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ORCIDQuality and User Experience, Volume 5
Volume 5, Number 1, 2020
- Carlos Díaz
, Marisa Ponti, Pinja Haikka, Rajiv Basaiawmoit, Jacob Friis Sherson:
More than data gatherers: exploring player experience in a citizen science game. - Alexandre De Masi, Katarzyna Wac:
Towards accurate models for predicting smartphone applications' QoE with data from a living lab study. - Anderson R. Avila, Jahangir Alam, Douglas D. O'Shaughnessy, Tiago H. Falk:
On the use of the i-vector speech representation for instrumental quality measurement. - Elijs Dima, Kjell Brunnström, Mårten Sjöström, Mattias Andersson, Joakim Edlund, Mathias Johanson, Tahir Qureshi:
Joint effects of depth-aiding augmentations and viewing positions on the quality of experience in augmented telepresence. - Åsa Cajander, Marta Lárusdóttir, Gustaf Hedström:
The effects of automation of a patient-centric service in primary care on the work engagement and exhaustion of nurses. - Hui Men, Vlad Hosu, Hanhe Lin, Andrés Bruhn, Dietmar Saupe:
Subjective annotation for a frame interpolation benchmark using artefact amplification. - Simone Croci, Cagri Ozcinar, Emin Zerman, Sebastian Knorr, Julián Cabrera, Aljosa Smolic:
Visual attention-aware quality estimation framework for omnidirectional video using spherical Voronoi diagram. - Hanhe Lin, Vlad Hosu, Chunling Fan, Yun Zhang, Yuchen Mu, Raouf Hamzaoui, Dietmar Saupe:
SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning. - Anderson R. Avila, Douglas D. O'Shaughnessy, Tiago H. Falk:
Non-intrusive speech quality prediction based on the blind estimation of clean speech and the i-vector framework. - Tobias Hoßfeld, Poul E. Heegaard, Lea Skorin-Kapov, Martín Varela:
Deriving QoE in systems: from fundamental relationships to a QoE-based Service-level Quality Index. - Asbjørn Følstad, Petter Bae Brandtzaeg:
Users' experiences with chatbots: findings from a questionnaire study.
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