Effectiveness of Lateral Auditory Collision Warnings: Should Warnings Be Toward Danger or Toward Safety? Jing Chen, Edin Šabić, Scott Mishler, Cody Parker, Motonori Yamaguchi
Very happy to announce that I have been published for the second time in the journal of Human Factors. In this work we investigated the impact of spatially oriented auditory warnings on drivers’ responses to potential collisions. The manuscript can be viewed below, or downloaded by clicking the “Download” button.
Examining the Role of Eye Movements During Conversational Listening in Noise Edin Šabić, Daniel Henning, Hunter Myuz, Audrey Morrow, Michael C. Hout, Justin A. MacDonald
Frontiers in Psychology
I am pleased to announce that one of my submitted manuscripts to Frontiers in Psychology has been published. Examining the Role of Eye Movements During Conversational Listening in Noise can be downloaded by clicking the download button below.
Healthcare and Anomaly Detection: Using Machine Learning to Predict Anomalies in Heart Rate Data Edin Šabić, David Keeley, Bailey Henderson, Sara Nannemann
Journal of AI & Society
Very recently I have been able to publish some anomaly detection research that I was conducting for Electronic Caregiver in AI & Society. I will be update with a pre-print, but if you have Springer access the manuscript can be downloaded here.
Toward a Better Understanding of In-Vehicle Auditory Warnings and Background Noise Edin Šabić, Jing Chen, Justin A. MacDonald
Journal of Human Factors
I am very happy to announce that one of my submitted manuscripts to Human Factors has been accepted! Toward a Better Understanding of In-Vehicle Auditory Warnings and Background Noise will appear in a future issue of Human Factors and is available now online at journals.sagepub.com and the accepted manuscript can be viewed for free on my ResearchGate.
Adaptive Auditory Alerts for Smart In-Vehicle Interfaces Edin Šabić, Daniel Henning, Justin A. MacDonald
HFES 2019 Proceedings Paper
This paper was accepted for presentation in Seattle, WA for HFES 2019. Generally, the research is an attempt to dynamically adjust how loud an alert is given based on background noise intensity. The published version is available online at journals.sagepub.com, and can be viewed free on my ResearchGate.
Recognition of Car Warnings: An Analysis of Various Alert Types Edin Šabić, Scott Mishler, Jing Chen, Bin Hu
CHI 2019 Extended Abstract
This research includes a comparison of multiple auditory alert types for presenting car warnings, and was the initial experiment of my Master’s. The published version can be found at dl.acm.org, but the full version of the extended abstract can also be downloaded by clicking here: CHI.
Research In Progress
My current research is divided into three main efforts:
- Publishing a Frontiers for Young Minds article for a younger audience (Ages 8 to 15) based on my published research in Frontiers in Psychology.
- Publishing my dissertation, Eye Movements and Machine Learning: Predicting User Search Targets.
- Investigating the capability of machine learning models in identifying speech disorders based on single phoneme recordings.