Publications

Over 35 peer reviewed papers. H-index: 15, most cited article >200 citations, >1000 total (according to Google scholar on the 24/04/17). You can also find my publications on DBLP and Scopus.


 

Journal articles and chapters:

2016

N. Tintarev and J. Masthoff. Effects of Individual Differences in Working Memory on Plan Presentational Choices Frontiers in Psychology, section Human-Media Interaction (IF: 2.463).http://journal.frontiersin.org/article/10.3389/fpsyg.2016.01793/full

 

N. Tintarev, J. O'Donovan, A. Felfernig. Human Interaction with Artificial Advice Givers. ACM Transactions on Interactive Intelligent Systems 4(6), Article 26.http://dl.acm.org/citation.cfm?doid=3015563.3014432

 

N. Tintarev, E. Reiter, R. Black, A. Waller, J. Reddington. Using Natural Language Generation for Children with Complex Communication Needs, in the Wild....International Journal of Human-Computer Studies., 92, 1-16.http://dx.doi.org/10.1016/j.ijhcs.2016.04.005

2015

N. Tintarev & J. Masthoff. Explaining Recommendations: Design and Evaluation Recommender Systems Handbook (Second Ed). Kantor, Ricci, Rokach, Shapira (Eds). Springer. http://www.springer.com/gb/book/97814899763692

2014

K. Smith, J. Masthoff, N. Tintarev and W. Moncur. The Development and Evaluation of an Emotional Support Algorithm for Carers. Special Issue on Artificial Intelligence for Human Computer Interaction of Intelligenza Artificiale, Berardina Nadja De Carolis and Cristina Gena (eds.), IOS Press.

2013

N. Tintarev, E. Reiter, A. Waller and R. Black. Natural Language Generation for Augmentative and Alternative Communication. In Natural Language Generation For Interactive Systems, A. Stent and S. Bangalore (eds.), Cambridge University Press.

2012

N. Tintarev & J. Masthoff. Evaluating the effectiveness of explanations for recommender systems: Methodological issues and empirical studies on the impact of personalization. User Modeling and User-Adapted Interaction

2010

N. Tintarev & J. Masthoff. Explanations in Recommender Systems. Recommender Systems Handbook. Kantor, Ricci, Rokach, Shapira (Eds). Springer

 


 

Conference papers and other publications:

2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006


 

2016

B. Kang, N. Tintarev, T. Hollerer, and J. O'Donovan. What am I not seeing? An Interactive Approach to Social Content Discovery in Microblogs. 8th International Conference on Social Informatics (SocInfo).

K. Smith, J. Masthoff, N. Tintarev. Expressing Emotions as Emoticons for Online Intelligent Agents. British Human Computer Interaction.

A. Ramos Soto, N. Tintarev, R. de Oliveira, E. Reiter, and K. van Deemter. Natural Language Generation and Fuzzy Sets: An Exploratory Study on Geographical Referring Expression Generation FUZZ-IEEE in association with the IEEE World Congress on Computational Intelligence.

2015

N. Tintarev, J. B. Kang, T. Höllerer and J. O'Donovan. Inspection Mechanisms for Community-based Content Discovery in Microblogs. Joint Workshop on Interfaces and Human Decision Making for Recommender Systems in conjunction with Recsys.

N. Tintarev, M. Green, J. Masthoff, and F. Hermens. Benefits and risks of emphasis adaptation in study workflows. Workshop on Personalization Approaches in Learning Environments in conjunction with UMAP.

M. Dennis, K. Smith, J. Masthoff and N. Tintarev. How Can Skin Check Reminders be Personalised to Patient Conscientiousness? Workshop on Personalisation and Adaptation in Technology for Health in conjunction with UMAP.

K. Smith, J. Masthoff, N. Tintarev and W. Moncur. Adapting Emotional Support to Personality for Carers Experiencing Stress. Workshop on Personalisation and Adaptation in Technology for Health in conjunction with UMAP.

2014

K. Smith, J. Masthoff, W. Moncur, and N. Tintarev. Supporting Carers through Intelligent Virtual Agents. SICSA PhD Student conference. Best poster award (2nd year)

F. Cerutti, N. Tintarev, and N. Oren. Formal Arguments, Preferences, and Natural Language Interfaces to Humans: an Empirical Evaluation. ECAI'14 (acceptance rate fp: 28%).

N. Tintarev, R. Kutlak, J. Masthoff, K. van Deemter, N. Oren and W. Vasconcelos. Adaptive Visualization of Plans. UMAP'14 demo track.

K. Arts, Y. Melero, G. Webster, N. Sharma, N. Tintarev, C. Mellish, Y. Sripada, X. Lambin, A.-M. MacMaster, H. Sutherland, C. Horrill, R. van der Wal. Impacts of digital innovation on volunteer data submission in ecological citizen science. Digital Conservation. University of Aberdeen, Scotland, UK (Program. Abstract on page 6 of PDF)

F. Cerutti, N. Tintarev, and N. Oren. Formal Argumentation: A Human-centric Perspective. ArgMAS in conjunction with AAMAS. (position paper)

Demo:

N. Tintarev and R. Kutlak. SAsSy Explanations - Making Plans Scrutable with Argumentation and Natural Language Generation. IUI demo track.

 

N. Tintarev and R. Kutlak. SAsSy - Making Decisions Transparent with Argumentation and Natural Language Generation Workshop on interacting with Smart Objects in association with IUI.

2013

N. Tintarev, M. Dennis and J. Masthoff. Adapting Recommendation Diversity to Openness to Experience: A Study of Human Behaviour. UMAP'2013

 

N. Tintarev, N. Oren, R. Kutlak, M. Green, J. Masthoff, K. van Deemter and W. Vasconcelos. SAsSy - Scrutable Autonomous Systems. Do-Form: Enabling Domain Experts to use Formalised Reasoning a symposium at AISB 2013

 

S. Cleger-Tamayo, J. M. Fernandez-Luna, J. Huete-Guadix, N. Tintarev. Being confident about the quality of the predictions in Recommender Systems. ECIR2013.

2012

C. Mellish and N. Tintarev. Natural Language Generation for the Digital Economy Digital Economy All Hands Conference - Digital Futures 2012

 

R. Van der Wal, A. Siddharthan, H. Nguyen, C. Mellish, N. Tintarev, Y. Sripada, I. Pearce, X. Lambin. Tell Me a Story about the Birds and the Bees: Using Computer-generated Personalised Feedback to Foster Public Engagement in Nature Conservation Projects. European Congress of Conservation Biology (ECCB)

 

N. Tintarev, Y. Melero, S. Sripada, E. Tait, R. Van Der Wal and C. Mellish. MinkApp: Generating Spatio-temporal Summaries for Nature Conservation Volunteers. (INLG'2012) http://aclweb.org/anthology-new/siggen.html#2012_0

 

R. Black, A. Waller, E. Reiter and N. Tintarev Automatic Utterance Generation for Personal Narrative - System Development and Feasibility Experiences (based on the ISAAC submission) Communication Matters National Conference (CM)

 

R. Black, A. Waller, E. Reiter and N. Tintarev Automatic Utterance Generation for Personal Narrative - System Development and Feasibility Experiences ISAAC Research Symposium

2011

R. Black, A. Waller, E. Reiter and N. Tintarev How was School today...? Using a mobile phone to support data collection for automatic narrative generation Communication Matters National Conference (CM) (Abstract)

 

R. Black, A. Waller, N. Tintarev, E. Reiter and J. Reddington A Mobile Phone Based Personal Narrative System SIGACCESS Conference on Computers and Accessibility (ASSETS) (acceptance rate fp: 30% ) typo3/papers/ASSETS2011_Black-et-al.pdf

Demo:

R. Black, A. Waller, E. Reiter, N. Tintarev and J. Reddington. How was School today...? A Prototype System that uses a Mobile Phone to Support Personal Narrative for Children with Complex Communication Workshop on Speech and Language Processing for Assistive Technologies in association with EMNLP Edinburgh, Scotland. (Abstract from demo session)

 

R. Black, J. Reddington, E. Reiter, N. Tintarev and A. Waller. "Hands Busy, Eyes Busy": Generating Stories from Sensor Data for Automotive applications. Workshop on Multimodal Interfaces for Automotive Applications in conjunction with Intelligent User Interfaces (IUI).

 

J. Reddington and N. Tintarev. Automatically Generating Stories from Sensor Data. Intelligent User Interfaces (IUI).

2010

N. Tintarev. PhD thesis: Explaining recommendations

 

R. Black, J. Reddington, E. Reiter, N. Tintarev and A. Waller. Using NLG and Sensors to Support Personal Narrative. Digital Economy All Hands Meeting - Digital Futures

 

N. Tintarev, A. Flores, and X. Amatriain. Off the beaten track - a mobile field study exploring the long tail of tourist recommendations. MobileHCI'10 (acceptance rate fp: 23% )

 

A demo proposal for this work was also accepted
R. Black, J. Reddington, E. Reiter, N. Tintarev and A. Waller. Using NLG and Sensors to Support Personal Narrative for Children with Complex Communication Needs. Workshop on Speech and Language Processing for Assistive Technologies in association with NAACL-HLT'10

2009

N Tintarev & J Masthoff. Evaluating Recommender Explanations: Problems Experienced and Lessons Learned for Evaluation of Adaptive Systems. In the workshop on User-Centred Design and Evaluation of Adaptive Systems in association with UMAP'09, Trento.

 

X. Amatriain, J.M. Pujol, N. Tintarev, N. Oliver Rate it Again: Increasing Recommendation Accuracy by User re-Rating", in the 2009 ACM RecSys Conference

2008

N Tintarev & J Masthoff. Over- and underestimation in different product domains. In Workshop on Recommender Systems associated with the European Conference on Artificial Intelligence'08, Patras.

 

Awarded James Chen Best Student Paper:
N Tintarev & J Masthoff. The Effectiveness of Personalized Movie Explanations: An Experiment Using Commercial Meta-data. In Adaptive Hypermedia '08 (acceptance rate fp: 27%), Hannover.

2007

N Tintarev & J Masthoff. Effective Explanations of Recommendations: User-Centered Design. In ACM Recommender Systems '07, Minneapolis.

 

N Tintarev. Explanations of Recommendations. In Doctoral Consortium ACM Recommender Systems '07, Minneapolis.

 

N Tintarev Explaining Recommendations. In Doctoral Consortium, User Modeling'07, Corfu.

 

N Tintarev & J Masthoff. A Survey of Explanations in Recommender Systems. In G Uchyigit (ed), Workshop on Recommender Systems and Intelligent User Interfaces associated with ICDE'07, Istanbul.

2006

N Tintarev & J Masthoff. Similarity for News Recommender Systems. In G Uchyigit (ed), Workshop on Recommender Systems and Intelligent User Interfaces associated with AH'06, Dublin.

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2017
  • Mengmeng Ye, Christoph Lofi, and Nava Tintarev. (2017). Memorability of Semantically Grouped Online Reviews. In Semantics. [ Bibtex ]
  • Pavel Kucherbaev, Nava Tintarev, and Carlos Rodriguez. (2017). Ephemeral Context to Support Robust and Diverse Recommendations. In Machine Learning for Music Discovery workshop at ICML, Sydney, Australia. [ Bibtex ]
  • Nava Tintarev (2017). Presenting Challenging Recommendations: Making Diverse News Acceptable. In FATREC Workshop on Responsible Recommendation at ACM Recsys, Como, Italy. [ Bibtex ]
Nava Tintarev