A Survey of Users' Expectations Towards On-body Companion Robots

Jiang, Hao; Lin, Siyuan; Veerajagadheswar, Prabakaran; Elara, Mohan Rajesh; Sun, Lingyun

doi:10.1145/3322276.3322316

Cited by 13 publications

(7 citation statements)

References 39 publications

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“…This robot has four wheels for locomotion, weighs 403 g, and its characteristic length (width) is ∼ 45mm. These studies are supported by Jiang et al [30]'s design guidelines for onbody companion robots and Urbani et al [31]'s proposed framework that enables developing experiences to combine AR and wearable companion robots. Furthermore, as the field grows, different application areas for small-scale robots will become available.…”

Section: A Miniature Robots That Move On the Bodymentioning

confidence: 94%

Characterization of a Meso-Scale Wearable Robot for Bathing Assistance

Fukang¹,

Patil²,

Erickson³

et al. 2022

Preprint

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Robotic bathing assistance has long been considered an important and practical task in healthcare. Yet, achieving flexible and efficient cleaning tasks on the human body is challenging, since washing the body involves direct human-robot physical contact and simple, safe, and effective devices are needed for bathing and hygiene. In this paper, we present a meso-scale wearable robot that can locomote along the human body to provide bathing and skin care assistance. We evaluated the cleaning performance of the robot system under different scenarios. The experiments on the pipe show that the robot can achieve cleaning percentage over 92% with two types of stretchable fabrics. The robot removed most of the debris with average values of 94% on a human arm and 93% on a manikin torso. The results demonstrate that the robot exhibits high performance in cleaning tasks.

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Section: A Miniature Robots That Move On the Bodymentioning

confidence: 94%

Characterization of a Meso-Scale Wearable Robot for Bathing Assistance

Fukang¹,

Patil²,

Erickson³

et al. 2022

Preprint

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“…The MTRNN is composed of three types of neurons: input-output (IO), fast context (Cf ), and slow context (Cs) neurons.The model effectively memorizes the trained sequences as combinations of the dynamics of Cf and Cs neurons. Objective: To investigate the challenges and opportunities of novel robotic platforms from the user's perceptive, various previous works have utilized user-centered design approaches [5], [7], [33], [6] to gain insights about user impressions and expectations of such platforms. Accordingly, our main evaluation objective is to investigate the impressions and opinions about Hatsuki's design and to gain insights about highly-desired applications.…”

Section: F Implementation Of Imitation Learningmentioning

confidence: 99%

“…Method: We extended the questionnaires in previous works [5], [7], [6], [34] to design a survey that measured users' satisfaction of Hatsuki's design, as well as interaction expectations during public and private usage contexts. As Hatsuki is mainly designed to target anime and figurine fans, we carried out our survey at Wonder Festival 2020 [8], which is one of the biggest anime figurine conferences in the world.…”

Section: F Implementation Of Imitation Learningmentioning

confidence: 99%

“…Accordingly, we start by explaining the design and implementation specifications of Hatsuki, followed by two evaluations. Similar to previous approaches [5], [6], [7], we focused our first evaluation on investigating users' impressions of Hatsuki through a survey, which was handed out to visitors of Hatsuki's exhibition booth at the largest figurine exhibition in the world (Wonder Festival [8]). Results show that participants regarded Hatsuki as a combination of the figurine and humanoid robots, proposed various intriguing use cases of Hatsuki within public and private usage contexts [9], and were generally very satisfied with Hatsuki.…”

Section: Introductionmentioning

confidence: 99%

“…Pin-Chu Yang, 2 Mohammed Al-Sada, 5 Tito Pradhono Tomo,6 Kanata Suzuki,7 Nelson Yalta, and 9 Tetsuya Ogata are with Waseda University,…”

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confidence: 99%

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HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation

Yang

Al-Sada

Chiu

et al. 2020

Preprint

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Japanese character figurines are popular and have pivot position in Otaku culture. Although numerous robots have been developed, less have focused on otaku-culture or on embodying the anime character figurine. Therefore, we take the first steps to bridge this gap by developing Hatsuki, which is a humanoid robot platform with anime based design. Hatsuki's novelty lies in aesthetic design, 2D facial expressions, and anime-style behaviors that allows it to deliver rich interaction experiences resembling anime-characters. We explain our design implementation process of Hatsuki, followed by our evaluations. In order to explore user impressions and opinions towards Hatsuki, we conducted a questionnaire in the world's largest anime-figurine event. The results indicate that participants were generally very satisfied with Hatsuki's design, and proposed various use case scenarios and deployment contexts for Hatsuki. The second evaluation focused on imitation learning, as such method can provide better interaction ability in the real world and generate rich, context-adaptive behavior in different situations. We made Hatsuki learn 11 actions, combining voice, facial expressions and motions, through neuron network based policy model with our proposed interface. Results show our approach was successfully able to generate the actions through selforganized contexts, which shows the potential for generalizing our approach in further actions under different contexts. Lastly, we present our future research direction for Hatsuki, and provide our conclusion.

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