Applying importance-performance analysis (IPA) to interpret the results of the user experience questionnaire (UEQ)
In recent years, user experience questionnaires have established themselves to measure various aspects of User Experience (UX). In addition to these questionnaires, an evaluation tool is usually offered so that the results of a study can be evaluated in the light of the questionnaire. As a rule, the...
| Autores: | , , , |
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| Tipo de documento: | artigo |
| Estado: | Versión aceptada para publicación |
| Data de publicação: | 2020 |
| País: | España |
| Recursos: | Universidad de Sevilla (US) |
| Repositório: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/168577 |
| Acesso em linha: | https://hdl.handle.net/11441/168577 https://doi.org/10.13052/jwe1540-9589.1926 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Importance-performance analysis IPA user experience UX factors User Experience Questionnaire UEQ |
| Resumo: | In recent years, user experience questionnaires have established themselves to measure various aspects of User Experience (UX). In addition to these questionnaires, an evaluation tool is usually offered so that the results of a study can be evaluated in the light of the questionnaire. As a rule, the evaluation consists of preparing the data and comparing it with a benchmark. Often this interpretation of the data is not sufficient as it only evaluates the current User Experience. However, it is desirable to determine exactly where there is a need for action. The User Experience Questionnaire (UEQ) is a common and valid questionnaire with an evaluation tool to measure and analyse the User Experience for a product or service. In our article we present an approach that evaluates the results from the User Experience Questionnaire using the importance-performance analysis (IPA). The aim is to create another possibility to interpret the results of the UEQ and to derive recommendations for action from them. In a study with 467 participants, we validated the approach presented with YouTube, WhatsApp, and Facebook. The results show that the IPA provides additional insights from which further recommendations for action can be derived. |
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