Author:
Gloria Washington
Affiliation:
Clemson University, United States
Keyword(s):
OCC, Biosignal, Negative Affect.
Related
Ontology
Subjects/Areas/Topics:
Collaboration and e-Services
;
e-Business
;
Enterprise Information Systems
;
Human-Computer Interaction
;
Methodologies and Methods
;
Observation, Modeling and Prediction of User Behavior
;
Physiological Computing Systems
;
Usability
;
Usability and Ergonomics
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
Abstract:
Humans sometimes experience negative emotions caused by electronic devices that impede their task(s). User experience researchers have examined technology-caused negative affect by collecting task performance metrics, user feedback, and/or human physiological data like skin temperature or blood pressure for more insight. Much research has been done to determine the amount of negative affect produced by the humans during these events. However, these methods usually require the user to self-report their negative feelings through Likert scales, pressure-sensitive devices or other manual methods. Task performance measures have also been used in lieu of asking a user what they feel. In this research, we adapt OCC Theory for use with physiological data for quantifying negative affect in human-computer interactions, along with asking a person how they feel about an application. In addition, we observe how negative affect amounts impact task performance measures in a usability study by addin
g random system delays into an application to induce negative feelings. Results from this work showed productivity does not always degrade when negative feelings are experienced by a user. In addition, some types of negative affect may have the opposite effect and allow a user to increase their performance under the right conditions.
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