Implementing social and affective touch to enhance user experience in human-robot interaction

Area of Science:

• Human-Robot Interaction
• Haptics and Affective Computing
• Prosthetics and Assistive Technologies

Background:

• Traditional haptic feedback in human-robot interaction (HRI) focuses on discriminative information for functional tasks.
• This approach often overlooks the crucial role of affective (emotional) touch in social interactions.
• Upper-limb prosthetics serve as a prime example where social tactile needs are significant.

Purpose of the Study:

• To investigate the contribution of affective touch to user experience and robot performance in HRI.
• To advocate for a human needs-centered approach that equally emphasizes affective haptic feedback.
• To explore the potential of affective touch in fostering trust and enhancing the acceptance of prosthetic limbs.

Main Methods:

• Literature review and conceptual discussion on affective touch in HRI.
• Analysis of emotional dimensions and conveyance of distinct emotions through touch.
• Proposal of a human needs-centered design framework for affective haptic feedback.

Main Results:

• Affective touch can significantly enhance user experience and robot performance by addressing social tactile needs.
• Integrating affective feedback, particularly in prosthetic limbs, can foster user trust and improve acceptance.
• Real-time trust analysis can enable adaptive shared autonomy strategies.

Conclusions:

• A balanced approach in HRI design is needed, equally valuing functional and affective haptic feedback.
• Affective touch interfaces are crucial for meeting the social and emotional needs of human agents interacting with robotic systems.
• Practical design considerations and multi-sensory approaches are key for implementing effective affective touch interfaces in prosthetics and other HRI applications.