The Development and Evaluation of an Assistance System for Manual Order Picking - Called Pick-by-Projection - with Employees with Cognitive Disabilities

Baechler, Andreas; Baechler, Liane; Autenrieth, Sven; Kurtz, Peter; Kruell, Georg; Hoerz, Thomas; Heidenreich, Thomas

doi:10.1007/978-3-319-41267-2_45

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…Baechler et al [2] followed a user-centered development approach by evaluating 78 questionnaires filled out by pedagogical staff for cognitively impaired adults in work environments and concluded that a projector-based AR assistive system is a suitable choice for assisting work environments and that most disabled workers provide the skills required for the assistive technology to be beneficial. Based on this framework, Baechler et al [1] developed an assistive projector-based application that helps workers with cognitive impairments while executing order picking tasks. Their evaluation with 24 participants with cognitive disabilities revealed that the projection-based approach outperformed traditional approaches and was well accepted among the users.…”

Section: Projectormentioning

confidence: 99%

Augmented reality action assistance and learning for cognitively impaired people

Blattgerste

Renner

Pfeiffer

2019

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

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Augmented reality (AR) is a promising tool for many situations in which assistance is needed, as it allows for instructions and feedback to be contextualized. While research and development in this area have been primarily driven by industry, AR could also have a huge impact on those who need assistance the most: cognitively impaired people of all ages. In recent years some primary research on applying AR for action assistance and learning in the context of this target group has been conducted. However, the research field is sparsely covered and contributions are hard to categorize. An overview of the current state of research is missing. We contribute to filling this gap by providing a systematic literature review covering 52 publications. We describe the often rather technical publications on an abstract level and quantitatively assess their usage purpose, the targeted age group and the type of AR device used. Additionally, we provide insights on the current challenges and chances of AR learning and action assistance for people with cognitive impairments. We discuss trends in the research field, including potential future work for researchers to focus on. CCS CONCEPTS • Human-centered computing → Human computer interaction (HCI).

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Section: Projectormentioning

confidence: 99%

Augmented reality action assistance and learning for cognitively impaired people

Blattgerste

Renner

Pfeiffer

2019

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

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“…Common methods to indicate from which box the current workpiece should be taken are pick-by-paper, pick-by-light, pick-by-display, and pick-by-projection. The pick-by-light method seems to lead to the fastest task completion times [34].…”

Section: Presenting Instructionsmentioning

confidence: 99%

“…Therefore, a fixed digital display is used for the presented research. Although the literature suggests the use of pick-by-light for order picking tasks [34], in the CARAS, the corresponding prompts are also displayed on the digital monitor. This keeps the variety of cues low for the user.…”

Section: Designmentioning

confidence: 99%

Context-Aware Robotic Assistive System: Robotic Pointing Gesture-Based Assistance for People with Disabilities in Sheltered Workshops

Drolshagen,

Pfingsthorn,

Hein

2023

Robotics

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People with disabilities are severely underrepresented in the open labor market. Yet, pursuing a job has a positive impact in many aspects of life. This paper presents a possible approach to improve inclusion by including a robotic manipulator into context-aware Assistive Systems. This expands the assistance possibilities tremendously by adding gesture-based feedback and aid. The system presented is based on the intelligent control system of behavior trees, which—together with a depth camera, specifically designed policies, and a collaborative industrial robotic manipulator—can assist workers with disabilities in the workplace. A developed assistance node generates personalized action sequences. These include different robotic pointing gestures, from simple waving, to precisely indicating the target position of the workpiece during assembly tasks. This paper describes the design challenges and technical implementation of the first Context-Aware Robotic Assistive System. Moreover, an in-field user study in a Sheltered Workshop was performed to verify the concept and developed algorithms. In the assembly task under consideration, almost three times as many parts could be assembled with the developed system than with the baseline condition. In addition, the reactions and statements of the participants showed that the robot was considered and accepted as a tutor.

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A Digital Assistance System Providing Step-by-Step Support for People with Disabilities in Production Tasks

Aksu

Jenderny

Kroll

et al. 2018

Advances in Usability, User Experience and Assistive Technology

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The Development and Evaluation of an Assistance System for Manual Order Picking - Called Pick-by-Projection - with Employees with Cognitive Disabilities

Cited by 5 publications

References 10 publications

Augmented reality action assistance and learning for cognitively impaired people

Augmented reality action assistance and learning for cognitively impaired people

Context-Aware Robotic Assistive System: Robotic Pointing Gesture-Based Assistance for People with Disabilities in Sheltered Workshops

A Digital Assistance System Providing Step-by-Step Support for People with Disabilities in Production Tasks

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