This study investigates the impact of the Internet of Robotic Things (IoRT) on user perceptions when the system encourages users behavior in accordance with social norms. Utilizing a 2 (Relationship between humans: hierarchical vs. flat) x2 (IoRT mode: hierarchical vs. flat) mixed-participants design, the research explores how different modes of IoRT operationflat and hierarchicalaffect perceived usefulness, service evaluation of the IoRT, and perceived sociability and familiarity towards counterparts. Results indicated that the flat mode was rated more favorably than the hierarchical mode in terms of usefulness and service evaluation. Additionally, sociability and familiarity ratings towards the interaction counterpart significantly varied based on the relationship type and IoRT mode, with the flat mode enhancing these perceptions particularly in flat relationship conditions.

The Effect of IoRT on Technology Perception and User Impressions through Social Norm Compliance

With becoming an aging society rapidly, the digital divide among the elderly is expected to emerge as a social problem. In order to bridge the digital gap between the elderly and the general public, it is necessary to find out what difficulties the elderly have in using information and communication technology (ICT) and what technologies and services they need. In order to figure out those issues, we conducted three phases of study: ICT literacy survey, interview, and design workshop (N=10). This study has three major findings. First, from the physical view, the elderly found ICT that reduces their movement distance attractive. Second, from the cognitive perspective, services which reduce the gap between the real physical ability of the elderly and the perceived ability of them by themselves are needed. Lastly, from the psychological view, an intuitive and natural interface is needed for the elderly who are afraid of learning new technology.

Exploring ICT for the Elderly: By Analyzing the Elders’ Needs for Information Acquisition and Delivery

Human gaits constitute significant health information because they indicate body function conditions, such as sensory, motor, and cognitive functions. Monitoring gait patterns helps to find weakened body parts and to prevent diseases before they become serious. In this paper, we propose a novel method to monitor human gaits in indoor environments by using a mobile robot and artificial intelligence. A mobile robot periodically collects 3D skeleton data by using an installed depth camera, and the collected data are used to extract gait parameters and to classify normal, antalgic, stiff-legged, steppage, lurching, and Trendelenburg gaits via the proposed system. Ultrawideband (UWB)-based localization with Kalman filtering and odometry-based state estimation is adopted to allow a mobile robot to rapidly and accurately reach the target human. We use both 3D skeletons and joint-based angle data to achieve improved pathological gait classification performance. A bidirectional gated recurrent unit (Bi-GRU) architecture is adopted for fusion at the feature level. An accuracy of 97.64% is achieved by using the proposed multiple-input model, whereas 96.63% and 94.17% accuracies are achieved by the skeleton- and joint-based angle input models, respectively. The proposed automatic gait analysis method can contribute to improving untact smart home care and quality of life.

Domestic Social Robots as Companions or Assistants? The Effects of the Robot Positioning on the Consumer Purchase Intentions

Speaking and appearance modalities might give characters to the AI agent. We designed a 2(speech types: assistant-like vs. companion-like) × 2(flexibility types: flexible vs. hard) × 2(roughness types: rough vs. smooth) mixed-participant experiment to explore the users’ perception of the AI agent on usefulness, sociability, and service evaluation. The results showed that the texture affected the users’ perception of the AI agent and the users’ preference for a specific texture according to the speech type. Based on the results, we discussed the appropriate texture setting and speech type in specific context.

Effect of AI Agent's Speech and Tactility Types on Users' Perception

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WeLBR_C - Late Breaking Reports Session II

poster

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Dear Colleagues and Friends,

The 33rd IEEE International Conference on Robot and Human Interactive Communication, IEEE RO-MAN 2024, was held at Pasadena Convention Center in Pasadena, USA.

The theme of the IEEE RO-MAN 2024 was **“Embracing Human-Centered HRI”**.

With the continuous technological effort of understanding human needs, creating human-desired robotic systems, and developing real human user experiences, we are marching together towards building a promising and excellent human quality of life, all for our wellness and our next generation.

The conference provided a forum for researchers and practitioners to discuss a variety of topics related to the broad theme of Robot and Human Interactive Communication involving theories, methodologies, technologies, empirical and experimental studies, and generated more insights for the future of Robot and Human Interactive Communication!

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IEEE RO-MAN 2024

The 33rd IEEE International Conference on Robot and Human Interactive Communication was held in Pasadena, California, USA. The theme of the IEEE RO-MAN 2024 was “Embracing Human-Centered HRI”.

**Session Chairs: Antonio Sgorbissa, Ho Seok Ahn**

Long Session II: Social Human-Robot Interaction of Human-care Service Robots

technical paper

**31st IEEE International Conference on Robot & Human Interactive Communication**
 This conference is a leading forum where state-of-the-art innovative results, the latest developments as well as future perspectives relating to robot and human interactive communication are presented and discussed.
 
 The conference covers a wide range of topics related to Robot and Human Interactive Communication, involving theories, methodologies, technologies, empirical and experimental studies. Papers related to the study of robotic technology, psychology, cognitive science, artificial intelligence, human factors, ethics and policies, interaction-based robot design and other topics related to human-robot interaction are welcome.
 
 **CONFERENCE THEME:**
 Social, asocial, and antisocial robots
 
 Robots are starting to populate our lives: at work, in our homes, hotels, shops. However, not everybody is comfortable with robots finding a place in society. For example, people may be afraid that robots will replace humans in their jobs. This belief is exacerbated by the media that, on one side, raise expectations of robots’ capabilities, while amplifying fears and worries on the other side.
 
 In the next years, due to the increasing request for interaction with people in social environments, academic research and market analyses predict that robots will become more and more “social”. But, at the same time, robots may incur the risk of being perceived as “asocial” as their pervasiveness in everyday environments may become an obstacle to social interaction between humans. Or they may even be rejected as “antisocial” if researchers do not take care to develop robots that behave according to the customs and habits of the communities where they are expected to operate.
 
 To prevent this from happening, robotic researchers can no longer take the luxury of being mere technicians. They must be capable of addressing all the challenges raised by future robot-populated communities in a multidisciplinary way. They need to share their knowledge with the public to make people aware of what robots really are, what expectations we can have from them, the risks we may incur, and the possible mitigation plans.
 
 While being open to any kind of contribution related to Human-Robot Interactive Communication, the RO-MAN 2022 conference will emphasize these aspects of robotic research. How can we create robots capable of being welcomed as our assistants and companions in society while, at the same time, not being perceived as “asocial” or “antisocial?” How can we create robots perceived as facilitators of the natural development of human beings and communities, rather than obstacles?
 
 Contributions from different disciplines, not exclusively related to technological development, will be welcomed as crucial to pave the way to global acceptance of future robots with an informed attitude.
 
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IEEE RO-MAN 2022

31st IEEE International Conference on Robot & Human Interactive Communication
This conference is a leading forum where state-of-the-art innovative results, the latest developments as well as future perspectives relating to robot and human interactive communication are presented and discussed.

**Session Chairs: Glenda Hannibal, Arzu Güneysu Özgür**

Session VI: Robot Companions and Social Robots

Interactive 3E - Social Human-Robot Interaction of Service Robots

RO-MAN 2021's theme is trustworthiness and cooperation. We chose this term well before the pandemic put the world on edge and added a new reason for us to question our own personal safety when in the company of others. But what about in the company of social robots? What would cause us to trust, or not trust, them? How do we as researchers create that feeling, that critical component of any relationship? With social robots, it is of course largely in our power to design the physical form, the control code and the interface software to maximize trustworthiness, facilitate cooperation and enhance the quality of human-robot interaction. This theme also touches upon people's expectations and perceptions of robots, as well as other social, cognitive and cultural factors that will influence human-robot interactions. We will have a special session/track on this topic, invite targeted submissions and include plenary speakers who are specialist in this area. We sincerely hope that this focus will help enlighten the design-thinking of all of us as we fabricate and program our own various systems.

To access RO-MAN Virtual 2021, [please register here.](https://ro-man2021.org/registration/)

IEEE RO-MAN 2021

RO-MAN 2021's theme is trustworthiness and cooperation. We chose this term well before the pandemic put the world on edge and added a new reason for us to question our own personal safety when in the company of others. But what about in the company of social robots? What would cause us to trust, or not trust, them? How do we as researchers create that feeling, that critical component of any relationship? With social robots, it is of course largely in our power to design the physical form, the control code and the interface software to maximize trustworthiness, facilitate cooperation and enhance the quality of human-robot interaction. 

Dahyun Kang

4

3

SHORT BIO

Presentations

The Effect of IoRT on Technology Perception and User Impressions through Social Norm Compliance

Exploring ICT for the Elderly: By Analyzing the Elders’ Needs for Information Acquisition and Delivery

Domestic Social Robots as Companions or Assistants? The Effects of the Robot Positioning on the Consumer Purchase Intentions

Effect of AI Agent's Speech and Tactility Types on Users' Perception

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