The Novelty Effect in Large Display Deployments – Experiences and Lessons-Learned for Evaluating Prototypes
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This exploratory paper addresses the novelty effect in large display field deployments by combining findings from both the existing body of knowledge and our own research. We found that the novelty effect is prevalently present on two occasions: (a) immediately after a new system is deployed in a new environment, and (b) in reoccurring situations, when changes are made to an existing system. Both instances share similarities such as a system’s higher usage during a particular time frame. However, we also observed that their individual reasons to occur are multifaceted. The present work’s main contribution is twofold. Firstly, the paper outlines related literature regarding the novelty effect, particularly in CSCW and HCI. Secondly, the paper illustrates the effect’s complex nature and suggests explicit means that should be considered in related research endeavors.
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Number of citations to item: 13
- Minji Yun, Kent J. Crippen (2024): Computational Thinking Integration into Pre-Service Science Teacher Education: A Systematic Review, In: Journal of Science Teacher Education 2(36), doi:10.1080/1046560x.2024.2390758
- Hunhui Na, Saeyan Yun (2024): The effect of augmented reality on K-12 students’ motivation: a meta-analysis, In: Educational technology research and development 6(72), doi:10.1007/s11423-024-10385-7
- Miguel Ribeiro, Nuno Nunes, Marta Ferreira, João Nogueira, Johannes Schöning, Valentina Nisi (2021): Addressing the Challenges of COVID-19 Social Distancing Through Passive Wi-Fi and Ubiquitous Analytics: A Real World Deployment, In: Lecture Notes in Computer Science, doi:10.1007/978-3-030-85616-8_1
- Donya Sheikh Khan, Jakub Kolarik, Peter Weitzmann (2021): Occupants’ Interaction With an Occupant Voting System for Thermal and Indoor Air Quality Feedback – Case Studies in Office Spaces, In: Frontiers in Built Environment, doi:10.3389/fbuil.2021.643630
- Lawrence Van den Bogaert, Isa Rutten, David Geerts (2021): Augmenting Gestural Interactions with Mid-Air Haptic Feedback: A Case Study of Mixed-Method Longitudinal UX-Testing in the Lab, In: Human–Computer Interaction Series, doi:10.1007/978-3-030-67322-2_10
- Miguel Melo, Guilherme Gonçalves, josé Vasconcelos-Raposo, Maximino Bessa (2023): How Much Presence is Enough? Qualitative Scales for Interpreting the Igroup Presence Questionnaire Score, In: IEEE Access, doi:10.1109/access.2023.3254892
- Ahmed Anwar, Tianzheng Shi, Oliver Schneider (2023): Factors of Haptic Experience across Multiple Haptic Modalities, In: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3544548.3581514
- Aline Ollevier, Gabriel Aguiar, Marco Palomino, Ingeborg Sylvia Simpelaere (2020): How can technology support ageing in place in healthy older adults? A systematic review, In: Public Health Reviews 1(41), doi:10.1186/s40985-020-00143-4
- Douglas A. Gentile, El-Lim Kim (2024): Comparing Virtual Reality, Video, and Audio-Guided Meditations in Fostering Positive Attitudes toward Meditation, In: Mindfulness 3(15), doi:10.1007/s12671-024-02311-y
- Ming-Hsiang Tsou, Christian Mejia (2023): Beyond mapping: extend the role of cartographers to user interface designers in the Metaverse using virtual reality, augmented reality, and mixed reality, In: Cartography and Geographic Information Science 5(51), doi:10.1080/15230406.2023.2264748
- Isa Rutten, David Geerts (2020): Better Because It's New, In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3313831.3376668
- Dorothy Cooshna-Naik, Linda Van Laren, Claudia Mitchell (2023): Multimodal Assessment in Higher Education, In: Advances in Educational Technologies and Instructional Design, doi:10.4018/978-1-6684-4940-0.ch003
- Georgios Angelopoulos, Carmine Di Martino, Alessandra Rossi, Silvia Rossi (2023): Unveiling the Learning Curve: Enhancing Transparency in Robot’s Learning with Inner Speech and Emotions, In: 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), doi:10.1109/ro-man57019.2023.10309352