Abstract
Domain-specific reviews created by the user on cloud gaming platforms offer valuable and cost effective information of high ecological validity. While the user generated content (UGC) has been used widely across many fields successfully in evaluating user experience and satisfaction, it has received proportionally less attention in the field of measuring the quality of experience (QoE) of cloud gaming. Besides, it remains an open question how well the UGC can be applied to measure the QoE of cloud gaming. In view of the poor performance of general purpose emotion lexicons (GPEL) in the modeling user experience of a specific product, this paper proposed a method of measuring the QoE of cloud gaming grounded on a Domain Specific Sentiment Lexicon (DSSL). This DSSL provides a structural distribution of the sentiment on 62 indicators. Its high criterion validity and discriminative power demonstrated the potential of transforming DSSL into a psychometric scale of QoE of cloud gaming.
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This paper is funded by Beijing University of Posts and Telecommunications-China Mobile Research Institute Joint Innovation Center.
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Wen, T., Li, S., Yan, H., Qin, X. (2023). Development of a Domain Specific Sentiment Lexicon (DSSL) for Evaluating the Quality of Experience (QoE) of Cloud Gaming. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2023. Lecture Notes in Computer Science(), vol 14051. Springer, Cham. https://doi.org/10.1007/978-3-031-35894-4_31
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