愤慨一下
发表于 2025-3-26 23:38:08
Narcissus: Group and Individual Models to Support Small Group Worklitators; and . with 8 students. Results indicate that all these groups were able to understand and use . and that they considered it effective in modelling the group activity in useful ways. They particularly valued the support for scrutability. Key contributions of this work are the creation of a
ANA
发表于 2025-3-27 02:32:06
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中和
发表于 2025-3-27 06:51:05
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Perennial长期的
发表于 2025-3-27 12:22:16
Susan Bull,Peter Gardner,Norasnita Ahmad,Jeffrey Ting,Ben Clarke
Abjure
发表于 2025-3-27 14:15:17
0302-9743 o, Italy, on June 22-26, 2009. This annual conference was merged from the biennial conference series User Modeling, UM, and the conference on Adaptive Hypermedia and Adaptive Web-Based Systems, AH. The 53 papers presented together with 3 invited talks were carefully reviewed and selected from 125 su
exorbitant
发表于 2025-3-27 17:47:50
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无瑕疵
发表于 2025-3-27 23:42:15
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NOCT
发表于 2025-3-28 05:14:01
Tell Me Where You’ve Lived, and I’ll Tell You What You Like: Adapting Interfaces to Cultural Prefereity of MOCCA, the paper describes a study with 30 participants in which we compared UI preferences to MOCCA’s automatically generated UIs. Results confirm that automatically predicting cultural UI preferences is possible, paving the way for low-cost cultural UI adaptations.
Pillory
发表于 2025-3-28 08:42:18
Modeling User Affect from Causes and Effectsof emotional reactions. In previous work, we presented the performance and limitations of the model when using only causal information. In this paper, we discuss the addition of diagnostic information on user affective valence detected via an EMG sensor, and present an evaluation of the resulting model.
CAB
发表于 2025-3-28 14:16:40
Use and Trust of Simple Independent Open Learner Models to Support Learning within and across Coursetension to OLMlets, draws on the OLMlets learner models to display progress towards achieving learning outcomes applicable across courses. User logs demonstrate usage of each system, and questionnaire responses provide insight into the reasons for user trust in the environments.