Emmanuel Senft
Biographic Data
| ID | 5118129 |
|---|---|
| NAME | Emmanuel Senft |
| GIVEN NAMES | Emmanuel |
| FAMILY NAME | Senft |
| SIGNATURE | SENFT E |
| AFFILIATIONS | Idiap Research Institute |
| ORCID | 0000-0001-7160-4352 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 45 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Human-Interactive Robot Learning
Robot learning from humans has been proposed and researched for several decades as a means to enable robots to learn new skills or adapt existing ones to new situations. Recent advances in AI, including learning approaches like reinforcement learning and architectures like transformers and foundation models, combined with access to massive datasets, have created attractive opportunities to apply those data-hungry techniques to this problem. We ar…
Introduction to the Special Issue on Artificial Intelligence for Human–Robot Interaction (AI-HRI)
Social Assistive Robots
Socially contingent humanoid robot head behaviour results in increased charity donations
The role of robot social behaviour in changing people's behaviour is an interesting and yet still open question, with the general assumption that social behaviour is beneficial. In this study, we examine the effect of socially contingent robot behaviours on a charity collection task. Manipulating only behavioural cues (maintaining the same verbal content), we show that when the robot exhibits contingent behaviours consistent with those observable…
Social robot tutoring for child second language learning
An increasing amount of research is being conducted to determine how a robot tutor should behave socially in educational interactions with children. Both human-human and human-robot interaction literature predicts an increase in learning with increased social availability of a tutor, where social availability has verbal and nonverbal components. Prior work has shown that greater availability in the nonverbal behaviour of a robot tutor has a posit…
From characterising three years of HRI to methodology and reporting recommendations
Human-Robot Interaction (HRI) research requires the integration and cooperation of multiple disciplines, technical and social, in order to make progress. In many cases using different motivations, each of these disciplines bring with them different assumptions and methodologies. We assess recent trends in the field of HRI by examining publications in the HRI conference over the past three years (over 100 full papers), and characterise them accord…
Social robot tutoring for child second language learning
An increasing amount of research is being conducted to determine how a robot tutor should behave socially in educational interactions with children. Both human-human and human-robot interaction literature predicts an increase in learning with increased social availability of a tutor, where social availability has verbal and nonverbal components. Prior work has shown that greater availability in the nonverbal behaviour of a robot tutor has a posit…
From characterising three years of HRI to methodology and reporting recommendations
Human-Robot Interaction (HRI) research requires the integration and cooperation of multiple disciplines, technical and social, in order to make progress. In many cases using different motivations, each of these disciplines bring with them different assumptions and methodologies. We assess recent trends in the field of HRI by examining publications in the HRI conference over the past three years (over 100 full papers), and characterise them accord…
Socially contingent humanoid robot head behaviour results in increased charity donations
The role of robot social behaviour in changing people's behaviour is an interesting and yet still open question, with the general assumption that social behaviour is beneficial. In this study, we examine the effect of socially contingent robot behaviours on a charity collection task. Manipulating only behavioural cues (maintaining the same verbal content), we show that when the robot exhibits contingent behaviours consistent with those observable…
Socially contingent humanoid robot head behaviour results in increased charity donations
The role of robot social behaviour in changing people's behaviour is an interesting and yet still open question, with the general assumption that social behaviour is beneficial. In this study, we examine the effect of socially contingent robot behaviours on a charity collection task. Manipulating only behavioural cues (maintaining the same verbal content), we show that when the robot exhibits contingent behaviours consistent with those observable…
Social robot tutoring for child second language learning
An increasing amount of research is being conducted to determine how a robot tutor should behave socially in educational interactions with children. Both human-human and human-robot interaction literature predicts an increase in learning with increased social availability of a tutor, where social availability has verbal and nonverbal components. Prior work has shown that greater availability in the nonverbal behaviour of a robot tutor has a posit…
From characterising three years of HRI to methodology and reporting recommendations
Human-Robot Interaction (HRI) research requires the integration and cooperation of multiple disciplines, technical and social, in order to make progress. In many cases using different motivations, each of these disciplines bring with them different assumptions and methodologies. We assess recent trends in the field of HRI by examining publications in the HRI conference over the past three years (over 100 full papers), and characterise them accord…
Social Assistive Robots
Introduction to the Special Issue on Artificial Intelligence for Human–Robot Interaction (AI-HRI)
Human-Interactive Robot Learning
Robot learning from humans has been proposed and researched for several decades as a means to enable robots to learn new skills or adapt existing ones to new situations. Recent advances in AI, including learning approaches like reinforcement learning and architectures like transformers and foundation models, combined with access to massive datasets, have created attractive opportunities to apply those data-hungry techniques to this problem. We ar…
Computer Science (5 works) · Robot (5 works) · Artificial Intelligence (4 works) · Social Robot Interaction and HRI (4 works) · AI in Service Interactions (3 works) · Human–robot interaction (3 works) · Psychology (3 works) · Mobile robot (2 works) · Robot control (2 works) · Social robot (2 works)