Effects of Pedagogical Agent's Personality and Emotional Feedback Strategy
on Chinese Students' Learning Experiences and Performance: A Study Based on
Virtual Tai Chi Training Studio
Learning Feedback
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Bian, Yulong
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Yang, Chenglei
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Guan, Dongdong
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Xiao, Sa
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Gao, Fengqiang
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Shen, Chia
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Meng, Xiangxu
Proceedings of the ACM CHI'16 Conference on Human Factors in Computing
Systems
2016-05-07
v.1
p.433-444
© Copyright 2016 ACM
Summary: In virtual learning environment, both personality and emotional features of
animated pedagogical agents (APAs) may influence learning. To investigate this
question, we developed four APAs with two distinct personality types and two
sets of gestures expressing distinct emotional feedback. Effects of APAs'
personality types and emotional feedback strategies on learning experiences and
performance were assessed experimentally using a virtual Tai Chi training
system. Fifty six participants completed the experiment. Results showed that
positive emotional feedback strategy led to better learning experiences and
performance than negative feedback strategy. Moreover, personality type had
significant effect on learning. Choleric APAs led to better performance than
Phlegmatic APAs. Personality types moderated the effect of emotional feedback
on learning satisfaction. Our study demonstrates that APAs with distinct
personality types and emotional feedback are important design parameters for
virtual learning environments.
Pmomo: Projection Mapping on Movable 3D Object
Real Reality Interfaces
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Zhou, Yi
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Xiao, Shuangjiu
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Tang, Ning
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Wei, Zhiyong
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Chen, Xu
Proceedings of the ACM CHI'16 Conference on Human Factors in Computing
Systems
2016-05-07
v.1
p.781-790
© Copyright 2016 ACM
Summary: We introduce Pmomo (acronym of projection mapping on movable object), a
dynamic projection mapping system that tracks the 6-DOF position of real-world
object, and shades it with virtual 3D contents by projection. The system can
precisely lock the projection on the moving object in real-time, even the one
with complex geometry. Based on depth camera, we developed a novel and robust
tracking method that samples the structure of the object into low-density point
cloud, then performs an adaptive searching scheme for the registration
procedure. As a fully interactive system, our method can handle both internal
and external complex occlusions, and can quickly track back the object even
when losing track. In order to further improve the realism of the projected
virtual textures, our system innovatively culls occlusions away from
projection, which is achieved by a facet-covering method. As a result, the
Pmomo system enables the possibility of new interactive Augmented Reality
applications that require high-quality dynamic projection effect.
Social influences on secure development tool adoption: why security tools
spread
Collaborative software development
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Xiao, Shundan
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Witschey, Jim
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Murphy-Hill, Emerson
Proceedings of ACM CSCW 2014 Conference on Computer-Supported Cooperative
Work and Social Computing
2014-02-15
v.1
p.1095-1106
© Copyright 2014 ACM
Summary: Security tools can help developers build more secure software systems by
helping developers detect or fix security vulnerabilities in source code.
However, developers do not always use these tools. In this paper, we
investigate a number of social factors that impact developers' adoption
decisions, based on a multidisciplinary field of research called diffusion of
innovations. We conducted 42 one-on-one interviews with professional software
developers, and our results suggest a number of ways in which security tool
adoption depends on developers' social environments and on the channels through
which information about tools is communicated. For example, some participants
trusted developers with strong reputations on the Internet as much as they
trust their colleagues for information about security tools.
A Practical Framework for Virtual Viewing and Relighting
Rendering
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Duan, Qi
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Yu, Jianjun
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Yang, Xubo
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Xiao, Shuangjiu
Proceedings of the 2007 International Conference on Entertainment Computing
2007-09-15
p.282-287
Keywords: Novel View Synthesis; Image-based Relighting; Image Measurement
© Copyright 2007 IFIP
Summary: Recently many practical applications have concerned with observing objects
that have specular reflection properties. They intend to know how the specular
reflections and other details vary according to different lighting conditions
and view positions. In this paper, we propose an innovative framework combining
the novel view synthesis algorithm and the relighting algorithm to fulfill
these requirements. Another important feature of this framework is that all the
algorithms are based on image without acquiring any 3D model which may contain
some high confidential secrets. Meanwhile an image measurement criterion is
proposed to verify the feasibility and effectiveness of the framework.
Interactive Image Based Relighting with Physical Light Acquisition
Rendering
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Yu, Jianjun
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Yang, Xubo
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Xiao, Shuangjiu
Proceedings of the 2007 International Conference on Entertainment Computing
2007-09-15
p.288-293
Keywords: Interactive; Image-based Relighting; Physical Light Acquisition; Lighting
Sensitive Display
© Copyright 2007 IFIP
Summary: We present an interactive image-based technique to relight real scene with
physical light sources acquisition. Firstly, basis images of the real scene are
acquired from a fixed viewpoint. Secondly, light direction is estimated and
physical light image is captured. Thirdly, measurement image between the
reference light image and the novel light image is computed for relighting
scene. We demonstrate the technique by interactively relighting a pre-captured
real scene using a hand held spotlight projecting light on a white paper.
GPU-based rendering and animation for Chinese painting cartoon
NPR and sketching
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Yuan, Manli
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Yang, Xubo
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Xiao, Shuangjiu
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Ren, Zheng
Proceedings of the 2007 Conference on Graphics Interface
2007-05-28
p.57-61
© Copyright 2007 Canadian Information Processing Society
Summary: This paper presents a real-time rendering system for generating a Chinese
ink-and-wash cartoon. The objective is to free the animators from laboriously
designing traditional Chinese painting appearance. The system constitutes a
morphing animation framework and a rendering process. The whole rendering
process is based on Graphic Process Unit (GPU), including interior shading,
silhouette extracting and background shading. Moreover, the morphing framework
is created to automatically generate Chinese painting cartoon from a set of
surface mesh models. These techniques can be applied to real-time Chinese style
entertainment application.
The Impact of Internalization and Familiarity On Trust and Adoption of
Recommendation Agents
Trust and Motivation
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Xiao, Sherrie
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Benbasat, Izak
Proceedings of the 2002 AIS SIGHCI Workshop on HCI Research in MIS
2002-12-14
p.8
Summary: This paper develops and tests a research model which reflects our
postulation that in agent-mediated ecommerce, a customer will adopt a customer
agent, such as a recommendation agent (RA), because the customer agent (an
agent) will internalize the real needs of the customer (a principal). We think
that Internalization will increase the customer's intention to adopt the RA
through increased cognitive trust and emotional trust, which is not purely
cognitive nor rational.
Our research model conceptualizes that both internalization and familiarity
will affect customer trust in an RA (including both cognitive trust and
emotional trust), and that customer trust in an RA will affect the intention to
adopt an RA as a delegated agent or as a decision aid. Internalization refers
to a customer's perception of how well an RA represents the customer's real
needs. New measures of cognitive trust, emotional trust, the intention to adopt
an RA as a delegated agent, the intention to adopt an RA as a decision aid, and
internalization have been developed. We have conducted a lab experiment and
used PLS to analyze the data.
The results support our postulation. We find that the total effects of
internalization on the two intentions to adopt an RA are 0.46 and 0.47
respectively. This means that a one standard deviation increase in
internalization will result in a 0.46 standard deviation increase in a
customer's intention to adopt the RA as a delegated agent and a 0.47 standard
deviation increase in a customer's intention to adopt the RA as a decision aid.
One standard deviation increase in internalization affects the intention to
adopt an RA through a 0.67 standard deviation increase in cognitive trust and
through a 0.61 standard deviation increase in emotional trust. It is
interesting to find that cognitive trust fully mediates the impact of
internalization on emotional trust, and that emotional trust fully mediates the
impact of cognitive trust on the intention to adopt an RA as a delegated agent
or as a decision aid. In addition, familiarity significantly increases
cognitive trust, while it does not significantly affect emotional trust.
