Educational Technology Research and Development, Год журнала: 2006, Номер 54(3), С. 223 - 243
Опубликована: Май 7, 2006
Язык: Английский
International Journal of Human-Computer Interaction, Год журнала: 2020, Номер 37(10), С. 903 - 921
Опубликована: Дек. 7, 2020
Physical closure of educational institutes worldwide due to the COVID-19 pandemic has resulted in emergence a new era video-based learning. The current circumstances are unique that have forced students use digital technologies for their learning purpose. However, successful usage such system relies on understanding adoption factors, which an integrated model is proposed based Technology Acceptance Model and Task Fit Model. Additionally, this work considers moderating effects gender inequality. Data collected from 232 all whom taken part full-semester online course times pandemic. A Partial Least Squares method used analyzing data. Results show positively fits into student's perception actual system. effect individual characteristics more than technology task-technology-fit chain. can predict 64.6% variance final dependent variable: Further, while found be significant, inequality non-significant. Finally, theoretical practical implications discussed.
Язык: Английский
Процитировано
175
International Journal of Human-Computer Studies, Год журнала: 2020, Номер 138, С. 102409 - 102409
Опубликована: Фев. 7, 2020
Embodied conversational agents (ECAs) are gaining interest to elicit user engagement and stimulate actual use of eHealth applications. In this literature review, we identify the researched design features for ECAs in eHealth, outcome variables that were used measure effect these what found effects each variable were. Searches performed Scopus, ACM Digital Library, PsychINFO, Pubmed IEEE Xplore resulting 1284 identified articles which 33 included. The speech and/or textual output its facial gaze expressions most common features. Little research was on agent's looks. measured often perception user's characteristics, relation with agent, system usage, intention use, usability behaviour change. Results show emotion relational seem positively affect characteristics also seems use. However, do not necessarily lead This review showed consensus is far from established. Follow-up should include more all features, especially a long-term, daily life setting, replication studies other contexts than eHealth.
Язык: Английский
Процитировано
171
Computers in Human Behavior, Год журнала: 2018, Номер 90, С. 308 - 314
Опубликована: Авг. 25, 2018
Язык: Английский
Процитировано
168
Computers in Human Behavior, Год журнала: 2020, Номер 109, С. 106359 - 106359
Опубликована: Апрель 1, 2020
Язык: Английский
Процитировано
168
Educational Psychology Review, Год журнала: 2021, Номер 34(1), С. 1 - 38
Опубликована: Июнь 30, 2021
Abstract For a long time, research on individuals learning in digital environments was primarily based cognitive-oriented theories. This paper aims at providing evidence that social processes affect individual with materials. Based these theories and empirical results, social-processes-augmented theory is suggested: the Cognitive-Affective-Social Theory of Learning Environments (CASTLE). CASTLE postulates cues materials activate schemata learners leading to enhanced (para-)social, motivational, emotional, metacognitive processes. To substantiate this theory, socio-cognitive are used, which predict influences Besides, previous findings presented assuming rising number materials, influence increases. Finally, consequences regarding design media discussed.
Язык: Английский
Процитировано
142
Опубликована: Май 11, 2024
Large language models (LLMs) have facilitated significant strides in generating conversational agents, enabling seamless, contextually relevant dialogues across diverse topics. However, the existing LLM-driven agents fixed personalities and functionalities, limiting their adaptability to individual user needs. Creating personalized agent personas with distinct expertise or traits can address this issue. Nonetheless, we lack knowledge of how people customize interact personas. In research, investigated users impact on interaction quality, diversity, dynamics. To end, developed CloChat, an interface supporting easy accurate customization LLMs. We conducted a study comparing participants CloChat ChatGPT. The results indicate that formed emotional bonds customized engaged more dynamic dialogues, showed interest sustaining interactions. These findings contribute design implications for future systems using
Язык: Английский
Процитировано
23
Educational Technology Research and Development, Год журнала: 2006, Номер 54(6), С. 569 - 596
Опубликована: Ноя. 21, 2006
Язык: Английский
Процитировано
297
Philosophical Transactions of the Royal Society B Biological Sciences, Год журнала: 2009, Номер 364(1535), С. 3559 - 3565
Опубликована: Ноя. 2, 2009
Anthropomorphic virtual agents can serve as powerful technological mediators to impact motivational outcomes such self-efficacy and attitude change. Such anthropomorphic be designed simulated social models in the Bandurian sense, providing influence 'role models'. Of particular value is capacity for designing optimized a target audience context. Importantly, visual presence appearance of have major on motivation affect regardless underlying technical sophistication. Empirical results different instantiations agent are reviewed both autonomous avatars that represent user.
Язык: Английский
Процитировано
249
Journal of Computer Assisted Learning, Год журнала: 2007, Номер 23(3), С. 220 - 234
Опубликована: Янв. 12, 2007
Abstract The potential of emotional interaction between human and computer has recently interested researchers in human–computer interaction. instructional impact this learning environments not been established, however. This study examined the emotion gender a pedagogical agent as companion (PAL) on social judgements, interest, self‐efficacy, learning. Two experiments investigated separately effects PAL's expression empathetic response. Experiment 1 focused (positive vs. negative neutral) (male female) with sample 142 male female college students literacy course. 2 response (responsive non‐responsive) 56 pre‐service teachers. Overall, results yielded main PAL dependent variables. In particular, had positive learner interest self‐efficacy; recall. findings imply that digital could be utilized to optimize students' motivation
Язык: Английский
Процитировано
202
Educational Technology Research and Development, Год журнала: 2011, Номер 59(2), С. 291 - 300
Опубликована: Фев. 26, 2011
Язык: Английский
Процитировано
170