Both “look and feel” matter: Essential factors for robotic companionship

Hosseini, Seyedeh Maryam; Lettinga, Dylan; Vasey, Eric; Zheng, Zhi; Jeon, Myounghoon; Park, Chung Hyuk; Howard, Ayanna M.

doi:10.1109/roman.2017.8172294

Cited by 10 publications

(6 citation statements)

References 15 publications

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“…Robots designed specifically and exclusively to interact socially with humans for a prolonged period of time and to provide companionship (e.g., a study investigates attitudes towards the robots NAO and Darwin; [42]); or robots that are designed to help with domestic chores, as well as provide social interaction (e.g., a study investigating the evaluation of a socially assistive robot in a smart home setting; [43]); Education Robots Designed to assist educators with teaching and social interaction with students (e.g., a study investigating how students evaluate the use of NAO to teach English lessons; [44]). Healthcare Robots designed to help patients, doctors or healthcare providers (e.g., a study investigating the attitudes and preferences of staff, residents, and relatives of residents in a retirement village towards a health-care robot; [2]).…”

Section: Companion Robotics and Domestic Assistancementioning

confidence: 99%

“…This finding may, to a certain extent, be a product of the general tendency for social robots to be designed in such a way as to appear less threatening. For example, NAO, a generally well-liked robot [42,78,79], was used in 45% of the studies measuring anxiety and may have contributed to the overall neutral to positive valence for anxiety and trust.…”

Section: To What Extent Do People Accept Trust and Feel Anxious Towmentioning

confidence: 99%

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A Systematic Review of Attitudes, Anxiety, Acceptance, and Trust Towards Social Robots

Naneva

Gou

Webb

et al. 2020

Int J of Soc Robotics

226

116

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As social robots become more common, there is a need to understand how people perceive and interact with such technology. This systematic review seeks to estimate people's attitudes toward, trust in, anxiety associated with, and acceptance of social robots; as well as factors that are associated with these beliefs. Ninety-seven studies were identified with a combined sample of over 13,000 participants and a standardized score was computed for each in order to represent the valence (positive, negative, or neutral) and magnitude (on a scale from 1 to − 1) of people's beliefs about robots. Potential moderating factors such as the robots' domain of application and design, the type of exposure to the robot, and the characteristics of potential users were also investigated. The findings suggest that people generally have positive attitudes towards social robots and are willing to interact with them. This finding may challenge some of the existing doubt surrounding the adoption of robotics in social domains of application but more research is needed to fully understand the factors that influence attitudes. Keywords Attitudes toward technology • Social robots • Systematic review • Human-robot interaction Stanislava Naneva and Marina Sarda Gou have contributed equally to this work.

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Section: Companion Robotics and Domestic Assistancementioning

confidence: 99%

Section: To What Extent Do People Accept Trust and Feel Anxious Towmentioning

confidence: 99%

A Systematic Review of Attitudes, Anxiety, Acceptance, and Trust Towards Social Robots

Naneva

Gou

Webb

et al. 2020

Int J of Soc Robotics

226

116

View full text Add to dashboard Cite

show abstract

“…People showed a tendency to prefer interacting with robots similar to themselves in voice characteristics, including human-like speech style and accent, and gender (Eyssel et al, 2012). Hosseini et al (2017) emphasized the importance of anthropomorphism in both appearances and voice styles. Their study showed that only when the robot both looks human-like and speaks with emotional expressions, did participants perceive the robot as a social companion.…”

Section: Verbal Emotional Communicationsmentioning

confidence: 99%

Turning HART into HEART: Human Emotional AI/Robot Teaming

Jeon

2021

Proceedings of the Human Factors and Ergonomics Society Annual

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The advancement of technology requires a new teaming dynamic between humans and AI/robots. As emotions and affect are critical in forming human-human relationships, they are also expected to have a significant impact on human-AI/robot team dynamics. However, little research has been conducted on the effects of emotions on this relationship and team performance. In this perspective paper, I propose turning HART (human-AI/robot teaming) into HEART (human-emotional AI/robot teaming) and demonstrate its potential effects. To this end, existing frameworks on emotion research are introduced, followed by a brief literature survey on emotional AI/robot research and its potential applications to HART. Finally, further considerations are discussed. I hope this paper can spark lively discussions on a new legitimate framework, HEART, to more accurately understand and predict human behavior and team performance in HART settings.

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“…This is especially important in a case when a person uses a system in a long term, i.e., service robots for older adults and artificial nannies for kids [46]. Moreover, research shows that people are more open to system's suggestions if it uses emotional words [47]. This leads to conclusion that a user would be more interested to engage with a system if it would fulfill their emotional expectations as a result supporting the main functions of AAL as well.…”

Section: Emotions As Part Of Aal In the Social Interactionmentioning

confidence: 99%

Towards Truly Affective AAL Systems

Pudāne

Petroviča

Lavendelis

et al. 2019

Lecture Notes in Computer Science

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Affective computing is a growing field of artificial intelligence. It focuses on models and strategies for detecting, obtaining, and expressing various affective states, including emotions, moods, and personality related attributes. The techniques and models developed in affective computing are applicable to various affective contexts, including Ambient Assisted Living. One of the hypotheses for the origin of emotion is that the primary purpose was to regulate social interactions. Since one of the crucial characteristics of Ambient Assisted Living systems is supporting social contact, it is unthinkable to build such systems without considering emotions. Moreover, the emotional capacity needed for Ambient Assisted Living systems exceeds simple user emotion detection and showing emotion expressions of the system. In addition, emotion generation and emotion mapping on rational thinking and behavior of a system should be considered. The chapter discusses the need and requirements for these processes in the context of various application domains of Ambient Assisted Living, i.e., healthcare, mobility, education, and social interaction.

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Both “look and feel” matter: Essential factors for robotic companionship

Cited by 10 publications

References 15 publications

A Systematic Review of Attitudes, Anxiety, Acceptance, and Trust Towards Social Robots

A Systematic Review of Attitudes, Anxiety, Acceptance, and Trust Towards Social Robots

Turning HART into HEART: Human Emotional AI/Robot Teaming

Towards Truly Affective AAL Systems

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