Year: 2000
Type: dissertation
Abstract: Automated user-feedback systems are set up in parallel with two different machineuser interfaces in actual work environments and evaluated in their effectiveness in providing the designers and service providers with user satisfaction data.One system is set up to provide feedback on a web-based software interface.The other is connected to a shared physical device, a coffee machine, using a tangible interface.The goal of both systems is to collect satisfaction data from users through natural, social, proactive, affect-based interfaces and correlate the data on the user's affective state with the machine's internal state to isolate critical states for service or redesign.By these means, the systems provide service providers and designers with design and service evaluations based on a human-value heuristic: the level of emotional satisfaction experienced by users.Patterns are examined from the collected data, revealing some data for redesign or re-prioritizing of services.Seven principles for automated feedback design are extracted from experience during the study.
Author: Matthew Rowan Norwood
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2207417340