Towards interacting with smarter systems

Davani, Aida Mostafazadeh; Shirehjini, Ali Asghar Nazari; Daraei, Sara

doi:10.1007/s12652-016-0433-9

Cited by 16 publications

(5 citation statements)

References 29 publications

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“…On the other hand, there are 13 papers out of 77 included papers that explicitly adapt HCD in services, for example public service for smart housing services—which seamlessly connect humans and machines—by design for HMI with the application of Bluetooth ubiquitous networks (Diegel et al, 2004 ) or a 3D-based meta-user interface (Mostafazadeh Davani et al, 2018 ). For the healthcare sector , Haber and Fargnoli ( 2019 ) emphasized the understanding of human needs and proposed the approach of PSS—the integration of products (hemodialysis devices) and services (e.g., technical support, response time)—for the offering’s value.…”

Section: Literature Characterization Of Human-centred Design In Industry 40mentioning

confidence: 99%

“…The next research interest is to provide supporting design frameworks (RR6) that facilitate the design process by providing systematic thinking—the use of the integrated novel design methods (innovation matrix, application space mapping, QFD) and Lean initiatives (avoidance of valueless reworks and activities)—towards economic sustainability (Lee & Abuali, 2011 ; Pezzotta et al, 2018 ). Other studies focus on design solutions for complexity and uncertainty: incomplete information regarding human requirements (Haber & Fargnoli, 2019 ); the changes in human preferences (Lin, 2018 ); decision making on different design alternatives for mass customization towards manufacturability (Mourtzis et al, 2018 ); interaction requirements among non-human—smart manufacturing devices/tools, core enterprise business systems (ERP, SAP)—and human actors (manufacturers, designers, users) (Mostafazadeh Davani et al, 2018 ; Song et al, 2016 ; Zhang et al, 2020 ); adaptation of design processes to the context of small-and medium-sized enterprises (Adrodegari & Saccani, 2020 ; van Lopik et al, 2020 ). These studies tackle different problems scattered across life-cycle design phases, useful to consider in relation to further research to address the relevant problems in a comprehensive way.…”

Section: Literature Characterization Of Human-centred Design In Industry 40mentioning

confidence: 99%

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Human-centred design in industry 4.0: case study review and opportunities for future research

2021

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The transition to industry 4.0 has impacted factories, but it also affects the entire value chain. In this sense, human-centred factors play a core role in transitioning to sustainable manufacturing processes and consumption. The awareness of human roles in Industry 4.0 is increasing, as evidenced by active work in developing methods, exploring influencing factors, and proving the effectiveness of design oriented to humans. However, numerous studies have been brought into existence but then disconnected from other studies. As a consequence, these studies in industry and research alike are not regularly adopted, and the network of studies is seemingly broad and expands without forming a coherent structure. This study is a unique attempt to bridge the gap through the literature characteristics and lessons learnt derived from a collection of case studies regarding human-centred design (HCD) in the context of Industry 4.0. This objective is achieved by a well-rounded systematic literature review whose special unit of analysis is given to the case studies, delivering contributions in three ways: (1) providing an insight into how the literature has evolved through the cross-disciplinary lens; (2) identifying what research themes associated with design methods are emerging in the field; (3) and setting the research agenda in the context of HCD in Industry 4.0, taking into account the lessons learnt, as uncovered by the in-depth review of case studies.

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Section: Literature Characterization Of Human-centred Design In Industry 40mentioning

confidence: 99%

Section: Literature Characterization Of Human-centred Design In Industry 40mentioning

confidence: 99%

Human-centred design in industry 4.0: case study review and opportunities for future research

2021

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“…Formal prototyping, in general, aims to employ rigor and accurate methods to model and document the UI at functional level (e.g., events, iterations and conditions) as well as at physical level (e.g., bouncing button or sliding knob), hence the UI can be developed and assessed systematically (Dix, Ghazali, Gill, Hare, & Ramduny-Ellis, 2009). Examples of formal methods are State Transitions Networks (STN), Petri Nets, Z notation and XMLbased models in Davani, Shirehjini and Daraei (2018) and Tsalmpouris et al (2021). Informal prototyping, on the other hand, uses quick and flexible ways to describe and illustrate the interface morphologically (how it looks) and functionally (how it works).…”

Section: Formal and Informal Ui Prototypingmentioning

confidence: 99%

A Systematic Lightweight Approach for Natural User Interfaces Prototyping

Alabdulwahab,

Law

2023

Electronic Workshops in Computing

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The emergence of Natural User Interface (NUI) two decades ago brought a lot of potential by supporting intuitive and multimodal interaction and leveraging human sensorimotor skills. Systematic prototyping and development of NUI, however, received much less attention, and legacy methods of the previous Graphical User Interface (GUI) were applied to develop NUIs. This has led to usability issues in many cases. In this paper we introduce a systematic lightweight approach to aid designers and developers in prototyping NUIs based on the context of interaction. We demonstrate the application of this approach through the development of a pen-based NUI.

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“…Many systems are also aimed at improving learning platforms, like in [12] in which the engagement and motivation of the students are inferred by analysing their implicit feedbacks. A further step towards the complete environment automation and complete control for the user is given by the meta user interfaces whose main focus is to support the interaction with ambient intelligence systems [16]. Such kind of interaction earns much importance in the current era of IoT and smart environments, like highlighted in [18], in which the authors describe a 3D-based user interface for accessing smart environments.…”

Section: Related Workmentioning

confidence: 99%

Natural interaction with traffic control cameras through multimodal interfaces

Grazioso¹,

Podda²,

Barra³

et al. 2021

Preprint

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Human-Computer Interfaces have always played a fundamental role in usability and commands' interpretability of the modern software systems. With the explosion of the Artificial Intelligence concept, such interfaces have begun to fill the gap between the user and the system itself, further evolving in Adaptive User Interfaces (AUI). Meta Interfaces are a further step towards the user, and they aim at supporting the human activities in an ambient interactive space; in such a way, the user can control the surrounding space and interact with it. This work aims at proposing a meta user interface that exploits the Put That There paradigm to enable the user to fast interaction by employing natural language and gestures. The application scenario is a video surveillance control room, in which the speed of actions and reactions is fundamental for urban safety and driver and pedestrian security. The interaction is oriented towards three environments: the first is the control room itself, in which the operator can organize the views of the monitors related to the cameras on site by vocal commands and gestures, as well as conveying the audio on the headset or in the speakers of the room. The second one is related to the control of the video, in order to go back and forth to a particular scene showing specific events, or zoom in/out a particular camera; the third allows the operator to send rescue vehicle in a particular street, in case of need. The gestures data are acquired through a Microsoft Kinect 2 which captures pointing and gestures allowing the user to interact multimodally thus increasing the naturalness of the interaction; the related module maps the movement information to a particular instruction, also supported by vocal commands which enable its execution. Vocal commands are mapped by means of the LUIS (Language Understanding) framework by Microsoft, which helps to yield a fast deploy of the application; furthermore, LUIS guarantees the possibility to extend the dominion related command list so as to constantly improve and update the model. A testbed procedure investigates both the system usability and multimodal recognition performances. Multimodal sentence error rate (intended as the number of incorrectly recognized utterances even for a single item) is around 15%, given by the

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Towards interacting with smarter systems

Cited by 16 publications

References 29 publications

Human-centred design in industry 4.0: case study review and opportunities for future research

Human-centred design in industry 4.0: case study review and opportunities for future research

A Systematic Lightweight Approach for Natural User Interfaces Prototyping

Natural interaction with traffic control cameras through multimodal interfaces

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