\n

@inproceedings{garces_integrating_2024,\n\taddress = {Funchal, Portugal},\n\ttitle = {Integrating {Physiological} {Sensors} into {User} {Evaluations}: {Two} {Studies} {Involving} {Experts} and {Novices}},\n\tcopyright = {https://doi.org/10.15223/policy-029},\n\tisbn = {9798350362435},\n\tshorttitle = {Integrating {Physiological} {Sensors} into {User} {Evaluations}},\n\turl = {https://ieeexplore.ieee.org/document/10794311/},\n\tdoi = {10.1109/ICE/ITMC61926.2024.10794311},\n\tabstract = {This paper presents two exploratory studies integrating physiological sensors in user testing for product development. The focus is on the use of eye-tracking glasses, and ECG sensors for heart rate activity. Participants, including professionals and untrained individuals, tested three different electrical connectors for domestic storage water heaters. The studies aimed to enrich knowledge about users and their context of use, validate if the solution integrates into their current usage practices, and reveal underlying cognitive processes that might be difficult for users to articulate. The first study involved a usage analysis with “expert” participants, while the second study compared usage patterns between experts and novices. The findings contribute to the understanding of how physiological sensors can be effectively used in user testing, offering valuable insights for the evaluation and development of new products.},\n\tlanguage = {en},\n\turldate = {2024-12-19},\n\tbooktitle = {2024 {IEEE} {International} {Conference} on {Engineering}, {Technology}, and {Innovation} ({ICE}/{ITMC})},\n\tpublisher = {IEEE},\n\tauthor = {Garces, Giovanny Arbelaez and Rose, Bertr},\n\tmonth = jun,\n\tyear = {2024},\n\tpages = {1--7},\n}\n\n\n\n

\n

\n This paper presents two exploratory studies integrating physiological sensors in user testing for product development. The focus is on the use of eye-tracking glasses, and ECG sensors for heart rate activity. Participants, including professionals and untrained individuals, tested three different electrical connectors for domestic storage water heaters. The studies aimed to enrich knowledge about users and their context of use, validate if the solution integrates into their current usage practices, and reveal underlying cognitive processes that might be difficult for users to articulate. The first study involved a usage analysis with “expert” participants, while the second study compared usage patterns between experts and novices. The findings contribute to the understanding of how physiological sensors can be effectively used in user testing, offering valuable insights for the evaluation and development of new products.\n

\n

@article{arbelaez_garces_tool_2024,\n\ttitle = {A tool for ergonomic assessment of industrial workplaces: the {Ergonom}.io case},\n\tcopyright = {All rights reserved},\n\tissn = {1955-2513, 1955-2505},\n\tshorttitle = {A tool for ergonomic assessment of industrial workplaces},\n\turl = {https://link.springer.com/10.1007/s12008-024-02159-5},\n\tdoi = {10.1007/s12008-024-02159-5},\n\tabstract = {The design of industrial workspaces is crucial in the present industrial context to maintain worker satisfaction, productivity, and safety. However, ergonomics and user behavior are frequently overlooked in traditional design processes. In this study, we propose a software tool for designing or improving industrial workstations with the user in mind thus reducing physical, effort and discomfort. Motion capture is employed to record operator movements, which may then be replayed on a virtual model of the workstation, allowing ergonomic modifications to be simulated. The proposed technology simplifies the building of a virtual scene by offering a library of typical industrial components, and incorporates morphological adaptation in the production of virtual avatars to make ergonomic assessments more realistic. The tool was tested in two industrial case studies: the first concerns a door assembly station for electrical enclosures where an ergonomic analysis is performed, and the second concerns a logistics operation station were the analysis, and the proposed solutions are simulated and assessed using the tool. The two studies show that performing an ergonomic analysis with real user gestures in a virtual model can facilitate the identification of solutions to enhance the final ergonomics of industrial workstations.},\n\tlanguage = {en},\n\turldate = {2024-11-13},\n\tjournal = {International Journal on Interactive Design and Manufacturing (IJIDeM)},\n\tauthor = {Arbelaez Garces, Giovanny and Rose, Bertrand and Blandet, Thierry and Rasovska, Ivana and Misslin, Quentin and Mathis, Romaric},\n\tmonth = nov,\n\tyear = {2024},\n}\n\n\n\n

\n

\n The design of industrial workspaces is crucial in the present industrial context to maintain worker satisfaction, productivity, and safety. However, ergonomics and user behavior are frequently overlooked in traditional design processes. In this study, we propose a software tool for designing or improving industrial workstations with the user in mind thus reducing physical, effort and discomfort. Motion capture is employed to record operator movements, which may then be replayed on a virtual model of the workstation, allowing ergonomic modifications to be simulated. The proposed technology simplifies the building of a virtual scene by offering a library of typical industrial components, and incorporates morphological adaptation in the production of virtual avatars to make ergonomic assessments more realistic. The tool was tested in two industrial case studies: the first concerns a door assembly station for electrical enclosures where an ergonomic analysis is performed, and the second concerns a logistics operation station were the analysis, and the proposed solutions are simulated and assessed using the tool. The two studies show that performing an ergonomic analysis with real user gestures in a virtual model can facilitate the identification of solutions to enhance the final ergonomics of industrial workstations.\n

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@inproceedings{marcos_medina_tabares_innovation_2023,\n\taddress = {Porto Alegre, Brazil},\n\ttitle = {{INNOVATION} {RESPONSIVENESS} {PERCEPTION} {OF} {FAB} {LABS}’ {MANAGERS} {AND} {USERS}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-65-00-80827-8},\n\tbooktitle = {{IAMOT} 2023},\n\tauthor = {{Marcos Medina Tabares} and {Ferney Osorio} and {Giovanny Arbelaez} and {Maria Elisa Balen} and {Fedoua Kasmi} and {Vincent Boly} and {Mauricio Camargo}},\n\tmonth = may,\n\tyear = {2023},\n}\n\n\n\n

\n

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@inproceedings{arbelaez_garces_ergonom.io:_2023,\n\ttitle = {Ergonom.io: {A} {Virtual} {Reality} tool for {Ergonomic} {Assessment} of {Industrial} {Workplaces}},\n\tcopyright = {All rights reserved},\n\tshorttitle = {Ergonom.io},\n\turl = {https://ieeexplore.ieee.org/document/10332431},\n\tdoi = {10.1109/ICE/ITMC58018.2023.10332431},\n\tabstract = {Ergonomics is an essential aspect of industrial design, as it can affect the safety, health, and productivity of workers. However, it can be challenging to assess and optimize ergonomic indicators during the design phase or during the improvement of current work settings. Traditional approaches rely on manual observations and feedback from operators, which can be time-consuming, subjective, and limited in scope. Virtual reality (VR) simulations offer a promising alternative, as they allow designers to visualize and test different workplace configurations in a controlled and immersive environment. In this paper, we present a tool that combines VR simulations with motion capture technology to generate real-time ergonomic indicators.},\n\turldate = {2023-12-08},\n\tbooktitle = {2023 {IEEE} {International} {Conference} on {Engineering}, {Technology} and {Innovation} ({ICE}/{ITMC})},\n\tauthor = {Arbelaez Garces, Giovanny and Rose, Bertrand and Blandet, Thierry and Rasovska, Ivana and Misslin, Quentin},\n\tmonth = jun,\n\tyear = {2023},\n\tnote = {ISSN: 2693-8855},\n\tpages = {1--6},\n}\n\n\n\n

\n

\n Ergonomics is an essential aspect of industrial design, as it can affect the safety, health, and productivity of workers. However, it can be challenging to assess and optimize ergonomic indicators during the design phase or during the improvement of current work settings. Traditional approaches rely on manual observations and feedback from operators, which can be time-consuming, subjective, and limited in scope. Virtual reality (VR) simulations offer a promising alternative, as they allow designers to visualize and test different workplace configurations in a controlled and immersive environment. In this paper, we present a tool that combines VR simulations with motion capture technology to generate real-time ergonomic indicators.\n

\n

@inproceedings{dupont_innovative_2023,\n\taddress = {Edinburgh, United Kingdom},\n\ttitle = {Innovative {User} {eXperience} approach for the design of a multi-sided platform},\n\tcopyright = {All rights reserved},\n\tisbn = {9798350315172},\n\turl = {https://ieeexplore.ieee.org/document/10332326/},\n\tdoi = {10.1109/ICE/ITMC58018.2023.10332326},\n\tabstract = {Industry 4.0 seeks both to digitalize SMEs and to bring companies closer to their market. One of the responses is the Do-it-together (DIT) concept, which combines co-creation, and open-manufacturing. This concept is transposed in the form of a physical and digital INEDIT demonstrator (EU project). This study analyses the design modalities of multimodal interfaces and multi-platform (web app, AR mobile app, VR app) supporting the DIT process. The study focuses on the realization of an original UX design protocol allowing to design and evaluate by use this potential “multi-sided” platform. The results allow us to better understand the modalities of implementation of such an approach mixing Action Research and Living Lab for industry. We can appreciate over time the commitment of the stakeholders and their ability to co-create such a platform. This work allows us to draw recommendations for the development of support technologies for socialmanufacturing and provides argument for a Multi-UX scale.},\n\tlanguage = {en},\n\turldate = {2023-12-08},\n\tbooktitle = {2023 {IEEE} {International} {Conference} on {Engineering}, {Technology} and {Innovation} ({ICE}/{ITMC})},\n\tpublisher = {IEEE},\n\tauthor = {Dupont, Laurent and Caceres, Cristian and Arbelaez, Giovanny and Fleury, Sylvain},\n\tmonth = jun,\n\tyear = {2023},\n\tpages = {1--13},\n}\n\n\n\n

\n

\n Industry 4.0 seeks both to digitalize SMEs and to bring companies closer to their market. One of the responses is the Do-it-together (DIT) concept, which combines co-creation, and open-manufacturing. This concept is transposed in the form of a physical and digital INEDIT demonstrator (EU project). This study analyses the design modalities of multimodal interfaces and multi-platform (web app, AR mobile app, VR app) supporting the DIT process. The study focuses on the realization of an original UX design protocol allowing to design and evaluate by use this potential “multi-sided” platform. The results allow us to better understand the modalities of implementation of such an approach mixing Action Research and Living Lab for industry. We can appreciate over time the commitment of the stakeholders and their ability to co-create such a platform. This work allows us to draw recommendations for the development of support technologies for socialmanufacturing and provides argument for a Multi-UX scale.\n

\n

@article{hily_evaluation_2023,\n\ttitle = {Evaluation and {Validation} {Process} of {Extended} {Reality} {Applications} {Developed} in an {Industrial} {Context}: {A} {Systematic} {Review}},\n\tvolume = {4},\n\tcopyright = {All rights reserved},\n\tissn = {2661-8907},\n\tshorttitle = {Evaluation and {Validation} {Process} of {Extended} {Reality} {Applications} {Developed} in an {Industrial} {Context}},\n\turl = {https://link.springer.com/10.1007/s42979-023-02089-1},\n\tdoi = {10.1007/s42979-023-02089-1},\n\tabstract = {Extended reality (XR) technologies are achieving greater diffusion thanks to the recent digital breakthroughs enabling users to interact and accomplish tasks within immersive environments (IEs). Applications are notably diversifying toward the industrial field, where the use of XR technologies is at the core of the transition toward Industry 4.0. However, despite their high potential, it seems the use of XR is not yet widespread in the industry. Because of the amount of effort and time required to develop a new immersive environment (IE), evaluating its relevance and effectiveness appears to be a paramount factor for a wider adoption of these technologies in the industry. Previous works have already investigated the roots of this slow adoption, but to the best of our knowledge none of them give a detailed overview of the specific and decisive stage of the evaluation of new IEs before a possible implementation. Through a detailed study of 101 scientific papers published between 2000 and early 2021, this work therefore intends to provide an overview of existing studies involving XR experience design, evaluation approaches, and materials to help identify the areas that could require more targeted research to improve the adoption of immersive technologies in the industry. To do so, we propose an analytical framework combining key factors to assess user-centered evaluation and perform a systematic literature review to establish the current status of these factors. Results show the variety of assessment methods used and the emergence of new physiological technologies over recent years. Constraints related to the user-centered evaluation methodology are also identified and discussed.},\n\tlanguage = {en},\n\tnumber = {5},\n\turldate = {2023-08-29},\n\tjournal = {SN Computer Science},\n\tauthor = {Hily, Anaëlle and Dupont, Laurent and Arbelaez-Garces, Giovanny and Camargo, Mauricio and Dinet, Jérôme},\n\tmonth = aug,\n\tyear = {2023},\n\tpages = {637},\n}\n\n\n\n

\n

\n Extended reality (XR) technologies are achieving greater diffusion thanks to the recent digital breakthroughs enabling users to interact and accomplish tasks within immersive environments (IEs). Applications are notably diversifying toward the industrial field, where the use of XR technologies is at the core of the transition toward Industry 4.0. However, despite their high potential, it seems the use of XR is not yet widespread in the industry. Because of the amount of effort and time required to develop a new immersive environment (IE), evaluating its relevance and effectiveness appears to be a paramount factor for a wider adoption of these technologies in the industry. Previous works have already investigated the roots of this slow adoption, but to the best of our knowledge none of them give a detailed overview of the specific and decisive stage of the evaluation of new IEs before a possible implementation. Through a detailed study of 101 scientific papers published between 2000 and early 2021, this work therefore intends to provide an overview of existing studies involving XR experience design, evaluation approaches, and materials to help identify the areas that could require more targeted research to improve the adoption of immersive technologies in the industry. To do so, we propose an analytical framework combining key factors to assess user-centered evaluation and perform a systematic literature review to establish the current status of these factors. Results show the variety of assessment methods used and the emergence of new physiological technologies over recent years. Constraints related to the user-centered evaluation methodology are also identified and discussed.\n

\n

@inproceedings{miranda-mellado_towards_2022,\n\ttitle = {Towards a {Protocol} for {Preference} {Evaluation} of {Cosmetic} {Products} {Using} {Physiological} {Sensors}},\n\tcopyright = {All rights reserved},\n\tdoi = {10.1109/ICE/ITMC-IAMOT55089.2022.10033174},\n\tabstract = {The evaluation of consumer preferences is a fundamental aspect for cosmetic products development and marketing. Consumer preferences are the result of sensory, emotional, and cognitive responses to products. They have been traditionally studied with sensorial evaluation methods which are time-consuming and are based only on the explicit responses of users and trained panels. Recently, with the evolution of the technology of physiological sensors, they have emerged as possible tools to study customer preferences from their physiological and non-conscious reactions. However, there is currently no standard protocol or application guide explaining how to use them for the evaluation of customer preferences for cosmetic products. In response to the above, this article presents the main factors to propose such a protocol. We present the steps, the decisions to be made, the criteria and some application guide for the selection of the appropriate evaluation methods and statistical analysis according to the goal of the consumer preferences study. A protocol is proposed and tested for a case study: the evaluation of consumer preferences over two cosmetic creams with different textures. As conclusions, physiological sensors give complementary information to surveys about the preferences of customers, because they enable to follow in real time their physiological reactions to the product. However, not all physiological sensors are equally applicable, and individual analysis of each signal may be inconclusive. It is recommended to study sensor signals and survey results in an integrated manner, overall considering that preferences are the result of a systemic complex process (sensory, physiological, emotional, conscious).},\n\tbooktitle = {2022 {IEEE} 28th {International} {Conference} on {Engineering}, {Technology} and {Innovation} ({ICE}/{ITMC}) \\& 31st {International} {Association} {For} {Management} of {Technology} ({IAMOT}) {Joint} {Conference}},\n\tauthor = {Miranda-Mellado, Javier and Serna, Juliana and Arbelaez-Garces, Giovanny and Arrieta-Escobar, Javier A. and SADTLER, Véronique and Kacha, Mathieu},\n\tmonth = jun,\n\tyear = {2022},\n\tpages = {1--8},\n}\n\n\n\n

\n

\n The evaluation of consumer preferences is a fundamental aspect for cosmetic products development and marketing. Consumer preferences are the result of sensory, emotional, and cognitive responses to products. They have been traditionally studied with sensorial evaluation methods which are time-consuming and are based only on the explicit responses of users and trained panels. Recently, with the evolution of the technology of physiological sensors, they have emerged as possible tools to study customer preferences from their physiological and non-conscious reactions. However, there is currently no standard protocol or application guide explaining how to use them for the evaluation of customer preferences for cosmetic products. In response to the above, this article presents the main factors to propose such a protocol. We present the steps, the decisions to be made, the criteria and some application guide for the selection of the appropriate evaluation methods and statistical analysis according to the goal of the consumer preferences study. A protocol is proposed and tested for a case study: the evaluation of consumer preferences over two cosmetic creams with different textures. As conclusions, physiological sensors give complementary information to surveys about the preferences of customers, because they enable to follow in real time their physiological reactions to the product. However, not all physiological sensors are equally applicable, and individual analysis of each signal may be inconclusive. It is recommended to study sensor signals and survey results in an integrated manner, overall considering that preferences are the result of a systemic complex process (sensory, physiological, emotional, conscious).\n

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@inproceedings{salas_digital_2021,\n\taddress = {25-26 March 2021, held online},\n\ttitle = {Digital {Collaborations} for the {Common} {Good}: {Key} {Learnings} from {Four} {Community} {Projects}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-88-7595-108-5},\n\turl = {https://designascommongood.ch},\n\tbooktitle = {Swiss {Design} {Network} {Symposium} 2021. {Design} as {Common} {Good}: {Framing} {Desing} through {Pluralism} and {Social} {Values}},\n\tpublisher = {SUPSI, HSLU, swissdesignnetwork},\n\tauthor = {Salas, Alejandro and Arbelaez, Giovanny and Osorio, Ferney and DUPONT, Laurent},\n\teditor = {Massimo Botta, Sabine Junginger},\n\tyear = {2021},\n\tpages = {494--505},\n}\n\n\n\n\n\n\n\n

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@inproceedings{ArbelaezGarces2020,\n\taddress = {Laval, France, 22-24 april},\n\ttitle = {Development of an {IMU}-based ergonomics assessment tool for virtual reality},\n\tcopyright = {All rights reserved},\n\turl = {https://ijvr.eu/article/view/3316},\n\tdoi = {10.20870/IJVR.2020...3316},\n\tbooktitle = {{ConVRgence} ({VRIC}) {Virtual} {Reality} {International} {Conference} {Proceedings}},\n\tauthor = {Arbelaez Garces, Giovanny and Michaux, Julien and Camargo, Mauricio and Ferveur, Nicolas},\n\teditor = {Richir, Simon},\n\tmonth = apr,\n\tyear = {2020},\n\tnote = {ISSN: 1081-1451},\n\tpages = {81--88},\n}\n\n\n\n

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@inproceedings{Martinez2020,\n\taddress = {Laval, France, 22-24 April},\n\ttitle = {Physiological assessment of {User} {eXprience} supported by {Immersive} {Environments} : {First} input from a literature review},\n\tcopyright = {All rights reserved},\n\tbooktitle = {{ConVRgence} ({VRIC}) {Virtual} {Reality} {International} {Conference}},\n\tauthor = {Martinez, Mariela and Arbelaez Garces, Giovanny and Dupont, Laurent and Hily, Anaëlle and Camargo, Mauricio and Jacob, Christel and Dinet, Jérôme},\n\teditor = {Richir, Simon},\n\tyear = {2020},\n\tpages = {89--108},\n}\n\n\n\n

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@inproceedings{ten_designing_2020,\n\taddress = {Cardiff, UK, 15-17 June},\n\ttitle = {Designing interactive museum visitors' experience using a {Fab} {Living} {Lab} platform: the {Museum}-{Aquarium} of {Nancy} case},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-72817-037-4},\n\turl = {https://ieeexplore.ieee.org/document/9198641/},\n\tdoi = {10.1109/ICE/ITMC49519.2020.9198641},\n\tbooktitle = {2020 {IEEE} {International} {Conference} on {Engineering}, {Technology} and {Innovation} ({ICE}/{ITMC})},\n\tpublisher = {IEEE},\n\tauthor = {Ten, Ievgeniia and Arbelaez-Garces, Giovanny and Dupont, Laurent},\n\tmonth = jun,\n\tyear = {2020},\n\tpages = {1--8},\n}\n\n\n\n

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@inproceedings{hily_reliability_2020,\n\taddress = {Laval, France, 22-24 April},\n\ttitle = {Reliability of virtual reality for user experience in spatial cognition : an exploratory approach},\n\tcopyright = {All rights reserved},\n\tdoi = {10.20870/IJVR.2020..3316>Reliability},\n\tbooktitle = {{ConVRgence} ({VRIC}) {Virtual} {Reality} {International} {Conference} 2020},\n\tauthor = {Hily, Anaëlle and Jacob, Christel and Dupont, Laurent and Arbelaez, Giovanny and Dinet, Jérôme and Camargo, Mauricio},\n\teditor = {Richir, Simon},\n\tyear = {2020},\n\tpages = {68--80},\n}\n\n\n\n

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@inproceedings{marie-rose_referential_2019,\n\taddress = {Valbonne Sophia-Antipolis, France, 17-19 June},\n\ttitle = {A referential framework for the choice of prototypes in the design phase of a mobile application},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-72813-401-7},\n\turl = {https://ieeexplore.ieee.org/document/8792568/},\n\tdoi = {10.1109/ICE.2019.8792568},\n\tbooktitle = {2019 {IEEE} {International} {Conference} on {Engineering}, {Technology} and {Innovation} ({ICE}/{ITMC})},\n\tpublisher = {IEEE},\n\tauthor = {Marie-Rose, Samuel and Arbelaez, Giovanny and Camargo, Mauricio},\n\tmonth = jun,\n\tyear = {2019},\n\tpages = {1--7},\n}\n\n\n\n

\n

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@article{Arbelaez-Garces2018,\n\ttitle = {Contribution to the objective assessment of technical skills for surgery students: {An} accelerometer based approach},\n\tvolume = {64},\n\tcopyright = {All rights reserved},\n\tissn = {01698141},\n\turl = {http://linkinghub.elsevier.com/retrieve/pii/S0169814117303244},\n\tdoi = {10.1016/j.ergon.2017.12.002},\n\tjournal = {International Journal of Industrial Ergonomics},\n\tauthor = {Arbelaez-Garces, Giovanny and Joseph, David and Camargo, Mauricio and Tran, Nguyen and Morel, Laure},\n\tmonth = mar,\n\tyear = {2018},\n\tnote = {Publisher: Elsevier B.V},\n\tpages = {79--88},\n}\n\n\n\n\n\n\n\n

\n

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@inproceedings{Albuquerque2018,\n\taddress = {Stuttgart, Germany, 17-20 June 2018},\n\ttitle = {Modelling, {Printing} and {Validation} of {Dental} {Dry} {Models} for {Implantology} {Skills} {Training}},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-5386-1469-3},\n\turl = {https://ieeexplore.ieee.org/document/8436302/},\n\tdoi = {10.1109/ICE.2018.8436302},\n\tbooktitle = {2018 {IEEE} {International} {Conference} on {Engineering}, {Technology} and {Innovation} ({ICE}/{ITMC})},\n\tpublisher = {IEEE},\n\tauthor = {Albuquerque, Ramses and Arbelaez, Giovanny and Cruz, Fabio and Camargo, Mauricio and Joseph, David and Tran, Nguyen},\n\tmonth = jun,\n\tyear = {2018},\n\tpages = {1--8},\n}\n\n\n\n

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@article{arbelaez_garces_new_2016,\n\ttitle = {New product acceptability evaluation and improvement model with knowledge reuse},\n\tvolume = {49},\n\tcopyright = {All rights reserved},\n\tissn = {24058963},\n\turl = {http://dx.doi.org/10.1016/j.ifacol.2016.07.639},\n\tdoi = {10.1016/j.ifacol.2016.07.639},\n\tabstract = {Evaluating and improving product acceptability is an important step to minimize the risk of a new product not being accepted. Existing approaches do not integrate any acceptability evaluation during the New Product Development process (NPD). They do not make it possible to evaluate different improvement scenarios built from experts knowledge or past projects experiences. This paper proposes a method that evaluates and improves product acceptability by allowing the project manager to find out an improvement scenario. The proposed method is based on the evaluation of the users’ concept perception. It exploits the inference properties of Bayesian networks (BN) allowing to make useful estimations of improvement scenarios. Furthermore, those scenarios are composed of actions that enable to improve different dimensions of users’ acceptability. The modeled actions are stocked in a knowledge base allowing this knowledge to be reused in other projects. The method is applied to the design case of a medical-stocking threading device in order to illustrate its interest.},\n\tnumber = {12},\n\tjournal = {IFAC-PapersOnLine},\n\tauthor = {Arbelaez Garces, Giovanny and Bonjour, Eric and Rakotondranaivo, Auguste},\n\tyear = {2016},\n\tnote = {Publisher: Elsevier B.V.},\n\tpages = {1104--1109},\n}\n\n\n\n

\n

\n Evaluating and improving product acceptability is an important step to minimize the risk of a new product not being accepted. Existing approaches do not integrate any acceptability evaluation during the New Product Development process (NPD). They do not make it possible to evaluate different improvement scenarios built from experts knowledge or past projects experiences. This paper proposes a method that evaluates and improves product acceptability by allowing the project manager to find out an improvement scenario. The proposed method is based on the evaluation of the users’ concept perception. It exploits the inference properties of Bayesian networks (BN) allowing to make useful estimations of improvement scenarios. Furthermore, those scenarios are composed of actions that enable to improve different dimensions of users’ acceptability. The modeled actions are stocked in a knowledge base allowing this knowledge to be reused in other projects. The method is applied to the design case of a medical-stocking threading device in order to illustrate its interest.\n

\n

@phdthesis{arbelaez_garces_integration_2016,\n\ttitle = {Intégration des préférences des parties prenantes et amélioration de l'acceptabilité lors du processus de co-conception : application au système de santé},\n\tcopyright = {All rights reserved},\n\tabstract = {Développer des produits mieux acceptés en intégrant les préférences des parties prenantes constitue un principal défi pour les concepteurs et les chefs de projet. Comment évaluer et améliorer l'acceptabilité des utilisateurs est devenu une importante question de recherche. Les approches actuelles laissent cette question pour les dernières étapes du processus de développement de nouveaux produits (NPD), quand un prototype est presque fini et quand c’est trop tard pour apporter des modifications. Pour cela nos travaux se déclinent dans les contributions suivantes : • Principes et démarches de co-conception testés au travers deux études de cas. • Démarche de co-adaptation de l'habitat pour le maintien à domicile. • Démarche d'évaluation du niveau d'acceptabilité d'une solution basée sur les réseaux bayésiens. • Démarche d'amélioration du niveau d'acceptabilité évalué, permettant la recherche et simulation de scénarios d'amélioration, combinant les réseaux bayésiens et un algorithme de recuit simulé. Les m},\n\tschool = {Université de Lorraine},\n\tauthor = {Arbelaez Garces, Giovanny},\n\tyear = {2016},\n}\n\n\n\n

\n

\n Développer des produits mieux acceptés en intégrant les préférences des parties prenantes constitue un principal défi pour les concepteurs et les chefs de projet. Comment évaluer et améliorer l'acceptabilité des utilisateurs est devenu une importante question de recherche. Les approches actuelles laissent cette question pour les dernières étapes du processus de développement de nouveaux produits (NPD), quand un prototype est presque fini et quand c’est trop tard pour apporter des modifications. Pour cela nos travaux se déclinent dans les contributions suivantes : • Principes et démarches de co-conception testés au travers deux études de cas. • Démarche de co-adaptation de l'habitat pour le maintien à domicile. • Démarche d'évaluation du niveau d'acceptabilité d'une solution basée sur les réseaux bayésiens. • Démarche d'amélioration du niveau d'acceptabilité évalué, permettant la recherche et simulation de scénarios d'amélioration, combinant les réseaux bayésiens et un algorithme de recuit simulé. Les m\n

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@article{ArbelaezGarces2016,\n\ttitle = {An acceptability estimation and analysis methodology based on {Bayesian} networks},\n\tvolume = {53},\n\tcopyright = {All rights reserved},\n\tissn = {01698141},\n\turl = {http://linkinghub.elsevier.com/retrieve/pii/S0169814116300099},\n\tdoi = {10.1016/j.ergon.2016.02.005},\n\tjournal = {International Journal of Industrial Ergonomics},\n\tauthor = {Arbelaez Garces, Giovanny and Rakotondranaivo, Auguste and Bonjour, Eric},\n\tmonth = may,\n\tyear = {2016},\n\tpages = {245--256},\n}\n\n\n\n

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@inproceedings{Parra2016,\n\taddress = {Trondheim, Norway},\n\ttitle = {Understanding {Museum} visitors’ experience through an {Eye}-tracking study and a {Living} {Lab} approach},\n\tcopyright = {All rights reserved},\n\tisbn = {978-1-5090-2935-8},\n\turl = {https://ieeexplore.ieee.org/document/9025900/},\n\tdoi = {10.1109/ICE/ITMC39735.2016.9025900},\n\tbooktitle = {2016 {International} {Conference} on {Engineering}, {Technology} and {Innovation}/{IEEE} lnternational {Technology} {Management} {Conference} ({ICE}/{ITMC})},\n\tpublisher = {IEEE},\n\tauthor = {Parra Morantes, Paola Patricia and Arbelaez, Giovanny and Camargo, Mauricio and Dupont, Laurent and Penarete, Sonia Andrea},\n\tmonth = jun,\n\tyear = {2016},\n\tpages = {1--6},\n}\n\n\n\n

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@article{arbelaez2016,\n\ttitle = {Improving users’ product acceptability: an approach based on {Bayesian} networks and a simulated annealing algorithm},\n\tvolume = {54},\n\tcopyright = {All rights reserved},\n\tissn = {0020-7543},\n\turl = {http://www.tandfonline.com/doi/full/10.1080/00207543.2016.1156183},\n\tdoi = {10.1080/00207543.2016.1156183},\n\tnumber = {17},\n\tjournal = {International Journal of Production Research},\n\tauthor = {Arbelaez Garces, Giovanny and Rakotondranaivo, Auguste and Bonjour, Eric},\n\tmonth = sep,\n\tyear = {2016},\n\tnote = {Publisher: Taylor \\& Francis},\n\tpages = {5151--5168},\n}\n\n\n\n

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@incollection{Arbelaez-Garces2015,\n\ttitle = {Mesurer l'acceptabilité d'un nouveau produit},\n\tcopyright = {All rights reserved},\n\tisbn = {978-2-8143-0262-4},\n\tbooktitle = {Mesurer l'innovation en entreprise : {Un} levier essentiel pour la réussite des projets innovants},\n\tpublisher = {Presses universitaires de Nancy},\n\tauthor = {Arbelaez-Garces, Giovanny and Bonjour, Eric and Rakotondranaivo, Auguste},\n\teditor = {Camargo, Mauricio and Boly, Vincent and Morel, Laure},\n\tyear = {2015},\n\tpages = {151--174},\n}\n\n\n\n

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@inproceedings{Arbelaez-garces2014a,\n\taddress = {Liege, 7-9 Juillet},\n\ttitle = {Conception innovante en santé: revue de la littérature et cadre conceptuel pour évaluer l’acceptabilité},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Conférence {Gestion} et {Ingénierie} des {Systèmes} {Hospitaliers} {GISEH}'14},\n\tauthor = {Arbelaez-garces, Giovanny and Rakotondranaivo, Auguste and Bonjour, Eric},\n\tyear = {2014},\n\tpages = {1--9},\n}\n\n\n\n

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@inproceedings{Arbelaez-garces2014,\n\taddress = {Nancy, 16 Janvier},\n\ttitle = {Évaluation de l'acceptabilité lors de l'introduction des innovations dans les sytèmes de santé},\n\tcopyright = {All rights reserved},\n\tisbn = {978-2-9541008-2-1},\n\tbooktitle = {Séminaire de l'école doctoral {RP2E}},\n\tauthor = {Arbelaez-garces, Giovanny and Bonjour, Eric and Rakotondranaivo, Auguste},\n\tyear = {2014},\n\tpages = {17--25},\n}\n\n\n\n

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@article{Arbelaez-Garces2014,\n\ttitle = {Towards a method for acceptability analysis : application to healthcare innovation},\n\tcopyright = {All rights reserved},\n\tshorttitle = {Engineering, {Technology} and {Innovation} ({ICE}), 2014},\n\turl = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6871583},\n\tdoi = {10.1109/ICE.2014.6871583},\n\tabstract = {The healthcare field, as many others, has the imperative to innovate in order to face its multiple performance and societal problems. Innovations should not only respond to users' needs, but they also have to meet other technological and contextual factors to be successfully integrated and diffused. Acceptability evaluation should allow designers to anticipate and act accordingly to avoid project risks. However, the current literature lacks of models allowing an earlier awareness of those factors. This paper reports on the development of a method for acceptability evaluation that allows guiding the design of product and services in healthcare. A framework for acceptability evaluation is presented. A home healthcare technology case study is used to illustrate the application of the method.},\n\turldate = {2014-09-23},\n\tjournal = {2014 International Conference on Engineering, Technology and Innovation (ICE)},\n\tauthor = {Arbelaez-garces, Giovanny and Bonjour, Eric and Rakotondranaivo, Auguste},\n\tmonth = jun,\n\tyear = {2014},\n\tnote = {Publisher: IEEE\nISBN: 9781479947355},\n\tpages = {1--6},\n}\n

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\n The healthcare field, as many others, has the imperative to innovate in order to face its multiple performance and societal problems. Innovations should not only respond to users' needs, but they also have to meet other technological and contextual factors to be successfully integrated and diffused. Acceptability evaluation should allow designers to anticipate and act accordingly to avoid project risks. However, the current literature lacks of models allowing an earlier awareness of those factors. This paper reports on the development of a method for acceptability evaluation that allows guiding the design of product and services in healthcare. A framework for acceptability evaluation is presented. A home healthcare technology case study is used to illustrate the application of the method.\n

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@inproceedings{Darwich2012,\n\taddress = {San Servolo, Venise},\n\ttitle = {Formalisation du processus de conception basée sur les traces},\n\tcopyright = {All rights reserved},\n\tbooktitle = {Confere},\n\tauthor = {Darwich, Hind and Arbelaez, Giovanny and Monticolo, Davy and Bonjour, Eric},\n\tyear = {2012},\n\tpages = {1--7},\n}\n\n\n\n

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