English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper, we introduce a novel conceptual model for a robot's behavioraladaptation in its long-term interaction with humans, integrating dynamic robotrole adaptation with principles of flow experience from psychology. Thisconceptualization introduces a hierarchical interaction objective grounded inthe flow experience, serving as the overarching adaptation goal for the robot.This objective intertwines both cognitive and affective sub-objectives andincorporates individual and group-level human factors. The dynamic roleadaptation approach is a cornerstone of our model, highlighting the robot'sability to fluidly adapt its support roles - from leader to follower - with theaim of maintaining equilibrium between activity challenge and user skill,thereby fostering the user's optimal flow experiences. Moreover, this workdelves into a comprehensive exploration of the limitations and potentialapplications of our proposed conceptualization. Our model places a particularemphasis on the multi-person HRI paradigm, a dimension of HRI that is bothunder-explored and challenging. In doing so, we aspire to extend theapplicability and relevance of our conceptualization within the HRI field,contributing to the future development of adaptive social robots capable ofsustaining long-term interactions with humans.

cornell university

Integrating Flow Theory and Adaptive Robot Roles: A Conceptual Model of  Dynamic Robot Role Adaptation for the Enhanced Flow Experience in Long-term  Multi-person Human-Robot Interactions