-to-Text Driver Coaching for the United Kingdom and Nigeria
Iniakpokeikiye Peter Thompson, Jawwad Baig, Ehud Reiter +1
Data-to-text driver coaching is often presented as a generic pipeline from telematics events to advice. This paper argues that its content requires localisation because usefulness…
Mobile Phone Sensor-based Nigerian Driving Dataset to Detect Alcohol-influenced Behaviours
Iniakpokeikiye Peter Thompson, Yi Dewei, Reiter Ehud
This paper presents a unique driving dataset collected in Nigeria via mobile phone sensors to support a machine learning model for detecting alcohol-influenced driving behaviours,…
An End-to-End System for Culturally-Attuned Driving Feedback using a Dual-Component NLG Engine
Iniakpokeikiye Peter Thompson, Yi Dewei, Reiter Ehud
This paper presents an end-to-end mobile system that delivers culturally-attuned safe driving feedback to drivers in Nigeria, a low-resource environment with significant infrastruc…
We Should Evaluate Real-World Impact
Ehud Reiter
The ACL community has very little interest in evaluating the real-world impact of NLP systems. A structured survey of the ACL Anthology shows that perhaps 0.1% of its papers contai…
Patient-Centred Explainability in IVF Outcome Prediction
Adarsa Sivaprasad, Ehud Reiter, David McLernon +3
This paper evaluates the user interface of an in vitro fertility (IVF) outcome prediction tool, focussing on its understandability for patients or potential patients. We analyse fo…
Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models
Adarsa Sivaprasad, Ehud Reiter
This paper addresses the unique challenges associated with uncertainty quantification in AI models when applied to patient-facing contexts within healthcare. Unlike traditional eXp…