ERICA: An Empathetic Android Companion for Covid-19 Quarantine
- URL: http://arxiv.org/abs/2106.02325v1
- Date: Fri, 4 Jun 2021 08:14:43 GMT
- Title: ERICA: An Empathetic Android Companion for Covid-19 Quarantine
- Authors: Etsuko Ishii, Genta Indra Winata, Samuel Cahyawijaya, Divesh Lala,
Tatsuya Kawahara, Pascale Fung
- Abstract summary: We introduce an end-to-end dialogue system which aims to ease the isolation of people under self-quarantine.
We conduct a control simulation experiment to assess the effects of the user interface, a web-based virtual agent called Nora vs. the android ERICA via a video call.
- Score: 63.79997830430368
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Over the past year, research in various domains, including Natural Language
Processing (NLP), has been accelerated to fight against the COVID-19 pandemic,
yet such research has just started on dialogue systems. In this paper, we
introduce an end-to-end dialogue system which aims to ease the isolation of
people under self-quarantine. We conduct a control simulation experiment to
assess the effects of the user interface, a web-based virtual agent called Nora
vs. the android ERICA via a video call. The experimental results show that the
android offers a more valuable user experience by giving the impression of
being more empathetic and engaging in the conversation due to its nonverbal
information, such as facial expressions and body gestures.
Related papers
- Personality-affected Emotion Generation in Dialog Systems [67.40609683389947]
We propose a new task, Personality-affected Emotion Generation, to generate emotion based on the personality given to the dialog system.
We analyze the challenges in this task, i.e., (1) heterogeneously integrating personality and emotional factors and (2) extracting multi-granularity emotional information in the dialog context.
Results suggest that by adopting our method, the emotion generation performance is improved by 13% in macro-F1 and 5% in weighted-F1 from the BERT-base model.
arXiv Detail & Related papers (2024-04-03T08:48:50Z) - Towards Embedding Dynamic Personas in Interactive Robots: Masquerading Animated Social Kinematics (MASK) [10.351714893090964]
This paper presents the design and development of an innovative interactive robotic system to enhance audience engagement using character-like personas.
Built upon the foundations of persona-driven dialog agents, this work extends the agent application to the physical realm, employing robots to provide a more immersive and interactive experience.
arXiv Detail & Related papers (2024-03-15T06:22:32Z) - Does Collaborative Human-LM Dialogue Generation Help Information
Extraction from Human Dialogues? [55.28340832822234]
Problem-solving human dialogues in real applications can be much more complex than existing Wizard-of-Oz collections.
We introduce a human-in-the-loop dialogue generation framework capable of synthesizing realistic dialogues.
arXiv Detail & Related papers (2023-07-13T20:02:50Z) - Think Twice: A Human-like Two-stage Conversational Agent for Emotional
Response Generation [16.831275847153606]
We propose a two-stage conversational agent for the generation of emotional dialogue.
First, a dialogue model trained without the emotion-annotated dialogue corpus generates a prototype response that meets the contextual semantics.
Secondly, the first-stage prototype is modified by a controllable emotion refiner with the empathy hypothesis.
arXiv Detail & Related papers (2023-01-12T10:03:56Z) - CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware
Dialog Generation [18.047064216849204]
We release a high-quality multi-turn Medical Dialog dataset relating to Covid-19 disease named CDialog.
We propose a novel neural medical dialog system based on the CDialog dataset to advance future research on developing automated medical dialog systems.
arXiv Detail & Related papers (2022-11-16T11:07:34Z) - CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset
for Conversational AI [48.67259855309959]
Most existing datasets for conversational AI ignore human personalities and emotions.
We propose CPED, a large-scale Chinese personalized and emotional dialogue dataset.
CPED contains more than 12K dialogues of 392 speakers from 40 TV shows.
arXiv Detail & Related papers (2022-05-29T17:45:12Z) - The Effects of Interactive AI Design on User Behavior: An Eye-tracking
Study of Fact-checking COVID-19 Claims [12.00747200817161]
We conducted a lab-based eye-tracking study to investigate how the interactivity of an AI-powered fact-checking system affects user interactions.
We found that the presence of interactively manipulating the AI system's prediction parameters affected users' dwell times, and eye-fixations on AOIs, but not mental workload.
arXiv Detail & Related papers (2022-02-17T21:08:57Z) - Let's be friends! A rapport-building 3D embodied conversational agent
for the Human Support Robot [0.0]
Partial subtle mirroring of nonverbal behaviors during conversations (also known as mimicking or parallel empathy) is essential for rapport building.
Our research question is whether integrating an ECA able to mirror its interlocutor's facial expressions and head movements with a human-service robot will improve the user's experience.
Our contribution is the complex integration of an expressive ECA, able to track its interlocutor's face, and to mirror his/her facial expressions and head movements in real time, integrated with a human support robot.
arXiv Detail & Related papers (2021-03-08T01:02:41Z) - Joint Mind Modeling for Explanation Generation in Complex Human-Robot
Collaborative Tasks [83.37025218216888]
We propose a novel explainable AI (XAI) framework for achieving human-like communication in human-robot collaborations.
The robot builds a hierarchical mind model of the human user and generates explanations of its own mind as a form of communications.
Results show that the generated explanations of our approach significantly improves the collaboration performance and user perception of the robot.
arXiv Detail & Related papers (2020-07-24T23:35:03Z) - Towards Persona-Based Empathetic Conversational Models [58.65492299237112]
Empathetic conversational models have been shown to improve user satisfaction and task outcomes in numerous domains.
In Psychology, persona has been shown to be highly correlated to personality, which in turn influences empathy.
We propose a new task towards persona-based empathetic conversations and present the first empirical study on the impact of persona on empathetic responding.
arXiv Detail & Related papers (2020-04-26T08:51:01Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.