Fetching the paper…
Reading the bibliography…
The rise of AI conversational agents has broadened opportunities to enhance human capabilities across various domains.
A. M. Turing, “Computing machinery and intelligence,” Mind , vol. 59, no. 236, pp. 433–460, 1950
1950
Earlier work this paper cites.
I. Asimov, I, Robot . Gnome Press, 1950
1950
Earlier work this paper cites.
J. Weizenbaum, “Eliza—a computer program for the study of natural language communication between man and machine,” Communications of the ACM , vol. 9, no. 1, pp. 36–45, 1966
1966
Earlier work this paper cites.
J. R. Searle, “Minds, brains, and programs,” Behavioral and Brain Sciences , vol. 3, no. 3, pp. 417–424, 1980
1980
Earlier work this paper cites.
D. Tannen, “Conversational style,” Psycholinguistic models of production , pp. 251–267, 1987
1987
Earlier work this paper cites.
N. R. Richendoller and J. B. Weaver III, “Exploring the links between personality and empathic response style,” Personality and individual Differences , vol. 17, no. 3, pp. 303–311, 1994
1994
Earlier work this paper cites.
R. M. Bagby, J. D. Parker, and G. J. Taylor, “The twenty-item toronto alexithymia scale—i. item selection and cross-validation of the factor structure,” Journal of Psychosomatic Research , vol. 38, no. 1, pp. 23–32, 1994
1994
Earlier work this paper cites.
R. W. Picard, Affective Computing . The MIT Press, 1997
1997
Earlier work this paper cites.
J. J. Gross and O. P. John, “Individual differences in two emotion regulation processes: Implications for affect, relationships, and well-being,” Journal of Personality and Social Psychology , vol. 85, no. 2, pp. 348–362, 2003
2003
Earlier work this paper cites.
S. Brave, C. Nass, and K. Hutchinson, “Computers that care: investigating the effects of orientation of emotion exhibited by an embodied computer agent,” International journal of human-computer studies , vol. 62, no. 2, pp. 161–178, 2005
2005
Earlier work this paper cites.
T. Bickmore and R. W. Picard, “Establishing and maintaining long-term human-computer relationships,” in ACM Transactions on Computer-Human Interaction (TOCHI) , vol. 12, no. 2. ACM, 2005, pp. 293–327
2005
Earlier work this paper cites.
B. Rammstedt and O. P. John, “Measuring personality in one minute or less: A 10-item short version of the big five inventory in english and german,” Journal of Research in Personality , vol. 41, no. 1, pp. 203–212, 2007
2007
Earlier work this paper cites.
S. Marsella, J. Gratch, P. Petta et al. , “Computational models of emotion,” A Blueprint for Affective Computing-A sourcebook and manual , vol. 11, no. 1, pp. 21–46, 2010
2010
Earlier work this paper cites.
I. Leite, A. Pereira, G. Castellano, S. Mascarenhas, C. Martinho, and A. Paiva, “Modelling empathy in social robotic companions,” in Proceedings of the 19th International Conference on Advances in User Modeling , ser. UMAP’11. Berlin, Heidelberg: Springer-Verlag, 2011, p. 135–147
2011
Earlier work this paper cites.
M. R. Leary and A. B. Allen, “Personality and persona: Personality processes in self-presentation,” Journal of personality , vol. 79, no. 6, pp. 1191–1218, 2011
2011
Earlier work this paper cites.
I. Leite, C. Martinho, and A. Paiva, “Social robots for long-term interaction: a survey,” in International conference on social robotics . Springer, 2013, pp. 291–301
2013
Earlier work this paper cites.
I. Leite, G. Castellano, A. Pereira, C. Martinho, and A. Paiva, “Empathic robots for long-term interaction,” in International Conference on Social Robotics . Springer, 2014, pp. 285–294
2014
Earlier work this paper cites.
L.-F. Rodríguez and F. Ramos, “Development of computational models of emotions for autonomous agents: a review,” Cognitive Computation , vol. 6, pp. 351–375, 2014
2014
Earlier work this paper cites.
P. Costa, R. Alves, I. Neto, P. Marvao, M. Portela, and M. J. Costa, “Associations between medical student empathy and personality: a multi-institutional study,” PloS one , vol. 9, no. 3, p. e89254, 2014
2014
Cited alongside, same era.
N. Bostrom, Superintelligence: Paths, dangers, strategies . Oxford University Press, 2014
2014
Cited alongside, same era.
R. Cowie, Ethical issues in affective computing . Oxford University Press, 2015, pp. 334–348
2015
Cited alongside, same era.
O. C. Santos, “Emotions and personality in adaptive e-learning systems: an affective computing perspective,” Emotions and personality in personalized services: Models, evaluation and applications , pp. 263–285, 2016
2016
Cited alongside, same era.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez et al. , “Attention is all you need,” in Advances in Neural Information Processing Systems , 2017, pp. 5998–6008
L. Zhou, J. Gao, D. Li, and H.-Y. Shum, “The design and implementation of xiaoice, an empathetic social chatbot,” Computational Linguistics , vol. 46, no. 1, pp. 53–93, 2020
2020
Later among the works it cites.
P. Thomas, D. McDuff, M. Czerwinski, and N. Craswell, “Expressions of style in information seeking conversation with an agent,” in Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval , 2020, pp. 1171–1180
2020
Later among the works it cites.
A. Welivita, Y. Xie, and P. Pu, “A large-scale dataset for empathetic response generation,” in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , 2021, pp. 1251–1264
2021
Later among the works it cites.
A. Osta, A. I. Kokkinaki, and C. Chedrawi, “Online health communities: The impact of ai conversational agents on users,” in European, Mediterranean and Middle Eastern Conference on Information Systems , 2021
2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2017
Cited alongside, same era.
A. Paiva, I. Leite, H. Boukricha, and I. Wachsmuth, “Empathy in virtual agents and robots: A survey,” ACM Transactions on Interactive Intelligent Systems (TiiS) , vol. 7, no. 3, pp. 1–40, 2017
2017
Cited alongside, same era.
M. Hutson, “Artificial intelligence faces reproducibility crisis.” Science (New York, NY) , vol. 359, no. 6377, p. 725, 2018
2018
Cited alongside, same era.
2018
Cited alongside, same era.
P. Thomas, M. Czerwinski, D. McDuff, N. Craswell, and G. Mark, “Style and alignment in information-seeking conversation,” in Proceedings of the 2018 Conference on Human Information Interaction & Retrieval , 2018, pp. 42–51
2018
Cited alongside, same era.
J. James, C. I. Watson, and B. MacDonald, “Artificial empathy in social robots: An analysis of emotions in speech,” in 2018 27th IEEE International symposium on robot and human interactive communication (RO-MAN) . IEEE, 2018, pp. 632–637
2018
Cited alongside, same era.
2018
Cited alongside, same era.
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, and I. Sutskever, “Language models are unsupervised multitask learners,” OpenAI Blog , vol. 1, no. 8, p. 9, 2019
2019
Cited alongside, same era.
A. Sharma, I. W. Lin, A. S. Miner, D. C. Atkins, and T. Althoff, “Towards facilitating empathic conversations in online mental health support: A reinforcement learning approach,” in Proceedings of the Web Conference 2021 , 2021, pp. 194–205
2021
Later among the works it cites.
K. Chawla, R. Clever, J. Ramirez, G. M. Lucas, and J. Gratch, “Towards emotion-aware agents for negotiation dialogues,” 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII) , pp. 1–8, 2021
2021
Later among the works it cites.
H. C. van Cuylenburg and T. N. D. S. Ginige, “Emotion guru: A smart emotion tracking application with ai conversational agent for exploring and preventing depression,” 2021 International Conference on UK-China Emerging Technologies (UCET) , pp. 1–6, 2021
2021
Later among the works it cites.
L. Stark and J. Hoey, “The ethics of emotion in artificial intelligence systems,” in Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency , ser. FAccT ’21. New York, NY, USA: Association for Computing Machinery, 2021, p. 782–793
2021
Later among the works it cites.
K. Seaborn, N. P. Miyake, P. Pennefather, and M. Otake-Matsuura, “Voice in human–agent interaction: a survey,” ACM Computing Surveys (CSUR) , vol. 54, no. 4, pp. 1–43, 2021
2021
Later among the works it cites.
J. Hernandez, J. Lovejoy, D. McDuff, J. Suh, T. O’Brien, A. Sethumadhavan, G. Greene, R. Picard, and M. Czerwinski, “Guidelines for assessing and minimizing risks of emotion recognition applications,” in 2021 IEEE 9th International Conference on Affective Computing and Intelligent Interaction (ACII) . IEEE, 2021
2021
Later among the works it cites.
L. Stark and J. Hoey, “The ethics of emotion in artificial intelligence systems,” in Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency , 2021, pp. 782–793
2021
Later among the works it cites.
D. Ong, “An ethical framework for guiding the development of affectively-aware artificial intelligence,” in 2021 IEEE 9th International Conference on Affective Computing and Intelligent Interaction (ACII) . IEEE, 2021
2021
Later among the works it cites.
L. Powell, M. Z. Nizam, R. Nour, Y. Zidoun, R. Sleibi, S. K. Warrier, H. A. Suwaidi, and N. Zary, “Conversational agents in health education: Protocol for a scoping review,” JMIR Research Protocols , vol. 11, 2022
2022
Later among the works it cites.
L. Martinengo, A. I. Jabir, W. I. W. T. Goh, N. Y. W. Lo, M. ho Ringo Ho, T. Kowatsch, R. A. Atun, S. Michie, and L. T. Car, “Conversational agents in health care: Scoping review of their behavior change techniques and underpinning theory,” Journal of Medical Internet Research , vol. 24, 2022
2022
Later among the works it cites.
S. Kusal, S. A. Patil, J. Choudrie, K. Kotecha, S. Mishra, and A. Abraham, “Ai-based conversational agents: A scoping review from technologies to future directions,” IEEE Access , vol. 10, pp. 92 337–92 356, 2022
2022
Later among the works it cites.
S. Bubeck, V. Chandrasekaran, R. Eldan, J. Gehrke, E. Horvitz, E. Kamar, P. Lee, Y. T. Lee, Y. Li, S. Lundberg, H. Nori, H. Palangi, M. T. Ribeiro, and Y. Zhang, “Sparks of artificial general intelligence: Early experiments with gpt-4,” 2023
2023
Closest in time.
OpenAI, “Gpt-4 technical report,” 2023
2023
Closest in time.