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AnyMApp Framework: Anonymous Digital Twin Human-App Interactions

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HCI International 2022 - Late Breaking Papers. Design, User Experience and Interaction (HCII 2022)

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Abstract

As technology is more than ever part of everyday life and activities, their benefits and potential have to be optimized. Currently, this is not happening and technology adherence and continued use is very low. We need to have simple but clear means to understand why that is so and what needs to be done to improve it close to the technology itself and its users. This work introduces AnyMApp, an anonymous digital twin human-app interactions framework to provide online anonymous testing of mock-up applications. These applications may or may not exist and even be in different stages of their deployment. The main goal of AnyMApp is to provide an easy, online way to collect data from users’ interactions with the application and complement these with questions to the user regarding contextual, demographic and domain specific. Collected data will be used to quickly detect usability and interactional problems but can also be used to explore relations between humans and technology, and identify experiences and behavioural patterns of the target population.

R. Chilro—Independent Researcher.

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Acknowledgements

This work is financed by project AnyMApp - Anonymous Digital Twin for Human-App Interactions (EXPL/CCI-COM/0052/2021) (FCT – Fundação para a Ciência e Tecnologia).

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Authors and Affiliations

  1. CINTESIS@RISE, MEDCIDS, Faculty of Medicine, University of Porto, Rua Plácido Costa, 4200-450, Porto, Portugal

    Ana Ferreira & Ricardo Cruz-Correia

  2. Porto, Portugal

    Rui Chilro

Authors
  1. Ana Ferreira
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  2. Rui Chilro
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  3. Ricardo Cruz-Correia
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Corresponding author

Correspondence to Ana Ferreira .

Editor information

Editors and Affiliations

  1. The Open University of Japan, Chiba, Japan

    Masaaki Kurosu

  2. Tokyo University of Science, Tokyo, Saitama, Japan

    Sakae Yamamoto

  3. Tokyo City University, Tokyo, Japan

    Hirohiko Mori

  4. Southern University of Science and Technology, Shenzhen, China

    Marcelo M. Soares

  5. World Usability Day and Bubble Mountain Consulting, Newton Center, MA, USA

    Elizabeth Rosenzweig

  6. Aaron Marcus and Associates, Berkeley, CA, USA

    Aaron Marcus

  7. Tsinghua University, Beijing, China

    Pei-Luen Patrick Rau

  8. Coventry University, Coventry, UK

    Don Harris

  9. Cranfield University, Cranfield, UK

    Wen-Chin Li

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Ferreira, A., Chilro, R., Cruz-Correia, R. (2022). AnyMApp Framework: Anonymous Digital Twin Human-App Interactions. In: Kurosu, M., et al. HCI International 2022 - Late Breaking Papers. Design, User Experience and Interaction. HCII 2022. Lecture Notes in Computer Science, vol 13516. Springer, Cham. https://doi.org/10.1007/978-3-031-17615-9_15

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  • DOI: https://doi.org/10.1007/978-3-031-17615-9_15

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  • Online ISBN: 978-3-031-17615-9

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