Modeling self-efficacy in intelligent tutoring systems: An inductive approach

User Modeling and User-Adapted Interaction, Год журнала: 2007, Номер 18(1-2), С. 81 - 123

Опубликована: Дек. 13, 2007

Язык: Английский

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Social robots and virtual agents as lecturers for video instruction

Computers in Human Behavior, Год журнала: 2015, Номер 55, С. 1222 - 1230

Опубликована: Май 23, 2015

Язык: Английский

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A gender matching effect in learning with pedagogical agents in an immersive virtual reality science simulation

Journal of Computer Assisted Learning, Год журнала: 2018, Номер 35(3), С. 349 - 358

Опубликована: Ноя. 29, 2018

Abstract The main objective of this study is to determine whether boys and girls learn better when the characteristics pedagogical agent are matched gender learner while learning in immersive virtual reality (VR). Sixty‐six middle school students (33 females) were randomly assigned about laboratory safety with one two agents: Marie or a drone, who we predicted serve as role models for females males, respectively. results indicated that there significant interactions dependent variables performance during learning, retention, transfer, performing ( d = 0.98, 0.67, 1.03; performance, respectively) drone −0.41, −0.45, −0.23, respectively). suggest gender‐specific design agents may play an important VR environments.

Язык: Английский

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A study of demographic embodiments of product recommendation agents in electronic commerce

International Journal of Human-Computer Studies, Год журнала: 2010, Номер 68(10), С. 669 - 688

Опубликована: Июнь 1, 2010

Язык: Английский

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Initial Interaction Expectations with Robots: Testing the Human-To-Human Interaction Script

Communication Studies, Год журнала: 2015, Номер 67(2), С. 227 - 238

Опубликована: Дек. 21, 2015

As social robotics becomes more utilized and routine in everyday situations, individuals will be interacting with robots a variety of contexts. Centered on the use human-to-human interaction scripts, current study hypothesized that would uncertain, have less liking anticipate presence when they are told robot as opposed to another person. Additionally, two-time measurement model experiment explore perceptions either or human. Data were consistent hypotheses. Research questions examined from Time 1 2 for condition dependent variables. Findings discussed light future research studies.

Язык: Английский

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Embodied conversational agents for multimodal automated social skills training in people with autism spectrum disorders

PLoS ONE, Год журнала: 2017, Номер 12(8), С. e0182151 - e0182151

Опубликована: Авг. 10, 2017

Social skills training, performed by human trainers, is a well-established method for obtaining appropriate in social interaction. Previous work automated the process of training developing dialogue system that teaches communication through interaction with computer avatar. Even though previous simulated only considered acoustic and linguistic information, trainers take into account visual other non-verbal features. In this paper, we create evaluate closes gap considering audiovisual features smiling ratio head pose (yaw pitch). addition, was tested graduate students; applied our to children or young adults autism spectrum disorders. For experimental evaluation, recruited 18 members from general population 10 people disorders gave them proposed multimodal use. An experienced trainer rated users. We evaluated system's effectiveness comparing pre- post-training scores identified significant improvement their using system. Computer-based useful who experience difficulties. Such can be used teachers, therapists, rehabilitation supplemental use human-based anywhere anytime.

Язык: Английский

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Welcoming Our Robot Overlords: Initial Expectations About Interaction With a Robot

Communication Research Reports, Год журнала: 2014, Номер 31(3), С. 272 - 280

Опубликована: Июль 1, 2014

Because robots and other electronic agents perform increasingly social functions, people will soon face the possibility of more frequent human–robot interactions. But what kinds expectations do bring with them into these potential interactions? Based on a human-to-human interaction script, current research hypothesized that be uncertain about, anticipate less attraction to, expect presence when they to interact robot as opposed another human. An experiment was designed in which were told would either or person, each three measured. The data consistent hypotheses. These findings are discussed, avenues for future research.

Язык: Английский

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Gender affordances of conversational agents

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

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Detecting Dementia Through Interactive Computer Avatars

IEEE Journal of Translational Engineering in Health and Medicine, Год журнала: 2017, Номер 5, С. 1 - 11

Опубликована: Янв. 1, 2017

This paper proposes a new approach to automatically detect dementia. Even though some works have detected dementia from speech and language attributes, most applied detection using picture descriptions, narratives, cognitive tasks. In this paper, we propose computer avatar with spoken dialog functionalities that produces queries based on the mini-mental state examination, Wechsler memory scale-revised, other related neuropsychological questions. We recorded interactive data of dialogues 29 participants (14 15 healthy controls) extracted various audiovisual features. tried predict features two machine learning algorithms (support vector machines logistic regression). Here, show support outperformed regression, by they classified into groups 0.93 performance, as measured areas under receiver operating characteristic curve. also newly identified contributing features, e.g., gap before speaking, variations fundamental frequency, voice quality, ratio smiling. concluded our system has potential through systems can assist health care workers. addition, these findings could help medical personnel signs

Язык: Английский

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Reconsidering the voice effect when learning from a virtual human

Computers & Education, Год журнала: 2017, Номер 114, С. 193 - 205

Опубликована: Июль 11, 2017

Язык: Английский

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