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Human Centered NLP with User-Factor Adaptation

Veronica Lynn, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian, H. Andrew Schwartz
2017 Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing  
We introduce a continuous adaptation technique, suited for real-valued user factors that are common in social science and bringing us closer to personalized NLP, adapting to each user uniquely.  ...  We pose the general task of user-factor adaptation -adapting supervised learning models to real-valued user factors inferred from a background of their language, reflecting the idea that a piece of text  ...  Importantly, user-factor adaptation brings us closer to personalized NLP in that with real-valued factors we can now adapt uniquely for each user.  ... 
doi:10.18653/v1/d17-1119 dblp:conf/emnlp/LynnSKBS17 fatcat:3hcguik675eadd4yh46prph3ga

Beware the Rationalization Trap! When Language Model Explainability Diverges from our Mental Models of Language [article]

Rita Sevastjanova, Mennatallah El-Assady
2022 arXiv   pre-print
We further emphasize the need for human-centered design to explain the model from multiple perspectives, progressively adapting explanations to changing user expectations.  ...  Language models learn and represent language differently than humans; they learn the form and not the meaning.  ...  Mental Models in NLP Human mental models of language are critical factors influencing the XAI process outcome.  ... 
arXiv:2207.06897v1 fatcat:g6ezni2d3ncwhjnfpp764c2dqi

Player Adaptive Entertainment Computing (PAEC): Mechanism to model user satisfaction by using Neuro Linguistic Programming (NLP) techniques

Andrew Chiou, Kok Wai Wong
2008 2008 IEEE Symposium On Computational Intelligence and Games  
The concept of Player Adaptive Entertainment Computing (PAEC) is introduced to provide personalized experiences when interacting with the entertainment media.  ...  This is explored in a case study using Neuro Linguistic Programming (NLP) that models the NLP spatial anchors of experiences of a sample group of users during game play.  ...  ROLE OF NLP SPATIAL ANCHORING IN GAMES With the advancement of game AI, adaptive game systems could be one of the solutions for producing a player centered game.  ... 
doi:10.1109/cig.2008.5035660 dblp:conf/cig/ChiouW08 fatcat:tkaibugednaclcry4sbyi3z64u

User testing of a Diagnostic Decision Support System with Automated Chart Review to Facilitate Clinical Genomic Diagnosis [article]

Alanna Kulchak Rahm, Lynn K Feldman, Makenzie A Woltz, Thomas N Person, Jonathon C Reynolds, Troy Jenkins, Conner Jenkins, Joeseph Peterson, Peter N Robinson, Marc S Williams, Nephi A Walton, Michael M Segal
2020 medRxiv   pre-print
Such systems should be designed using the concepts of human-centered design, fit within clinical workflows, and provide solutions to priority problems.  ...  Materials and methods: We adapted a commercially available diagnostic decision support system (DDSS) to use extracted findings from a patient record and combine them with genomic variant information in  ...  [1] [2] [3] [4] It is also recognized that CDS must be designed with the user in mind, fitting the concepts of human-centered design with computer interfaces at the individual clinician level. 1 5  ... 
doi:10.1101/2020.08.21.20179580 fatcat:raol6opohvctvoicfz6copnnw4

A Multi-Platform Annotation Ecosystem for Domain Adaptation

Richard Eckart de Castilho, Nancy Ide, Jin-Dong Kim, Jan-Christoph Klie, Keith Suderman
2019 Proceedings of the 13th Linguistic Annotation Workshop  
To demonstrate their ability to work in concert, we illustrate how to use them to address an interactive domain adaptation task in biomedical entity recognition.  ...  PubAnnotation is supported by the Database Integration Coordination Program funded by National Bioscience Database Center (NBDC) of Japan Science and Technology Agency (JST).  ...  To support domain adaptation, the suggestions can be improved as the user interactively reviews and corrects them.  ... 
doi:10.18653/v1/w19-4021 dblp:conf/acllaw/CastilhoIKKS19 fatcat:y5ipm6ozdnf4lfomkv6qkpwb7q

Exploring 3D Objects with Non-Linear Perspectives in Real-Time, a First User Study

Michael Ortega, David Furió
2020 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services  
We propose to solve the understanding issue by allowing the user to control the transition between linear and non-linear perspectives in real-time with bending gestures.  ...  Using this approach, we present the first user study that investigates real-time manipulation of non-linear perspectives in an exploration task.  ...  Transition to NLP is made by bending into a concave shape: the screen center moves away from the user. • Flat Convex. The initial curvature is flat.  ... 
doi:10.1145/3379503.3403533 dblp:conf/mhci/OrtegaF20 fatcat:c4m2bibd5bgajmdsxasermdo3a

Mobile Peer-Support for Opioid Use Disorders: Refinement of an Innovative Machine Learning Tool

2020 Journal of Psychiatry and Brain Science  
This project will demonstrate the robustness of these AI tools by adapting them to catch OUD-specific "flags" in peer messages while also examining the adoptability of the platform itself within OUD patients  ...  The majority of individuals with Opioid Use Disorder (OUD) do not receive any formal substance use treatment.  ...  Natural language processing (NLP) is the subset of AI focusing on human language [36, 37] .  ... 
doi:10.20900/jpbs.20200001 pmid:32149192 pmcid:PMC7059630 fatcat:c25mzsrz4vbtndkbv745qc7mhi

Designing Adaptive Argumentation Learning Systems Based on Artificial Intelligence

Thiemo Wambsganss
2021 Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems  
Right: A user is receiving adaptive argumentation tutoring with intelligent feedback and theory input by our conversational learning tutor ArgueTutor.  ...  My results indicate that adaptive learning tools based on ML algorithms and user-centered design patterns help students to develop better argumentation writing skills.  ...  to argue with intelligent formative feedback provided by an algorithm based on NLP and ML.  ... 
doi:10.1145/3411763.3443422 fatcat:af5qwnmydzfqvdclcbgrxlk5xu

Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research [article]

Denis Newman-Griffis, Jill Fain Lehman, Carolyn Rosé, Harry Hochheiser
2021 arXiv   pre-print
Natural language processing (NLP) research combines the study of universal principles, through basic science, with applied science targeting specific use cases and settings.  ...  We show that many significant advances in NLP research have emerged from the intersection of basic principles with application needs, and present a conceptual framework outlining the stakeholders and key  ...  standards, limited reproducibility, and lack of user-centered design (all factors presenting basic research opportunities, in addition to NLP task improvement).  ... 
arXiv:2104.07874v1 fatcat:aw5b6or2orat7cvpllpdfjeghy

Sketching NLP

Qian Yang, Justin Cranshaw, Saleema Amershi, Shamsi T. Iqbal, Jaime Teevan
2019 Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19  
This paper investigates how to sketch NLP-powered user experiences. Sketching is a cornerstone of design innovation.  ...  When sketching designers rapidly experiment with a number of abstract ideas using simple, tangible instruments such as drawings and paper prototypes.  ...  Second, ML-powered UX adapts to diferent users and contexts, evolves over time, and can make bizarre errors that are hard to anticipate.  ... 
doi:10.1145/3290605.3300415 dblp:conf/chi/YangCAIT19 fatcat:jqvwiwg7nrc67hg7ipjndn43xq

Building an Evaluation Scale using Item Response Theory

John Lalor, Hao Wu, hong yu
2016 Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing  
By collecting a large number of human responses and fitting our IRT model, we show that our IRT model compares NLP systems with the performance in a human population and is able to provide more insight  ...  NLP task.  ...  This work was also supported in part by the Center for Intelligent Information Retrieval. The contents of this paper do not represent the views of CIIR, NIH, VA, or the United States Government  ... 
doi:10.18653/v1/d16-1062 dblp:conf/emnlp/LalorWY16 fatcat:b3ee2x2g4ve5bjj7lxine454im

Natural Language Processing: A Human-Computer Interaction Perspective [chapter]

Bill Manaris
1998 Advances in Computers  
spoken or typewritten, it may effectively complement other available modalities, 1 such as windows, icons, and menus, and pointing; in some cases, such as in users with disabilities, natural language  ...  Keywords: natural language processing, human-computer interaction, speech recognition, speech understanding, natural language widgets, multimodal user interfaces, user interface development, user interface  ...  Dasgupta, Anthony Maida, Renée McCauley, and Brian Slator for their invaluable comments and suggestions; Brian Slator is acknowledged for his contribution to an early outline -especially on the phases of NLP  ... 
doi:10.1016/s0065-2458(08)60665-8 fatcat:qkvovunv6bdqrn4wwuutmtwd6m

Building an Evaluation Scale using Item Response Theory [article]

John P. Lalor, Hao Wu, Hong Yu
2016 arXiv   pre-print
By collecting a large number of human responses and fitting our IRT model, we show that our IRT model compares NLP systems with the performance in a human population and is able to provide more insight  ...  an NLP task.  ...  This work was also supported in part by the Center for Intelligent Information Retrieval. The contents of this paper do not represent the views of CIIR, NIH, VA, or the United States Government  ... 
arXiv:1605.08889v2 fatcat:b63qbxlh7jfg5bviadagin6ciy

Human-Computer Interaction in Digital Mental Health

Luke Balcombe, Diego De Leo
2022 Informatics  
Human-computer interaction (HCI) has contributed to the design and development of some efficient, user-friendly, cost-effective, and adaptable digital mental health solutions.  ...  Generally, there is a need for faster and better human factors in combination with machine interaction and automation, higher levels of effectiveness evaluation and the application of blended, hybrid or  ...  Human-centered AI (HAI) was suggested to counter HCI deficiencies-it is a user-centered HCI approach consisting of human factors design, ethically aligned design, and technology that covers human intelligence  ... 
doi:10.3390/informatics9010014 fatcat:2zva3cwrcjcq3irr3ra2nbxwhy

Biographical Data Exploration as a Test-bed for a Multi-view, Multi-method Approach in the Digital Humanities

André Blessing, Andrea Glaser, Jonas Kuhn
2015 Conference on Biographical Data in a Digital World  
Along with this, we argue that this expansion step has many characteristic properties of a typical methodological challenge in the Digital Humanities: resources and tools of different origin and with different  ...  The present paper has two purposes: the main point is to report on the transfer and extension of an NLP-based biographical data exploration system that was developed for Wikipedia data and is now applied  ...  We will also evaluate which additional factors are relevant for the acceptance of such a system. Figure 1 : 1 Figure 1: Overview of the NLP-based biographical data exploration system.  ... 
dblp:conf/bd/BlessingGK15 fatcat:vtthrmjimzfgrdedqgos377ezi
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