hotauthor: lee_d* : Human-Computer Interaction Bibliography Search

[1] The Flat Finger: Exploring Area Touches on Smartwatches Fingers and Technology / Oakley, Ian / Lindahl, Carina / Le, Khanh / Lee, DoYoung / Islam, M. D. Rasel Proceedings of the ACM CHI'16 Conference on Human Factors in Computing Systems 2016-05-07 v.1 p.4238-4249

ACM Digital Library Link

Summary: Smartwatches are emerging device category that feature highly limited input and display surfaces. We explore how touch contact areas, such as lines generated by flat fingers, can be used to increase input expressivity in these diminutive systems in three ways. Firstly, we present four design themes that emerged from an ideation workshop in which five designers proposed concepts for smartwatch touch area interaction. Secondly, we describe a sensor unit and study that captured user performance with 31 area touches and contrasted this against standard targeting performance. Finally, we describe three demonstration applications that instantiate ideas from the workshop and deploy the most reliably and rapidly produced area touches. We report generally positive user reactions to these demonstrators: the area touch interactions were perceived as quick, convenient and easy to learn and remember. Together this work characterizes how designers can use area touches in watch UIs, which area touches are most appropriate and how users respond to this interaction style.

[2] Movement: A Secure Community Awareness Application and Display Demos / Ma, Xiao / McLachlan, Ross / Lee, Donghun / Naaman, Mor / Sun, Emily Companion Proceedings of ACM CSCW 2016 Conference on Computer-Supported Cooperative Work and Social Computing 2016-02-27 v.2 p.106-109

ACM Digital Library Link

Summary: The proliferation of mobile devices and popularity of applications like Facebook and Twitter has allowed people to stay connected to their farspread networks. However, little attention has been spent on connections in the local, physical community. These collocated connections are important for building social capital, sharing resources, and providing physical support. Movement is a visualization that uses location data generated automatically by mobile devices to increase community awareness following a new standard of privacy preservation. Movement also consists of an app that allows for direct connection to people with shared location histories, again in a secure and private manner. An integrated demo at CSCW will display the popular venues visited by conference attendees and allow users to connect with others who visited the same locations.

[3] DTMBIO 2015: International Workshop on Data and Text Mining in Biomedical Informatics Workshop Reports / Song, Min / Lee, Doheon / Verspoor, Karin Proceedings of the 2015 ACM Conference on Information and Knowledge Management 2015-10-19 p.1941-1942

ACM Digital Library Link

Summary: Held each year in conjunction with one of the largest data management conferences, CIKM, the Ninth ACM International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO'15) is organized to bring together researchers interested in development and application of cutting-edge data management and analysis methods with a specific focus on applications in biology and medicine. The purpose of DTMBIO is to foster discussions regarding the state-of-the-art applications of data and text mining on biomedical research problems. DTMBIO'15 will help scientists understand emerging trends and opportunities in the evolving area of informatics related techniques and problems in the context of biomedical research.

[4] No Reciprocity in "Liking" Photos: Analyzing Like Activities in Instagram Session 9 / Jang, Jin Yea / Han, Kyungsik / Lee, Dongwon Proceedings of the 2015 ACM Conference on Hypertext and Social Media 2015-09-01 p.273-282

ACM Digital Library Link

Summary: In social media, people often press a "Like" button to indicate their shared interest in a particular content or to acknowledge the user who posted the content. Such activities form relationships and networks among people, raising interesting questions about their unique characteristics and implications. However, little research has investigated such Likes as a main study focus. To address this lack of understanding, based on a theoretical framework, we present an analysis of the structural, influential, and contextual aspects of Like activities from the test datasets of 20 million users and their 2 billion Like activities in Instagram. Our study results first highlight that Like activities and networks increase exponentially, and are formed and developed by one's friends and many random users. Second, we observe that five other essential Instagram elements influence the number of Likes to different extents, but following others will not necessarily increase the number of Likes that one receives. Third, we explore the relationship between LDA-based topics and Likes, characterize two user groups-specialists and generalists-and show that specialists tend to receive more Likes and promote themselves more than generalists. We finally discuss theoretical and practical implications and future research directions.

[5] Effect of 3D Projection Mapping Art: Digital Surrealism VR in Health and Culture / Jung, Soyoung / Biocca, Frank / Lee, Daeun VAMR 2015: 7th International Conference on Virtual, Augmented and Mixed Reality 2015-08-02 p.361-367

Keywords: Augmented reality; Spatialized projection mapping; Three dimensional projection mapping; Psychological effect; Spatial memory

Link to Digital Content at Springer

Summary: This study examines the superior effect of spatialized projection mapping, also known as spatialized augmented reality or three-dimensional projection mapping, compared to projection on the screen. Specifically, to examine the effect of this modality, other variables are limited, such as sound effects or any other contents. The stimuli have little representative meaning with moving geometric patterns. The results show that spatialized projection mapping has been positively evaluated and that it elicits greater spatial presence.

[6] Finding the Differences between the Perceptions of Experts and the Public in the Field of Diabetes Posters / Lee, Dahee / Kim, Won Chul / Song, Min Companion Proceedings of the 2015 International Conference on the World Wide Web 2015-05-18 v.2 p.57-58

ACM Digital Library Link

Summary: Automatic information extraction techniques such as named entity recognition and relation extraction have been developed but it is yet rare to apply them to various document types. In this paper, we applied them to academic literature and social media's contents in the field of diabetes to find distinctions between the perceptions of biomedical experts and the public. We analyzed and compared the experts' and the public's networks constituted by the extracted entities and relations. The results confirmed that there are some differences in their views, i.e., biomedical entities that interest them and relations within their knowledge range.

[7] LIKE and Recommendation in Social Media Tutorials / Lee, Dongwon / Liu, Huan Companion Proceedings of the 2015 International Conference on the World Wide Web 2015-05-18 v.2 p.1539-1540

ACM Digital Library Link

Summary: This tutorial covers the state-of-the-art developments in LIKE and recommendation in social media. It is designed for graduate students, practitioners, or IT managers with general understanding on WWW and social media. No prerequisite is expected.

[8] Beats: Tapping Gestures for Smart Watches Smartwatch Interaction / Oakley, Ian / Lee, DoYoung / Islam, MD. Rasel / Esteves, Augusto Proceedings of the ACM CHI'15 Conference on Human Factors in Computing Systems 2015-04-18 v.1 p.1237-1246

ACM Digital Library Link

Summary: Interacting with smartwatches poses new challenges. Although capable of displaying complex content, their extremely small screens poorly match many of the touchscreen interaction techniques dominant on larger mobile devices. Addressing this problem, this paper presents beating gestures, a novel form of input based on pairs of simultaneous or rapidly sequential and overlapping screen taps made by the index and middle finger of one hand. Distinguished simply by their temporal sequence and relative left/right position these gestures are designed explicitly for the very small screens (approx. 40mm square) of smartwatches and to operate without interfering with regular single touch input. This paper presents the design of beating gestures and a rigorous empirical study that characterizes how users perform them -- in a mean of 355ms and with an error rate of 5.5%. We also derive thresholds for reliably distinguishing between simultaneous (under 30ms) and sequential (under 400ms) pairs of screen touches or releases. We then present five interface designs and evaluate them in a qualitative study in which users report valuing the speed and ready availability of beating gestures.

[9] Generation Like: Comparative Characteristics in Instagram Understanding & Protecting Kids Tech Use / Jang, Jin Yea / Han, Kyungsik / Shih, Patrick C. / Lee, Dongwon Proceedings of the ACM CHI'15 Conference on Human Factors in Computing Systems 2015-04-18 v.1 p.4039-4042

ACM Digital Library Link

Summary: The emergence of social media has had a significant impact on how people communicate and socialize. Teens use social media to make and maintain social connections with friends and build their reputation. However, the way of analyzing the characteristics of teens in social media has mostly relied on ethnographic accounts or quantitative analyses with small datasets. This paper shows the possibility of detecting age information in user profiles by using a combination of textual and facial recognition methods and presents a comparative study of 27K teens and adults in Instagram. Our analysis highlights that (1) teens tend to post fewer photos but highly engage in adding more tags to their own photos and receiving more Likes and comments about their photos from others, and (2) to post more selfies and express themselves more than adults, showing a higher sense of self-representation. We demonstrate the application of our novel method that shows clear trends of age differences as well as substantiates previous insights in social media.

[10] An Outlook for Content UX in TV: The Emergence of Augmented Content Case Studies: Special Environments / Kim, Sung Woo / Park, Eun Hye / Lee, Yae Eun / Lee, Jong Sung / Lee, Da Hee / Kim, Eun Jin Extended Abstracts of the ACM CHI'15 Conference on Human Factors in Computing Systems 2015-04-18 v.2 p.789-796

ACM Digital Library Link

Summary: This case study describes the findings from our exploration on content user experience for next-generation live TV and VOD (Video-on-Demand) services. First, we introduce our background study on new trends in the TV industry. Based on this study, we list several keywords that characterize the content experience for next-generation TV. We then describe our interviews with six professionals working in content production. These interviews were conducted to verify our derived characteristics, and to collect the thoughts of these experts on the contribution of UX to future content production. Our study led us to a new research topic we call "Augmented Content," which we believe has significant potential to provide content UX for next-generation television services.

[11] Travel Q: Questifying Micro Activities Using Travel Photos to Enhance Travel Experience WIP Theme: Lifestyle / Kim, Yoojung / Oh, Changhoon / Lee, Taeyoung / Lee, Donghun / Lee, Joongseek / Suh, Bongwon Extended Abstracts of the ACM CHI'15 Conference on Human Factors in Computing Systems 2015-04-18 v.2 p.1507-1512

ACM Digital Library Link

Summary: Travel is a series of micro activities. With the proliferation of digital cameras and smartphones, it is now common for travelers to record their micro activities in fine detail by taking photos without ever missing a moment. However, how to enhance the travel experience by utilizing such recorded micro activities has not been determined. Thus, we aim to 1) investigate how travelers record micro activities in photos through a user study and 2) design a system to enhance travel experiences utilizing travel photos. Based on the user study, we devise a "questification" strategy that motivates travelers to change their photos into quests. We implement a research prototype, Travel Q, a community platform that allows users to share their micro activities through photos. The results of a field study with the prototype suggest that questification is an applicable strategy for enhancing travel experiences.

[12] Exploring Tag-based Like Networks WIP Theme: Social Computing / Han, Kyungsik / Jang, Jin Yea / Lee, Dongwon Extended Abstracts of the ACM CHI'15 Conference on Human Factors in Computing Systems 2015-04-18 v.2 p.1941-1946

ACM Digital Library Link

Summary: The emergence of social media has had a significant impact on how people communicate, interact, and socialize. People engage in social media in different ways by not only adding content such as photos, texts, and videos, but also adding tags, Likes, comments, and following others. Through these activities, people form and develop social connections and networks. In this paper, we present a two-dimensional Like network formed and developed by people who have a same tag in their photos. Based on the dataset consisting of 51K photos posted by 36K users in Instagram, we present the structural and relational aspects of tag-based Like networks. Our study results highlight that Like networks have different sizes and degrees of network components depending on a tag type. We also found that a large portion of Likes came from random users for all networks.

[13] An Analysis of Social Features Associated with Room Sales of Airbnb Posters / Lee, Donghun / Hyun, Woochang / Ryu, Jeongwoo / Lee, Woo Jung / Rhee, Wonjong / Suh, Bongwon Companion Proceedings of ACM CSCW 2015 Conference on Computer-Supported Cooperative Work and Social Computing 2015-03-14 v.2 p.219-222

ACM Digital Library Link

Summary: Lately, collaborative consumption has emerged as an important socio-economic model because of its economic and environmental impacts. Airbnb, an online hospitality rental service provider, is a fast growing company that utilizes rich social communications. In this paper, we aim to quantitatively characterize collaborative consumption behaviors in Airbnb. We collected and analyzed a total of 4,178 room data, and investigated which features are more strongly associated with room sales. Besides the well-recognized room features like price, minimum stay, and amenities, our result shows that social features such as responsiveness of host, count of Wish List, number of reviews, and membership seniority are significantly associated with room sales. On the other hand, some of the conventional social features such as overall rating and number of references turned out to be not so critical for room sales.

[14] Using Local Information to Significantly Improve Classification Performance KM Track Posters / Liu, Wei / Lee, Dong / Rao, Kotagiri Proceedings of the 2014 ACM Conference on Information and Knowledge Management 2014-11-03 p.1947-1950

ACM Digital Library Link

Summary: In this research we propose to derive new features based on data samples' local information with the aim of improving the performance of general supervised learning algorithms. The creation of new features is inspired by the measure of average precision which is known to be a robust measure that is insensitive to the number of retrieved items in information retrieval. We use the idea of average precision to weight the neighbours of an instance and show that this weighting strategy is insensitive to the number of neighbours in the locality. Information captured in the new features allows a general classifier to learn additional useful peripheral knowledge that are helpful in building effective classification models. We comprehensively evaluate our method on real datasets and the results show substantial improvements in the performance of classifiers including SVM, Bayesian networks, random forest, and C4.5.

[15] DTMBIO 2014: International Workshop on Data and Text Mining in Biomedical Informatics Workshop Summaries / Chen, Luonan / Lee, Doheon / Xu, Hua / Song, Min Proceedings of the 2014 ACM Conference on Information and Knowledge Management 2014-11-03 p.2090-2091

ACM Digital Library Link

Summary: Held each year in conjunction with one of the largest data management conferences, CIKM, the Eighth ACM International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO 14) is organized to bring together researchers interested in development and application of cutting-edge biomedical and healthcare technology. The purpose of DTMBIO is to foster discussions regarding the state-of-the-art applications of data and text mining on biomedical research problems. DTMBIO 14 will help scientists navigate emerging trends and opportunities in the evolving area of informatics related techniques and problems in the context of biomedical research.

[16] Air traffic controllers' visual scanning, aircraft selection, and comparison strategies in support of conflict detection Aerospace Systems: AS6 -- Air Traffic Control / Kang, Ziho / Bass, Ellen J. / Lee, Douglas W. Proceedings of the Human Factors and Ergonomics Society 2014 Annual Meeting 2014-10-27 p.77-81

doi 10.1177/1541931214581017

Link to HFES Digital Content

Summary: When aircraft are not aligned into orderly streams, air traffic controllers (ATCs) will likely need to develop visual scanning strategies to enhance their conflict detection performance given their limited perceptual and cognitive resources. In this work, visual scanning, aircraft selection, and aircraft comparison are investigated. Twenty-five active professional ATCs detected conflicts in a simulated enroute environment. After the trials, the ATCs documented their visual search and conflict detection strategies. Analysis of the written information shows that the visual scanning methods can be classified into six categories (circular, linear, augmented, regional, density-based, and proximity-based). The aircraft selection methods fall into three categories (select aircraft that are at same altitude, at same altitude and converging, and at same altitude and in close proximity). The aircraft comparison methods fall into five categories (attend to altitude changes, speed (or speed differences), speed and angle/bearing, overtake, and projection). The proposed integrated process incorporates the categorizations by accommodating the visual scanning strategies into the overall process.

[17] The design of hand gestures for human/computer interaction: Lessons from sign language interpreters / Rempel, David / Camilleri, Matt J. / Lee, David L. International Journal of Human-Computer Studies 2014-10 v.72 n.10/11 p.728-735

Keywords: Gesture-based interaction

Keywords: Computer interface

Keywords: Hand postures

Keywords: Multi-touch

Keywords: Computer input

Link to Article at sciencedirect

Summary: The design and selection of 3D modeled hand gestures for human/computer interaction should follow principles of natural language combined with the need to optimize gesture contrast and recognition. The selection should also consider the discomfort and fatigue associated with distinct hand postures and motions, especially for common commands. Sign language interpreters have extensive and unique experience forming hand gestures and many suffer from hand pain while gesturing. Professional sign language interpreters (N=24) rated discomfort for hand gestures associated with 47 characters and words and 33 hand postures. Clear associations of discomfort with hand postures were identified. In a nominal logistic regression model, high discomfort was associated with gestures requiring a flexed wrist, discordant adjacent fingers, or extended fingers. These and other findings should be considered in the design of hand gestures to optimize the relationship between human cognitive and physical processes and computer gesture recognition systems for human/computer input.

[18] Interaction on the edge: offset sensing for small devices Watches and small devices / Oakley, Ian / Lee, Doyoung Proceedings of ACM CHI 2014 Conference on Human Factors in Computing Systems 2014-04-26 v.1 p.169-178

ACM Digital Library Link

Summary: The touch screen interaction paradigm, currently dominant in mobile devices, begins to fail when very small systems are considered. Specifically, "fat fingers", a term referring to the fact that users' extremities physically obstruct their view of screen content and feedback, become particularly problematic. This paper presents a novel solution for this issue based on sensing touches to the perpendicular edges of a device featuring a front-mounted screen. The use of such offset contact points ensures that both a user's fingers and the device screen remain clearly in view throughout a targeting operation. The configuration also supports a range of novel interaction scenarios based on the touch, grip and grasp patterns it affords. To explore the viability of this concept, this paper describes EdgeTouch, a small (6 cm) hardware prototype instantiating this multi-touch functionality. User studies characterizing targeting performance, typical user grasps and exploring input affordances are presented. The results show that targets of 7.5-22.5 degrees in angular size are acquired in 1.25-1.75 seconds and with accuracy rates of 3%-18%, promising results considering the small form factor of the device. Furthermore, grasps made with between two and five fingers are robustly identifiable. Finally, we characterize the types of input users envisage performing with EdgeTouch, and report occurrence rates for key interactions such as taps, holds, strokes and multi-touch and compound input. The paper concludes with a discussion of the interaction scenarios enabled by offset sensing.

[19] To gather together for a better world: understanding and leveraging communities in micro-lending recommendation Matching / Choo, Jaegul / Lee, Daniel / Dilkina, Bistra / Zha, Hongyuan / Park, Haesun Proceedings of the 2014 International Conference on the World Wide Web 2014-04-07 v.1 p.249-260

ACM Digital Library Link

Summary: Micro-finance organizations provide non-profit lending opportunities to mitigate poverty by financially supporting impoverished, yet skilled entrepreneurs who are in desperate need of an institution that lends to them. In Kiva.org, a widely-used crowd-funded micro-financial service, a vast amount of micro-financial activities are done by lending teams, and thus, understanding their diverse characteristics is crucial in maintaining a healthy micro-finance ecosystem. As the first step for this goal, we model different lending teams by using a maximum-entropy distribution approach based on a wealthy set of heterogeneous information regarding micro-financial transactions available at Kiva. Based on this approach, we achieved a competitive performance in predicting the lending activities for the top 200 teams. Furthermore, we provide deep insight about the characteristics of lending teams by analyzing the resulting team-specific lending models. We found that lending teams are generally more careful in selecting loans by a loan's geo-location, a borrower's gender, a field partner's reliability, etc., when compared to lenders without team affiliations. In addition, we identified interesting lending behaviors of different lending teams based on lenders' background and interest such as their ethnic, religious, linguistic, educational, regional, and occupational aspects. Finally, using our proposed model, we tackled a novel problem of lending team recommendation and showed its promising performance results.

[20] Investigating socio-cultural behavior of users reflected in different social channels on K-pop WWW 2014 posters / Kim, Yonghwan / Lee, Dahee / Hahm, Jung Eun / Han, Namgi / Song, Min Companion Proceedings of the 2014 International Conference on the World Wide Web 2014-04-07 v.2 p.325-326

ACM Digital Library Link

Summary: In this paper we investigated the socio-cultural behavior of users reflected in the two different social media channels, YouTube and Twitter. We conducted the comparative analysis of the networks generated from the two channels. The relationship we set for each network is the relatedness on YouTube and the co-links on Twitter. From the results, we revealed that the social media influenced the distinct socio-cultural behaviors of their users. Specifically, Twitter network better showed the actual consumption of contents in the field of the k-pop culture than YouTube. From this study, we contributed to offer a novel approach for exploring the socio-cultural behavior of users on the social media.

[21] Building an automated engagement recognizer based on video analysis HRI2014 late breaking reports poster / Jang, Minsu / Park, Cheonshu / Yang, Hyun-Seung / Kim, Jae-Hong / Cho, Young-Jo / Lee, Dong-Wook / Cho, Hye-Kyung / Kim, Young-Ae / Chae, Kyoungwha / Ahn, Byeong-Kyu Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction 2014-03-03 p.182-183

ACM Digital Library Link

Summary: This paper presents a process to build a classifier in a data-driven way for recognizing engagement of children in a robot-based math quiz game. The process consists of collecting video recordings from HRI experiments; annotating the social signals and engagement states via video analysis; extracting feature vectors from the annotations and training classifiers. We conducted an experiment with 7 participants of 10 -- 11 years of age using an android robot EveR-4. With three coders annotating the video recordings and extracting features by snapshot model with 1-second time window, we achieved 84.83% recall performance.

[22] A new creation environment for learning through interaction with robots Demonstration session / Cho, Hye-Kyung / Ryu, Jae-Sung / Kim, Hyo-Yong / Lee, Dong-Hoon / Jin, Yong-Gyu / Sung, Jung-Yun / Jung, Hyun-Sung / Han, Soo-Hee / Ji, Sang-Hoon Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction 2014-03-03 p.327

ACM Digital Library Link

Summary: This demonstration introduces SiCi (Smart ideas for Creative interplay) that brings a single-body robot to life by delivering a variety of contents and then fosters children's creativity and innovation in education.

[23] EDITED BOOK Natural Interaction with Robots, Knowbots and Smartphones: Putting Spoken Dialog Systems into Practice / Mariani, Joseph / Rosset, Sophie / Garnier-Rizet, Martine / Devillers, Laurence 2014 p.397 Springer New York

ISBN: 978-1-4614-8279-6 (print), 978-1-4614-8280-2 (online)

Link to Digital Content at Springer

== Spoken Dialog Systems in Everyday Applications ==
Spoken Language Understanding for Natural Interaction: The Siri Experience (3-14)
	+ Bellegarda, Jerome R.
Development of Speech-Based In-Car HMI Concepts for Information Exchange Internet Apps (15-28)
	+ Hofmann, Hansjörg
	+ Silberstein, Anna
	+ Ehrlich, Ute
	+ Berton, André
	+ Müller, Christian
	+ Mahr, Angela
Real Users and Real Dialog Systems: The Hard Challenge for SDS (29-36)
	+ Black, Alan W.
	+ Eskenazi, Maxine
A Multimodal Multi-device Discourse and Dialogue Infrastructure for Collaborative Decision-Making in Medicine (37-47)
	+ Sonntag, Daniel
	+ Schulz, Christian
== Spoken Dialog Prototypes and Products ==
Yochina: Mobile Multimedia and Multimodal Crosslingual Dialogue System (51-57)
	+ Xu, Feiyu
	+ Schmeier, Sven
	+ Ai, Renlong
	+ Uszkoreit, Hans
Walk This Way: Spatial Grounding for City Exploration (59-67)
	+ Boye, Johan
	+ Fredriksson, Morgan
	+ Götze, Jana
	+ Gustafson, Joakim
	+ Königsmann, Jürgen
Multimodal Dialogue System for Interaction in AmI Environment by Means of File-Based Services (69-77)
	+ Ábalos, Nieves
	+ Espejo, Gonzalo
	+ López-Cózar, Ramón
	+ Ballesteros, Francisco J.
	+ Soriano, Enrique
	+ Guardiola, Gorka
Development of a Toolkit Handling Multiple Speech-Oriented Guidance Agents for Mobile Applications (79-85)
	+ Hara, Sunao
	+ Kawanami, Hiromichi
	+ Saruwatari, Hiroshi
	+ Shikano, Kiyohiro
Providing Interactive and User-Adapted E-City Services by Means of Voice Portals (87-98)
	+ Griol, David
	+ García-Jiménez, María
	+ Callejas, Zoraida
	+ López-Cózar, Ramón
== Multi-domain, Crosslingual Spoken Dialog Systems ==
Efficient Language Model Construction for Spoken Dialog Systems by Inducting Language Resources of Different Languages (101-110)
	+ Misu, Teruhisa
	+ Matsuda, Shigeki
	+ Mizukami, Etsuo
	+ Kashioka, Hideki
	+ Li, Haizhou
Towards Online Planning for Dialogue Management with Rich Domain Knowledge (111-123)
	+ Lison, Pierre
A Two-Step Approach for Efficient Domain Selection in Multi-Domain Dialog Systems (125-131)
	+ Lee, Injae
	+ Kim, Seokhwan
	+ Kim, Kyungduk
	+ Lee, Donghyeon
	+ Choi, Junhwi
	+ Ryu, Seonghan
	+ Lee, Gary Geunbae
== Human-Robot Interaction ==
From Informative Cooperative Dialogues to Long-Term Social Relation with a Robot (135-151)
	+ Buendia, Axel
	+ Devillers, Laurence
Integration of Multiple Sound Source Localization Results for Speaker Identification in Multiparty Dialogue System (153-165)
	+ Nakashima, Taichi
	+ Komatani, Kazunori
	+ Sato, Satoshi
Investigating the Social Facilitation Effect in Human--Robot Interaction (167-177)
	+ Wechsung, Ina
	+ Ehrenbrink, Patrick
	+ Schleicher, Robert
	+ Möller, Sebastian
More Than Just Words: Building a Chatty Robot (179-185)
	+ Gilmartin, Emer
	+ Campbell, Nick
Predicting When People Will Speak to a Humanoid Robot (187-198)
	+ Sugiyama, Takaaki
	+ Komatani, Kazunori
	+ Sato, Satoshi
Designing an Emotion Detection System for a Socially Intelligent Human-Robot Interaction (199-211)
	+ Chastagnol, Clément
	+ Clavel, Céline
	+ Courgeon, Matthieu
	+ Devillers, Laurence
Multimodal Open-Domain Conversations with the Nao Robot (213-224)
	+ Jokinen, Kristiina
	+ Wilcock, Graham
Component Pluggable Dialogue Framework and Its Application to Social Robots (225-237)
	+ Jiang, Ridong
	+ Tan, Yeow Kee
	+ Limbu, Dilip Kumar
	+ Dung, Tran Anh
	+ Li, Haizhou
== Spoken Dialog Systems Components ==
Visual Contribution to Word Prominence Detection in a Playful Interaction Setting (241-247)
	+ Heckmann, Martin
Label Noise Robustness and Learning Speed in a Self-Learning Vocal User Interface (249-259)
	+ Ons, Bart
	+ Gemmeke, Jort F.
	+ Van hamme, Hugo
Topic Classification of Spoken Inquiries Using Transductive Support Vector Machine (261-267)
	+ Torres, Rafael
	+ Kawanami, Hiromichi
	+ Matsui, Tomoko
	+ Saruwatari, Hiroshi
	+ Shikano, Kiyohiro
Frame-Level Selective Decoding Using Native and Non-native Acoustic Models for Robust Speech Recognition to Native and Non-native Speech (269-274)
	+ Oh, Yoo Rhee
	+ Chung, Hoon
	+ Kang, Jeom-ja
	+ Lee, Yun Keun
Analysis of Speech Under Stress and Cognitive Load in USAR Operations (275-281)
	+ Charfuelan, Marcela
	+ Kruijff, Geert-Jan
== Dialog Management ==
Does Personality Matter? Expressive Generation for Dialogue Interaction (285-301)
	+ Walker, Marilyn A.
	+ Sawyer, Jennifer
	+ Lin, Grace
	+ Wing, Sam
Application and Evaluation of a Conditioned Hidden Markov Model for Estimating Interaction Quality of Spoken Dialogue Systems (303-312)
	+ Ultes, Stefan
	+ ElChab, Robert
	+ Minker, Wolfgang
FLoReS: A Forward Looking, Reward Seeking, Dialogue Manager (313-325)
	+ Morbini, Fabrizio
	+ DeVault, David
	+ Sagae, Kenji
	+ Gerten, Jillian
	+ Nazarian, Angela
	+ Traum, David
A Clustering Approach to Assess Real User Profiles in Spoken Dialogue Systems (327-334)
	+ Callejas, Zoraida
	+ Griol, David
	+ Engelbrecht, Klaus-Peter
	+ López-Cózar, Ramón
What Are They Achieving Through the Conversation? Modeling Guide--Tourist Dialogues by Extended Grounding Networks (335-341)
	+ Mizukami, Etsuo
	+ Kashioka, Hideki
Co-adaptation in Spoken Dialogue Systems (343-353)
	+ Chandramohan, Senthilkumar
	+ Geist, Matthieu
	+ Lefèvre, Fabrice
	+ Pietquin, Olivier
Developing Non-goal Dialog System Based on Examples of Drama Television (355-361)
	+ Nio, Lasguido
	+ Sakti, Sakriani
	+ Neubig, Graham
	+ Toda, Tomoki
	+ Adriani, Mirna
	+ Nakamura, Satoshi
A User Model for Dialog System Evaluation Based on Activation of Subgoals (363-374)
	+ Engelbrecht, Klaus-Peter
Real-Time Feedback System for Monitoring and Facilitating Discussions (375-387)
	+ Sarda, Sanat
	+ Constable, Martin
	+ Dauwels, Justin
	+ Shoko Dauwels (Okutsu), 	+ 
	+ Elgendi, Mohamed
	+ Mengyu, Zhou
	+ Rasheed, Umer
	+ Tahir, Yasir
	+ Thalmann, Daniel
	+ Magnenat-Thalmann, Nadia
Evaluation of Invalid Input Discrimination Using Bag-of-Words for Speech-Oriented Guidance System (389-397)
	+ Majima, Haruka
	+ Torres, Rafael
	+ Kawanami, Hiromichi
	+ Hara, Sunao
	+ Matsui, Tomoko
	+ Saruwatari, Hiroshi
	+ Shikano, Kiyohiro

[24] On handling textual errors in latent document modeling KM track: extraction and text mining / Yang, Tao / Lee, Dongwon Proceedings of the 2013 ACM Conference on Information and Knowledge Management 2013-10-27 p.2089-2098

ACM Digital Library Link

Summary: As large-scale text data become available on the Web, textual errors in a corpus are often inevitable (e.g., digitizing historic documents). Due to the calculation of frequencies of words, however, such textual errors can significantly impact the accuracy of statistical models such as the popular Latent Dirichlet Allocation (LDA) model. To address such an issue, in this paper, we propose two novel extensions to LDA (i.e., TE-LDA and TDE-LDA): (1) The TE-LDA model incorporates textual errors into term generation process; and (2) The TDE-LDA model extends TE-LDA further by taking into account topic dependency to leverage on semantic connections among consecutive words even if parts are typos. Using both real and synthetic data sets with varying degrees of "errors", our TDE-LDA model outperforms: (1) the traditional LDA model by 16%-39% (real) and 20%-63% (synthetic); and (2) the state-of-the-art N-Grams model by 11%-27% (real) and 16%-54% (synthetic).

[25] DTMBIO 2013: international workshop on data and text mining in biomedical informatics Co-located workshop summaries / Butte, Atul / Lee, Doheon / Xu, Hua / Song, Min Proceedings of the 2013 ACM Conference on Information and Knowledge Management 2013-10-27 p.2555-2556

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Summary: The organizers of ACM Seventh International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO 13) are pleased to announce that the seventh DTMBIO will be held in conjunction with CIKM, one of the largest data management conferences. The major interests of DTMBIO are on the state-of-the-art applications of data and text mining on biomedical research problems. DTMBIO 13 will be a forum of discussing and exchanging informatics related techniques and problems in the context of biomedical research.