AIMC Topic: Interpersonal Relations

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Improving the closing sequences of interaction between human and robot through conversation analysis.

Scientific reports
This study employs Conversation Analysis to create a recursive model that improves the quality of human-robot interaction. Our research goal is to create a dialogue robot that offers pleasant experiences for users, so they are willing to engage in re...

Subjective well-being of children with special educational needs: Longitudinal predictors using machine learning.

Applied psychology. Health and well-being
Children with special educational needs (SEN) are a diverse group facing numerous challenges related to well-being and mental health. Understanding the predictors of well-being in this population requires the incorporation of diverse factors along wi...

Two-Stream Modality-Based Deep Learning Approach for Enhanced Two-Person Human Interaction Recognition in Videos.

Sensors (Basel, Switzerland)
Human interaction recognition (HIR) between two people in videos is a critical field in computer vision and pattern recognition, aimed at identifying and understanding human interaction and actions for applications such as healthcare, surveillance, a...

Improving the Social Well-Being of Single Older Adults Using the LOVOT Social Robot: Qualitative Phenomenological Study.

JMIR human factors
BACKGROUND: This study examined the social well-being of single older adults through the companionship of a social robot, LOVOT (Love+Robot; Groove X). It is designed as a companion for older adults, providing love and affection through verbal and ph...

The Machine Speaks: Conversational AI and the Importance of Effort to Relationships of Meaning.

JMIR mental health
The focus of debates about conversational artificial intelligence (CAI) has largely been on social and ethical concerns that arise when we speak to machines-what is gained and what is lost when we replace our human interlocutors, including our human ...

The Importance of Being Consistent: Attribution of Mental States in Strategic Human-Robot Interactions.

Cyberpsychology, behavior and social networking
This article investigates the attribution of mental state (AMS) to an anthropomorphic robot by humans in a strategic interaction. We conducted an experiment in which human subjects are paired with either a human or an anthropomorphic robot to play an...

Making robots matter in dementia care: Conceptualising the triadic interaction between caregiver, resident and robot animal.

Sociology of health & illness
While previous research studies have focused on either caregivers' or residents' perception and use of social robots, this article offers an empirical and theoretical examination of joint activities in triadic human-robot interaction. The symptomatol...

Impaired perception of a partner's synchronizing behavior reduces positive attitude toward humanoid robot in schizophrenia patients.

Schizophrenia research
As interpersonal synchrony plays a key role in building rapport, the perception of another agent's synchronizing behavior could be an important feature to assess, especially with patients with social deficits such as in schizophrenia. Twenty-four sch...

From multimodal features to behavioural inferences: A pipeline to model engagement in human-robot interactions.

PloS one
Modelling the engaging behaviour of humans using multimodal data collected during human-robot interactions has attracted much research interest. Most methods that have been proposed previously predict engaging behaviour directly from multimodal featu...

Cultural differences in joint attention and engagement in mutual gaze with a robot face.

Scientific reports
Joint attention is a pivotal mechanism underlying human ability to interact with one another. The fundamental nature of joint attention in the context of social cognition has led researchers to develop tasks that address this mechanism and operationa...