TAM Reloaded: A Technology Acceptance Model for Human-Robot Cooperation in Production Systems

Bröhl, Christina; Nelles, Jochen; Brandl, Christopher; Mertens, Alexander; Schlick, Christopher

doi:10.1007/978-3-319-40548-3_16

Cited by 59 publications

(41 citation statements)

References 6 publications

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“…They even outweighed rational considerations about HRC and therefore are likely to have a substantial influence on HRC acceptance. Although Bröhl et al [ 12 ] examined fear of job loss, they concentrated on its influence on robot perception, specifically on perceived ease of use, and found it to be less important. In contrast, this study indicates that fear of job loss is essential.…”

Section: Discussion 61 General Findingsmentioning

confidence: 99%

“…An extensive model about the acceptance of human-robot cooperation in production systems, which was empirically derived, was presented by Bröhl et al [ 12 ]. Although they dealt with a mandatory context, they did not examine attitudinal acceptance but concentrated on use intentions and use behavior.…”

Section: Acceptance Of Human-robot Interactionmentioning

confidence: 99%

“…There is also evidence that anthropomorphism is related to the willingness to work with the robot [ 69 ]. To promote continuous trust, Charalambous et al [ 12 ] propose that operators should be empowered to rectify errors, as this would extend their understanding of the robot. We observed that many workers would be open to and grateful for such opportunities.…”

Section: Findings About Subject-related Factorsmentioning

confidence: 99%

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Friend or Foe? Understanding Assembly Workers’ Acceptance of Human-robot Collaboration

Meißner

Trübswetter²,

Conti-Kufner

et al. 2020

J. Hum.-Robot Interact.

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Due to rising demands on productivity and flexibility, assembly processes are currently experiencing a substantial transformation. Workstations where humans and robots work closely together are becoming increasingly popular, as they provide major advantages compared to manual assembly and full automation. Yet, human-robot collaboration (HRC) can only be successful if the workforce is willing to accept it. How assembly workers perceive HRC still has to be properly investigated. An exploratory investigation using a Grounded Theory approach was conducted to identify factors that are likely to influence workers' acceptance of introducing HRC at work. Seventeen workers with various levels of HRC experience from four different manufacturing companies were interviewed. Findings reveal that some workers perceive HRC as a threat, while others regard it as an opportunity. This perception seems to depend both on their thoughts and feelings about the technology, i.e., collaborative robots, and the organizational change associated with the introduction of this technology. Several factors related to the robot (object-related factors), the individual background of the workers (subject-related factors), and the organizational environment (context-related factors) are found to influence workers' thoughts and feelings. Implications for researchers and manufacturing companies are outlined. CCS Concepts: • Human-centered computing → HCI theory, concepts and models ; Empirical studies in HCI ; User models; User studies; Field studies; Collaborative interaction; • Social and professional topics → Socio-technical systems; • Computer systems organization → Robotics ; • Social and professional topics → Computer supported cooperative work; Employment issues; • Applied computing → Psychology;

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Section: Discussion 61 General Findingsmentioning

confidence: 99%

Section: Acceptance Of Human-robot Interactionmentioning

confidence: 99%

Section: Findings About Subject-related Factorsmentioning

confidence: 99%

See 1 more Smart Citation

Friend or Foe? Understanding Assembly Workers’ Acceptance of Human-robot Collaboration

Meißner

Trübswetter²,

Conti-Kufner

et al. 2020

J. Hum.-Robot Interact.

View full text Add to dashboard Cite

show abstract

“…Davis 1989;Davis, Bagozzi, and Warshaw 1989;Ajzen 1991;Rogers 1995;Parasuraman 2000;Venkatesh and Davis 2000;Venkatesh et al 2003) being applied to study the adoption behaviour of end customers across various IT products and services. These studies include ERP (Amoako- Gyampah and Salam 2004;Calisir et al 2009;Sternad and Bobek 2013), bitcoin (Kumpajaya and Dhewanto 2015;Folkinshteyn and Lennon 2016), mobile banking (Martins, Oliveira, and Popovič 2014;Pattansheti et al 2016), internet of things (Gao and Bai 2014), RFID (Lee 2009), virtual reality (Bertrand and Bouchard 2008;Shih, Chen, and Chen 2012), Robots (Bröhl et al 2016) and others. A review of the recent adoption models being applied in the IT domain reveals that the focus has been on combining various theoretical models or constructs influencing the adoption behaviour of the customers or the end users.…”

Section: Introductionmentioning

confidence: 99%

Understanding the Blockchain technology adoption in supply chains-Indian context

Kamble

Gunasekaran

Arha

2018

International Journal of Production Research

681

457

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Blockchain technology (BT) is expected to bring a revolutionary paradigm shift in the manner the transactions are carried in the supply chains. BT provides better visibility and transparency by removing the disadvantages of trust related issues in a supply chain. In this paper, we advance the literature on BT and its adoption in the supply chain by developing, and statistically validating a model for understanding the user perceptions on BT adoption. The model is based on the integration of three adoption theories-technology acceptance model (TAM), technology readiness index (TRI) and the theory of planned behaviour (TPB). Based on a survey of 181 supply chain practitioners in India the proposed model was tested using structural equation modelling. The study found that the TRI constructs-Insecurity and discomfort have an insignificant effect on the perceived ease of use and usefulness. Perceived usefulness, attitude, and perceived behavioural control affect the behavioural intention. Subjective norm has a negligible impact on behavioural intention. This is one of the preliminary studies on BT adoption in supply chain and the findings imply that the supply chain practitioners perceive BT adoption free of efforts and would help them to derive maximum benefits for improving the supply chain effectiveness.

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“…The TAM is an information systems theory that tries to model how human users get to accept and use new technology. As the TAM suggests and also shown in [12] two specific sights, namely perceived usefulness (PU) and perceived ease of use (PEU) are in particular relevant for behavioral intention of use and acceptance of new technology [9]. We incorporated these two factors by applying a deductive (theory-driven) procedure.…”

Section: Conceptual Basismentioning

confidence: 99%

A questionnaire for the evaluation of physical assistive devices (QUEAD): Testing usability and acceptance in physical human-robot interaction

Schmidtler

Bengler

Dimeas

et al. 2017

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Many novel physical assistance devices are beginning to incorporate intelligent robotic systems and mechatronic components. In terms of a human-centered design it is crucial to assess the perceived subjective usability and acceptance of these systems. A questionnaire was thus designed to evaluate novel physically assisting devices in order to support developers in their design decisions as well as users during individualizing of their assistive devices. Two studies (n1 = 9, n2 = 21), using two different devices, were conducted to analyze objectivity, reliability, and validity. The results show an overall high internal consistency (Cronbach's α > 0.8), which indicates reliability and applicability of the QUEAD. Criterion validity was tested applying correlations with established objective measures for efficiency (time to task completion), effectivity (errors and collisions), and commitment (mean force). Construct validity was applied using a proposed model and correlations to verify convergence. The results show that the QUEAD is able to assess perceived usability and acceptance.

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TAM Reloaded: A Technology Acceptance Model for Human-Robot Cooperation in Production Systems

Cited by 59 publications

References 6 publications

Friend or Foe? Understanding Assembly Workers’ Acceptance of Human-robot Collaboration

Friend or Foe? Understanding Assembly Workers’ Acceptance of Human-robot Collaboration

Understanding the Blockchain technology adoption in supply chains-Indian context

A questionnaire for the evaluation of physical assistive devices (QUEAD): Testing usability and acceptance in physical human-robot interaction

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