Home // CENTRIC 2021, The Fourteenth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services // View article

Supporting Observability through Social Cues

Authors:
Natalie Friedman
Patricia McDermott
Jeff Stanley

Keywords: observability; social cues; personality; human-robot interaction; human-computer interaction; trust; predictability

Abstract:
For improved acceptance of robots in social spaces, it is important to have a strong mental model of what the robot can do, what the robot is currently doing, or what the robot is about to do. How do social cues help people understand what is going on 'under the hood’? Imagine this: a machine perks up if someone enters the room. This lets you know it is socially aware, awake, and ready to interact. Drawing from a pre-existing taxonomy of social cues for conversational agents, we reviewed 40 papers with instances of robot or software agent personality traits influencing observability. This survey led us to elaborate on six particular cues, clarify their relationship to observability and provide examples, with the intent to advance discussion and encourage research on the relationship between social cues and observability.

Pages: 6 to 11

Copyright: Copyright (c) IARIA, 2021

Publication date: October 3, 2021

Published in: conference

ISSN: 2308-3492

ISBN: 978-1-61208-896-9

Location: Barcelona, Spain

Dates: from October 3, 2021 to October 7, 2021