Demands on more transparency of the backbox nature of machine learning models have led to the recent rise of human-in-the-loop in machine learning, i.e. processes that integrate humans in the training and application of machine learning models. The present work argues that this process requirement does not represent an obstacle but an opportunity to optimize the design process. Hence, this work proposes a new process framework, Human-in-the-loop Design Cycles – a design process that integrates the structural elements of agile and design thinking process, and controls the training of a machine learning model by the human in the loop. The Human-in-the-loop Design Cycles process replaces the qualitative user testing by a quantitative psychometric measurement instrument for design perception. The generated user feedback serves to train a machine learning model and to instruct the subsequent design cycle along four design dimensions (novelty, energy, simplicity, tool). Mapping the four-dimensional user feedback into user stories and priorities, the design sprint thus transforms the user feedback directly into the implementation process. The human in the loop is a quality engineer who scrutinizes the collected user feedback to prevent invalid data to enter machine learning model training.
|Title of host publication||Artificial Intelligence in HCI - 1st International Conference, AI-HCI 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings|
|Editors||Helmut Degen, Lauren Reinerman-Jones|
|Number of pages||10|
|Publication status||Published - 2020|
|Event||1st International Conference on Artificial Intelligence in HCI, AI-HCI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark|
Duration: 2020 Jul 19 → 2020 Jul 24
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||1st International Conference on Artificial Intelligence in HCI, AI-HCI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020|
|Period||20/7/19 → 20/7/24|
Bibliographical noteFunding Information:
Acknowledgment. This research was supported by the Yonsei University Faculty Research Fund of 2019-22-0199.
© Springer Nature Switzerland AG 2020.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)