DeepAI AI Chat
Log In Sign Up

Communicating Complex Decisions in Robot-Assisted Therapy

by   Carl Bettosi, et al.
Heriot-Watt University

Socially Assistive Robots (SARs) have shown promising potential in therapeutic scenarios as decision-making instructors or motivational companions. In human-human therapy, experts often communicate the thought process behind the decisions they make to promote transparency and build trust. As research aims to incorporate more complex decision-making models into these robots to drive better interaction, the ability for the SAR to explain its decisions becomes an increasing challenge. We present the latest examples of complex SAR decision-makers. We argue that, based on the importance of transparent communication in human-human therapy, SARs should incorporate such components into their design. To stimulate discussion around this topic, we present a set of design considerations for researchers.


page 1

page 2

page 3

page 4


Arguing for Decisions: A Qualitative Model of Decision Making

We develop a qualitative model of decision making with two aims: to desc...

Addressing Potential Pitfalls of SAR Assistance on the Aging Population

In the field of Human Robot Interaction (HRI), socially assistive robots...

Knowing Who Knows What: Designing Socially Assistive Robots with Transactive Memory System

Transactive Memory System (TMS) is a group theory that describes how com...

Thermal Feedback for Transparency in Human-Robot Interaction

Robots can support humans in tedious tasks, as well as provide social su...

Avoiding Improper Treatment of Persons with Dementia by Care Robots

The phrase "most cruel and revolting crimes" has been used to describe s...