What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Social psychology
- Social science
Ana Paiva mostly deals with Artificial intelligence, Human–computer interaction, Robot, Empathy and Human–robot interaction.
Her study on Intelligent agent, Agent architecture and Autonomous agent is often connected to Term as part of broader study in Artificial intelligence.
Her Human–computer interaction research incorporates themes from Context, Affect, Architecture, Set and Feeling.
Social robot is the focus of her Robot research.
Her Empathy study combines topics in areas such as Qualitative research, Cognitive psychology and Multimedia.
Her Human–robot interaction research is multidisciplinary, relying on both Animation, Task, Facial expression, Computer vision and Robot kinematics.
Her most cited work include:
- Social Robots for Long-Term Interaction: A Survey (360 citations)
- Fearnot!: an experiment in emergent narrative (217 citations)
- Feeling and reasoning: a computational model for emotional characters (190 citations)
What are the main themes of her work throughout her whole career to date?
Her main research concerns Human–computer interaction, Robot, Artificial intelligence, Social robot and Human–robot interaction.
In her study, which falls under the umbrella issue of Human–computer interaction, Narrative is strongly linked to Multimedia.
The various areas that Ana Paiva examines in her Robot study include Cognitive psychology, Affect, Perception, TUTOR and Empathy.
As a part of the same scientific family, Ana Paiva mostly works in the field of Artificial intelligence, focusing on Cognitive science and, on occasion, Autonomous agent.
Her Social robot study incorporates themes from Social psychology, Creativity and Persuasion.
Social relation and Personality are the primary areas of interest in her Social psychology study.
She most often published in these fields:
- Human–computer interaction (37.52%)
- Robot (29.74%)
- Artificial intelligence (21.76%)
What were the highlights of her more recent work (between 2018-2021)?
- Robot (29.74%)
- Social robot (21.36%)
- Human–computer interaction (37.52%)
In recent papers she was focusing on the following fields of study:
Robot, Social robot, Human–computer interaction, Human–robot interaction and Cognitive psychology are her primary areas of study.
Her Robot study is concerned with the larger field of Artificial intelligence.
Her Social robot research integrates issues from Persuasion, Creativity, Storytelling, Social behavior and Personality.
Her Human–computer interaction research includes elements of Character animation, Motion, Animation, Representation and Task.
Her biological study spans a wide range of topics, including Social dilemma, Task analysis, Prosocial behavior, Autonomous robot and Competence.
The Set research Ana Paiva does as part of her general Cognitive psychology study is frequently linked to other disciplines of science, such as Perspective, therefore creating a link between diverse domains of science.
Between 2018 and 2021, her most popular works were:
- Empathic Robot for Group Learning: A Field Study (25 citations)
- Evolution of Collective Fairness in Hybrid Populations of Humans and Agents (18 citations)
- Exploring prosociality in human-robot teams (15 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Social psychology
- Social science
The scientist’s investigation covers issues in Robot, Social robot, Human–robot interaction, Human–computer interaction and Context.
Her research on Robot concerns the broader Artificial intelligence.
The concepts of her Artificial intelligence study are interwoven with issues in Function and Inverted pendulum.
Her work deals with themes such as Mathematics education, Applied psychology, Creativity and Storytelling, which intersect with Social robot.
The study incorporates disciplines such as Cognitive psychology, Affect, Entertainment industry, Collaborative learning and Autonomous robot in addition to Human–robot interaction.
Her work carried out in the field of Human–computer interaction brings together such families of science as Group intelligence, Field and Task, Task analysis.
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