CreativityMachine Learning Design
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ABOUT ME

PERSONAL DETAILS

About Me

I am a doctoral candidate in Human-Computer Interaction in the User Interfaces Group of Prof. Antti Oulasvirta at Aalto University in Helsinki. I hold a Master degree in Business Information Systems from the Technical University Darmstadt with a focus on Management and Human-Computer Interaction. After writing my Master's Thesis in HCI at the MobileLife Research Center in Stockholm, I went to industry to collect more work experience. In 2015, I decided to pursue an academic career and started my PhD at Aalto University.

My research interest lies in collaborative designing systems. In my work, I aim to define, study and evaluate human-machine interaction for creating valuable designs together with intelligent machines. Taking this human-centered approach, I use knowledge from psychology, design and AI to enable systems to act on a human equal stand. I believe that computers and humans have distinct skills to add to such a collaboration.

INTERESTS

I particularly enjoy to discover new art pieces -especially surrealism- and to produce art when time is available. As I am a quite extroverted person, I am also a huge board game fan, and always enjoy cooking and discussions with friends. My curiosity for traveling and new cultures probably has nurtured my enthusiasm for a research career, and flourished during these last years.

FACTS ABOUT ME

My Journey:

I am originally from Halle/Saale (Germany). My studies in Business Information Systems allowed me to explore different parts of Germany, i.e. Magdeburg, Munich and Darmstadt, and also to leave Germany to discover the world. In particular Vancouver (Canada) and Stockholm (Sweden) allowed me to grow personally and professionally. After working in Finance for 14 months in Sweden , I decided to pursue an academic career in computational design, which brought me over the Baltic Sea to Finland. During this time I also did research internships in Paris (France) and Toronto (Canada), and am now continuing my journey as a Post-Doc in the ExSitu lab at Inria Paris-Saclay in collaboration with the German Research Center for Artificial Intelligence.

Some Collectables:

During my journey I met a large number of wonderful and interesting people and discovered new cultures. This enabled me to add (professional) English, Swedish and a bit of Finnish to my list of languages. I am currently intending to add French to this list soon :).

During those years I also developed skills beyond research and writing, including technical craftsmanship like programming -- mainly Python, JS -- and machine learning -- mainly reinforcement algorithms. I also had the opportunity to meet and learn from professional creatives and designers which allowed me to enrich my understanding of abstract creative practices like verbal, visual and embodied inspiration.

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RESUME

EDUCATION
  • 2020
    Now

    Postdoc in Human Computer Interaction

    Inria Paris-Saclay

    Member of the ALMA project (Human Centric Algebraic Machine Learning) in collaboration with the German Center of Artificial Intelligence (DFKI). My focus is on applying AML to Design Ideation.
  • 2015
    Now
    Helsinki, Finland

    PHD in Human Computer Interaction

    User Interface Group, Aalto University

    Thesis Title: "Collaborative Systems for Design Inspiration"
  • 2013
    2014
    Stockholm, Sweden

    Study Abroad - Human Computer Interaction

    Royal Institute of Technology in Stockholm (KTH), The Mobile VINN Excellence Centre (MobileLife)

    Thesis Title: "Bio-Data Logging in Stress Treatment"
  • 2011
    2014
    Darmstadt, Germany

    M.Sc. Business Information Systems

    Technical University Darmstadt

    Thesis Title: "Information and network benefits of social media platforms"
  • 03/2010
    12/2010
    Vancouver, Canada

    Study Abroad - Business Administration

    Fairleigh Dickinson University Vancouver

  • 2007
    2011
    Magdeburg, Germany

    B.Sc. Business Information Systems

    Otto-von-Guericke University Magdeburg

    Thesis Title: "The Impact of Outlier Detection Methods on the Quality of Data Mining Models"
ACADEMIC AND PROFESSIONAL POSITIONS
  • 01/2020
    05/2020
    Toronto, Canada

    Industry Internship: User Interface Research

    User Interface Research Team, Autodesk

  • 10/2018
    01/2019
    Paris, France

    Research internship: Human-Computer Interaction

    Ex)Situ lab, Inria Paris-Saclay

  • 2013
    2014
    Stockholm, Sweden

    Risk Analyst

    iZettle AB Stockholm

    Analyzing behavior patterns of merchants based on credit card transactions and background analysis, ensure legal compliance and handling financial liability requests
  • 2014
    2014
    Stockholm, Sweden

    Research Assistant

    Biosync Technology AB

    Defining value propositions for a start up, research project for using bio-data in stress therapy: conducted design process to developing a prototype/ mockup of a stress management system
  • 2011
    2011
    Munich, Germany

    Data Mining Analyst

    b.telligent Consultancy GmbH Munich

    6-month internship, Bachelors thesis on Outlier De-tection, Orgnaized in-house Data Mining trainings; Preparing and conducting internal SAP and SAS data mining seminars
Grants
  • 2017
    Helsinki, Finland

    Personal Grant

    HPY Research Foundation

    Personal research funding of 3000€ for research on Adaptive design systems
  • 2015
    2019
    Helsinki, Finland

    Doctoral Scholarship

    Doctoral School in Electrical Engineering at Aalto University

    Full doctoral scholorship for research on Computational Design
  • 2017
    Barcelona, Spain

    ACM WomENcourage Scholorship

    ACM WomENcourage Initiative

    Scholarship for travel, accommodation and participation on the Celebration of Women in Computing Event (ACM-W) 2017.
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PUBLICATIONS

PUBLICATIONS LIST
06 Jul 2020

SemanticCollage: Enriching Digital Mood Board Design with Semantic Labels

DIS´20

SemanticCollage helps designers to 1) translate vague, visual ideas into search terms; 2) make better sense of and communicate their designs; while 3) not disrupting their creative flow.

ConferencesDemonstrations Janin Koch, Nicolas Taffin, Andrés Lucero, and Wendy Mackay

SemanticCollage: Enriching Digital Mood Board Design with Semantic Labels

Janin Koch, Nicolas Taffin, Andrés Lucero, and Wendy Mackay
ConferencesDemonstrations
About The Publication
Designers create inspirational mood boards to express their design ideas visually, through collages of images and text. They find appropriate images and reflect on them as they explore emergent design concepts. After presenting the results of a participatory design workshop and a survey of professional designers, we introduce SemanticCollage, a digital mood board tool that attaches semantic labels to images by applying a state-of-the-art semantic labeling algorithm. SemanticCollage helps designers to 1) translate vague, visual ideas into search terms; 2) make better sense of and communicate their designs; while 3) not disrupting their creative flow. A structured observation with 12 professional designers demonstrated how semantic labels help designers successfully guide image search and find relevant words that articulate their abstract, visual ideas. We conclude by discussing how SemanticCollage inspires new uses of semantic labels for supporting creative practice.
Citation: Janin Koch, Nicolas Taffin, Andrés Lucero, and Wendy Mackay. 2020.
SemanticCollage: Enriching Digital Mood Board Design with Semantic Labels.
In Proceedings of the Designing Interactive Systems Conference 2020 (DIS ’20). ACM
Project Page with Code and Additional Material: https://userinterfaces.aalto.fi/SemanticCollage/   Paper Download : SemanticCollage: Enriching Digital Mood Board Design with Semantic Labels
30 May 2020

ImageSense: An Intelligent Collaborative Ideation Tool to Support Diverse Human-Computer Partnerships

CSCW'20

We present ImageSense, an intelligent, collaborative ideation tool that combines individual and shared work spaces, as well as collaboration with multiple forms of intelligent agents.

ConferencesJournal Paper Janin Koch, Nicolas Taffin, Michel Beaudouin-Lafon, Markku Laine, Andrés Lucero, and Wendy E. Mackay

ImageSense: An Intelligent Collaborative Ideation Tool to Support Diverse Human-Computer Partnerships

Janin Koch, Nicolas Taffin, Michel Beaudouin-Lafon, Markku Laine, Andrés Lucero, and Wendy E. Mackay
ConferencesJournal Paper
About The Publication
Professional designers create mood boards to explore, visualize, and communicate hard-to-express ideas. We present ImageSense, an intelligent, collaborative ideation tool that combines individual and shared work spaces, as well as collaboration with multiple forms of intelligent agents. In the collection phase, ImageSense offers fluid transitions between serendipitous discovery of curated images via ImageCascade, combined text- and image-based Semantic search, and intelligent AI suggestions for finding new images. For later composition and reflection, ImageSense provides semantic labels, generated color palettes, and multiple tag clouds to help communicate the intent of the mood board. A study of nine professional designers revealed nuances in designers’ preferences for designer-led, system-led, and mixed-initiative approaches that evolve throughout the design process. We discuss the challenges in creating effective human-computer partnerships for creative activities, and suggest directions for future research.
Citation: Janin Koch, Nicolas Taffin, Michel Beaudouin-Lafon, Markku Laine, Andrés Lucero, and Wendy E. Mackay. 2020.
ImageSense: An Intelligent Collaborative Ideation Tool to Support Diverse Human-Computer Partnerships.
Proc. ACM Hum.-Comput. Interact. 4, CSCW1, Article 045 (May 2020), 27 pages. DOI:https://doi.org/10.1145/3392850
Project Page with Additional Material: https://userinterfaces.aalto.fi/ImageSense/   Paper Download : ImageSense: An Intelligent Collaborative Ideation Tool to Support Diverse Human-Computer Partnerships
25 Apr 2020

Where Art Meets Technology: Integrating Tangible and Intelligent Tools in the Design Process

CHI'20

Workshop Proposal: Artists and designers use a wide selection of tools, whose impact is rapidly growing with the progression of digital technologies. This change has opened up new opportunities for the CHI community to build creative supportive tools.

Workshops Janin Koch, Jennifer Pearson, Andrés Lucero, Miriam Sturdee, Wendy E. Mackay, Makayla Lewis, and Simon Robinson

Where Art Meets Technology: Integrating Tangible and Intelligent Tools in the Design Process

Janin Koch, Jennifer Pearson, Andrés Lucero, Miriam Sturdee, Wendy E. Mackay, Makayla Lewis, and Simon Robinson
Workshops
About The Publication
Art and design are essential aspects of our culture and how we interact with the world. Artists and designers use a wide selection of tools, whose impact is rapidly growing with the progression of digital technologies. This change has opened up new opportunities for the CHI community to build creative supportive tools. The digital switch has come with many benefits such as lowering barriers, mobile work environments and mass production for distribution of work. Along with these benefits we also see challenges for art and design work and its future perception in society. As technology takes a more significant role in supporting art and design what will this mean for the individual artist or designer? The focus of this workshop is to bring together researchers and practitioners to explore what the future of digital art and design will hold. The exploration will centre around synthesizing key challenges and questions, along with ideas for future interaction technologies that consider mobile and tangible aspects of digital art.
Citation: Janin Koch, Jennifer Pearson, Andrés Lucero, Miriam Sturdee, Wendy E. Mackay, Makayla Lewis, and Simon Robinson. 2020. Where Art Meets Technology: Integrating Tangible and Intelligent Tools in Creative Processes. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA ’20). Association for Computing Machinery, New York, NY, USA, 1–7. DOI:https://doi.org/10.1145/3334480.3375172 
Paper download: Where Art Meets Technology.
07 May 2019

May AI? Design Ideation with Cooperative Contextual Bandits

CHI'19

We developed a CCB for an interactive design ideation tool that 1) suggests inspirational and situationally relevant materials (“may AI?”), 2) explores and exploits inspirational materials with the designer, and 3) explains suggestions to aid reflection.

Conferences Janin Koch, Andrés Lucero, Lena Hegemann and Antti Oulasvirta

May AI? Design Ideation with Cooperative Contextual Bandits

Janin Koch, Andrés Lucero, Lena Hegemann and Antti Oulasvirta
Conferences
About The Publication
Design ideation is a prime creative activity in design. However, it is challenging to support computationally, because of its quickly evolving and exploratory nature. This paper studies cooperative contextual bandits (CCB) as a machine learning method for interactive ideation support. CCBs can learn to propose domain-relevant contributions and adapt their exploration/ exploitation strategy. We developed a CCB for an interactive design ideation tool that 1) suggests inspirational and situationally relevant materials (“may AI?”), 2) explores and exploits inspirational materials with the designer, and 3) explains suggestions to aid reflection. As an application case, we study digital mood board design, wherein visual inspirational materials are collected and curated in collages. In a controlled study, 14 of 16 professional designers preferred the CCB-augmented tool. CCBs are promising for ideation activities where adaptive and steerable support is welcome but designers need to retain full control of the outcome.
Citation: Koch, Janin, Andrés Lucero, Lena Hegemann and Antti Oulasvirta. 2019. “May AI? Design Ideation with Cooperative Contextual Bandits”, Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, 2019.
Project Page with Code and Additional Material: https://userinterfaces.aalto.fi/ccb/   Paper Download : May AI? Design Ideation with Cooperative Contextual Bandits
04 May 2019

Collaborative Systems for Ideation: Collecting visual Inspiration with AI’s

CHI'19

Submitted to 'Human-Centered Machine Learning Perspectives' Workshop: Collaborative AI’s offer great potential for explorative and creative methods. While previous work in HCI and ML mainly focuses on exploiting either human or machine capabilities, the concept of collaboration suggests work on equal terms to achieve synergy effects as seen in collaborative creativity.

Workshops Janin Koch

Collaborative Systems for Ideation: Collecting visual Inspiration with AI’s

Janin Koch
Workshops
About The Publication
Collaborative AI’s offer great potential for explorative and creative methods. While previous work in HCI and ML mainly focuses on exploiting either human or machine capabilities, the concept of collaboration suggests work on equal terms to achieve synergy effects as seen in collaborative creativity. However, the uncertain nature of creative problems raises new questions regarding the definition and design of such systems. We present a collaborative system for mood board design based on a state-of-the-art contextual bandit structure that is able to iteratively adapt to changing objectives, and autonomously selects explorative/ exploitative strategies to propose suitable contributions to the current mood board. Besides the technical implementation, we discuss the need of design professionals in the design of such collaborative systems as well as open questions based on our results.
14 Oct 2018

Aalto Interface Metrics (AIM): A Service and Codebase for Computational GUI Evaluation

UIST'18

Aalto Interface Metrics (AIM) pools several empirically validated models and metrics of user perception and attention into an easy-to-use online service for the evaluation of graphical user interface (GUI) designs. Users input a GUI design via URL, and select from a list of 17 different metrics covering aspects ranging from visual clutter to visual learnability.

Poster Antti Oulasvirta, Samuli De Pascale, Janin Koch, Thomas Langerak, Jussi Jokinen, Kashyap Todi, Markku Laine, Manoj Kristhombuge, Yuxi Zhu, Aliaksei Miniukovich, Gregorio Palmas, and Tino Weinkauf

Aalto Interface Metrics (AIM): A Service and Codebase for Computational GUI Evaluation

Antti Oulasvirta, Samuli De Pascale, Janin Koch, Thomas Langerak, Jussi Jokinen, Kashyap Todi, Markku Laine, Manoj Kristhombuge, Yuxi Zhu, Aliaksei Miniukovich, Gregorio Palmas, and Tino Weinkauf
Poster
About The Publication
Aalto Interface Metrics (AIM) pools several empirically validated models and metrics of user perception and attention into an easy-to-use online service for the evaluation of graphical user interface (GUI) designs. Users input a GUI design via URL, and select from a list of 17 different metrics covering aspects ranging from visual clutter to visual learnability. AIM presents detailed breakdowns, visualizations, and statistical comparisons, enabling designers and practitioners to detect shortcomings and possible improvements. The web service and code repository are available at interfacemetrics.aalto.fi.
Citation: Antti Oulasvirta, Samuli De Pascale, Janin Koch, Thomas Langerak, Jussi Jokinen, Kashyap Todi, Markku Laine, Manoj Kristhombuge, Yuxi Zhu, Aliaksei Miniukovich, Gregorio Palmas, and Tino Weinkauf. 2018. Aalto Interface Metrics (AIM): A Service and Codebase for Computational GUI Evaluation. In The 31st Annual ACM Symposium on User Interface Software and Technology Adjunct Proceedings (UIST '18 Adjunct). ACM, New York, NY, USA, 16-19. DOI: https://doi.org/10.1145/3266037.3266087.
You can downlad this paper here.
08 Jun 2018

Group Cognition and Collaborative AI

Springer Book Article

Significant advances in artificial intelligence suggest that we will be using intelligent agents on a regular basis in the near future. This chapter discusses group cognition as a principle for designing collaborative AI.

Book Chapters Janin Koch, and Antti Oulasvirta

Group Cognition and Collaborative AI

Janin Koch, and Antti Oulasvirta
Book Chapters
About The Publication
Significant advances in artificial intelligence suggest that we will be using intelligent agents on a regular basis in the near future. This chapter discusses group cognition as a principle for designing collaborative AI. Group cognition is the ability to relate to other group members’ decisions, abilities, and beliefs. It thereby allows participants to adapt their understanding and actions to reach common objectives. Hence, it underpins collaboration. We review two concepts in the context of group cognition that could inform the development of AI and automation in pursuit of natural collaboration with humans: conversational grounding and theory of mind. These concepts are somewhat different from those already discussed in AI research. We outline some new implications for collaborative AI, aimed at extending skills and solution spaces and at improving joint cognitive and creative capacity.
Citation: Koch, Janin, and Antti Oulasvirta. 2018. “Group Cognition and Collaborative AI.” In Human and Machine Learning: Visible, Explainable, Trustworthy and Transparent. Springer International Publishing. 

Book available here. Download our chapter here.
09 Jun 2018

Tools for Inspiration Seeking: Raising Open Questions

DIS'18

Submitted to 'Designing interactive systems to support and augment creativity' Workshop. An increasing trend toward the digitalization of design practice and research on tools for augmenting creativity will encourage novel ways of designing in the future. Especially, tools for collecting and interacting with digital inspirational material present great opportunities for current design practice.

Workshops Janin Koch, Andrés Lucero

Tools for Inspiration Seeking: Raising Open Questions

Janin Koch, Andrés Lucero
Workshops
About The Publication
An increasing trend toward the digitalization of design practice and research on tools for augmenting creativity will encourage novel ways of designing in the future. Especially, tools for collecting and interacting with digital inspirational material present great opportunities for current design practice. However, the complex nature of such highly creative practice raises new challenges and questions in relation to such developments. We present three tools for inspiration seeking as a base for discussing open questions identified in our previous work. These tools vary in their agency within current practice for seeking and interacting with digital inspirational material to allow a wider scope of analysis. We intend to use these questions to discuss future guidelines for designing such tools and systems. Published at DIS’18 Workshop: Designing interactive systems to support and augment creativity
 Citation: Koch, Janin and Lucero, Andrés. 2018. "Tools for Inspiration Seeking: Raising Open Questions." Workshop paper DIS'18 Workshop: Designing interactive systems to support and augment creativity. 
Paper Download: Tools for Inspiration Seeking
25 May 2018

Surfing for Inspiration: Digital Inspirational Material in Design Practice

DRS'18

Over the last decade, many new opportunities have emerged to support creativity and problem-solving in design by finding inspirational materials via the Internet. However, very little is known about how these communities affect inspiration-related practices of professional designers and how designers view them.

Conferences Janin Koch, Magda Laszlo, Andrés Lucero, and Antti Oulasvirta

Surfing for Inspiration: Digital Inspirational Material in Design Practice

Janin Koch, Magda Laszlo, Andrés Lucero, and Antti Oulasvirta
Conferences
About The Publication
Over the last decade, many new opportunities have emerged to support creativity and problem-solving in design by finding inspirational materials via the Internet. Online design communities such as those of Behance and Pinterest showcase portfolios and user-made artwork, and they offer support for designers’ day-to-day work to find and collect inspirational material. However, very little is known about how these communities affect inspiration-related practices of professional designers and how designers view them. This paper presents new data on the practices designers employ when seeking digital inspiration sources online and reflecting on, tracking, and managing them in today’s Web design. Current practice and views on sources of inspiration were described based on responses from 51 professional designers. The results suggest that the Internet has become a prevalent source for ideas in design, yet designers experience mounting issues of trust and relatedness with regard to online sources. Therefore, encouraging both should be considered a guiding principle for tools aimed at supporting designers within the realm of design practice.
Citation: Koch, Janin, Magda Laszlo, Andrés Lucero, and Antti Oulasvirta. 2018. “Surfing for Inspiration: Digital Inspirational Material in Design Practice.” In Proceedings of Design Research (DRS), 2018.
Paper Download : Surfing for Inspiration: Digital Inspirational Material in Design Practice
21 Apr 2018

Contextual Bandits for Design: A Human-Computer Collaboration Approach

CHI'18

Submitted to "Rethinking Interaction" Workshop: Human-Computer Collaboration offers great potential for explorative and creative problem-solving strategies. While previous work in HCI and ML mainly focuses on exploiting either human or machine capabilities, the concept of collaboration suggests work on equal terms to achieve synergy effects.

Workshops Selected Janin Koch

Contextual Bandits for Design: A Human-Computer Collaboration Approach

Janin Koch
Workshops Selected
About The Publication
Human-Computer Collaboration offers great potential for explorative and creative problem-solving strategies. While previous work in HCI and ML mainly focuses on exploiting either human or machine capabilities, the concept of collaboration suggests work on equal terms to achieve synergy effects. The uncertain nature of creative problems raises new questions regarding the adaptability of systems to changing objectives in iterative processes. We present a collaborative system for mood board design based on a state-of-the-art contextual bandit structure that is able to iteratively adapt to changing behaviors, and moves autonomously through solution spaces to propose suitable contributions. Besides the technical implementation, we discuss the need for further research on collaborative interaction behaviors between humans and machines.
Citation: Koch, Janin. 2018. "Contextual Bandits for Design: A Human-Computer Collaboration Approach." Workshop paper CHI Conference Extended Abstracts on Human Factors in Computing Systems.
You can downlad this paper here.
27 Mar 2017

Design implications for Designing with a Collaborative AI

AAAI 2017 Spring Symposium

Submitted to 'Designing the User Experience of Machine Learning Systems' Track: This paper proposes a framework for a collaborative designing system from an interaction design perspective. Using the agent-based model from the mixed-initiative interaction framework as a starting point, an ideal interaction scenario in a web design context is described and implications for designing collaborative systems are presented.

Position Paper Janin Koch

Design implications for Designing with a Collaborative AI

Janin Koch
Position Paper
About The Publication
This paper proposes a framework for a collaborative designing system from an interaction design perspective. Using the agent-based model from the mixed-initiative interaction framework as a starting point, an ideal interaction scenario in a web design context is described and implications for designing collaborative systems are presented. Previous work on machine learning and artificial intelligence for interaction design has already looked at recognition of designers’ intent and combinatorial problem-solving in design. This paper, in contrast, focuses on the interaction design perspective of designing such a system, and introduces a framework that highlights requirements in this context. The framework uses the notion of task model and world model from agent-based models as a frame, and the resulting implications call for a stronger involvement of designers in the process. Position paper at the AAAI Spring Symposium on Designing the User Experience of Machine Learning Systems, 2017.
Citation: Koch, Janin. "Design implications for Designing with a Collaborative AI." 2017 AAAI Spring Symposium Series. 2017.
Paper Download: Design implications for Designing with a Collaborative AI
07 May 2016

Computational Layout Perception using Gestalt Laws

CHI'16

(Work in Progress) We present preliminary results on computational perception of interactive layouts. Our goal is to algorithmically estimate how users perceive a layout. Potential applications range from automated usability evaluation to computer-generated and adaptive interfaces.

ConferencesPoster Janin Koch, and Antti Oulasvirta

Computational Layout Perception using Gestalt Laws

Janin Koch, and Antti Oulasvirta
ConferencesPoster
About The Publication
We present preliminary results on computational perception of interactive layouts. Our goal is to algorithmically estimate how users perceive a layout. Potential applications range from automated usability evaluation to computer-generated and adaptive interfaces. Layout perception is challenging, however, because of diverse features, combinatorial complexity, and absence of approaches. We have explored Gestalt laws as parsing heuristics. Our approach finds a parametrization that optimally resolves conflicts among competing interpretations of a layout. The output is a hierarchical grouping of main elements. The results are promising: an implementation of just four Gestalt laws enables hierarchical grouping that presents promising results in 90% of our (realistic) test cases.
Citation: Koch, Janin, and Antti Oulasvirta. "Computational layout perception using gestalt laws." Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 2016.
Paper Download: Computational Layout Perception using Gestalt Laws
07 May 2016

Learning Layout Design: Challenges and Opportunities

CHI'16

Submitted to "Human Centered Machine Learning" Workshop: Interactive layouts are pervasive and a central part of e.g. GUIs, Web interfaces, menus and forms. They have been hard to design algorithmically because search spaces are large and multiple factors contributing to design choices. We argue that in order to touch base with real design practices, machine learning approaches should take into account the requirements posed by user-centered design.

Workshops Janin Koch, Weir, Daryl and Antti Oulasvirta

Learning Layout Design: Challenges and Opportunities

Janin Koch, Weir, Daryl and Antti Oulasvirta
Workshops
About The Publication
This position paper discusses the use of machine learning methods in layout design. Interactive layouts are pervasive and a central part of e.g. GUIs, Web interfaces, menus and forms. They have been hard to design algorithmically because search spaces are large and multiple factors contributing to design choices. We argue that in order to touch base with real design practices, machine learning approaches should take into account the requirements posed by user-centered design. We have identified four touch points to user-centered design. For each touch point we discuss both opportunities and challenges and show results from our on-going work.
Citation: Koch, Janin, Weir, Daryl and Antti Oulasvirta. "Learning Layout Design: Challenges and Opportunities." Workshop paper CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, 2016.
Paper Download: Learning Layout Design: Challenges and Opportunities
18 Apr 2015

Imagining the future of stress therapy through a design exploration

CHI'15

In this workshop paper, we present a design exploration of the domain of stress therapy, involving stress researchers and professional therapists. We address the problem of using bio-data, collected during the course of everyday live, in stress therapy.

Workshops Janin Koch, Pedro Sanches

Imagining the future of stress therapy through a design exploration

Janin Koch, Pedro Sanches
Workshops
About The Publication
In this paper, we present a design exploration of the domain of stress therapy, involving stress researchers and professional therapists. We address the problem of using bio-data, collected during the course of everyday live, in stress therapy. The challenge is centered on how to visualize data in a way that can be useful for therapists and patients. We present our results and reflect on our design exploration, arguing that research through design can provide useful insights in domains that are hard to access using other methods of inquiry, as well as support imagination of future scenarios. Paper Download: Imagining the future of stress therapy through a design exploration
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Review Experience

Journals
  • IJHCS - International Journal of Human-Computer Studies

    2019
  • IEEE Computer

    2016
Conferences
  • CHI - ACM Conference on Human Factors in Computing Systems

    2016 - 2020

    2 Exceptional Reviewer distinctions at ACM CHI ‘17, CHI’19

  • GI - ACM Graphics Interface

    2020

    as Associate Chair / Member of the Program Committee

  • HRI - ACM/IEEE International Conference on Human-Robot Interaction

    2020
  • MobileHCI - ACM International Conference on Human-Com-puter Interaction with Mobile Devices and Services

    2020
  • UIST - ACM Symposium on User Interface Software and Technology Adjunct Proceedings

    2020
  • UbiComp - ACM International Joint Conference on Pervasive and Ubiquitous Computing

    2016
  • DIS - ACM SIGCHI Conference on Designing Interactive Systems

    2016, 2020
  • C&C - ACM SIGCHI Conference on Creativity and Cognition

    2017, 2019
  • ECIS - European Conference on Information Systems

    2019
  • INTERACT - International Conference on Human-Computer Interaction

    2017
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Public Work

Invited Talks/ Exhibitions
  • 2020
    2019

    Connecting the Dots: An AI Exhibition

    Demo/ Exhibition/ Talk

    Demo and Exhibition: A creative AI for collecting visual inspirations with the user
    Podcast Interview: The Future of AI (https://connecting-dots.aalto.fi/exhibition/the-future-of-ai-a-discussion/)
  • 2018

    Helsinki Design Meetup

    Talk

    Topic: How to design for AI
  • 2017

    IxDA Helsinki

    Talk

    Topic: Rethinking Interaction
Volunteer Work
  • 2019
    2017

    Digital Content Editor

    XRDS

  • 2018

    Workshop Chair

    SIDeR'18

  • 2018

    Session Chair

    SIDeR'18

  • 2018

    ACM CHI Student Volunteer

    CHI

  • 2017

    SIGCHI Student Volunteer

    SIGCHI