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prof. S. Ben Allouch (Somaya)

Professor Digital Life (AUAS) & Professor 'Human-System Interaction for Health & Wellbeing' (University of Amsterdam))
Somaya Ben Allouch
Telephone:
0618424275
Email:
s.ben.allouch@hva.nl
Work address:
Benno Premselahuis, Rhijnspoorplein 1, 1091 GC Amsterdam
, Theo Thijssenhuis, Wibautstraat 2-4 1091 GM Amsterdam
Postal address:
Postbus 23,1000 AA Amsterdam
Personal website:
Lectoraat Digital Life / Hogeschool van Amsterdam
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Dr Somaya Ben Allouch is leading the Digital Life Research Group since October 2018. This group is part of the Knowledge Center of the Faculty of Digital Media and Creative Industry (FDMCI). The mission of Digital Life is to conduct applied research into the design, development, use, implementation, and evaluation of digital technology within the health & wellbeing domain from a human perspective.

In addition, Somaya is working on the SIA-SPRONG project Mensen in Beweging (People on the Move). In this project, researchers are looking at healthy nutrition and exercise for vulnerable groups in combination with sustainable behavioural influencing using creative technology.

The research expertise of Somaya Ben Allouch involves human-centred interaction, acceptance, (long term) use and evaluation of technologies. Specifically, social robotics, ubiquitous technologies, assistive technologies and wearables.

She has been working from 2002 to 2014 at the University of Twente (The Netherlands) where she obtained her PhD in 2008 focusing on the development, acceptance and use of ambient intelligent technologies. Furthermore Somaya Ben Allouch has been a visiting researcher at the Ambient Intelligence Research Lab of Stanford University in 2011 and 2012.

Somaya Ben Allouch is a member of the editorial board of the Journal of Ambient Intelligence and Smart Environments and guest editor for journals such as the journal of Social Robotics and the Journal of Distributed Sensor Networks. Besides, she is involved in various (inter)national competitively third-party funded research projects and supervises different PhD projects.

  • Trust in Clinical AI: Expanding the Unit of Analysis
    Browne, J. T., Bakker, S., Yu, B., Lloyd, P., & Ben Allouch, S. (2022). Trust in Clinical AI: Expanding the Unit of Analysis. Paper presented at 1st International Conference on Hybrid Human-Artificial Intelligence, Amsterdam, Netherlands. https://www.hhai-conference.org/accepted-papers/
  • Developing an Intelligent Environment to Support People with Early-Stage Dementia: from User-Needs to a Real-Life Prototype
    Grave, A., Robben, S., Oey, M., Ben Allouch, S., & Mohammadi, M. (2022). Developing an Intelligent Environment to Support People with Early-Stage Dementia: from User-Needs to a Real-Life Prototype. Applied Human Informatics: Open Journal of the Academy of Human Informatics, 4(1), 1-18. https://doi.org/10.14865/ahi.4.1.1
  • ‘That is a place where I would want to go’: investigating digital nature to enhance social wellbeing among older adults
    van Houwelingen-Snippe, J., Ben Allouch, S., & van Rompay, T. J. L. (2022). ‘That is a place where I would want to go’: investigating digital nature to enhance social wellbeing among older adults. Ageing & Society, 1-24. https://doi.org/10.1017/S0144686X2100177X
  • AI and the Conditions of Design: Towards A New Set of Design Ideals
    Giaccardi, E., Speed, C., Redstrom, J., Ben Allouch, S., & Shklovski, I. (2022). AI and the Conditions of Design: Towards A New Set of Design Ideals: DRS Biennal Conference Series , DRS Digital Library , Bilbao . In DRS 2022 (pp. 1-9). https://doi.org/https://dl.designresearchsociety.org/conference-volumes/56/
  • Software Design Document MiB-platform
    van der Bie, J. H. F., Bondietti, S., Oey, M. A., & Ben Allouch, S. (2021). Software Design Document MiB-platform: Technical description of the MiB-platform implementation.
  • Virtual Reality Representations of Nature to Improve Well-Being amongst Older Adults: a Rapid Review
    Van Houwelingen-Snippe, J., Ben Allouch, S., & Van Rompay, T. J. L. (2021). Virtual Reality Representations of Nature to Improve Well-Being amongst Older Adults: a Rapid Review. Journal of Technology in Behavioral Science, 6(3), 464-485. https://doi.org/10.1007/s41347-021-00195-6
  • Behoeftes rondom (beweeg)activiteiten bij ouderen in tijden van Corona
    Nauta, B., Kanis, M., Visser, B., Ben Allouch, S., & Bossen, D. (2021). Behoeftes rondom (beweeg)activiteiten bij ouderen in tijden van Corona: Contextuele informatie inwinnen over behoeftes rondom bewegen, activiteiten en technologie bij ouderen met een co-creatieve toolkit op afstand. Nederlands Tijdschrift voor Oefentherapie, 2021(2), 26-31. https://www.digitallifecentre.nl/redactie/resources/publicatientvobehoeftesrondombeweegactiviteitbijouderenincoronatijd-2.pdf
  • The relevance of diet, physical activity, exercise, and persuasive technology in the prevention and treatment of sarcopenic obesity in older adults
    Schoufour, J. D., Tieland, M., Barazzoni, R., Ben Allouch, S., van der Bie, J., Boirie, Y., Cruz-Jentoft, A. J., Eglseer, D., Topinková, E., Visser, B., Voortman, T., Tsagari, A., & Weijs, P. J. M. (2021). The relevance of diet, physical activity, exercise, and persuasive technology in the prevention and treatment of sarcopenic obesity in older adults. Frontiers in Nutrition, 8, [661449]. https://doi.org/10.3389/fnut.2021.661449
  • New approaches for participation in digital society in distant times of COVID-19
    Kanis, M., van der Bie, J., Nauta, B., den Dunnen, M., & Ben Allouch, S. (2021). New approaches for participation in digital society in distant times of COVID-19: sharing challenges and opportunities from the professional field in support of physical closeness and digital engagement for public wellbeing. Paper presented at CHI 2021 conference on Human Factors in Computing Systems, Yokohama, Japan.
  • Education and training of nurses in the use of advanced medical technologies in home care related to patient safety: A cross-sectional survey
    ten Haken, I., Ben Allouch, S., & van Harten, W. H. (2021). Education and training of nurses in the use of advanced medical technologies in home care related to patient safety: A cross-sectional survey. Nurse Education Today, 100, 1-8. [104813]. https://doi.org/10.1016/j.nedt.2021.104813
  • Acceptance of Technologies for Aging in Place: A Conceptual Model
    Jaschinski, C., Ben Allouch, S., Peters, O., Cachucho, R., & van Dijk, J. A. G. M. (2021). Acceptance of Technologies for Aging in Place: A Conceptual Model. Journal of Medical Internet Research, 23(3), [e22613]. https://doi.org/10.2196/22613
  • Educating the next generation of urban interaction designers
    Ruyg, M., de Waal, M., Ben Allouch, S., Nachtigall, T., & Neumann, A. (2021). Educating the next generation of urban interaction designers. In K. Barnard, M. Ruyg, & M. de Waal (Eds.), Towards media architecture (pp. 9-15). Amsterdam University of Applied Sciences; Media Architecture Institute.
  • Reporting incidents involving the use of advanced medical technologies by nurses in home care
    ten Haken, I., Ben Allouch, S., & Van Harten, W. H. (2021). Reporting incidents involving the use of advanced medical technologies by nurses in home care: a cross-sectional survey and an analysis of registration data. BMJ Quality and Safety, 30(5), 380-387. https://doi.org/10.1136/bmjqs-2019-010510
  • Requirement elicitation and prototype development of an intelligent environment to support people with early dementia
    Grave, A., Robben, S., Oey, M., Ben Allouch, S., & Mohammadi, M. (2021). Requirement elicitation and prototype development of an intelligent environment to support people with early dementia. In 2021 17th International Conference on Intelligent Environments, IE 2021 - Proceedings [9486462] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IE51775.2021.9486462
  • Feeling connected after experiencing digital nature
    van Houwelingen-Snippe, J., van Rompay, T. J. L., & Ben Allouch, S. (2020). Feeling connected after experiencing digital nature: a survey study. International Journal of Environmental Research and Public Health, 17(18), [6879]. https://doi.org/10.3390/ijerph17186879
  • Outpatient smoking cessation: preliminary findings of a non-inferiority RCT comparing blended with face-to-face delivery mode
    Siemer, L., Pieterse, M. E., Ben Allouch, S., Postel, M. G., Sanderman, R., & Brusse-Keizer, M. (2020). Outpatient smoking cessation: preliminary findings of a non-inferiority RCT comparing blended with face-to-face delivery mode. The European respiratory journal, 56. https://doi.org/10.1183/13993003.congress-2020.4385
  • On-line showcase Co-Well
    Kanis, M. (Developer), van der Bie, J. H. F. (Other), Ben Allouch, S. (Other), Bogers, L. (Other), & van Ulzen, N. R. (Photographer). (2020). On-line showcase Co-Well: Exploring new ways of doing research, being creative, connected and happy in the new 'normal'. Manuscript submitted for publication. Digital or Visual Products, Hogeschool van Amsterdam. https://www.digitallifecentre.nl/projecten/co-well-co-creatieve-methoden-voor-welzijn-op-afstand
  • Introduction to the Special Issue on the Mutual Shaping of Human-Robot Interaction
    Ben Allouch, S., de Graaf, M., & Sabanovic, S. (2020). Introduction to the Special Issue on the Mutual Shaping of Human-Robot Interaction. INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS. https://doi.org/10.1007/s12369-020-00681-6
  • Adherence to blended or face-to-face smoking cessation treatment and predictors of adherence
    Siemer, L., Brusse-Keizer, M. G. J., Postel, M. G., Ben Allouch, S., Sanderman, R., & Pieterse, M. E. (2020). Adherence to blended or face-to-face smoking cessation treatment and predictors of adherence: randomized controlled trial. Journal of Medical Internet Research, 22(7), [e17207]. https://doi.org/10.2196/17207
  • Social Robots for Elderly Care
    Ben Allouch, S., & van Velsen, L. (2020). Social Robots for Elderly Care: an inventory of promising use cases and business models. Studies in Health Technology and Informatics, 270, 1046-1050. https://doi.org/10.3233/SHTI200321
  • Alcohol avoidance training as a mobile app for problem drinkers
    Laurens, M. C., Pieterse, M. E., Brusse-Keizer, M., Salemink, E., Ben Allouch, S., Bohlmeijer, E. T., & Postel, M. G. (2020). Alcohol avoidance training as a mobile app for problem drinkers: longitudinal feasibility study. JMIR mHealth and uHealth, 8(4), [e16217]. https://doi.org/10.2196/16217
  • Does digital nature enhance social aspirations?
    van Houwelingen-Snippe, J., van Rompay, T. J. L., de Jong, M. D. T., & Allouch, S. B. (2020). Does digital nature enhance social aspirations? an experimental study. International Journal of Environmental Research and Public Health, 17(4), [1454]. https://doi.org/10.3390/ijerph17041454
  • Shaping digital life:technology that cares
    Ben Allouch, S. (2020). Shaping digital life:technology that cares. Hogeschool van Amsterdam.
  • The influence of privacy on the acceptance of technologies for assisted living
    Jaschinski, C., Ben Allouch, S., Peters, O., & van Dijk, J. (2020). The influence of privacy on the acceptance of technologies for assisted living. In Q. Gao, & J. Zhou (Eds.), Human aspects of IT for the aged population. Healthy and active aging: 6th International Conference, ITAP 2020, held as part of the 22nd HCI International Conference, HCII 2020, Proceedings (pp. 463-473). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12208 LNCS). Springer. https://doi.org/10.1007/978-3-030-50249-2_33
  • Lessons learned from co-creating a personal wayfinding app with people with a visual impairment
    van der Bie, J., Jaschinski, C., & Ben Allouch, S. (2020). Lessons learned from co-creating a personal wayfinding app with people with a visual impairment. In K. Christer, C. Craig, & P. Chamberlain (Eds.), Proceedings of the 6th International Conference on Design4Health, Amsterdam, 2020. (Vol. 4, pp. 34-42). Lab4Living. https://doi.org/10.21943/auas.12988451
  • Communicating multimodal wayfinding messages for visually impaired people via wearables
    van der Bie, J., Ben Allouch, S., & Jaschinski, C. (2019). Communicating multimodal wayfinding messages for visually impaired people via wearables. In MobileHCI '19: proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (pp. 1-7). (Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services). Association for Computing Machinery. https://doi.org/10.1145/3338286.3344419
  • Bots in de zorg: hoe kunnen sociale robots bijdragen aan betere zorg?
    Ben Allouch, S., & van Velsen, L. (2019). Bots in de zorg: hoe kunnen sociale robots bijdragen aan betere zorg? Tijdschrift voor Human Factors, 44(3), 16-19. http://www.digitallifecentre.nl/download/?file=bots-in-de-zorg-human-factorssomayabenallouch.pdf
  • Sidewalk, a wayfinding message syntax for people with a visual impairment
    van der Bie, J., Jaschinski, C., & Ben Allouch, S. (2019). Sidewalk, a wayfinding message syntax for people with a visual impairment. In J. P. Bigham, S. Azenkot, & S. K. Kane (Eds.), ASSETS '19: the 21st International ACM SIGACCESS Conference on Computers and Accessibility (pp. 609-611). The Association for Computing Machinery. https://doi.org/10.1145/3308561.3354625
  • A Theoretical Framework to Study Long-term Use of Smart Eyewear
    Zuidhof, N., Ben Allouch, S., Peters, O., & Verbeek, P-P. (2019). A Theoretical Framework to Study Long-term Use of Smart Eyewear. In Ubicomp/ISWC'19 Association for Computing Machinery. https://doi.org/10.1145/3341162.3348382
  • The development and implementation of a mobile application in human services
    Ben Allouch, S., & Boonstra, J. (2019). The development and implementation of a mobile application in human services. Journal of Technology in Human Services, 37(2-3), 159-183. https://doi.org/10.1080/15228835.2019.1626788
  • Why Would I Use This in My Home? A Model of Domestic Social Robot Acceptance
    de Graaf, M. M. A., Ben Allouch, S., & van Dijk, J. A. G. M. (2019). Why Would I Use This in My Home? A Model of Domestic Social Robot Acceptance. Human-Computer Interaction, 34(2), 115-173. https://doi.org/10.1080/07370024.2017.1312406
  • Anticipated Acceptance of Head Mounted Displays
    Zuidhof, N., Allouch, S. B., Peters, O., & Verbeek, P. P. (2019). Anticipated Acceptance of Head Mounted Displays: A content analysis of YouTube comments. In 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 (pp. 399-402). [8730658] (2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PERCOMW.2019.8730658
  • Listening to the ones who care
    Jaschinski, C., & Ben Allouch, S. (2019). Listening to the ones who care: exploring the perceptions of informal caregivers towards ambient assisted living applications. Journal of Ambient Intelligence and Humanized Computing, 10(2), 761-778. https://doi.org/10.1007/s12652-018-0856-6
  • Blended face-to-face and web-based smoking cessation treatment (BSCT)
    Siemer, L., Ben Allouch, S., Pieterse, M. E., Brusse-Keizer, M., Sanderman, R., & Postel, M. G. (2019). Blended face-to-face and web-based smoking cessation treatment (BSCT): a description of patients' user experience (UX). The European respiratory journal, 54(suppl 63). https://doi.org/10.1183/13993003.congress-2019.PA1690
  • Exploring the preferences for anticipated use of head-mounted displays
    Zuidhof, N., & Ben Allouch, S. (2019). Exploring the preferences for anticipated use of head-mounted displays. Internationsl Journal of Mobile Human Computer Interaction, 11(4), 40-48. https://doi.org/10.4018/IJMHCI.2019100104
  • The Internet-of-Things: Reflections on the past, present and future from a user-centered and smart environment perspective
    Chin, J., Callaghan, V., & Ben Allouch, S. (2019). The Internet-of-Things: Reflections on the past, present and future from a user-centered and smart environment perspective. Journal of Ambient Intelligence and Smart Environments, 11(1), 45-69. https://doi.org/10.3233/AIS-180506
  • A phased framework for long-term user acceptance of interactive technology in domestic environments
    de Graaf, M. MA., Ben Allouch, S., & van Dijk, J. AGM. (2018). A phased framework for long-term user acceptance of interactive technology in domestic environments. New Media and Society, 20(7), 2582-2603. https://doi.org/10.1177/1461444817727264
  • Identification of users for a smoking cessation mobile app
    Chevalking, S. K. L., Ben Allouch, S., Brusse-Keizer, M., Postel, M. G., & Pieterse, M. E. (2018). Identification of users for a smoking cessation mobile app: quantitative study. Journal of Medical Internet Research, 20(4), e118. https://doi.org/10.2196/jmir.7606
  • Augmenting outpatient alcohol treatment as usual with online alcohol avoidance training
    Bratti-van der Werf, M. K. J., Laurens, M. C., Postel, M. G., Pieterse, M. E., Ben Allouch, S., Wiers, R. W., Bohlmeijer, E. T., & Salemink, E. (2018). Augmenting outpatient alcohol treatment as usual with online alcohol avoidance training: protocol for a double-blind randomized controlled trial. Journal of Medical Internet Research, 7(3), [e55]. https://doi.org/10.2196/resprot.9287
  • The use of advanced medical technologies at home
    Ten Haken, I., Ben Allouch, S., & Van Harten, W. H. (2018). The use of advanced medical technologies at home: a systematic review of the literature. BMC Public Health, 18(1), [284]. https://doi.org/10.1186/s12889-018-5123-4
  • Study protocol for a non-inferiority trial of a blended smoking cessation treatment versus face-to-face treatment (LiveSmokefree-Study)
    Siemer, L., Pieterse, M. E., Brusse-Keizer, M. G. J., Postel, M. G., Ben Allouch, S., & Sanderman, R. (2016). Study protocol for a non-inferiority trial of a blended smoking cessation treatment versus face-to-face treatment (LiveSmokefree-Study). BMC Public Health, 16(1), 1187. https://doi.org/10.1186/s12889-016-3851-x
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