Exploring the Effect of Mass Customization on User Acceptance of Socially Assistive Robots (SARs)

Liberman-Pincu, Ela; Oron-Gilad, Tal

doi:10.1109/hri53351.2022.9889466

Cited by 13 publications

(3 citation statements)

References 16 publications

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“…There is no consensus among users regarding the appropriate appearance for SARs. Hence, specifically for the case of a personal robot (PAR), the design should allow users to make adjustments using mass customization [52]. In addition, these results may indicate that the participatory design of SARs should be done carefully using two-way evaluations, allowing users to express themselves without relying on them to make design decisions.…”

Section: Discussion and Future Workmentioning

confidence: 99%

Designing Robots with the Context in Mind- One Design Does Not Fit All

Liberman-Pincu

Grondelle²,

Oron-Gilad³

2023

Human-Friendly Robotics 2022

Self Cite

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Robots' visual qualities (VQs) impact people's perception of their characteristics and affect users' behaviors and attitudes toward the robot. Recent years point toward a growing need for Socially Assistive Robots (SARs) in various contexts and functions, interacting with various users. Since SAR types have functional differences, the user experience must vary by the context of use, functionality, user characteristics, and environmental conditions. Still, SAR manufacturers often design and deploy the same robotic embodiment for diverse contexts. We argue that the visual design of SARs requires a more scientific approach considering their multiple evolving roles in future society. In this work, we define four contextual layers: the domain in which the SAR exists, the physical environment, its intended users, and the robot's role. Via an online questionnaire, we collected potential users' expectations regarding the desired characteristics and visual qualities of four different SARs: a service robot for an assisted living/retirement residence facility, a medical assistant robot for a hospital environment, a COVID-19 officer robot, and a personal assistant robot for domestic use. Results indicated that users' expectations differ regarding the robot's desired characteristics and the anticipated visual qualities for each context and use case.

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Section: Discussion and Future Workmentioning

confidence: 99%

Designing Robots with the Context in Mind- One Design Does Not Fit All

Liberman-Pincu

Grondelle²,

Oron-Gilad³

2023

Human-Friendly Robotics 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…The manufacturing sector has been profoundly affected by globalization, increasing product life-cycle dynamics, and mass customization [1,2]. To cut down on production and administration costs, most contemporary manufacturers now contract out to third-party vendors for the creation of individual components.…”

Section: Introductionmentioning

confidence: 99%

Blockchained supply chain management based on IoT tracking and machine learning

Dong

Liang

et al. 2022

J Wireless Com Network

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When it comes to running and managing modern supply chains, 6G Internet of things (IoT) is of utmost importance. To provide IoT with security and automation, blockchain and machine learning are two upper-layer technology that can help. First, we propose to utilize blockchain in modern supply chains to ensure efficient collaboration between all parties. Second, we adopt multi-head attention (MHA)-based gated recurrent unit (GRU) to do inbound logistics task prediction. Finally, numerical results justify that multi-head attention-based GRU model has better fitting efficiency and prediction accuracy than its counterparts.

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“…Globalization, rising product lifecycle dynamics, and mass customization have had a significant impact on the manufacturing industry [1,2]. To reduce production and administrative expenses, the majority of modern manufacturers today outsource the creation of individual components to third-party vendors.…”

Section: Introductionmentioning

confidence: 99%

6G IoT Tracking- and Machine Learning-Enhanced Blockchained Supply Chain Management

2022

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The 6G Internet of Things (IoT) is of utmost importance when it comes to running and controlling contemporary supply chains. Blockchain and machine learning (ML) are two upper-layer technologies that can assist with securing and automating the IoT. First, we propose integrating blockchain technology into modern supply chains to facilitate effective communication among all partners. Second, for inbound logistics task prediction, we develop Multi-Head Attention (MHA)-Based Gated Recurrent Unit (GRU). Finally, numerical findings demonstrate that the MHA-Based GRU model has satisfying fitting efficiency and prediction precision compared to its competitors.

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Exploring the Effect of Mass Customization on User Acceptance of Socially Assistive Robots (SARs)

Cited by 13 publications

References 16 publications

Designing Robots with the Context in Mind- One Design Does Not Fit All

Designing Robots with the Context in Mind- One Design Does Not Fit All

Blockchained supply chain management based on IoT tracking and machine learning

6G IoT Tracking- and Machine Learning-Enhanced Blockchained Supply Chain Management

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