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Pearl Huan Z. Pu
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- affiliation: EPFL, Human-Computer Interaction Group, Lausanne, Switzerland
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2020 – today
- 2023
[i14]Ekaterina Svikhnushina, Pearl Pu:
Approximating Human Evaluation of Social Chatbots with Prompting. CoRR abs/2304.05253 (2023)- [i13]Anuradha Welivita, Pearl Pu:
Use of a Taxonomy of Empathetic Response Intents to Control and Interpret Empathy in Neural Chatbots. CoRR abs/2305.10096 (2023) - [i12]Anuradha Welivita, Pearl Pu:
Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy. CoRR abs/2305.10195 (2023) - 2022
- [j31]Dietmar Jannach
, Pearl Pu, Francesco Ricci, Markus Zanker:
Recommender Systems: Trends and Frontiers. AI Mag. 43(2): 145-150 (2022) - [j30]Kavous Salehzadeh Niksirat, Fitra Rahmamuliani, Xiangshi Ren, Pearl Pu:
Understanding intergenerational fitness tracking practices: 12 suggestions for design. CCF Trans. Pervasive Comput. Interact. 4(1): 13-31 (2022) - [j29]Ekaterina Svikhnushina, Pearl Pu:
PEACE: A Model of Key Social and Emotional Qualities of Conversational Chatbots. ACM Trans. Interact. Intell. Syst. 12(4): 32:1-32:29 (2022) - [c96]Anuradha Welivita, Pearl Pu:
HEAL: A Knowledge Graph for Distress Management Conversations. AAAI 2022: 11459-11467 - [c95]Ekaterina Svikhnushina, Iuliana Voinea, Anuradha Welivita, Pearl Pu:
A Taxonomy of Empathetic Questions in Social Dialogs. ACL (1) 2022: 2952-2973 - [c94]Anuradha Welivita, Pearl Pu:
Curating a Large-Scale Motivational Interviewing Dataset Using Peer Support Forums. COLING 2022: 3315-3330 - [c93]Ekaterina Svikhnushina, Anastasiia Filippova, Pearl Pu:
iEval: Interactive Evaluation Framework for Open-Domain Empathetic Chatbots. SIGDIAL 2022: 419-431 - [i11]Yubo Xie, Junze Li, Pearl Pu:
AFEC: A Knowledge Graph Capturing Social Intelligence in Casual Conversations. CoRR abs/2205.10850 (2022) - [i10]Junze Li, Mengjie Zhao, Yubo Xie, Antonis Maronikolakis, Pearl Pu, Hinrich Schütze:
This joke is [MASK]: Recognizing Humor and Offense with Prompting. CoRR abs/2210.13985 (2022) - 2021
- [j28]Dietmar Jannach, Pearl Pu, Francesco Ricci, Markus Zanker:
Recommender Systems: Past, Present, Future. AI Mag. 42(3): 3-6 (2021) - [c92]Ekaterina Svikhnushina, Alexandru Placinta, Pearl Pu:
User Expectations of Conversational Chatbots Based on Online Reviews. Conference on Designing Interactive Systems 2021: 1481-1491 - [c91]Yubo Xie, Junze Li, Pearl Pu:
Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition. ACL/IJCNLP (2) 2021: 33-39 - [c90]Yubo Xie, Pearl Pu:
Empathetic Dialog Generation with Fine-Grained Intents. CoNLL 2021: 133-147 - [c89]Anuradha Welivita, Yubo Xie, Pearl Pu:
A Large-Scale Dataset for Empathetic Response Generation. EMNLP (1) 2021: 1251-1264 - [c88]Yucheng Jin, Li Chen, Wanling Cai, Pearl Pu:
Key Qualities of Conversational Recommender Systems: From Users' Perspective. HAI 2021: 93-102 - [c87]Ekaterina Svikhnushina, Pearl Pu:
Key Qualities of Conversational Chatbots - the PEACE Model. IUI 2021: 520-530 - [c86]Yubo Xie, Junze Li, Pearl Pu:
HumorHunter at SemEval-2021 Task 7: Humor and Offense Recognition with Disentangled Attention. SemEval@ACL/IJCNLP 2021: 275-280 - [i9]Yubo Xie, Pearl Pu:
Generating Empathetic Responses with a Large Scale Dialog Dataset. CoRR abs/2105.06829 (2021) - [i8]Yubo Xie, Pearl Pu:
How Commonsense Knowledge Helps with Natural Language Tasks: A Survey of Recent Resources and Methodologies. CoRR abs/2108.04674 (2021) - 2020
- [c85]Anuradha Welivita, Pearl Pu:
A Taxonomy of Empathetic Response Intents in Human Social Conversations. COLING 2020: 4886-4899 - [c84]Yubo Xie, Ekaterina Svikhnushina, Pearl Pu:
A Multi-Turn Emotionally Engaging Dialog Model. HAI-GEN+user2agent@IUI 2020 - [i7]Ekaterina Svikhnushina, Pearl Pu:
Should Machines Feel or Flee Emotions? User Expectations and Concerns about Emotionally Aware Chatbots. CoRR abs/2006.13883 (2020) - [i6]Anuradha Welivita, Pearl Pu:
A Taxonomy of Empathetic Response Intents in Human Social Conversations. CoRR abs/2012.04080 (2020) - [i5]Yubo Xie, Junze Li, Pearl Pu:
Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition. CoRR abs/2012.12007 (2020) - [i4]Anuradha Welivita, Yubo Xie, Pearl Pu:
Fine-grained Emotion and Intent Learning in Movie Dialogues. CoRR abs/2012.13624 (2020)
2010 – 2019
- 2019
- [j27]Xipei Ren, Bin Yu, Yuan Lu, Yu Chen, Pearl Pu:
HealthSit: Designing Posture-Based Interaction to Promote Exercise during Fitness Breaks. Int. J. Hum. Comput. Interact. 35(10): 870-885 (2019) - [i3]Yubo Xie, Ekaterina Svikhnushina, Pearl Pu:
A Multi-Turn Emotionally Engaging Dialog Model. CoRR abs/1908.07816 (2019) - 2018
- [j26]Igor Kulev, Pearl Pu, Boi Faltings:
A Bayesian Approach to Intervention-Based Clustering. ACM Trans. Intell. Syst. Technol. 9(4): 44:1-44:23 (2018) - [c83]Daizong Ding, Mi Zhang, Xudong Pan, Duocai Wu, Pearl Pu:
Geographical Feature Extraction for Entities in Location-based Social Networks. WWW 2018: 833-842 - 2017
- [j25]Li Chen, Feng Wang, Pearl Pu:
Investigating users' eye movement behavior in critiquing-based recommender systems. AI Commun. 30(3-4): 207-222 (2017) - [j24]Mirana Randriambelonoro, Yu Chen, Pearl Pu:
Can Fitness Trackers Help Diabetic and Obese Users Make and Sustain Lifestyle Changes? Computer 50(3): 20-29 (2017) - [j23]Yu Chen, Danni Le, Zerrin Yumak, Pearl Pu:
EHR: a Sensing Technology Readiness Model for Lifestyle Changes. Mob. Networks Appl. 22(3): 478-492 (2017) - [c82]Valentina Sintsova, Margarita Bolívar Jiménez, Pearl Pu:
Modeling the Impact of Modifiers on Emotional Statements. CICLing (2) 2017: 71-89 - [c81]Yu Chen, Yunan Chen, Mirana Michelle Randriambelonoro, Antoine Geissbühler, Pearl Pu:
Design Considerations for Social Fitness Applications: Comparing Chronically Ill Patients and Healthy Adults. CSCW 2017: 1753-1762 - [c80]Pearl Pu:
Emotion Analysis in Natural Language. UMAP 2017: 3 - [e7]Domonkos Tikk, Pearl Pu:
Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 28, 2017. CEUR Workshop Proceedings 1905, CEUR-WS.org 2017 [contents] - 2016
- [j22]Valentina Sintsova, Pearl Pu:
Dystemo: Distant Supervision Method for Multi-Category Emotion Recognition in Tweets. ACM Trans. Intell. Syst. Technol. 8(1): 13:1-13:22 (2016) - [c79]Yu Chen, Mirana Randriambelonoro, Antoine Geissbühler, Pearl Pu:
Social Incentives in Pervasive Fitness Apps for Obese and Diabetic patients. CSCW Companion 2016: 245-248 - [c78]Yu Chen, Yunan Chen, Mirana Randriambelonoro, Antoine Geissbühler, Pearl Pu:
Peer Influence on the Engagement of Fitness Tracker Usage: A Diabetic and Obesity Study. ICHI 2016: 192-197 - [i2]Sephora Madjiheurem, Valentina Sintsova, Pearl Pu:
Qualitative Framing of Financial Incentives - A Case of Emotion Annotation. CoRR abs/1609.00439 (2016) - 2015
- [c77]Mirana Randriambelonoro, Yu Chen, Antoine Geissbühler, Pearl Pu:
Exploring physical activity monitoring devices for diabetic and obese patients. UbiComp/ISWC Adjunct 2015: 1003-1008 - 2014
- [j21]Li Chen, Pearl Pu:
Experiments on user experiences with recommender interfaces. Behav. Inf. Technol. 33(4): 372-394 (2014) - [c76]Onur Yürüten, Jiyong Zhang, Pearl Pu:
Decomposing Activities of Daily Living to Discover Routine Clusters. AAAI 2014: 1348-1354 - [c75]Lionel Martin, Pearl Pu:
Prediction of Helpful Reviews Using Emotions Extraction. AAAI 2014: 1551-1557 - [c74]Yu Chen, Pearl Pu:
Designing emotion awareness interface for group recommender systems. AVI 2014: 347-348 - [c73]Yu Chen, Pearl Pu:
HealthyTogether: exploring social incentives for mobile fitness applications. CCHI 2014: 25-34 - [c72]Onur Yürüten, Jiyong Zhang, Pearl Huan Z. Pu:
Predictors of life satisfaction based on daily activities from mobile sensor data. CHI 2014: 497-500 - [c71]Rong Hu, Pearl Pu:
Exploring personality's effect on users' rating behavior. CHI Extended Abstracts 2014: 2599-2604 - [c70]Boi Faltings, Radu Jurca, Pearl Pu, Bao Duy Tran:
Incentives to Counter Bias in Human Computation. HCOMP 2014 - [c69]Valentina Sintsova, Claudiu Cristian Musat, Pearl Pu:
Semi-Supervised Method for Multi-category Emotion Recognition in Tweets. ICDM Workshops 2014: 393-402 - [c68]Renato Kempter, Valentina Sintsova, Claudiu Cristian Musat, Pearl Pu:
EmotionWatch: Visualizing Fine-Grained Emotions in Event-Related Tweets. ICWSM 2014 - [c67]Yu Chen, Xiaojuan Ma, Alfredo Cerezo, Pearl Pu:
Empatheticons: Designing Emotion Awareness Tools for Group Recommenders. Interacción 2014: 16:1-16:8 - [c66]Lionel Martin, Valentina Sintsova, Pearl Pu:
Are influential writers more objective?: an analysis of emotionality in review comments. WWW (Companion Volume) 2014: 799-804 - 2013
- [c65]Marina Boia, Boi Faltings, Claudiu Cristian Musat, Pearl Pu:
A : ) Is Worth a Thousand Words: How People Attach Sentiment to Emoticons and Words in Tweets. SocialCom 2013: 345-350 - [c64]Rong Hu, Pearl Pu:
Exploring Relations between Personality and User Rating Behaviors. UMAP Workshops 2013 - [c63]Valentina Sintsova, Claudiu Cristian Musat, Pearl Pu:
Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation. WASSA@NAACL-HLT 2013: 12-20 - [e6]Qiang Yang, Irwin King, Qing Li, Pearl Pu, George Karypis:
Seventh ACM Conference on Recommender Systems, RecSys '13, Hong Kong, China, October 12-16, 2013. ACM 2013, ISBN 978-1-4503-2409-0 [contents] - 2012
- [j20]Li Chen, Pearl Pu:
Critiquing-based recommenders: survey and emerging trends. User Model. User Adapt. Interact. 22(1-2): 125-150 (2012) - [j19]Alexander Felfernig, Robin D. Burke, Pearl Pu:
Preface to the special issue on user interfaces for recommender systems. User Model. User Adapt. Interact. 22(4-5): 313-316 (2012) - [j18]Pearl Pu, Li Chen, Rong Hu:
Evaluating recommender systems from the user's perspective: survey of the state of the art. User Model. User Adapt. Interact. 22(4-5): 317-355 (2012) - [c62]George Popescu, Pearl Pu:
What's the best music you have?: designing music recommendation for group enjoyment in groupfun. CHI Extended Abstracts 2012: 1673-1678 - [c61]Nava Tintarev, Rong Hu, Pearl Pu:
RecSys'12 workshop on interfaces for recommender systems (InterfaceRS'12). RecSys 2012: 355-356 - 2011
- [c60]Li Chen, Pearl Pu:
Users' eye gaze pattern in organization-based recommender interfaces. IUI 2011: 311-314 - [c59]Rong Hu, Pearl Pu:
Enhancing recommendation diversity with organization interfaces. IUI 2011: 347-350 - [c58]Rong Hu, Pearl Pu:
Helping Users Perceive Recommendation Diversity. DiveRS@RecSys 2011: 43-50 - [c57]Pearl Pu, Li Chen, Rong Hu:
A user-centric evaluation framework for recommender systems. RecSys 2011: 157-164 - [c56]Rong Hu, Pearl Pu:
Enhancing collaborative filtering systems with personality information. RecSys 2011: 197-204 - [p1]Pearl Pu, Boi Faltings, Li Chen, Jiyong Zhang, Paolo Viappiani:
Usability Guidelines for Product Recommenders Based on Example Critiquing Research. Recommender Systems Handbook 2011: 511-545 - [e5]Pearl Pu, Michael J. Pazzani, Elisabeth André, Doug Riecken:
Proceedings of the 16th International Conference on Intelligent User Interfaces, IUI 2011, Palo Alto, CA, USA, February 13-16, 2011. ACM 2011, ISBN 978-1-4503-0419-1 [contents] - [i1]Boi Faltings, Pearl Pu, Paolo Viappiani:
Preference-based Search using Example-Critiquing with Suggestions. CoRR abs/1110.0026 (2011) - 2010
- [j17]Li Chen, Pearl Pu:
Experiments on the preference-based organization interface in recommender systems. ACM Trans. Comput. Hum. Interact. 17(1): 5:1-5:33 (2010) - [c55]Sylvain Castagnos, Nicolas Jones, Pearl Pu:
Eye-tracking product recommenders' usage. RecSys 2010: 29-36 - [c54]Rong Hu, Pearl Pu:
A Study on User Perception of Personality-Based Recommender Systems. UMAP 2010: 291-302 - [c53]Li Chen, Pearl Pu:
Eye-Tracking Study of User Behavior in Recommender Interfaces. UMAP 2010: 375-380
2000 – 2009
- 2009
- [j16]Li Chen, Pearl Pu:
Interaction design guidelines on critiquing-based recommender systems. User Model. User Adapt. Interact. 19(3): 167-206 (2009) - [c52]Rong Hu, Pearl Pu:
A comparative user study on rating vs. personality quiz based preference elicitation methods. IUI 2009: 367-372 - [c51]Rong Hu, Pearl Pu:
Acceptance issues of personality-based recommender systems. RecSys 2009: 221-224 - [c50]Pearl Pu, Maoan Zhou, Sylvain Castagnos:
Critiquing recommenders for public taste products. RecSys 2009: 249-252 - [c49]Sylvain Castagnos, Nicolas Jones, Pearl Pu:
Recommenders' influence on buyers' decision process. RecSys 2009: 361-364 - [c48]Nicolas Jones, Pearl Pu, Li Chen:
How Users Perceive and Appraise Personalized Recommendations. UMAP 2009: 461-466 - [e4]John Chuang, Lance Fortnow, Pearl Pu:
Proceedings 10th ACM Conference on Electronic Commerce (EC-2009), Stanford, California, USA, July 6--10, 2009. ACM 2009, ISBN 978-1-60558-458-4 [contents] - 2008
- [j15]Paolo Viappiani, Pearl Pu, Boi Faltings:
Preference-based search with adaptive recommendations. AI Commun. 21(2-3): 155-175 (2008) - [j14]Pearl Pu, Li Chen:
User-Involved Preference Elicitation for Product Search and Recommender Systems. AI Mag. 29(4): 93-103 (2008) - [j13]Pearl Pu, Li Chen, Pratyush Kumar:
Evaluating product search and recommender systems for E-commerce environments. Electron. Commer. Res. 8(1-2): 1-27 (2008) - [c47]Li Chen, Pearl Pu:
A cross-cultural user evaluation of product recommender interfaces. RecSys 2008: 75-82 - [c46]Jiyong Zhang, Nicolas Jones, Pearl Pu:
A visual interface for critiquing-based recommender systems. EC 2008: 230-239 - [e3]Wolfgang Nejdl, Judy Kay, Pearl Pu, Eelco Herder:
Adaptive Hypermedia and Adaptive Web-Based Systems, 5th International Conference, AH 2008, Hannover, Germany, July 29 - August 1, 2008. Proceedings. Lecture Notes in Computer Science 5149, Springer 2008, ISBN 978-3-540-70984-8 [contents] - [e2]Pearl Pu, Derek G. Bridge, Bamshad Mobasher, Francesco Ricci:
Proceedings of the 2008 ACM Conference on Recommender Systems, RecSys 2008, Lausanne, Switzerland, October 23-25, 2008. ACM 2008, ISBN 978-1-60558-093-7 [contents] - 2007
- [j12]Pearl Pu, Li Chen:
Trust-inspiring explanation interfaces for recommender systems. Knowl. Based Syst. 20(6): 542-556 (2007) - [c45]Barry O'Sullivan, Alexandre Papadopoulos, Boi Faltings, Pearl Pu:
Representative Explanations for Over-Constrained Problems. AAAI 2007: 323-328 - [c44]Li Chen, Pearl Pu:
Hybrid critiquing-based recommender systems. IUI 2007: 22-31 - [c43]Jiyong Zhang, Pearl Pu:
Refining preference-based search results through Bayesian filtering. IUI 2007: 294-297 - [c42]James Reilly, Jiyong Zhang, Lorraine McGinty, Pearl Pu, Barry Smyth:
A comparison of two compound critiquing systems. IUI 2007: 317-320 - [c41]Jiyong Zhang, Pearl Pu:
A recursive prediction algorithm for collaborative filtering recommender systems. RecSys 2007: 57-64 - [c40]Paolo Viappiani, Pearl Pu, Boi Faltings:
Conversational recommenders with adaptive suggestions. RecSys 2007: 89-96 - [c39]Li Chen, Pearl Pu:
The evaluation of a hybrid critiquing system with preference-based recommendations organization. RecSys 2007: 169-172 - [c38]James Reilly, Jiyong Zhang, Lorraine McGinty, Pearl Pu, Barry Smyth:
Evaluating compound critiquing recommenders: a real-user study. EC 2007: 114-123 - [c37]Li Chen, Pearl Pu:
Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems. User Modeling 2007: 77-86 - 2006
- [j11]Jiyong Zhang, Pearl Pu:
Performance Evaluation of Consumer Decision Support Systems. Int. J. E Bus. Res. 2(3): 28-45 (2006) - [j10]Paolo Viappiani, Boi Faltings, Pearl Pu:
Preference-based Search using Example-Critiquing with Suggestions. J. Artif. Intell. Res. 27: 465-503 (2006) - [c36]Li Chen, Pearl Pu:
Evaluating Critiquing-based Recommender Agents. AAAI 2006: 157-162 - [c35]Paolo Viappiani, Boi Faltings, Pearl Pu:
Evaluating Preference-based Search Tools: A Tale of Two Approaches. AAAI 2006: 205-212 - [c34]Jiyong Zhang, Pearl Pu:
A Comparative Study of Compound Critique Generation in Conversational Recommender Systems. AH 2006: 234-243 - [c33]Pearl Pu, Paolo Viappiani, Boi Faltings:
Increasing user decision accuracy using suggestions. CHI 2006: 121-130 - [c32]Paolo Viappiani, Boi Faltings, Pearl Pu:
The Lookahead Principle for Preference Elicitation: Experimental Results. FQAS 2006: 378-389 - [c31]Pearl Pu, Li Chen:
Trust building with explanation interfaces. IUI 2006: 93-100 - [c30]Jiyong Zhang, Pearl Pu, Boi Faltings:
Agile Decision Agent for Service-Oriented E-Commerce Systems. CEC/EEE 2006: 24 - 2005
- [j9]Paul Janecek, Pearl Pu:
An evaluation of semantic fisheye views for opportunistic search in an annotated image collection. Int. J. Digit. Libr. 5(1): 42-56 (2005) - [c29]Boi Faltings, Pearl Pu, Jiyong Zhang:
Agile Preference Models Based on Soft Constraints. AAAI Spring Symposium: Challenges to Decision Support in a Changing World 2005: 23-28 - [c28]Paul Janecek, Vincent Schickel, Pearl Pu:
Concept Expansion Using Semantic Fisheye Views. ICADL 2005: 273-282 - [c27]Pearl Pu, Boi Faltings:
Intelligent interfaces for preference-based search. IUI 2005: 10 - [c26]Jiyong Zhang, Pearl Pu:
Effort and accuracy analysis of choice strategies for electronic product catalogs. SAC 2005: 808-814 - [c25]Pearl Pu, Li Chen:
Integrating tradeoff support in product search tools for e-commerce sites. EC 2005: 269-278 - 2004
- [j8]Boi Faltings, Marc Torrens, Pearl Pu:
Solution Generation with Qualitative Models of Preferences. Comput. Intell. 20(2): 246-263 (2004) - [j7]Pearl Pu, Boi Faltings:
Decision Tradeoff Using Example-Critiquing and Constraint Programming. Constraints An Int. J. 9(4): 289-310 (2004) - [c24]Boi Faltings, Pearl Pu, Marc Torrens, Paolo Viappiani:
Designing example-critiquing interaction. IUI 2004: 22-29 - [c23]Marc Torrens, Patrick Hertzog, Pearl Pu, Boi Faltings:
Towards an intelligent mobile travel assistant. SAC 2004: 1208-1209 - [c22]Pearl Huan Z. Pu, Pratyush Kumar:
Evaluating example-based search tools. EC 2004: 208-217 - [c21]