Hci Markers: a Conceptual Framework for Using Human-computer Interaction Data to Detect Disease Processes
Year: 2011
Type: article
Abstract: HCI markers are those signals created during human-computer interaction (HCI) which might provide information about the cognitive, mental, psychological or physiological state of the user.This conceptual paper presents the concept of HCI markers and makes the analogy between these markers and biomarkers, which are used in medicine to identify the possibility of unusual physiological conditions such as cancer.It then suggests a list of variables that have been reported in the literature and which might potentially fill the role of HCI markers.It suggests a course of study to systematically identify these markers, and discusses the risks associated with the HCI marker approach.It emphasizes the extensive multidisciplinary and interdisciplinary work that is required to achieve the goal of making HCI markers a part of the toolkit of modern medicine.
Author: Yoram M. Kalman
Language: English
Topic: Emotion and Mood Recognition
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W764917928
