Emotion encoding in Human-Drone Interaction

Dados Bibliográficos

ID8112752
AutoresJessica R Cauchard (0000-0002-8916-8787, autor correspondente), Kevin Y Zhai, Marco Spadafora (0000-0002-6586-4577), James A Landay (0000-0003-1520-8894)
Ano2016
Páginas263-270
Data de publicação2016-03-01
Open AccessNão
TipoARTICLE
Periódico2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI (CONFERENCE)
EditoraIEEE (PUBLISHER)
DOI10.1109/hri.2016.7451761
OpenAlexW4230512814
ISBN9781467383707
IdiomaEN
Citações recebidas12
Referências citadas26

Drones are becoming more popular and may soon be ubiquitous. As they enter our everyday environments, it becomes critical to ensure their usability through natural Human-Drone Interaction (HDI). Previous work in Human-Robot Interaction (HRI) shows that adding an emotional component is part of the key to success in robots' acceptability. We believe the adoption of personal drones would also benefit from adding an emotional component. This work defines a range of personality traits and emotional attributes that can be encoded in drones through their flight paths. We present a user study (N=20) and show how well three defined emotional states can be recognized. We draw conclusions on interaction techniques with drones and feedback strategies that use the drone's flight path and speed

Component (thermodynamics · Computer security · Drone · Encoding (memory · Geography · Human–computer interaction · Human–robot interaction · Key (lock · Natural (archaeology · Robot · Usability · AI in Service Interactions · Computer Science · Emotions and Moral Behavior · Social Robot Interaction and HRI · Artificial Intelligence