Design of a Huggable Social Robot with Affective Expressions Using Projected Images

Nuñez, Eleuda; Hirokawa, Masakazu; Suzuki, Kenji

doi:10.3390/app8112298

Cited by 9 publications

(4 citation statements)

References 55 publications

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“…So they said gathering more accurate data from multiple evaluation methodology will be complementary. We also agree with this point, and we put together the evaluation context of reference paper in table [11] and hope it could be helpful to select an evaluation method for practitioners.…”

Section: Suggestion Of Stimuli and Evaluation Technique By Assessment Conditionsmentioning

confidence: 59%

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Evaluation of Methodologies and Measures on the Usability of Social Robots: A Systematic Review

2021

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This paper systemically reviews and clarifies the state-of-the-art HRI evaluation studies especially for the usability of social robots. A total of 36 articles were collected through a keyword, abstract, title search from various online search engines. Afterwards, 163 measures were selected and reviewed carefully. This research was classified into two parts. In the first part, evaluation methodologies were investigated according to (1) type of stimuli on evaluation, (2) evaluation technique, and (3) criteria of participants. In the second part, assessment measures were collected and the model of attitude towards a social robot is proposed. As a result, this study suggests practical strategies for selecting appropriate methods and measures that meet specific requirements of research. The proposed hierarchical structure of assessment measures is expected to contribute to both practical use and academic use.

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Section: Suggestion Of Stimuli and Evaluation Technique By Assessment Conditionsmentioning

confidence: 59%

“…Images. There was four research that used a still image as a stimulus for evaluation [10][11][12][13]. Those research aimed to evaluate the robot's appearance to identify appropriate design or facial expression of robots.…”

Section: Type Of Stimulimentioning

confidence: 99%

Evaluation of Methodologies and Measures on the Usability of Social Robots: A Systematic Review

2021

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“…However, there is limited research exploring the specific measurement of facial trustworthiness toward anthropomorphic robots, particularly upon initial encounters. Considering the growing number of social robots designed to provide emotional support and companionship to humans [ 10 ], it is reasonable to assume that similar affective responses and personality evaluations may arise in relation to these robots [ 11 ]. Unfortunately, this aspect has been largely overlooked in current robot design and research studies.…”

Section: Introductionmentioning

confidence: 99%

Facial Anthropomorphic Trustworthiness Scale for Social Robots: A Hybrid Approach

Song,

Luximon,

Luximon

2023

Biomimetics

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Social robots serve as autonomous systems for performing social behaviors and assuming social roles. However, there is a lack of research focusing on the specific measurement of facial trustworthiness toward anthropomorphic robots, particularly during initial interactions. To address this research gap, a hybrid deep convolution approach was employed in this study, involving a crowdsourcing platform for data collection and deep convolution and factor analysis for data processing. The goal was to develop a scale, called Facial Anthropomorphic Trustworthiness towards Social Robots (FATSR-17), to measure the trustworthiness of a robot’s facial appearance. The final measurement scale comprised four dimensions, “ethics concern”, “capability”, “positive affect”, and “anthropomorphism”, consisting of 17 items. An iterative examination and a refinement process were conducted to ensure the scale’s reliability and validity. The study contributes to the field of robot design by providing designers with a structured toolkit to create robots that appear trustworthy to users.

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“…This sharp increase in the number of social robots is due to the decreasing costs of manufacturing and components, such as sensors and lower consumer prices (Graaf and Allouch, 2013). There is even anecdotal evidence that society's openness to accepting robot companions will increase in the near future (Hirokawa and Suzuki, 2018). Currently, the social robot market is valued at $288.23 million USD in 2017 and is projected to increase at aCompound Annual Growth Rate (CAGR) of 13.75% over the forecast period to reach $699.18 million USD by 2023.…”

Section: Introductionmentioning

confidence: 99%

User experience research on social robot application

Tung

Campos

2021

LHT

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PurposeSocial robot, a subtype of robots that is designed for the various interactive services for human, which must deliver superior user experience (UX) by expressing human-like social behavior or service and emotional sensitivity. This study develops a social robot app called the “Music Buddy” in ASUS Zenbo that provides a situational music based on the users' electroencephalogram (EEG) data. The research uses this app to explore its UX criteria and the prioritization of human robot interaction (HRI).Design/methodology/approachThe research methodologies include the both system development and decision analysis for the social robot. The first part is to design and develop a social robot app. The second part is to investigate the criteria of HRI through the Analytic Hierarchy Process (AHP) from UX aspects.FindingsIn view of the results of the AHP, the first-layer criteria consist of personalized function, easy-to-use the system and intelligent process. In terms of prioritization of multi-criteria, the overall ranking discloses the nine criteria in order including autonomy for robot, easy-to-use EEG device, accurate music preference, simple operations for brainwave device and easy-to-use applications, active music recommendation, automatic updates of music and easy-to-use robot as well as fast detection for emotion.Originality/valueThis research includes a self-developed social robot app and its UX research using AHP. This paper contributes to the improvement and innovation of the social robot design according to the results of UX research on HRI of social robot.

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Design of a Huggable Social Robot with Affective Expressions Using Projected Images

Cited by 9 publications

References 55 publications

Evaluation of Methodologies and Measures on the Usability of Social Robots: A Systematic Review

Evaluation of Methodologies and Measures on the Usability of Social Robots: A Systematic Review

Facial Anthropomorphic Trustworthiness Scale for Social Robots: A Hybrid Approach

User experience research on social robot application

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