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Neural Response Generation for Customer Service based on Personality Traits

Jonathan Herzig, Michal Shmueli-Scheuer, Tommy Sandbank, David Konopnicki
2017 Proceedings of the 10th International Conference on Natural Language Generation  
We present a neural response generation model that generates responses conditioned on a target personality.  ...  The model learns high level features based on the target personality, and uses them to update its hidden state.  ...  In this paper we study how to encode personality traits as part of neural response generation for conversational agents.  ... 
doi:10.18653/v1/w17-3541 dblp:conf/inlg/HerzigSSK17 fatcat:27eipcu2f5drzptgasj5pkheui

Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation [article]

Charl Maree, Christian W. Omlin
2021 arXiv   pre-print
including the potential for improved personalization in financial services.  ...  Where traditional segmentation classifies customers based on coarse features such as demographics, micro-segmentation depicts more nuanced differences between individuals, bringing forth several advantages  ...  ACKNOWLEDGMENTS We are grateful for fruitful discussions with Joe Gladstone on the topic of personality traits and the determination of their corresponding coefficients and with Peter Tino, Andrea Ceni  ... 
arXiv:2109.11871v2 fatcat:wnhgxxw27nfa3fcku3te3boopm

A Voice Interactive Multilingual Student Support System using IBM Watson [article]

Kennedy Ralston, Yuhao Chen, Haruna Isah, Farhana Zulkernine
2019 arXiv   pre-print
The chatbot was evaluated using a use case that was targeted at responding to users needs regarding exam stress based on university students survey data generated using Google Forms.  ...  The chatbot could also be adapted for use in other application areas such as student info-centers, government kiosks, and mental health support systems.  ...  IBM Watson offers two services, Tone Analyzer and Personality Insights, which allow for such prediction based on the analysis of users' text-based responses with a chatbot.  ... 
arXiv:2001.00471v1 fatcat:loggq5qv6bdurjkkq37532e75y

Jewelry Shop Conversational Chatbot [article]

Safa Zaid, Aswah Malik, Kisa Fatima
2022 arXiv   pre-print
On the contrary, generative chatbots try to create the most appropriate response, but are mostly unable to create a smooth flow in the customer-bot dialog.  ...  Since the advent of chatbots in the commercial sector, they have been widely employed in the customer service department.  ...  However, it often shows inconsistent responses and personality traits in long conversations.  ... 
arXiv:2206.04659v1 fatcat:bulnmunnh5a3bcz7ejtxyjhvje

Marketing Research of Motorcycle Industry in Taiwan—Personality Traits as Confounding Variable

Chien Chung Lee
2016 International Journal of Business and Management  
</p><p>Thirdly, one major factor to influence purchasing decision for neutral try-out-new-things personality traits is that customers of this type expect up-to-date electronic locks can be bundled in for  ...  Weaker try-out-new-things personality traits accounted for 15.22%, neutral try-out-new-things personality traits accounted 31.88% and stronger try-out-new-things personality traits accounted for 52.90%  ...  Offer Customization Service to Various Types of Customer A customer with stronger try-out-new-things personality traits generally expects sales staff providing a higher quality of service.  ... 
doi:10.5539/ijbm.v11n3p105 fatcat:6nhjatu6nba5patlsjwburrwra

Automatic Evaluation of Neural Personality-based Chatbots [article]

Yujie Xing, Raquel Fernández
2018 arXiv   pre-print
In this paper, we focus on sequence-to-sequence models for open-domain dialogue response generation and propose a new method to evaluate the extent to which such models are able to generate responses that  ...  reflect different personality traits.  ...  Evaluation Method We propose a new evaluation method to measure whether persona-based neural dialogue generation models are able to produce responses with distinguishable personality traits for different  ... 
arXiv:1810.00472v1 fatcat:7ojrmprpqrfdnbvlqtthhmpfjq

Argumentation system for intelligent assistants using fuzzy-based reasoning

T. Koivuaho, M. Ibrahim, F. Ummul, M. Oussalah
2018 Data Science and Knowledge Engineering for Sensing Decision Support  
A sequence-tosequence recurrent neural network approach was used to learn answer prototypes from sport corpus, while an ANFIS based approach was developed to extrapolate from the limited configurations  ...  used by the neural network to various dialogue utterances.  ...  Beam search is used for getting best 10 outputs of the neural net instead of one, provided the outputs are sufficiently reliable, up to a threshold level on average classification accuracy obtained on  ... 
doi:10.1142/9789813273238_0078 fatcat:lm2j4h2yhjcfvaghkrldsuvdxq

A personality based adaptive approach for information systems

Nicola Capuano, Giuseppe D'Aniello, Angelo Gaeta, Sergio Miranda
2015 Computers in Human Behavior  
It is what we may face by getting personality traits of the users.  ...  We defined a complete model to realize an adaptive system that may interoperate with information systems and that is able to instantiate for all the users the processes and the interfaces able to give  ...  It may happen at different levels and unquestionably lead customers to benefits since the increasing demand for Customer-Centric services started with the growing interest in personalization (Kinsgstone  ... 
doi:10.1016/j.chb.2014.10.058 fatcat:loykkcj5m5f2vlddtohn3m7ksy

Automatic Evaluation of Neural Personality-based Chatbots

Yujie Xing, Raquel Fernández
2018 Proceedings of the 11th International Conference on Natural Language Generation  
In this paper, we focus on sequence-to-sequence models for open-domain dialogue response generation and propose a new method to evaluate the extent to which such models are able to generate responses that  ...  reflect different personality traits.  ...  Acknowledgements RF kindly acknowledges funding by the Netherlands Organisation for Scientific Research (NWO), under VIDI grant 276-89-008, Asymmetry in Conversation.  ... 
doi:10.18653/v1/w18-6524 dblp:conf/inlg/XingF18 fatcat:uxg6mlovfbcgpnt55uorze2uli

Chatbot for Monitoring Mental Health and Personality Trait Identification

The traits of the person are identified from the chat logs. A RNN (Recurrent Neural Network) is built to identify the trait of the person from the pre-defined 16 types of personality traits.  ...  The second module is the sentiment analysis which is used in identifying the emotions of a person. The sentiment score is generated for the users.  ...  ACKNOWLEDGMENT The authors wish to thank the Management and Principal of Mepco Schlenk Engineering College, for their support in carrying out this research work.  ... 
doi:10.35940/ijitee.h7160.078919 fatcat:zldi5lojxjhgrawqfsflekxqrm

Exploring the frontiers in reality-enhanced service communication: from augmented and virtual reality to neuro-enhanced reality

Tim Hilken, Mathew Chylinski, Ko de Ruyter, Jonas Heller, Debbie Isobel Keeling
2022 Journal of Service Management  
based on digital content).  ...  PurposeThe authors explore neuro-enhanced reality (NeR) as a novel approach for enhancing service communication between customers, frontline employees, and service organizations that extends beyond current  ...  First, while neuromarketing research focuses on understanding customer reactions to marketing stimuli (e.g. brain responses to viewing certain products; Pozharliev et al., 2015) , NeR is focused on generating  ... 
doi:10.1108/josm-11-2021-0439 fatcat:gbizqaasfvgz5gxxmscwxh5hfm

Implementation of Affective Knowledge for any Geo Location Based on Emotional Intelligence using GPS

This proposed work provides web service, where the user has to enable the geo location of the mobile device, based on the geolocation questionnaire will be asked to the customer randomly.  ...  These Emotional Intelligence service will provide information to the new user; based on the ranking provided by the existing user, based on affective and factual knowledge  ...  From the Graph generated by the proposed work which provides the information about the particular location based on answer provide by the customer.  ... 
doi:10.35940/ijitee.k1134.09811s19 fatcat:4isua4sfnjdurf43uwye73duji

Biometric Systems De-Identification: Current Advancements and Future Directions

Md Shopon, Sanjida Nasreen Tumpa, Yajurv Bhatia, K. N. Pavan Kumar, Marina L. Gavrilova
2021 Journal of Cybersecurity and Privacy  
An overview of biometric de-identification in emerging domains such as sensor-based biometrics, social behavioral biometrics, psychological user profile identification, and aesthetic-based biometrics is  ...  The article concludes with open questions and provides a rich avenue for subsequent explorations of biometric de-identification in the context of information privacy.  ...  For instance, movies and/or video games that change the narrative based on the user's emotional responses can be created.  ... 
doi:10.3390/jcp1030024 fatcat:fzrdvbpyeja67km2xjac36s4da

Positivity Bias in Customer Satisfaction Ratings

Kunwoo Park, Meeyoung Cha, Eunhee Rhim
2018 Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18  
The data analytics presented in this paper not only have practical implications for helping detect dissatisfied customers on live chat services but also make theoretical contributions on discovering the  ...  Customer ratings are valuable sources to understand their satisfaction and are critical for designing better customer experiences and recommendations.  ...  We also want to acknowledge the human coders for their contributions on manual annotations. This research was in part supported by the Next-Generation  ... 
doi:10.1145/3184558.3186579 dblp:conf/www/ParkCR18 fatcat:b6r7t2y7arhalal6gwwutb3vz4

In Machines We Trust: Are Robo-Advisers More Trustworthy Than Human Financial Advisers?

Hui Xian Chia
2019 Law, Technology and Humans  
This paper argues that greater explainability can be achieved by describing the 'personality' of deep learning robo-advisers, and further proposes a framework for describing the parameters of the deep  ...  This article will focus on the unique risks posed by deep learning technology.  ...  This paper situates disclosing a deep NN agent's 'personality traits' as another potential method for proposing a meaningful framework for understanding neural network technology, without needing to crack  ... 
doi:10.5204/lthj.v1i0.1261 fatcat:b227w4qv25hifjeqihggx4pyfq
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