1. Study 8: Cross Validation Final Questionnaire Set
- Author
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Fitrianie, Siska, Brinkman, Willem-Paul, Bruijnes, Merijn, Abdulrahman, Amal, Li, Fengxiang, Baraka, Kim, van den Berghe, Rianne, Bernardet, Ulysses, Bosse, Tibor, Brazier, Frances, Browne, Jacob, Burger, Franziska, Chollet, Mathieu, Clark, Leigh, Cowan, Benjamin, Daher, Salam, Ding, Ding, Foerster, Frank, Gilmartin, Emer, Jonker, Catholijn, de Haas, Mirjam, Hashemian, Mojgan, Heyselaar, Evelien, Kim, Kangsoo, Koelle, Marion, Kuhnert, Barbara, Lindner, Felix, Linssen, Jeroen, Lucas, Gale, Lun, Wang, Martens, Chris, Molnár, Bálint, Norouzi, Nahal, Bierbach, Catharine, Pelachaud, Catherine, Richards, Deborah, Silvervarg, Annika, Tielman, Myrthe, Yalçın, Özge, Rajanen, Dorina, Lisetti, Christine, Rodriguez Lera, Francisco, Kunold, Laura, Morgan, Jay, Wächter, Laura, Ham, Jaap, Yasir, Muhammad, Kalvas, František, Barakova, Emilia, akalin, neziha, GHAZALI, AIMI, Alonso, Victoria, Kocaballi, A., Parthemore, Joel, Guerrero, Esteban, Neff, Michael, Torre, Ilaria, Beun, Robbert, Magyar, Gergely, Belhassein, Kathleen, hall, lynne, Kristoffersson, Annica, Olafsson, Stefan, de Vries, Roelof, van Waterschoot, Jelte, Zaga, Zaga, Cristina, Cristina, Charrier, Laurianne, Yacoubi, Alya, Roper, Abi, abdulrahman, amal, Zalake, Mohan, Carnell, Stephanie, Hindriks, Koen, Roohi, Samad, Ligthart, Mike, Sirocki, Jeffrey, Bönsch, Andrea, Howcroft, David, Ochs, Hudlicka, Eva, Gnewuch, Ulrich, Gunson, Nancie, Jingar, Monika, Hartmann, Tilo, van Miltenburg, Emiel, Cox, Samuel, Richards, Byronie, Kucherenko, Taras, Jonell, Patrik, Vilhjálmsson, Hannes, Wolfert, Pieter, Ranjbartabar, Hedieh, Wang, Isaac, Kun, Peter, Wicke, Philipp, HE, Yuan, Simoens, Pieter, Biancardi, Beatrice, Zibrek, Katja, McCoy, Joshua, Tsfasman, Maria, Vossen, Piek, Ribeiro, Tiago, Krause, Lea, Beinema, Tessa, and Curtis, Cassidy
- Subjects
Virtual Agent ,User Study ,Artificial Intelligence and Robotics ,Computer Sciences ,Questionnaire ,Graphics and Human Computer Interfaces ,Physical Sciences and Mathematics ,Robotics ,Evaluation Instruments ,Intelligent Agent - Abstract
In this study, we determine the generalization performance of the long and short questionnaire version (i.e. cross validation: fit model on data set from a new set of ASAs). It involves crowd workers on an online platform. They will be asked to use the questionnaire instrument to rate an interaction between an agent and a human user, which is displayed in a 30 second video clip.
- Published
- 2022
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