The workshop intends to bring together a group of design and HCI researchers around the topic of User Experience (UX) of the Interactive Machine Learning (IML). In this workshop we invite researchers to reflect upon the various factors that influence the User Experience and user engagement with the Interactive Machine Learning system as a changing and intelligent system which is able to learn and be trained.

Among the factors that are likely to have an influence on the user experience we would like to spark discussion around (not limited to) the following categories:

1. Artifact related experiences. Artifact related factors include the explicit use and interactions of different forms of devices, such as: user interface (e.g. personal mobile phone, stationary interactive tablet), or physical object (e.g. push button) or interaction without an interface (e.g. gestures, voice).

2. Context dependent user experiences: Diverse environmental factors also inform and shape User Experiences of IML. Such factors include location, environment lighting, the size and the purpose of the space (i.e. a meeting room, classroom, etc.). Likewise are time-related factors, which include: time of the day (e.g. morning, afternoon), activity of the time (e.g., reading, meeting), time of the notification when model asks for input in ActiveLearning, the user’s temporal delay to answer and label data.

3. Human and/vs Machine epistemologies related experiences: Humans and machines encounter data and process it into information and meaning in different ways, with neither side fully understanding the other. This state of affairs has implications for privacy, trust and ownership.

4. Collaborative user experiences: We are also concerned with collaboration and democratic participation between users and ML models, and how the collaboration influences and shapes the User Experience.

We invite interested participants to submit a position paper (2–4 pages, excluding the references) in the Word submission template, or LaTeX submission template to human.ml.interaction@gmail.com, which addresses at least one of the following contributions categories:

• Theoretical considerations: using UX and other HCI related key theretical framewors to analyse and frame UX of IML

• Case studies: technical and empirical works that explore the user interactions and user experiences of IML systems

• Design-based explorations: implementation of IML systems in real-world settings

• Research through Design (RtD): understanding and researching UX of IML through designed objects and tools

Important dates

Submission deadline: August 21^st, 2020 August 28th, 2020

Notification: September 14^th, 2020 September 21^st, 2020

Organizers

Maliheh Ghajargar: She is an Associate Senior Lecturer in Interaction Technologies at Malmö University, and her research interests are within the areas of Research through Design and Machine Learning.

Jan Persson: He is a Senior Lecturer at Malmö University, and his research interests are within the areas of optimization and simulation system, multi-agent systems, Machine Learning in the application areas of transportation and sensor systems.

Jeffrey Bardzell: He is Associate Dean and Professor at the college of Information Sciences and Technology at Pennsylvania State University. His research examines both design theory, research and social computing practices. His work on design research has focused on critical design, research through design, and design criticism.

Lars Holmberg: He is a PhD-student in Computer Science at Malmö University. His PhD focus on Human in Command Machine Learning. He previously held a position as a lecturer and program director for the Interaction Design bachelor program at Malmö University.

Agnes Tegen: She is a PhD-student in Computer Science at Malmö University. Her PhD focuses on Interactive Machine Learning.

*Cecilia Ovesdotter Alm: She is Associate Professor at Rochester Institute of Technology. Her research focus is human-centered AI and linguistic multimodal sensing, including for affective computing. She is PI of NSF-funded REU Site: Computational Sensing for Human-centered AI and the Human-centered AI Lead of RIT’s Center for Human-aware Artificial Intelligence. She co-organized the 2018 and 2020 Workshops in Human-centered Computational Sensing, was co-advisor for the Student Research Workshop at ACL 2017, and is D&I co-chair for ACL 2020.

*Alberto Alvarez: He is a PhD student at Malmö University. His research focuses on the interaction between artificial intelligence and humans within the context of exploring how AI and humans can collaborate and co-create artifacts and the collaborative impact on human creativity.His research interests are on computational intelligence in games, computational creativity and co-creativity, mixed-initiative tools, and believable agents. He was the poster chair at the Foundations of Digital Games conference (FDG) 2018.

*José Font: He is Associate Professor at Malmö University and holds a PhD in artificial intelligence from the Universidad Politécnica de Madrid. His research focuses on artificial intelligence and computational intelligence in games, exploring the ways in which AI can be a productive and creative tool during the video game development process, such as procedural content generation and mixed-initiative creative tools. He is also active in gamification, e-learning, and purposeful games. He co-organized the FDG 2018 conference in Malmö.

*Antonios Liapis: He is a lecturer at the University of Malta. He does research on the crossroads of game design, artificial intelligence and computational creativity. More specifically, he explores the limits of computational input to the human-driven design process in computer-aided design tools. Beyond AI-assisted game design, his research pursuits revolve around procedural content generation, digital aesthetics, evolutionary computation, neuroevolution and constrained optimization. He has won several best paper awards. He has worked in the following FP7 projects: SIREN, C2Learn and AutoGameDesign and in the H2020 projects PRISMARCH, AI4Media, CrossCult, ENVISAGE and CoM_n_Play-Science.

*Thomas Pederson: He is Professor in Computer Science at Dept. of Computer Science and Media Technology at Malmö University. He heads the Egocentric Interaction research group there, where he explores data-driven context-aware and wearable interactive systems that seamlessly support ongoing real-world human tasks through subtle multimodal cueing based on emerging Augmented Reality platforms. He co-chaired NordiCHI 2012 in Copenhagen and has co-organized several other workshops at NordiCHI and other HCI-related conferences.

*Johan Salo: He is a PhD student at Malmö University. M.Sc Interaction design, Professional experience: Research project manager, interaction designer, and managing director at a digital design company. His research interests include personal informatics, wearables, interaction design, and human-computer interaction. He is also part of the Data Society Research Program at Malmö University. He has organized design workshops and conference workshops while working in the media industry. He has worked in the PaperWorks FP6 project and other projects such as Living Lab Malmö, PaperWorks, NiviNavi, BluePromo and Stadsfabula.

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*The organisers of InvAI'20 workshop.