e-Seesaw: A Tangible, Ludic, Parent-child, Awareness System
Late-Breaking Works: Games & Playful Interaction
/
Sun, Yingze
/
Aylett, Matthew P.
/
Vazquez-Alvarez, Yolanda
Extended Abstracts of the ACM CHI'16 Conference on Human Factors in
Computing Systems
2016-05-07
v.2
p.1821-1827
© Copyright 2016 ACM
Summary: In modern China, the pace of life is becoming faster and working pressure is
increasing often leading to pressure on families and family interaction. 23
pairs of working parents and their children were asked what they saw as their
main communication challenges and how they currently used communication
technology to stay in touch. The mobile phone was the dominant form of
communication despite being poorly rated by children as a way of enhancing a
sense of connection and love. Parents and children were presented with a series
of design probes to investigate how current communication technology might be
supported or enhanced with a tangible and playful awareness system. One of the
designs, the e-Seesaw, was selected and evaluated in a lab and home setting.
Participant reaction was positive with the design provoking a novel perspective
on remote parent-child interaction allowing even very young children to both
initiate and control communication.
Lyricon (Lyrics + Earcons) Improves Identification of Auditory Cues
Information Design
/
Sun, Yuanjing
/
Jeon, Myounghoon
DUXU 2015: Fourth International Conference on Design, User Experience, and
Usability, Part II: Users and Interactions
2015-08-02
v.2
p.382-389
Keywords: Auditory display; Auditory icons; Auditory user interface; Cognitive
mapping; Earcons; Lyricons; Sonification
© Copyright 2015 Springer International Publishing Switzerland
Summary: Auditory researchers have developed various non-speech cues in designing
auditory user interfaces. A preliminary study of "lyricons" (lyrics + earcons
[1]) has provided a novel approach to devising auditory cues in electronic
products, by combining the concurrent two layers of musical speech and earcons
(short musical motives). An experiment on sound-function meaning mapping was
conducted between earcons and lyricons. It demonstrated that lyricons
significantly more enhanced the relevance between the sound and the meaning
compared to earcons. Further analyses on error type and confusion matrix show
that lyricons showed a higher identification rate and a shorter mapping time
than earcons. Factors affecting auditory cue identification and application
directions of lyricons are discussed.
Minimum information entropy based q-matrix learning in DINA model
Posters
/
Ye, Shiwei
/
Sun, Yuan
/
Wang, Haobo
/
Sun, Yi
LAK'15: 2015 International Conference on Learning Analytics and Knowledge
2015-03-16
p.404-405
© Copyright 2015 ACM
Summary: Cognitive diagnosis models (CDMs) are of growing interest in test
development and measurement of learners' performance. The DINA (deterministic
input, noisy, and gate) model is one of the most widely used models in CDM. In
this paper, we propose a new method and present an alternating recursive
algorithm to learn Q-matrix and uncertainty variables, slip and guessing
parameters, based on Boolean Matrix Factorization (BMF) and Minimized
Information Entropy (MIE) respectively for the DINA model. Simulation results
show that our algorithm for Q-matrix learning has fast convergence to the local
optimal solutions for Q-matrix and students' knowledge states A matrix. This is
especially important and applicable when the method is extended to big data.
Reliving the Past & Making a Harmonious Society Today: A Study of
Elderly Electronic Hackers in China
Hacking and Making
/
Sun, Yuling
/
Lindtner, Silvia
/
Ding, Xianghua
/
Lu, Tun
/
Gu, Ning
Proceedings of ACM CSCW 2015 Conference on Computer-Supported Cooperative
Work and Social Computing
2015-02-28
v.1
p.44-55
© Copyright 2015 ACM
Summary: This paper tells a story of DIY (do it yourself) making that does not neatly
fit more familiar narratives of making: as individual empowerment, as a
democratizing force, and as technoscientific innovation. Drawing on
ethnographic research with a collective of elderly electronic hackers in China,
we provide insights into the socio-technical and politico-economic processes of
hacking and making. This paper examines how the activity of making functioned
for elderly DIY enthusiasts as way of remaking and reliving the past and as a
means for expressing class belonging and citizenship. We show that making and
hacking is not practiced in a void independent of social, political or economic
forces. Rather, making unfolds in relation to, and is contingent on, societal
norms and specific techno-cultural histories. As much as hacking empowers
certain people, it excludes others and functions as a site for the exercise of
power and social distinction making.
Meta-Path-Based Ranking with Pseudo Relevance Feedback on Heterogeneous
Graph for Citation Recommendation
R Session 2: Models
/
Liu, Xiaozhong
/
Yu, Yingying
/
Guo, Chun
/
Sun, Yizhou
Proceedings of the 2014 ACM Conference on Information and Knowledge
Management
2014-11-03
p.121-130
© Copyright 2014 ACM
Summary: The sheer volume of scholarly publications available online significantly
challenges how scholars retrieve the new information available and locate the
candidate reference papers. While classical text retrieval and pseudo relevance
feedback (PRF) algorithms can assist scholars in accessing needed publications,
in this study, we propose an innovative publication ranking method with PRF by
leveraging a number of meta-paths on the heterogeneous bibliographic graph.
Different meta-paths on the graph address different ranking hypotheses, whereas
the pseudo-relevant papers (from the retrieval results) are used as the seed
nodes on the graph. Meanwhile, unlike prior studies, we propose "restricted
meta-path" facilitated by a new context-rich heterogeneous network extracted
from full-text publication content along with citation context. By using
learning-to-rank, we integrate 18 different meta-path-based ranking features to
derive the final ranking scores for candidate cited papers. Experimental
results with ACM full-text corpus show that meta-path-based ranking with PRF on
the new graph significantly (p < 0.0001) outperforms text retrieval
algorithms with text-based or PageRank-based PRF.
Modeling Topic Diffusion in Multi-Relational Bibliographic Information
Networks
KM Session 7: Social Networks & Social Media III
/
Gui, Huan
/
Sun, Yizhou
/
Han, Jiawei
/
Brova, George
Proceedings of the 2014 ACM Conference on Information and Knowledge
Management
2014-11-03
p.649-658
© Copyright 2014 ACM
Summary: Information diffusion has been widely studied in networks, aiming to model
the spread of information among objects when they are connected with each
other. Most of the current research assumes the underlying network is
homogeneous, i.e., objects are of the same type and they are connected by links
with the same semantic meanings. However, in the real word, objects are
connected via different types of relationships, forming multi-relational
heterogeneous information networks.
In this paper, we propose to model information diffusion in such
multi-relational networks, by distinguishing the power in passing information
around for different types of relationships. We propose two variations of the
linear threshold model for multi-relational networks, by considering the
aggregation of information at either the model level or the relation level. In
addition, we use real diffusion action logs to learn the parameters in these
models, which will benefit diffusion prediction in real networks. We apply our
diffusion models in two real bibliographic information networks, DBLP network
and APS network, and experimentally demonstrate the effectiveness of our models
compared with single-relational diffusion models. Moreover, our models can
determine the diffusion power of each relation type, which helps us understand
the diffusion process better in the multi-relational bibliographic network
scenario.
Computing Multi-Relational Sufficient Statistics for Large Databases
KM Session 16: Large-Scale Machine Learning
/
Qian, Zhensong
/
Schulte, Oliver
/
Sun, Yan
Proceedings of the 2014 ACM Conference on Information and Knowledge
Management
2014-11-03
p.1249-1258
© Copyright 2014 ACM
Summary: Databases contain information about which relationships do and do not hold
among entities. To make this information accessible for statistical analysis
requires computing sufficient statistics that combine information from
different database tables. Such statistics may involve any number of positive
and negative relationships. With a naive enumeration approach, computing
sufficient statistics for negative relationships is feasible only for small
databases. We solve this problem with a new dynamic programming algorithm that
performs a virtual join, where the requisite counts are computed without
materializing join tables. Contingency table algebra is a new extension of
relational algebra, that facilitates the efficient implementation of this
Möobius virtual join operation. The Möbius Join scales to large
datasets (over 1M tuples) with complex schemas. Empirical evaluation with seven
benchmark datasets showed that information about the presence and absence of
links can be exploited in feature selection, association rule mining, and
Bayesian network learning.
MemoryRetrospect: lifelogging with social awareness
Posters
/
Liu, Lipeng
/
Li, Rong
/
Sun, Yongxiong
/
Li, Yinghan
/
Du, Zhanwei
/
Huang, Qiuyang
Adjunct Proceedings of the 2014 International Joint Conference on Pervasive
and Ubiquitous Computing
2014-09-13
v.2
p.103-106
© Copyright 2014 ACM
Summary: As a promising procedure of mobile application. So far, lifelogging has
already some initial attempts on photos, audios and video records. However,
they are just simple information recording tools, in which the receivers cannot
feel the senders with empathy in space or time. In this poster, we propose a
concept called MemoryRetrospect, which combines Lifelogging with Social
Awareness. It considers not only our daily photos and videos, but also the
weather, the locations and time. When and how to open the e-records can be set
by the senders' willing. Thus the receivers have a chance to feel the true
space-time meaning of the e-records. More exactly, every e-record will be
packaged in a capsule, which the senders are able to set with kinds of scenes
as the activation conditions for recipients. With this, the recipients can
experience and understand senders' happiness, beautiful moments and emotions at
some certain moment.
Full-text based context-rich heterogeneous network mining approach for
citation recommendation
Citation, citation, citation
/
Liu, Xiaozhong
/
Yu, Yingying
/
Guo, Chun
/
Sun, Yizhou
/
Gao, Liangcai
JCDL'14: Proceedings of the 2014 ACM/IEEE-CS Joint Conference on Digital
Libraries
2014-09-08
p.361-370
Keywords: Abstracts
Keywords: Citation analysis
Keywords: Context
Keywords: Data mining
Keywords: Educational institutions
Keywords: Focusing
Keywords: Inference algorithms
Keywords: Citation Recommendation
Keywords: Full-text Citation Analysis
Keywords: Heterogeneous Information Network
Keywords: Meta-Path
© Copyright 2014 IEEE
Summary: Citation relationship between scientific publications has been successfully
used for scholarly bibliometrics, information retrieval and data mining tasks,
and citation-based recommendation algorithms are well documented. While
previous studies investigated citation relations from various viewpoints, most
of them share the same assumption that, if paper1 cites paper2 (or author1
cites author2), they are connected, regardless of citation importance,
sentiment, reason, topic, or motivation. However, this assumption is
oversimplified. In this study, we employ an innovative "context-rich
heterogeneous network" approach, which paves a new way for citation
recommendation task. In the network, we characterize 1) the importance of
citation relationships between citing and cited papers, and 2) the topical
citation motivation. Unlike earlier studies, the citation information, in this
paper, is characterized by citation textual contexts extracted from the
full-text citing paper. We also propose algorithm to cope with the situation
when large portion of full-text missing information exists in the bibliographic
repository. Evaluation results show that, context-rich heterogeneous network
can significantly enhance the citation recommendation performance.
The interplay between users' intraorganizational social media use and social
capital
/
Sun, Yuan
/
Shang, Rong-An
Computers in Human Behavior
2014-08
v.37
n.0
p.334-341
Keywords: Intraorganizational social media
Keywords: Social capital
Keywords: Work-related use
Keywords: Social-related use
Keywords: Microblog
© Copyright 2014 Elsevier Ltd.
Summary: The wide acceptance of social media by the public has caused companies try
to use intraorganizational social media to increase employee work performance.
However, simply implementing a platform is insufficient for success. Companies
must encourage employees to use social media for work-related purposes. This
study divided the use of intraorganizational social media into social- and
work-related use and proposed a model based on the theory of social capital to
explore the effects of social-related use on work-related use. The model was
tested using a survey of users of intraorganizational microblog systems in
China. The results indicate the relationships among two types of
intraorganizational use and the dimensions of social capital, and that
social-related use fosters work-related use directly and indirectly by
enhancing social capital. These results facilitate an understanding of the
value of social activities conducted using intraorganizational social media in
organizations.
LCARS: A Spatial Item Recommender System
/
Yin, Hongzhi
/
Cui, Bin
/
Sun, Yizhou
/
Hu, Zhiting
/
Chen, Ling
ACM Transactions on Information Systems
2014-06
v.32
n.3
p.11
© Copyright 2014 ACM
Summary: Newly emerging location-based and event-based social network services
provide us with a new platform to understand users' preferences based on their
activity history. A user can only visit a limited number of venues/events and
most of them are within a limited distance range, so the user-item matrix is
very sparse, which creates a big challenge to the traditional collaborative
filtering-based recommender systems. The problem becomes even more challenging
when people travel to a new city where they have no activity information.
In this article, we propose LCARS, a location-content-aware recommender
system that offers a particular user a set of venues (e.g., restaurants and
shopping malls) or events (e.g., concerts and exhibitions) by giving
consideration to both personal interest and local preference. This recommender
system can facilitate people's travel not only near the area in which they
live, but also in a city that is new to them. Specifically, LCARS consists of
two components: offline modeling and online recommendation. The offline
modeling part, called LCA-LDA, is designed to learn the interest of each
individual user and the local preference of each individual city by capturing
item cooccurrence patterns and exploiting item contents. The online
recommendation part takes a querying user along with a querying city as input,
and automatically combines the learned interest of the querying user and the
local preference of the querying city to produce the top-k recommendations. To
speed up the online process, a scalable query processing technique is developed
by extending both the Threshold Algorithm (TA) and TA-approximation algorithm.
We evaluate the performance of our recommender system on two real datasets,
that is, DoubanEvent and Foursquare, and one large-scale synthetic dataset. The
results show the superiority of LCARS in recommending spatial items for users,
especially when traveling to new cities, in terms of both effectiveness and
efficiency. Besides, the experimental analysis results also demonstrate the
excellent interpretability of LCARS.
Understanding the users' continuous adoption of 3D social virtual world in
China: A comparative case study
/
Zhang, Xi
/
de Pablos, Patricia Ordóñez
/
Wang, Xiaojiong
/
Wang, Weiguang
/
Sun, Yongqiang
/
She, Jinghuai
Computers in Human Behavior
2014-06
v.35
n.0
p.578-585
Keywords: Social virtual world market
Keywords: China
Keywords: Users' continuous adoption
Keywords: Commitment theory
Keywords: Comparative case study
© Copyright 2014 Elsevier Ltd.
Summary: Internet-based 3D social virtual world (SVW) is a special social media with
3D interface, open-ended, immersive, and collaborative nature, which has
attracted interest among researchers and practitioners alike. This Chinese 3D
SVW market developed for nearly 8 years, from 2005 to 2013. After the
initiation stage (05-09), some new tendencies occurred in the maintenance stage
(09-13). Some local SVWs (e.g., HiPiHi) held advantages in attracting users in
the early stage but failed in the maintenance stage, but other companies (e.g.,
Uworld) attracted users' continuous adoption and commitment in long-term
competition. Based on customer commitment theory and diffusion of innovation
theory, we established a theoretical framework to explain how virtual world
strategies impact on short-term and long-term customer commitment. Based on
qualitative data (e.g., longitude observation and third-party report), this
research compares two major competitors' strategies in Chinese virtual world
market (i.e., HiPiHi and Uworld), and analyzes how their strategies succeeded
or failed to attract users' long-term commitment. The findings suggest there is
a "S-curve" for adoption rate of SVW users, and there is a "critical timeframe"
for persuading users' continuous adoptions. Social virtual worlds should try to
encourage users to reduce personalization and learning cost in the short-term,
after which they can then change the "vicious circle" to "virtuous circle."
Spatial augmented reality as a method for a mobile robot to communicate
intended movement
/
Coovert, Michael D.
/
Lee, Tiffany
/
Shindev, Ivan
/
Sun, Yu
Computers in Human Behavior
2014-05
v.34
n.0
p.241-248
Keywords: Augmented reality
Keywords: Mobile robot
Keywords: HRI communication
Keywords: Modality
© Copyright 2014 Elsevier Ltd.
Summary: Our work evaluates a mobile robot's ability to communicate intended
movements to humans via projection of visual arrows and a simplified map.
Humans utilize a variety of techniques to signal intended movement in a
co-occupied space. We evaluated an augmented reality projection provided by the
robot. The projection is on the floor and consists of arrows and a simplified
map. Two pilots and one quasi-experiment were conducted to examine the
effectiveness of visual projection of arrows by a robot for signaling intended
movement. The pilot work demonstrates the effectiveness of utilizing arrows as
a communication medium. The experiment examined the effectiveness of a
simplified map and arrows for signaling the short-, mid-range, and long-term
intended movement. Two pilot experiments confirm that arrows are an effective
symbol for a robot to use to signal intent. A field experiment demonstrates
that a robot can use a projected arrow and simplified map to signal its
intended movement and people understand the projection for upcoming short-,
medium-, and long-term movement. Augmented reality, such as projected arrows
and simplified map, are an effective tool for robots to use when signaling
their upcoming movement to humans. Telepresence robots in organizations, museum
docents, information kiosks, hospital assistants, factories, and as members of
search and rescue teams are typical applications where mobile robots reside and
interact with people.
Being senior and ICT: a study of seniors using ICT in China
Engaging older adults through technology
/
Sun, Yuling
/
Ding, Xianghua
/
Lindtner, Silvia
/
Lu, Tun
/
Gu, Ning
Proceedings of ACM CHI 2014 Conference on Human Factors in Computing Systems
2014-04-26
v.1
p.3933-3942
© Copyright 2014 ACM
Summary: System design for seniors often focuses on the decline of their biological
capabilities and social connectedness. This approach has been challenged as too
simplistic to capture what it really means to be senior. This paper presents a
qualitative study of 17 seniors in urban China (age ranging from 50s to 70s),
who have adopted and incorporated ICT into their daily lives. Findings from
this study show that the ways in which seniors attend to ICT are not simply
shaped by changes in health or other wellbeing, but also by their life
attitudes, value systems, relationships to younger generations as well as
historical specifics during their coming of age. This paper contributes by
showing that 1) what it means to be senior is shaped from within a whole social
ecology of past and current experiences, values and interactions; 2) senior
identities are not fixed, but continuously negotiated, articulated and enacted
through ICT; 3) social interaction and access of technologies are highly
intertwined.
A Novel Social Event Recommendation Method Based on Social and Collaborative
Friendships
/
Sun, Yu-Chun
/
Chen, Chien Chin
Proceedings of the 2013 International Conference on Social Informatics
2013-11-25
p.109-118
Keywords: social network; recommendation systems; friendship analysis
© Copyright 2013 Springer
Summary: Many social network sites (SNSs) provide social event functions to
facilitate user interactions. However, it is difficult for users to find
interesting events among the huge number posted on such sites. In this paper,
we investigate the problem and propose a social event recommendation method
that exploits user's social and collaborative friendships to recommend events
of interest. As events are one-and-only items, their ratings are not available
until they are over. Hence, traditional recommendation methods are incapable of
event recommendation because they need sufficient ratings to generate
recommendations. Instead of using ratings, we analyze the behavior patterns of
social network users to measure their social and collaborative friendships. The
friendships are aggregated to identify the acquaintances of a user and events
relevant to the preferences of the acquaintances and the user are recommended.
The results of experiments show that the proposed method is effective and it
outperforms many well-known recommendation methods.
From Diagram to Network
/
Sun, Yanan
Proceedings of the 2013 International Conference Workshops on Social
Informatics
2013-11-25
p.100-109
Keywords: multi-mode network; historic network research; art history; art-history
diagram
© Copyright 2013 Springer
Summary: This paper aims to remove a constraint of applying network approach to art
history. First, it points out, although old diagrams of art history did not use
the language of modern network theory, they have already shown ingenuous
network thinking to theorize the development of arts. Meanwhile, the indirect
visual devices and the embracive tradition of these diagrams, which includes
entities in various properties, prevent the application of computer-aided
network methods to decipher and re-analyze the contents of this heritage of art
historical research. To break this shackle, this paper suggests a multi-mode
network approach to "translate" the traditional network thinking of art
diagrams to the conceptualization of graph-theoretical network analysis. By
doing so, this paper demonstrates how art historical research could benefit
from modern sociological approach to network theory. To explain the usefulness
and advantage of this method, the diagrams of Covarrubias and Barr are taken as
examples to be converted into graph-theoretical networks.
Recommendation in heterogeneous information networks with implicit user
feedback
Poster session
/
Yu, Xiao
/
Ren, Xiang
/
Sun, Yizhou
/
Sturt, Bradley
/
Khandelwal, Urvashi
/
Gu, Quanquan
/
Norick, Brandon
/
Han, Jiawei
Proceedings of the 2013 ACM Conference on Recommender Systems
2013-10-12
p.347-350
© Copyright 2013 ACM
Summary: Recent studies suggest that by using additional user or item relationship
information when building hybrid recommender systems, the recommendation
quality can be largely improved. However, most such studies only consider a
single type of relationship, e.g., social network. Notice that in many
applications, the recommendation problem exists in an attribute-rich
heterogeneous information network environment. In this paper, we study the
entity recommendation problem in heterogeneous information networks. We propose
to combine various relationship information from the network with user feedback
to provide high quality recommendation results.
The major challenge of building recommender systems in heterogeneous
information networks is to systematically define features to represent the
different types of relationships between entities, and learn the importance of
each relationship type. In the proposed framework, we first use meta-path-based
latent features to represent the connectivity between users and items along
different paths in the related information network. We then define a
recommendation model with such latent features and use Bayesian ranking
optimization techniques to estimate the model. Empirical studies show that our
approach outperforms several widely employed implicit feedback entity
recommendation techniques.
HathiTrust research center: computational access for digital humanities and
beyond
Posters
/
Plale, Beth
/
McDonald, Robert
/
Sun, Yiming
/
Kouper, Inna
/
Cobine, Ryan
/
Downie, J. Stephen
/
Namachchivaya, Beth Sandore
/
Unsworth, John
JCDL'13: Proceedings of the 2013 ACM/IEEE-CS Joint Conference on Digital
Libraries
2013-07-22
p.395-396
© Copyright 2013 ACM
Summary: Academic libraries are increasingly looking to provide services that allow
their users to work with digital collections in innovative ways, for example,
to analyze large volumes of digitized collections. The HathiTrust Research
Center (HTRC) is a large collaborative that provides an innovative research
infrastructure for dealing with massive amounts of digital texts. In this
poster, we report on the technical progress of the HTRC as well as on the
efforts to build a user community around our cyberinfrastructure.
Development of Recognition System of Japanese Sign Language Using 3D Image
Sensor
Universal Access and eInclusion
/
Sun, Yanhua
/
Kuwahara, Noriaki
/
Morimoto, Kazunari
HCI International 2013: 15th International Conference on HCI: Posters'
Extended Abstracts Part I
2013-07-21
v.6
p.286-290
Keywords: Japanese Sign Language; Kinect; Recognition of JSL; 3D Sensor
© Copyright 2013 Springer-Verlag
Summary: The population of Japanese people with disabilities is growing day by day.
And the population of sign language translator is too few to support them. In
general life, people communicate with others through conversation but this is
obviously impossible for deaf mute people who use sign language to communicate.
So it is necessary to explore a recognition system of sign language which can
help the deaf and mute to keep in touch with others. In order to solve that
problem, a large amount of researches related to recognition system development
and establishment have been reported by previous literatures. However, current
paper introduced a novel method for system developing. In this paper, 3D
sensors called Kinect were employed for hand gesture dataset's collection
following by data dealing from transformation matrix based on specific
formulas. Although the hand gesture can be captured, but there still are a lot
of noises left, so PCL (Point Cloud Library) was applied to do the 3D data
processing.
Spatial Augmented Reality on Person: Exploring the Most Personal Medium
Interaction in Augmented and Virtual Environments
/
Johnson, Adrian S.
/
Sun, Yu
VAMR 2013: 5th International Conference on Virtual, Augmented and Mixed
Reality, Part I: Designing and Developing Augmented and Virtual Environments
2013-07-21
v.1
p.169-174
Keywords: spatial augmented reality; self-referential encoding; education
© Copyright 2013 Springer-Verlag
Summary: Spatial Augmented Reality (SAR) allows users to collaborate without need for
see-through screens or head-mounted displays. We explore natural on-person
interfaces using SAR. Spatial Augmented Reality on Person (SARP) leverages
self-based psychological effects such as Self-Referential Encoding (SRE) and
ownership by intertwining augmented body interactions with the self.
Applications based on SARP could provide powerful tools in education, health
awareness, and medical visualization. The goal of this paper is to explore
benefits and limitations of generating ownership and SRE using the SARP
technique. We implement a hardware platform which provides a Spatial Augmented
Game Environment to allow SARP experimentation. We test a STEM educational game
entitled 'Augmented Anatomy' designed for our proposed platform with experts
and a student population in US and China. Results indicate that learning of
anatomy on-self does appear correlated with increased interest in STEM and is
rated more engaging, effective and fun than textbook-only teaching of
anatomical structures.
Cognitive-Affective Interactions in Strategic Decision Making
Understanding and Modelling Cognition
/
Sun, Yanlong
/
Wang, Hongbin
FAC 2013: 7th International Conference on Foundations of Augmented Cognition
2013-07-21
p.512-520
Keywords: Decision making; social dilemma; ultimatum game; affective induction;
fairness preference; valence; arousal
© Copyright 2013 Springer-Verlag
Summary: While making a decision to maximize the expected utility is among the prime
examples of human intelligence, the ultimatum game showcases a social dilemma
where people sacrifice their economic self-interest in the presence of negative
emotions. In the present study, we explore human cognitive-affective
interactions in strategic thinking from an integrated neurocomputational
perspective. We manipulated participants' emotions by inducing incidental
affective states in the ultimatum game. We found that participants' rejection
rates of unfair offers were significantly lower in positive valence emotions
("happy" and "calm") than in negative valence emotions ("sad" and "anxious").
In addition, the reduction of rejection rates appeared to be independent of the
arousal level (high arousal in "happy" and "anxious" versus low arousal in
"calm" and "sad"). Our results suggested that positive valence emotions, by
broadening people's evaluations of decision perspectives and alleviating the
perception of unfairness, may help people regain focus on their economic
self-interest.
User guided entity similarity search using meta-path selection in
heterogeneous information networks
Information retrieval short paper session
/
Yu, Xiao
/
Sun, Yizhou
/
Norick, Brandon
/
Mao, Tiancheng
/
Han, Jiawei
Proceedings of the 2012 ACM Conference on Information and Knowledge
Management
2012-10-29
p.2025-2029
© Copyright 2012 ACM
Summary: With the emergence of web-based social and information applications, entity
similarity search in information networks, aiming to find entities with high
similarity to a given query entity, has gained wide attention. However, due to
the diverse semantic meanings in heterogeneous information networks, which
contain multi-typed entities and relationships, similarity measurement can be
ambiguous without context. In this paper, we investigate entity similarity
search and the resulting ambiguity problems in heterogeneous information
networks. We propose to use a meta-path-based ranking model ensemble to
represent semantic meanings for similarity queries, exploit the possibility of
using user-guidance to understand users query. Experiments on real-world
datasets show that our framework significantly outperforms competitor methods.
Location selection for utility maximization with capacity constraints
Databases short paper session
/
Sun, Yu
/
Huang, Jin
/
Chen, Yueguo
/
Zhang, Rui
/
Du, Xiaoyong
Proceedings of the 2012 ACM Conference on Information and Knowledge
Management
2012-10-29
p.2154-2158
© Copyright 2012 ACM
Summary: Given a set of client locations, a set of facility locations where each
facility has a service capacity, and the assumptions that: (i) a client seeks
service from its nearest facility; (ii) a facility provides service to clients
in the order of their proximity, we study the problem of selecting all possible
locations such that setting up a new facility with a given capacity at these
locations will maximize the number of served clients. This problem has wide
applications in practice, such as setting up new distribution centers for
online sales business and building additional base stations for mobile
subscribers. We formulate the problem as location selection query for utility
maximization. After applying three pruning rules to a baseline solution,we
obtain an efficient algorithm to answer the query. Extensive experiments
confirm the efficiency of our proposed algorithm.
La Modélisation du Contrôle d'accès aux Systèmes
Pervasifs : La Sensibilité à la Situation et au Contexte
Données : contexte, sécurité et prédiction en
situation d'ubiquité et/ou mobilité = Data: Context, security and
prediction in ubiquitous and/or mobile situations
/
Al Kukhun, Dana
/
Sèdes, Florence
/
Sun, Yuqing
/
Bertino, Elisa
Proceedings of the 2012 French-speaking Conference on Mobility and Ubiquity
Computing
2012-06-04
p.7
Exploration of intention expression for robots
LBR highlights
/
Shindev, Ivan
/
Sun, Yu
/
Coovert, Michael
/
Pavlova, Jenny
/
Lee, Tiffany
Proceedings of the 7th International Conference on Human-Robot Interaction
2012-03-05
p.247-248
© Copyright 2012 ACM
Summary: This paper presents a novel exploration on how to enable a robot to express
its intention so that the humans and robot can form a synergic relationship. A
systematic design approach is proposed to obtain a set of possible intentions
for a given robot from three levels of intentions. A visual intention
expression system approach is developed to visualize the intentions and
implemented on a mobile robot and a manipulator to demonstrate the intention
expression concept.
