Gender affordances of conversational agents DOI
Sheryl Brahnam, Antonella De Angeli

Interacting with Computers, Год журнала: 2012, Номер 24(3), С. 139 - 153

Опубликована: Май 1, 2012

Journal Article Gender affordances of conversational agents Get access Sheryl Brahnam, Brahnam * aCollege Business Administration, Computer Information Systems, Missouri State University, 901 S. National, Springfield, MO 65804, USA Corresponding author. Tel.: +1 417 873 9979; fax: 836 6907. E-mail addresses:[email protected](S. Brahnam), [email protected] (A. De Angeli). Search for other works by this author on: Oxford Academic Google Scholar Antonella Angeli bManchester School, The University Manchester, UK Interacting with Computers, Volume 24, Issue 3, May 2012, Pages 139–153, https://doi.org/10.1016/j.intcom.2012.05.001 Published: 14 April 2012 history Received: 02 June 2010 Revision received: 05 March Accepted:

Язык: Английский

The Use of Immersive Virtual Reality in the Learning Sciences: Digital Transformations of Teachers, Students, and Social Context DOI
Jeremy N. Bailenson,

Nick Yee,

Jim Blascovich

и другие.

Journal of the Learning Sciences, Год журнала: 2008, Номер 17(1), С. 102 - 141

Опубликована: Фев. 15, 2008

Abstract This article illustrates the utility of using virtual environments to transform social interaction via behavior and context, with goal improving learning in digital environments. We first describe technology theories behind then report data from 4 empirical studies. In Experiment 1, we demonstrated that teachers augmented perception (i.e., receiving visual warnings alerting them students not enough teacher eye gaze) were able spread their attention more equally among than without perception. Experiments 2 3, by breaking rules spatial proximity exist physical space, can learn being center teacher's field view (compared periphery) closer farther away). 4, inserting co-learners who either model or distracting changed abilities experiment participants conformed co-learners. Results suggest will have a unique ability alter dynamics transformed interaction. would like thank Roy Pea, Byron Reeves, Stanford LIFE lab for helpful suggestions Sandra Okita Dan Schwartz as well detailed comments on an earlier draft this article. work was supported part National Science Foundation Grant 0527377. Notes

Язык: Английский

Процитировано

531

Examining the relationship among student perception of support, course satisfaction, and learning outcomes in online learning DOI
Sang Joon Lee,

Sandhya Srinivasan,

Trudian Trail

и другие.

The Internet and Higher Education, Год журнала: 2011, Номер 14(3), С. 158 - 163

Опубликована: Апрель 20, 2011

Язык: Английский

Процитировано

384

Should AI-Based, conversational digital assistants employ social- or task-oriented interaction style? A task-competency and reciprocity perspective for older adults DOI Creative Commons
Veena Chattaraman, Wi‐Suk Kwon, Juan E. Gilbert

и другие.

Computers in Human Behavior, Год журнала: 2018, Номер 90, С. 315 - 330

Опубликована: Авг. 27, 2018

Язык: Английский

Процитировано

342

Virtual Customer Service Agents: Using Social Presence and Personalization to Shape Online Service Encounters DOI Open Access
Tibert Verhagen,

Jaap van Nes,

Frans Feldberg

и другие.

Journal of Computer-Mediated Communication, Год журнала: 2014, Номер 19(3), С. 529 - 545

Опубликована: Фев. 17, 2014

By performing tasks traditionally fulfilled by service personnel and having a humanlike appearance, virtual customer agents bring classical elements to the web, which may positively influence satisfaction through eliciting social responses feelings of personalization. This paper sheds light on these dynamics proposing testing model drawing upon theories implicit personality, response, emotional contagion, interaction. The proposes friendliness, expertise, smile as determinants presence, personalization, online encounter satisfaction. An empirical study confirms cross-channel applicability friendliness expertise presence Overall, underlines that integration between technology personal aspects lead more encounters.

Язык: Английский

Процитировано

314

Teachable Agents and the Protégé Effect: Increasing the Effort Towards Learning DOI
Catherine C. Chase, Doris B. Chin, Marily Oppezzo

и другие.

Journal of Science Education and Technology, Год журнала: 2009, Номер 18(4), С. 334 - 352

Опубликована: Июнь 29, 2009

Язык: Английский

Процитировано

291

Do pedagogical agents make a difference to student motivation and learning? DOI
Steffi Heidig, Geraldine Clarebout

Educational Research Review, Год журнала: 2010, Номер 6(1), С. 27 - 54

Опубликована: Авг. 6, 2010

Язык: Английский

Процитировано

260

Instructor presence in instructional video: Effects on visual attention, recall, and perceived learning DOI Creative Commons
Jiahui Wang, Pavlo Antonenko

Computers in Human Behavior, Год журнала: 2017, Номер 71, С. 79 - 89

Опубликована: Янв. 30, 2017

Язык: Английский

Процитировано

213

Face-to-Face Interaction with Pedagogical Agents, Twenty Years Later DOI Open Access
W. Lewis Johnson, James C. Lester

International Journal of Artificial Intelligence in Education, Год журнала: 2015, Номер 26(1), С. 25 - 36

Опубликована: Сен. 24, 2015

Язык: Английский

Процитировано

187

The Cognitive-Affective-Social Theory of Learning in digital Environments (CASTLE) DOI Creative Commons
Sascha Schneider, Maik Beege, Steve Nebel

и другие.

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

141

Educational applications of artificial intelligence in simulation-based learning: A systematic mapping review DOI Creative Commons
Chih‐Pu Dai, Fengfeng Ke

Computers and Education Artificial Intelligence, Год журнала: 2022, Номер 3, С. 100087 - 100087

Опубликована: Янв. 1, 2022

The field of education has experienced a transformation as artificial intelligence (AI) becomes increasingly applicable for learning purposes. AI the potential to transform social interactions in educational contexts among learners, teachers, and technologies. In this systematic mapping review, we focus on framing trends applications simulation-based learning. Fifty-nine studies met inclusion exclusion criteria. We coded analyzed six mapped categories literature review: (1) year-of-study trend, (2) methods, (3) technologies, (4) simulation, (5) study trends, (6) principles theories. To provide nuanced details from included literature, also synthesized three thematic trends: built virtual agents learning, infused with affective computing, leveraged assessments. Trend One builds general acknowledgement guide situated Two posits role states trajectories suggests related machine approaches. Three discusses techniques multimodal computing used assessment feedback. paper concludes implications suggestions research practice using

Язык: Английский

Процитировано

140