Influence of Content Layout and Motivation on Users' Herd Behavior in Social
Discovery
Supporting Information Seeking
/
Yue, Yanzhen
/
Ma, Xiaojuan
/
Jiang, Zhenhui
Proceedings of the ACM CHI'16 Conference on Human Factors in Computing
Systems
2016-05-07
v.1
p.5715-5719
© Copyright 2016 ACM
Summary: Social product discovery is an emerging paradigm that enables users to seek
information and inspiration from peer-contributed contents. Researchers have
observed herd behaviors in social discovery, i.e., basing beliefs and decisions
on what similarly situated others have done. In this paper, we explore the
effects of content layout and motivation on users' herd behaviors in social
discovery. We conduct an eye-tracking study with 120 participants to compare
goal- and action-oriented users' behaviors on a grid versus waterfall style
social discovery site. The results show that users have a higher tendency to
herd on a grid-style website, more so for goal-oriented users.
Chronological Citation Recommendation with Information-Need Shifting
Session 6E: Citation Networks
/
Jiang, Zhuoren
/
Liu, Xiaozhong
/
Gao, Liangcai
Proceedings of the 2015 ACM Conference on Information and Knowledge
Management
2015-10-19
p.1291-1300
© Copyright 2015 ACM
Summary: As the volume of publications has increased dramatically, an urgent need has
developed to assist researchers in locating high-quality, candidate-cited
papers from a research repository. Traditional scholarly-recommendation
approaches ignore the chronological nature of citation recommendations. In this
study, we propose a novel method called "Chronological Citation Recommendation"
which assumes initial user information needs could shift while users are
searching for papers in different time slices. We model the information-need
shifts with two-level modeling: dynamic time-related ranking feature
construction and dynamic evolving feature weight training. In more detail, we
employed a supervised document influence model to characterize the content
"time-varying" dynamics and constructed a novel heterogeneous graph that
encapsulates dynamic topic-based information, time-decay paper/topic citation
information, and word-based information. We applied multiple meta-paths for
different ranking hypotheses which carried different types of information for
citation recommendation in various time slices, along with information-need
shifting. We also used multiple learning-to-rank models to optimize the feature
weights for different time slices to generate the final "Chronological Citation
Recommendation" rankings. The use of Chronological Citation Recommendation
suggests time-series ranking lists based on initial user textual information
need and characterizes the information-need shifting. Experiments on the ACM
corpus show that Chronological Citation Recommendation can significantly
enhance citation recommendation performance.
Comparing order picking assisted by head-up display versus pick-by-light
with explicit pick confirmation
Towards new wearable applications
/
Wu, Xiaolong
/
Haynes, Malcolm
/
Zhang, Yixin
/
Jiang, Ziyi
/
Shen, Zhengyang
/
Guo, Anhong
/
Starner, Thad
/
Gilliland, Scott
Proceedings of the 2015 International Symposium on Wearable Computers
2015-09-07
p.133-136
© Copyright 2015 ACM
Summary: Manual order picking is an important part of distribution. Many techniques
have been proposed to improve pick efficiency and accuracy. Previous studies
compared pick-by-HUD (Head-Up Display) with pick-by-light but without the
explicit pick confirmation that is typical in industrial environments. We
compare a pick-by-light system designed to emulate deployed systems with a
pick-by-HUD system using Google Glass. The pick-by-light system tested 50%
slower than pick-by-HUD and required a higher workload. The number of errors
committed and picker preference showed no statistically significant difference.
Scientific Information Understanding via Open Educational Resources (OER)
Session 8B: Citations
/
Liu, Xiaozhong
/
Jiang, Zhuoren
/
Gao, Liangcai
Proceedings of the 2015 Annual International ACM SIGIR Conference on
Research and Development in Information Retrieval
2015-08-09
p.645-654
© Copyright 2015 ACM
Summary: Scientific publication retrieval/recommendation has been investigated in the
past decade. However, to the best of our knowledge, few efforts have been made
to help junior scholars and graduate students to understand and consume the
essence of those scientific readings. This paper proposes a novel
learning/reading environment, OER-based Collaborative PDF Reader (OCPR), that
incorporates innovative scaffolding methods that can: 1. auto-characterize
student emerging information need while reading a paper; and 2. enable students
to readily access open educational resources (OER) based on their information
need. By using metasearch methods, we pre-indexed 1,112,718 OERs, including
presentation videos, slides, algorithm source code, or Wikipedia pages, for
41,378 STEM publications. Based on the computational information need, we use
text mining and heterogeneous graph mining algorithms to recommend high quality
OERs to help students better understand the scientific content in the paper.
Evaluation results and exit surveys for an information retrieval course show
that the OCPR system alone with the recommended OERs can effectively assist
graduate students better understand the complex STEM publications. For
instance, 78.42% of participants believe the OCPR system and recommended OERs
can provide precise and useful information they need, while 78.43% of them
believe the recommended OERs are close to exactly what they need when reading
the paper. From OER ranking viewpoint, MRR, MAP and NDCG results prove that
learning to rank and cold start solutions can efficiently integrate different
text and graph ranking features.
Semantic Annotation with RescoredESA: Rescoring Concept Features Generated
From Explicit Semantic Analysis
Boaster Session
/
Jiang, Zhuoren
/
Chen, Miao
/
Liu, Xiaozhong
Proceedings of the 2014 International Workshop on Exploiting Semantic
Annotations in Information Retrieval
2014-11-07
p.25-27
© Copyright 2014 ACM
Summary: Concepts have been used extensively in semantic annotating. Explicit
Semantic Analysis (ESA) is a concept feature generator, which represents text
by a concept-level vector, such as a vector of Wikipedia concepts. It is also
considered a human-friendly way to annotate text -- it generates concept vector
that can be easily interpreted by human. We propose an approach, RescoredESA,
based on ESA, according to aspects upon which ESA can enhance: 1) sometimes the
output vectors do not assign high scores to concepts relevant to the text; 2)
it considers words in the text when representing the text to concept-level
vector while not considering the concepts explicitly occurring in the text,
which can be an important source for assigning scores to ESA vector dimensions.
We evaluate it against the 20 newsgroup classification task, and the result
shows a slight enhancement when combining vectors from RescoredESA and
bag-of-words.
Hyperbolic Tree + Time Disc: Visualizing Hierarchical Time-series Data
Short Papers
/
Li, Ning
/
Jiang, Zhifang
/
Liu, Zixiang
/
Sun, Haoxin
Proceedings of the 2014 International Symposium on Visual Information
Communication and Interaction
2014-08-05
p.188-191
© Copyright 2014 ACM
Summary: In this paper, we propose a new method of visualizing hierarchical
time-series data. We use the hyperbolic tree to visualize the hierarchical
structure. The hyperbolic tree can visualize large hierarchical structure. It
allocates more space for the nodes of our concern, with the entire hierarchical
structure being displayed at the same time. We utilize the time disc, which is
similar to the spiral, to display the time-series data. Unlike traditional bar
charts and line graphs, the time disc is suited to visualizing large data set
and supporting much better the identification of features in the data, such as
periodicity and trends. The method can easily display large hierarchical
structure and time-series data. We visualize the time series data of each child
node by selecting the parent node in the hyperbolic tree, and then observe the
similarities and differences between the nodes and the trends of the thing. We
applied this method to the urban air quality data visualization and achieved
good results.
Share your view: impact of co-navigation support and status composition in
collaborative online shopping
Social media usage
/
Yue, Yanzhen
/
Ma, Xiaojuan
/
Jiang, Zhenhui
Proceedings of ACM CHI 2014 Conference on Human Factors in Computing Systems
2014-04-26
v.1
p.3299-3308
© Copyright 2014 ACM
Summary: Collaborative online shopping, an emerging paradigm in e-commerce, allows
remote shoppers to extend purchase-oriented social interactions into the
digital environment. Online vendors have been experimenting ways to facilitate
this activity. However, more research needs to be done on identifying what
feature can create a pleasing shopping experience and ultimately encourage
spending. In this paper, we present an exploration of the impact of
co-navigation supports, including location cue, split screen, and shared view,
on the experiences and performance of 60 co-shopper dyads. We also studied if
status composition of shopping companions played a role in this process. By
analyzing about 1800 minutes of eye-tracking data, video footages, and web
logs, we found that split screen encouraged more diverse product search, shared
view enabled better coordination, and location cue was the least distracting.
Co-buyers achieved better factual and inference understanding, though
buyer-advisor dyads were more likely to stay together.
Selective Attention in Viewing Webpages: The Effects of Perceptual Salience
and Content Relevance on Attention and Memory
/
Luo, Cheng
/
Jiang, Zhenhui
Proceedings of the 2013 AIS SIGHCI Workshop on HCI Research in MIS
2013-12-15
p.19
Summary: It is well acknowledged that viewers' attention is a scarce resource on the
web so that it is of great importance to figure out the factors in determining
attention allocation when Internet users are viewing webpages. Current study
addresses above question by reviewing prior literature on selective attention
and proposing a research model, which emphasizes the roles of perceptual
salience and perceived relevance of a visual object in catching and holding
viewers' attention as well as in increasing their memory of the visual object.
In addition, our research takes a prevalent online information presentation
format into consideration, i.e., a visual object that integrates both pictorial
and textual information. We discuss the different roles of pictures and texts
in affecting viewers' attention. A lab experiment is designed to test our
hypotheses and we use eye-tracker to record viewers' attention. We conclude our
work by discussing the theoretical and practical implications of this study.
Learning open-domain comparable entity graphs from user search queries
IR Track
/
Jiang, Ziheng
/
Ji, Lei
/
Zhang, Jianwen
/
Yan, Jun
/
Guo, Ping
/
Liu, Ning
Proceedings of the 2013 ACM Conference on Information and Knowledge
Management
2013-10-27
p.2339-2344
© Copyright 2013 ACM
Summary: A frequent behavior of internet users is to compare among various comparable
entities for decision making. As an instance, a user may compare among iPhone
5, Lumia 920 etc. products before deciding which cellphone to buy. However, it
is a challenging problem to know what entities are generally comparable from
the users' viewpoints in the open domain Web. In this paper, we propose a novel
solution, which is known as Comparable Entity Graph Mining (CEGM), to learn an
open-domain comparable entity graph from the user search queries. CEGM firstly
mine seed comparable entity pairs from user search queries automatically using
predefined query patterns. Next, it discovers more entity pairs with a
confidence classifier in a bootstrapping fashion. Newly discovered entity pairs
are organized into an open-domain comparable entity graph. Based on our
empirical study over 1 billion queries of a commercial search engine, we build
a comparable entity graph which covers 73.4% queries in the top 50 million
unique queries of a commercial search engine. Through manual labeling in
sampled sub-graphs, the average precision of comparable entities is 89.4%. As
applications of the learned entity graph, the entity recommendation in Web
search is empirically studied.
A method of hierarchical time-series data visualization
Posters
/
Li, Ning
/
Jiang, Zhifang
/
Liu, Zixiang
/
Meng, Xiangxu
Proceedings of the 2013 International Symposium on Visual Information
Communication and Interaction
2013-08-17
2013-08-17
p.113-114
© Copyright 2013 ACM
Summary: In this paper, we propose a new method of visualizing hierarchy and
time-series data. We use the node-linked technology to show hierarchy
structures, rectangles from the left to right to represent the time-series data
and a pie chart to represent statistical information about the time-series
data. The method is designed to display and compare the corresponding data of
each layer, and then observe the differences between the nodes at each layer
and the trends of the thing. We applied this method in the urban air quality
data visualization and achieved good results.
Air pollution data visualization based on the shape of a tree
Posters
/
Bi, Xiaoting
/
Jiang, Zhifang
/
Cheng, Shenghui
/
Meng, Xiangxu
Proceedings of the 2013 International Symposium on Visual Information
Communication and Interaction
2013-08-17
2013-08-17
p.115-116
© Copyright 2013 ACM
Summary: Nowadays, environment pollution is one of the most serious problems facing
mankind, and more and more people are concerned about it. To solve it, we
should get to know it first. In this paper, we present the method of
tree-shaped multivariate visualization for hierarchical data, to reveal changes
in the data and make comparisons among different pollutants and the time. The
technique is based on a botanical tree metaphor. The resulting tree-like
visualization can display many properties of the data and we can learn some
useful information through the interactions. We also use traditional parallel
coordinates as an auxiliary method and a complement to analyze the result.
A comparative study of academic and Wikipedia ranking
Web 2.0
/
Shuai, Xin
/
Jiang, Zhuoren
/
Liu, Xiaozhong
/
Bollen, Johan
JCDL'13: Proceedings of the 2013 ACM/IEEE-CS Joint Conference on Digital
Libraries
2013-07-22
p.25-28
© Copyright 2013 ACM
Summary: In addition to its broad popularity Wikipedia is also widely used for
scholarly purposes. Many Wikipedia pages pertain to academic papers, scholars
and topics providing a rich ecology for scholarly uses. Scholarly references
and mentions on Wikipedia may thus shape the "societal impact" of a certain
scholarly communication item, but it is not clear whether they shape actual
"academic impact". In this paper we compare the impact of papers, scholars, and
topics according to two different measures, namely scholarly citations and
Wikipedia mentions. Our results show that academic and Wikipedia impact are
positively correlated. Papers, authors, and topics that are mentioned on
Wikipedia have higher academic impact than those are not mentioned. Our
findings validate the hypothesis that Wikipedia can help assess the impact of
scholarly publications and underpin relevance indicators for scholarly
retrieval or recommendation systems.
Recovering missing citations in a scholarly network: a 2-step citation
analysis to estimate publication importance
Posters
/
Jiang, Zhuoren
/
Liu, Xiaozhong
JCDL'13: Proceedings of the 2013 ACM/IEEE-CS Joint Conference on Digital
Libraries
2013-07-22
p.419-420
© Copyright 2013 ACM
Summary: Citation relationships between publications are important for assessing the
importance of scholarly components (e.g., authors, publications, and venues)
within a network. Missing citation metadata in scholarly databases, however,
creates problems for classical citation-based ranking algorithms. In the ACM
database, for example, 18.5% of publications don't have citation metadata. In
this research we propose an innovative, 2-step method of citation analysis, to
investigate the importance of publications for which citation data is missing.
Preliminary evaluation results show that this method can effectively uncover
the importance of publications without using citation metadata.
Digital Expression of Civil Pilot's Basic Operation
Cognitive Issues in Aviation
/
Jiang, Zhuoyuan
/
Chen, Bin
/
Cao, Quanxin
/
Liang, Yuandong
EPCE 2013: 10th International Conference on Engineering Psychology and
Cognitive Ergonomics, Part II: Applications and Services
2013-07-21
v.2
p.231-240
Keywords: Human Factors; Human Error; Pilots' Operation Behavior; Coding System
© Copyright 2013 Springer-Verlag
Summary: "Human Error" is one of the major reasons of aircraft accident and incident.
In order to reduce the loss by "Human Error", the "human error" action sequence
must be detected and provide warning to pilot or intelligent action when pilot
violates the operation procedures or any actions that may cause potential
accident or incident. To identify and manage the "Human Error" is becoming more
and more important.
The response of unit varies with human's behavior. If the correct operation
behavior can be digital described, then human's operation behavior will be
partly quantized. Pilots guide the airplane mainly by operations manual,
excluding facility failure, there exist operations regularity, that is
time-ordered action sequence. Operating steps and therbligs can be intuitive
quantitative by coding operations process. Fully considering behavioral
characteristics of the pilot group, to optimize time sequence and action
sequence parameters will make the operation behavior code be more accurate. The
study in operation behavior coding and analysis will play an important role in
effectively reducing the probability of flight accidents caused by human
factors.
This paper designed and developed a set of effective behavior coding method
on the basis of computer compilation principle, starting from unit operation
behavior and description of abstraction, using mathematical method to analyze
the connections between operation tasks.
The Effects of Navigation Support and Group Structure on Collaborative
Online Shopping
Society, Business and Health
/
Cheng, Yihong
/
Yue, Yanzhen
/
Jiang, Zhenhui (Jack)
/
Kim, Hyung Jin
OCSC 2013: 5th International Conference on Online Communities and Social
Computing
2013-07-21
p.250-259
Keywords: Collaborative Online Shopping; Navigation Support; Group Structure; Ease of
Uncoupling Resolution; Perceived Usefulness
© Copyright 2013 Springer-Verlag
Summary: As a new paradigm of e-commerce, collaborative online shopping fulfills
online consumers' needs to shop with close ones in a social and collaborative
environment. While previous e-commerce research and practice mainly focus on
consumers' individual shopping behavior, a recent trend is for consumers to buy
things together online. This study proposes two new types of navigation support
and investigates how different types of navigation support influence consumers'
collaborative online shopping experience. Specifically, their impacts on
consumers' coordination performance and perceived usefulness are assessed by
comparing two types of extant navigation support in a lab experiment.
Meanwhile, the moderating role of the group structure of collaborative
consumers is also assessed.
The Effects of Social Structure Overlap and Profile Extensiveness on Online
Social Connectivity Regulation
/
Choi, Ben
/
Jiang, Zhenhui
Proceedings of the 2012 AIS SIGHCI Workshop on HCI Research in MIS
2012-12-16
p.1
Keywords: Online Social Network, Online Social Connectivity, Impression Formation,
Privacy Calculus, Intention to Accept
Session 3, Paper 3
Summary: In online social networks, new social connectivity is established when a
requestee accepts a friend request from an unfamiliar requestor. While users
are generally willing to establish online social connectivity, they are at
times reluctant in constructing profile connections with unfamiliar others.
Drawing on the interpersonal cognition literature and the privacy calculus
perspective, this paper examines the effects of social structure overlap and
profile extensiveness on privacy risks as well as social capital gains and how
the requestee responds to a friend request (i.e., intention to accept). The
results of a quasi-experiment involving 101 respondents provide strong evidence
that social structure overlap and profile extensiveness influence privacy risks
and social capital gains. In addition, while privacy risks reduce intention to
accept, social capital gains increase intention to accept online social
connectivity.
Co-Navigability, Tracking Fulfillment and Autonomy in Collaborative Online
Shopping
/
Yue, Yanzhen
/
Jiang, Zhenhui
Proceedings of the 2012 AIS SIGHCI Workshop on HCI Research in MIS
2012-12-16
p.2
Keywords: online shopping, tracking fulfillment, collaborative shopping
Summary: Shopping is generally a social behavior, frequently done while accompanied
by friends or family. Lack of social interaction is considered to be a critical
barrier that defers customers from shopping online. As a new paradigm of
e-commerce, collaborative online shopping (COS), defined by Zhu et al. (2010)
as "the activity in which a customer shops at an online store concurrently with
one or more remotely located shopping partners", may dramatically improve
customers online shopping experience by fulfilling their needs to shop in a
social and collaborative way (O'Hara and Perry, 2001). Collaborative online
shopping would not only benefit online customers, but also furnish online
vendors with more potential revenues, since shoppers accompanied by others
generate more need recognition and spend more than when shopping alone (Kurt et
al., 2011). Collaborative online shopping is emerging as an instrumental way to
largely increase customer satisfaction and generate more revenues for online
vendors. For example, according to Internet Retailer (2010), collaborative
online shopping helps drive 15% increase in sales at a leading German skincare
website. Although collaborative online shopping is very common in everyday life
(Huang et al., 2012), it is not well supported by current systems (Benbasat,
2010). Due to the very few findings on COS, both the guidelines for system
designers and our understanding towards theCOSmechanisms are rather limited. To
fill this research gap, we argue that when customers collaboratively shop with
their companions online, they act both as individuals and as members of the
shopping group. As shopping group members, customers require information about
each other to maintain awareness; while as individuals, they demand flexible
means for interacting with the website and the product information (Gutwin and
Greenberg, 1998). In consideration of the paramount benefits for online
customers/vendors and the deficiency in research findings, much more effort is
desired for researchers to comprehensively explore how systems could be
designed to better support COS and improve collaborative online customers'
shopping experience by balancing both the group needs (e.g. share and discuss
information with each other) and the individual needs (e.g. freely browse
product information without much interruption from partners).
The shape coordinates system in visualization space
Tools and Algorithms
/
Jiang, Zhifang
/
Cheng, Shenghui
/
Xin, Ruobo
/
Meng, Xiangxu
Proceedings of the 2012 International Symposium on Visual Information
Communication and Interaction
2012-09-27
p.18-21
© Copyright 2012 ACM
Summary: A concept of shape coordinates system for visualization of data set is
proposed in this paper. First, the visualization data set, visualization
graphics, visualization process and visualization space are defined. Then, the
definition, mapping, operation, theorems, properties and algorithms of shape
coordinates system are described. Finally an example to visualize the data set
as a tree shape graphics in the visualization space by using the shape
coordinates system is given.
Farmer's tale: a Facebook game to promote volunteerism
Facebook
/
Jianqiang, Don Sim
/
Ma, Xiaojuan
/
Zhao, Shengdong
/
Khoo, Jing Ting
/
Bay, Swee Ling
/
Jiang, Zhenhui
Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems
2011-05-07
v.1
p.581-584
© Copyright 2011 ACM
Summary: Volunteering is an important activity that brings great benefits to
societies. However, encouraging volunteerism is difficult due to the altruistic
nature of volunteer activities and the high resource demand in carrying them
out. We have created a Facebook game called "Farmer's Tale" to attract and make
it easier for people to volunteer. We evaluated people's acceptance to this
novel idea and the results revealed great potential in such type of games.
Enticing consumers via incomplete product experience: an investigation of
online product interactivity designs
User experience
/
Yi, Cheng
/
Jiang, Zhenhui
/
Benbasat, Izak
Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems
2011-05-07
v.1
p.2679-2688
© Copyright 2011 ACM
Summary: This paper reports on two studies that investigate the design of online
product interactivity. The first study compares three different presentation
formats: a video presentation and two Virtual Product Experience (VPE)
presentations, namely, triggered interaction and full interaction. The findings
suggest that triggered interaction VPE is more effective in enticing users to
attend to and further explore the featured products than both the
non-interactive video presentation and the full interaction VPE. The second
study builds upon the first and focuses on two specific VPE design factors. In
particular, it investigates interaction constraint (high versus low constraint)
in addition to the activation mode of interaction (process-based interaction
versus event-based interaction). The results reveal interesting interaction
patterns between the two design factors, i.e., providing less constrained
interaction performs better when process-based interaction design is adopted,
but performs worse when event-based interaction is employed.
The research of the regional pollutant concentration visualization based on
the particles
Scientific visualization
/
Jiang, Zhifang
/
Li, Miaomiao
/
Meng, Xiangxu
/
Huang, Yan
/
Li, Shenfang
Proceedings of the 2010 International Symposium on Visual Information
Communication and Interaction
2010-09-28
p.6
© Copyright 2010 ACM
Summary: In this paper, through the analysis of regional air pollutant concentration
data in spatial area, using particle system to model and render the air
pollutant concentration in the region at different height levels. We establish
the corresponding relationship between pollutant concentration of a grid and
the particle radius, and use different scattering models to render the
particles, the results show that the rendering of the translucent matter in
spatial region has better visual effect when the method is used.
Column-based cluster and bar axis density in parallel coordinates
Parallel coordinates and graph
/
Tang, Lei
/
Li, Xue-qing
/
Qi, Wen-jing
/
Jiang, Zhi-fang
Proceedings of the 2010 International Symposium on Visual Information
Communication and Interaction
2010-09-28
p.9
© Copyright 2010 ACM
Summary: In this paper we organize multi-dimensional datasets with column-based
approach instead of the traditional row-based method, each column referring to
one dimension and we use bar axis in place of line axis to represent
corresponding dimension. Then parallel coordinates with column-based cluster,
bar axis density and other techniques is used to convey a large complex
multi-dimensional dataset in a relative small screen through the following
steps: (a) visualization of column-based clusters with user-defined granularity
to simplify the corresponding dimension where we group all the data points into
several discrete values; (b) several distinct colors to distinguish the lines
contain different amount of data points; (c) opacity is introduced to
visualization to tell the difference among the lines with the same color; (d)
brand instead of polyline to reveal the centre and the extent of each cluster;
(e) layer-based drawing technique to emphasize the heavy lines and to denote
the trend of multi-dimensional datasets; (f) bar axis to provide special space
to illustrate the density of the dataset on each axis. Anyway, our work has two
primary goals: one is to convey large dataset with legible compact vivid
visualization on a limited screen area. The other one is to simultaneously
reveal as many information features as possible away from clutter.
Designing for User-Generated Contents: An Investigation of Product Tags and
Lead User Exposure
4: Users and Interactivity II
/
Yi, Cheng
/
Jiang, Zhenhui
/
Benbasat, Izak
Proceedings of the 2009 AIS SIGHCI Workshop on HCI Research in MIS
2009-12-14
p.6
Keywords: User-generated contents, product tags, lead user, information foraging,
perceived decision quality, sense of community
Summary: Recent advances in the Internet have revolutionized the way people share
information and choose products. Various new applications allow users to become
an active part in developing content on the Web. This study specifically
investigates e-commerce product search websites which allow users to search and
evaluate products, share product opinions and interests, as well as communicate
with other community members. Despite the increasing number of researchers
studying diverse issues in this context, there still lacks a theoretical
understanding of how the use of user-generated contents on these websites can
actually influence people's decision making and social experience online. This
study thus focuses on two prevailing design features on websites based on
user-generated information -- product tags and lead user exposure. Results from
a laboratory experiment using a large-scale, real social-network-based product
search website are reported.
Application of an Entropy-Assisted Optimization Model in Prediction of
Agonist and Antagonist Muscle Forces
INDUSTRIAL ERGONOMICS: Manual Material Handling Activities
/
Jiang, Zongliang
/
Mirka, Gary A.
Proceedings of the Human Factors and Ergonomics Society 51st Annual Meeting
2007-10-01
v.51
p.923-927
© Copyright 2007 HFES
Summary: Many existing optimization based biomechanical models fail to predict
antagonist muscle activity. Some optimization models predict such a
cocontraction, but either lack a compelling physiological basis or are
computationally formidable. The current study takes advantage of the flexible
definition of entropy as a scientific measure, and utilizes it in the objective
function of an optimization formulation to construct a new optimization model
for predicting agonist and antagonist muscle forces. In this model, the
objective function of a nonlinear program consists of a weighted sum of two
components: a linear or nonlinear term favoring agonist muscle exertions
(reciprocal inhibition), and the entropy term enforcing cocontraction. The
concept of the current optimization model is based on recent findings in
neurophysiology that there exist two separate central nervous systems for
generation of two motor patterns: agonist contraction and agonist-antagonist
cocontraction.
A Meta-cognition Modeling of Engineering Product Designer in the Process of
Product Design
Part 1: Interaction Design: Theoretical Issues, Methods, Techniques and
Practice
/
Liang, Jun
/
Jiang, Zuhua
/
Zhao, Yun-Song
/
Wang, Jinlian
HCI International 2007: 12th International Conference on Human-Computer
Interaction, Part I: Interaction Design and Usability
2007-07-22
v.1
p.146-155
Keywords: Meta-cognition; Cognitive activity; Individual Difference; Product design
Copyright © 2007 Springer-Verlag
Summary: For further effectual tacit knowledge reusing in the process of product
design, individual cognitive processes, cognitive factors, and cognitive
strategies need to be realized to find the essential factors that affect the
generation of tacit knowledge and control designer activities in the whole
design process. But these key factors are relative to individual cognitive
capability and meta-cognitive level. So, based on physical symbol system
hypothesis (PSSH) and connectionism, a meta-cognition model of engineering
product designer is provided to elucidate the active monitoring and consequent
regulation in this paper. Designers' cognitive activities in the process of
product design are analyzed from the viewpoint of cognition science. Finally,
the cognitive differences between the experienced designers and the novices in
the process of fuel injection bump design is compared and elaborated in detail.
