Paper Info
Title
Metrics, Metrics, Metrics: Negative Hedonicity
Abstract
A significant challenge is that in studies of human-computer interaction, the new technologies must themselves be evaluated for effectiveness as a component within a cognitive work system. This essay focuses on the possibility of measuring "negative hedonicity." This idea stems from a 2004 essay in IEEE Intelligent Systems, which presented the Pleasure Principle of HCC: "Good tools provide a feeling of direct engagement. They simultaneously provide a feeling of flow and challenge." Hedonic factors in human-computer interaction include positive affect and increased goal-oriented motivation. Negative hedonicity is the valuation of affect and motivation as negatively impacted by the work experience. This dimension is reflected in frustration, confusion, mental (or data) overload, automation surprise, and the creation of kluges and work-arounds. The authors outline a method for hedonic measurement in evaluating cognitive work and an approach to analyzing the data.
Year
DOI
Venue
2008
10.1109/MIS.2008.31
IEEE Intelligent Systems
Keywords
Field
DocType
hedonic measurement,negative hedonicity,significant challenge,hedonic factor,work experience,positive affect,cognitive work,goal-oriented motivation,cognitive work system,human-computer interaction,human computer interaction,work arounds,sociotechnical systems,switches,workstations,performance measurement,asynchronous communication,software metrics,machine intelligence,cognition,user interfaces,intelligent systems,artificial intelligence,investments
Intelligent decision support system,Electronic performance support systems,Computer science,Knowledge management,Cascading failure,Performance measurement,Sociotechnical system,Software metric,User interface,Decision aids
Journal
Volume
Issue
ISSN
23
2
1541-1672
Citations 
PageRank 
References 
3
0.50
8
Authors
3
Name
Order
Citations
PageRank
Robert R. Hoffman1837133.72
Peter Hancock230.50
Morris Marx330.50