Unconventional Students in Robotics and HRI Education: A Review of Two Initiatives

Zenk, Julaine; Crowell, Charles R.; Villano, Michael; Kaboski, J.; Tang, Karen; Diehl, Joshua

doi:10.5898/jhri.6.2.zenk

Cited by 2 publications

(6 citation statements)

References 23 publications

(77 reference statements)

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“…Effective HRI guidelines incorporate user requirements and expectations in the design specifications, driving higher levels of acceptance of service robots in customer-facing situations. A set of universally accepted HRI guidelines with implementation standards has yet to emerge, however (Zenk et al, 2017). Compilation of such information for designers of hospitality service robots will offer a clearer roadmap for them to follow.…”

Section: Discussionmentioning

confidence: 99%

Improving human–robot interactions in hospitality settings

Collins

2020

IHR

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PurposeService robotics, a branch of robotics that entails the development of robots able to assist humans in their environment, is of growing interest in the hospitality industry. Designing effective autonomous service robots, however, requires an understanding of Human–Robot Interaction (HRI), a relatively young discipline dedicated to understanding, designing, and evaluating robotic systems for use by or with humans. HRI has not yet received sufficient attention in hospitality robotic design, much like Human–Computer Interaction (HCI) in property management system design in the 1980s. This article proposes a set of introductory HRI guidelines with implementation standards for autonomous hospitality service robots.Design/methodology/approachA set of key user-centered HRI guidelines for hospitality service robots were extracted from 52 research articles. These are organized into service performance categories to provide more context for their application in hospitality settings.FindingsBased on an extensive literature review, this article presents some HRI guidelines that may drive higher levels of acceptance of service robots in customer-facing situations. Deriving meaningful HRI guidelines requires an understanding of how customers evaluate service interactions with humans in hospitality settings and to what degree those will differ with service robots.Originality/valueRobots are challenging assumptions on how hospitality businesses operate. They are being increasingly deployed by hotels and restaurants to boost productivity and maintain service levels. Effective HRI guidelines incorporate user requirements and expectations in the design specifications. Compilation of such information for designers of hospitality service robots will offer a clearer roadmap for them to follow.

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Section: Discussionmentioning

confidence: 99%

Improving human–robot interactions in hospitality settings

Collins

2020

IHR

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“…However, a more inclusive and practical course structure can lead to better results when teaching HRI. A recent work explored two such initiatives to teach non-engineering students to create interactive sequences to be enacted on a robot [4]. It was found that students in both initiatives benefited from the combination of structured education and self-interest-guided explorations.…”

Section: Course Structure and Teaching Methodsmentioning

confidence: 99%

“…Diverse Educational Background : India has about 65 school education boards as listed by the Ministry of Human Resource Development, India 4 . Each of these education boards has its curriculum for school students to pursue up to their undergraduate studies.…”

Section: Challengesmentioning

confidence: 99%

“…Diverse Languages : India has more than 121 languages that are categorized as mother tongue, out of which 22 are recognized as scheduled languages 5 . Apart from English, many of the education boards allow for the language medium of 3 Tesla Bot 4 List of school education boards 5 Indian govt. census website instruction to be in the mother tongue of the students when possible.…”

Section: Challengesmentioning

confidence: 99%

“…In recent years a few universities have started offering courses in HRI. Additionally, many studies have discussed and proposed guidelines for HRI courses to be taught in educational institutions [2,4]. However, the field has yet to reach a consensus on a standardized curriculum outlining the must-have concepts in an HRI course.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of the indian institute of science education and research (IISER) library websites in India: A case study

Mishra¹

2019

Library Progress (International)

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Energy prediction in buildings plays a crucial role in effective energy management. Precise predictions are essential for achieving optimal energy consumption and distribution within the grid. This paper introduces a Long Short-Term Memory (LSTM) model designed to forecast building energy consumption using historical energy data, occupancy patterns, and weather conditions. The LSTM model provides accurate short, medium, and long-term energy predictions for residential and commercial buildings compared to existing prediction models. We compare our LSTM model with established prediction methods, including linear regression, decision trees, and random forest. Encouragingly, the proposed LSTM model emerges as the superior performer across all metrics. It demonstrates exceptional prediction accuracy, boasting the highest R 2 score of 0.97 and the most favorable mean absolute error (MAE) of 0.007. An additional advantage of our developed model is its capacity to achieve efficient energy consumption forecasts even when trained on a limited dataset. We address concerns about overfitting (variance) and underfitting (bias) through rigorous training and evaluation on real-world data. In summary, our research contributes to energy prediction by offering a robust LSTM model that outperforms alternative methods and operates with remarkable efficiency, generalizability, and reliability.

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Unconventional Students in Robotics and HRI Education: A Review of Two Initiatives

Cited by 2 publications

References 23 publications

Improving human–robot interactions in hospitality settings

Improving human–robot interactions in hospitality settings

Evaluation of the indian institute of science education and research (IISER) library websites in India: A case study

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