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2018 Turing Award Laureates to Present Lecture on the State of Machine Learning


New York, NY, June 12, 2019 – ACM, the Association for Computing Machinery, will hold the Federated Computing Research Conference (FCRC), June 22-28 in Phoenix, Arizona. FCRC assembles a spectrum of affiliated research conferences and workshops into a week-long coordinated meeting. The FCRC model allows both a strong research focus within each represented subdiscipline of computing while also facilitating communication among researchers in different fields of computer science and engineering.


The FCRC is held only once every four years. Each morning, FCRC features a joint plenary talk on topics of broad appeal to the computing research community. To the extent facilities allow, attendees are free to attend technical sessions of other affiliated conferences being held at the same time as their "home" conference.


Turing Lecture

Two of this year’s recipients of the ACM A.M. Turing Award—Geoffrey Hinton of Google, and Yann LeCun of Facebook—will present their Turing Lecture at FCRC. Hinton and LeCun, along with Yoshua Bengio of the University of Montreal, received the 2018 A.M. Turing Award for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. Working independently and together, they developed conceptual foundations for the field, identified surprising phenomena through experiments, and contributed engineering advances that demonstrated the practical advantages of deep neural networks. 


Hinton and LeCun will present their Turing Lecture as part of FCRC on June 23 at 5:15 p.m. at Symphony Hall of the Phoenix Convention Center. The titles of their presentations are:

Geoffrey Hinton: “The Deep Learning Revolution”

Yann LeCun: “The Deep Learning Revolution: The Sequel”


FCRC Plenary Speakers


“A Roadmap for Reverse-Architecting the Brain’s Neocortex”

James E. Smith, University of Wisconsin-Madison

Understanding, and then replicating, the computing paradigm(s) used in the brain’s neocortex is a computer architecture research problem that is of unquestionable practical and scientific importance, but one that will require an unconventional approach. Smith’s talk lays out a potential roadmap, based on several years of study and experimentation, in a methodical, bottom-up manner.  According to Smith, the first important milestone along the road is the development of feedforward biologically plausible neural networks capable of unsupervised, continual learning, and implementable with high energy efficiency. After the first milestone is reached and the roadmap going forward becomes a little clearer, reverse-architecting the higher level cognitive functions promises to be at the leading edge of computer architecture research for decades to come. 


“Differential Privacy and the US Census”

Cynthia Dwork, Harvard University

Differential privacy is a mathematically rigorous definition of privacy tailored to statistical analysis of large datasets. Differentially private systems simultaneously provide useful statistics to the well-intentioned data analyst and strong protection against arbitrarily powerful adversarial system users –without needing to distinguish between the two. Differentially private systems "don't care" what the adversary knows, now or in the future. Finally, differentially private systems can rigorously bound and control the cumulative privacy loss that accrues over many interactions with the confidential data. These unique properties, together with the abundance of auxiliary data sources and the ease with which they can be deployed by a privacy adversary, led the US Census Bureau to adopt differential privacy as the disclosure avoidance methodology of the 2020 decennial census. Dwork’s talk will motivate the definition of differential privacy, reflect on the theory-meets-practice experiences of the decennial census, and highlight a few pressing challenges in the field.


“The Role of Computer Science in Computer Science Education”

Shriram Krishnamurthi, Brown University

Computer science education is a difficult and fascinating problem, sitting at the intersection of the technical and human. It is also an increasingly urgent problem as countries around the world are rushing to add computing to their curricula and wrestling with broadening access to it. The needs are not limited to schoolchildren: working adults and the elderly use computers in ever more sophisticated ways. What role can computer scientists play in this movement? In this talk, Krishnamurthi will provide a look at some of those questions, and identify a few of the numerous challenges the field has barely begun to address.


“Data for Good: Data Science at Columbia”

Jeannette M. Wing, Columbia University

Every field has data. We use data to discover new knowledge, to interpret the world, to make decisions, and even to predict the future. The recent convergence of big data, cloud computing, and novel machine learning algorithms and statistical methods is causing an explosive interest in data science and its applicability to all fields. Jeannette Wing is the Director of the Data Science Institute at Columbia University. The Data Science Institute promotes “Data for Good”: using data to address societal challenges and bringing humanistic perspectives as—not after—new science and technology is invented. In this talk, Wing will present examples of research and education projects to illustrate how data science is transforming every field, profession, and sector. 


“Heterogeneous Acceleration and Challenges for Scientific Computing on the Exascale”

Erik Lindahl, Stockholm University

Modern computer hardware has become tremendously powerful in terms of FLOPS, memory bandwidth, multithreading and accelerators—but while codes could get close to the theoretical peak performance 20 years ago, many of today’s applications struggle to reach 10% due to the complexity of hardware. In this talk, Lindahl will showcase the challenges faced by real-world scientific applications that primarily focus on improving time-to-solution on increasingly powerful supercomputers rather than FLOP-counts, scaling, or relative acceleration. Among other topics, Lindahl will also discuss the strategies needed for all these applications to be able to turn Exascale computing investments into scientific discoveries and impactful industrial innovations.


Participating Conferences Include:

COLT: The 32nd Annual Conference on Learning Theory 
e-Energy: The Tenth ACM International Conference on Future Energy Systems

EC: 20th ACM Conference on Economics and Computation 
HPDC: The 28th International Symposium on High Performance Parallel and Distributed Computing

ICS: International Conference on Supercomputing

ISCA: The 46th International Symposium on Computer Architecture 
ISMM: International Symposium on Memory Management

IWQoS: IEEE/ACM International Symposium on Quality of Service

LCTES: Languages, Compilers, Tools, and Theory of Embedded Systems

PLDI: Programming Languages and Programming Systems Research

SIGMETRICS/IFIP Performance 2019: Measurement-Based Performance Evaluation Techniques

SPAA: 31st ACM Symposium on Parallelism in Algorithms and Architectures 
STOC: 51st ACM Symposium on the Theory of Computing

 About ACM

ACM, the Association for Computing Machinery, is the world’s largest educational and scientific computing society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence.  ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.

Jim Ormond


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Wigderson Receives Knuth Prize for Revolutionizing Our Understanding 
of Randomness in Computation 


Gödel Prize Awarded to Irit Dinur for Foundational Work on the PCP Theorem


New York, NY, June 13, 2019--SIGACT, the Association for Computing Machinery’s Special Interest Group on Algorithms and Computation Theory, has announced that the Donald E. Knuth Prize will be awarded to Avi Wigderson and the Gödel Prize will be awarded to Irit Dinur. Wigderson and Dinur will be formally recognized at the 51st Annual Symposium on the Theory of Computing (STOC 2019) in Phoenix, Arizona, June 23-26.


Donald E. Knuth Prize

Avi Wigderson of the Institute for Advanced Study  is recognized with the 2019 Donald E. Knuth Prize for fundamental and lasting contributions to the foundations of computer science in areas including randomized computation, cryptography, circuit complexity, proof complexity, parallel computation, and our understanding of fundamental graph properties. 


In a series of results, Wigderson showed, under widely-believed computational assumptions, that every probabilistic polynomial time algorithm can be fully derandomized. In other words, randomness is not necessary for polynomial-time computation. In cryptography, Wigderson co-authored two landmark papers that showed how one could compute any function securely in the presence of dishonest parties. He was also part of a team that showed that all problems with short proofs (i.e., all problems in NP) in fact have zero-knowledge proofs: that is, proofs that yield nothing but their validity, a central cryptographic construct.  


Wigderson received his PhD from Princeton University in 1983. He then served as a Visiting Assistant Professor at the University of California, Berkeley, a Visiting Scientist at IBM, and a Fellow at the Mathematical Sciences Research Institute (MSRI) in Berkeley before joining the Hebrew University as a faculty member in 1986. Since 1999, Wigderson has been a Professor in the School of Mathematics at the Institute for Advanced Study. Wigderson also received the Gödel Prize in 2009, for work with Omer Reingold and Salil Vadhan, and received the Nevanlinna Prize in 1994.


The Donald E. Knuth Prize recognizes outstanding contributions to the foundations of computer science by individuals for their overall impact in the field over an extended period. It is named in honor of Donald Knuth of Stanford University who has been called the “father of the analysis of algorithms.” The prize is jointly bestowed by the ACM Special Interest Group on Algorithms and Computation Theory (SIGACT) and the IEEE Computer Society Technical Committee on the Mathematical Foundations of Computing (TCMF).


Gödel Prize

The 2019 Gödel Prize is awarded to Irit Dinur of Hebrew University for her proof of the PCP Theorem in the paper “The PCP Theorem by Gap Amplification.”


The PCP theorem is one of the most influential and impressive results of the theory of computation, having fundamental implication both to the study of the inherent difficulty of approximation problems and to the study of probabilistic proof systems. Dinur’s paper provides an alternative proof of the PCP Theorem, which is fundamentally different from the original proof. Her new proof is significantly simpler than the original, making its presentation in complexity courses a feasible task. In addition, it significantly improves on important parameters of the resulting PCP, yields the same improvements for locally testable codes, and has inspired much research including practical applications. Providing an alternative proof for a result of such importance is a significant achievement, especially for a proof which addresses issues that have been puzzling many researchers and resolving a central open problem in the field.

Dinur received her PhD from Tel Aviv University. She later held appointments at the Institute of Advanced Study (Princeton, NJ), NEC, and the University of California, Berkeley before joining the Weizmann Institute of Science (Israel) as a Professor of Computer Science. Dinur won the Anna and Lajos Erdős Prize in Mathematics (2012) and a Michael Bruno Memorial Award (2007).


The Gödel Prize  recognizes major contributions to mathematical logic and the foundations of computer science. The prize is named in honor of Kurt Gödel, who was born in Austria-Hungary (now the Czech Republic) in 1906. Gödel's work has had immense impact upon scientific and philosophical thinking in the 20th century. The Gödel Prize is awarded jointly by ACM SIGACT and the European Association for Theoretical Computer Science (EATCS).



The ACM Special Interest Group on Algorithms and Computation Theory fosters and promotes the discovery and dissemination of high quality research in the domain of theoretical computer science.  The field includes algorithms, data structures, complexity theory, distributed computation, parallel computation, VLSI, machine learning, computational biology, computational geometry, information theory, cryptography, quantum computation, computational number theory and algebra, program semantics and verification, automata theory, and the study of randomness. Work in this field is often distinguished by its emphasis on mathematical technique and rigor.



About ACM

ACM, the Association for Computing Machinery, is the world’s largest educational and scientific computing society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.


Samir Khuller, ACM SIGACT Chair, 301-405-6765, This email address is being protected from spambots. You need JavaScript enabled to view it.   
Jim Ormond, ACM, 212-626-0505, This email address is being protected from spambots. You need JavaScript enabled to view it.

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Dr Jose Cordeiro helping with a genuine grassroots campaign to get the first ever futurist/transhumanist elected to the European Parliament. Dr Jose Cordeiro has written books on how we can use artificial intelligence and other technologies to improve the world. He has a good shot at getting elected as the EU elections use proportional representation. This is a campaign reliant on supporters who share these beliefs - helping human civilisation through technology

This week will see the first transhumanist running to become elected to the European Parliament. Dr Jose Cordeiro has written several books about how technology can transform society, including the best-selling “La Muerte de la Muerte” -- the Death of Death -- and has had many television appearances promoting how we can use artificial intelligence, nanotechnology and other emerging technologies to radically improve the human condition and create a new form of society. Below is an animation which goes through how these ideas are different to much of mainstream political discourse, which tends to focus on short-term fixes to problems which affect politicians’ electability.


If we are to build a better civilisation using technology like artificial intelligence then we must put these ideas first rather than bickering about sales taxes, political shenanigans and the like. The total funding from the European Union on artificial intelligence -- even after its recent focus on this technology -- comes to less than one percent of the agricultural subsidies in the EU, which total 40 billion Euros per year. What do you think will benefit human civilisation more over the next generation, artificial intelligence or agricultural subsidies?


Please do what you can to promote Dr Cordeiro this week, forward this to as many people as possible and make any Spanish friends you have aware of his campaign. From the European Parliament he will have far more influence than in a national parliament.


You can find infographics in Spanish and English here:  


Campaign website (in Spanish):

Facebook page (in Spanish):


Finn’s Breakthrough Approaches Significantly Advanced Machine Learning and Robotics


New York, NY, May 15, 2019 –ACM, the Association for Computing Machinery, today announced that Chelsea Finn receives the 2018 ACM Doctoral Dissertation Award for her dissertation, “Learning to Learn with Gradients.” In her thesis, Finn introduced algorithms for meta-learning that enable deep networks to solve new tasks from small datasets, and demonstrated how her algorithms can be applied in areas including computer vision, reinforcement learning and robotics.

Deep learning has transformed the artificial intelligence field and has led to significant advances in areas including speech recognition, computer vision and robotics. However, deep learning methods require large datasets, which aren’t readily available in areas such as medical imaging and robotics.

Meta-learning is a recent innovation that holds promise to allow machines to learn with smaller datasets. Meta-learning algorithms “learn to learn” by using past data to learn how to adapt quickly to new tasks. However, much of the initial work in meta-learning focused on designing increasingly complex neural network architectures. In her dissertation, Finn introduced a class of methods called model-agnostic meta-learning (MAML) methods, which don’t require computer scientists to manually design complex architectures. Finn’s MAML methods have had tremendous impact on the field and have been widely adopted in reinforcement learning, computer vision and other fields of machine learning.

At a young age, Finn has become one of the most recognized experts in the field of robotic learning. She has developed some of the most effective methods to teach robots skills to control and manipulate objects. In one instance highlighted in her dissertation, she used her MAML methods to teach a robot reaching and placing skills, using raw camera pixels from just a single human demonstration.

Finn is a Research Scientist at Google Brain and a postdoctoral researcher at the Berkeley AI Research Lab (BAIR). In the fall of 2019, she will start a full-time appointment as an Assistant Professor at Stanford University. Finn received her PhD in Electrical Engineering and Computer Science from the University of California, Berkeley and a BS in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology.  

Honorable Mentions
Honorable Mentions for the 2018 ACM Doctoral Dissertation Award go to Ryan Beckett and Tengyu Ma, who both received PhD degrees in Computer Science from Princeton University.

Ryan Beckett developed new, general and efficient algorithms for creating and validating network control plane  configurations in his dissertation, “Network Control Plane Synthesis and Verification.” Computer networks connect key components of the world’s critical infrastructure. When such networks are misconfigured, several systems people rely on are interrupted—airplanes are grounded, banks go offline, etc. Beckett’s dissertation describes new principles, algorithms and tools for substantially improving the reliability of modern networks. In the first half of his thesis, Beckett shows that it is unnecessary to simulate the distributed algorithms that traditional routers implement—a  process that is simply too costly—and that instead, one can directly verify  the stable states to which such algorithms will eventually converge. In the second half of his thesis, he shows how to generate correct configurations from surprisingly compact high-level specifications.

Beckett is a researcher in the mobility and networking group at Microsoft Research. He received his PhD and MA in Computer Science from Princeton University, and both a BS in Computer Science and a BA in Mathematics from the University of Virginia.

Tengyu Ma’s dissertation, “Non-convex Optimization for Machine Learning: Design, Analysis, and Understanding,” develops novel theory to support new trends in machine learning. He introduces significant advances in proving convergence of nonconvex optimization algorithms in machine learning, and outlines properties of machine learning models trained via such methods. In the first part of his thesis, Ma studies a range of problems, such as matrix completion, sparse coding, simplified neural networks, and learning linear dynamical systems, and formalizes clear and natural conditions under which one can design provable correct and efficient optimization algorithms. In the second part of his thesis, Ma shows how to understand and interpret the properties of embedding models for natural languages, which were learned using nonconvex optimization.

Ma is an Assistant Professor of Computer Science and Statistics at Stanford University. He received a PhD in Computer Science from Princeton University and a BS in Computer Science from Tsinghua University.

The 2018 Doctoral Dissertation Award recipients will be formally recognized at the annual ACM Awards Banquet on June 15 in San Francisco. 

About the ACM Doctoral Dissertation Award

Presented annually to the author(s) of the best doctoral dissertation(s) in computer science and engineering. The Doctoral Dissertation Award is accompanied by a prize of $20,000, and the Honorable Mention Award is accompanied by a prize totaling $10,000. Winning dissertations will be published in the ACM Digital Library as part of the ACM Books Series.

About ACM

ACM, the Association for Computing Machinery is the world’s largest educational and scientific computing society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.


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ACM CHI 2019 Conference Serves as Showcase for Ideas Shaping the Future

New York, NY, 
April 23, 2019 – The Association for Computing Machinery’s Special Interest Group on Computer Human Interaction (SIGCHI) will hold its annual flagship conference, the ACM Conference on Human Factors in Computing Systems (CHI 2019), in Glasgow, UK, on May 4-9, 2019. CHI is widely recognized as the most important global showcase for human-computer interaction.

Held annually since 1982, the CHI conference has consistently grown in prominence and attendance. Over the years, dozens of widely used products and technologies have debuted at CHI prior to market deployment, including the Internet of Things (IoT), smart homes, wearable devices, fitness tracking, social networking, instant text messaging, human-robot interaction, multi-touch and 3D interaction, and tangible interfaces, among others. As the premier worldwide forum for the exchange of information on all aspects of HCI, the CHI conference is often the first public demonstration of such advanced technologies.

“CHI offers a unique look into the inspiring visions of future technologies,” said Stephen Brewster, CHI 2019 Co-chair. “This year, we are proud to host the conference in the United Kingdom for the first time ever. We are also excited to continue the commitment to make CHI, and CHI content, more widely accessible, including livestreaming most paper sessions. As the premier international conference celebrating HCI innovation and exploring its tremendous potential, CHI 2019 promises to reflect the myriad ways these technologies are changing the ways in which we live and work.”

The theme of this year’s conference is “Weaving the Threads of CHI.” “In organizing this year’s event, we sought to celebrate the different threads of CHI: individuals from multiple disciplines, computing professionals and academics alike, reflecting different cultures, sectors, communities, and backgrounds, weaving into one cohesive community, with the shared end of developing technologies to work for people and for society,” added CHI 2019 Co-chair Geraldine Fitzpatrick. “We reflected this celebration of our differences and our commonalities in our Celtic knot logo, a symbol of strength and friendship.”

Additionally, a special UX practitioner event will be held to create better links between UX practitioners and researchers.


(Below is a partial list of events. For a complete calendar of accepted papers, workshops, and courses, visit the CHI 2019 Full Schedule of Events).

Keynote Speakers

Aleks Krotoski

“Touchies and Feelies: Everything I Know about Human Interfaces”
An award-winning broadcaster, journalist and academic who has been studying and writing about technology and interactivity since 1999, Krotoski is the host of The Guardian’s Tech Weekly podcast, and the BBC series ”Digital Human”; she also holds fellowships at the University of Oxford and at the London School of Economics. Krotoski will share what baking, beach volleyball, parenting and radio storytelling have taught her about how we interact with each other, ourselves and the world around us--and what this tells us about the possibilities for future social, digital humans. 

Ivan Poupyrev

Poupyrev is an award-winning technology leader, scientist, and designer working at the cutting edge of interactive technologies. He is currently Director of Engineering in Google’s Advanced Technology and Projects division, where he leads a team focused on inventing and developing interaction technologies and products for future digital lifestyle. Fast Company recognized him as one of the World’s 100 Most Creative People. Poupyrev will deliver the closing keynote of CHI2019, discussing his explorations of the present and the future where technology, connectivity and intelligence are woven into the very fabric of our lives.

CHI 2019 Research Paper Highlights


“Online Grocery Delivery Services: An Opportunity to Address Food Disparities in Transportation-scarce Areas”

Tawanna R. Dillahunt, Sylvia Simioni, Xuecong Xu, University of Michigan 
Online grocery delivery services present new opportunities to address food disparities, especially in underserved areas. This study evaluates such services’ potential to provide healthy-food access and influence healthy-food purchase among individuals living in transportation-scarce and low-resource areas, and also contributes policy recommendations to bolster affordability of healthy-food access and design opportunities to promote healthy foods to support the adoption and use of these services among low-resource and transportation-scarce groups.

“What Makes a Good Conversation? Challenges in Designing Truly Conversational Agents”
Leigh Clark, University College Dublin; Nadia Pantidi, University College Cork; Orla Cooney, University College Dublin; Philip Doyle, Sage Ireland, Diego Garaialde,  Justin Edwards, University College Dublin; Brendan Spillane, Trinity College Dublin; Christine Murad,  Cosmin Munteanu, University of Toronto; Vincent Wade, Trinity College Dublin; Benjamin R. Cowan, University College Dublin
Conversational agents promise conversational interaction but fail to deliver. The authors aim to understand what people value in conversation and how this should manifest in agents. Findings from a series of semi-structured interviews show people make a clear dichotomy between social and functional roles of conversation, emphasizing the long-term dynamics of bond and trust along with the importance of context and relationship stage in the types of conversations they have. Drawing on these findings the authors discuss key challenges for conversational agent design, most notably the need to redefine the design parameters for conversational agent interaction.

“Engagement with Mental Health Screening on Mobile Devices: Results from an Antenatal Feasibility Study”

Kevin Doherty, Trinity College Dublin; José Marcano-Belisario, Martin Cohn, Nikolaos Mastellos, Imperial College London; Cecily Morrison, Microsoft Research Cambridge; Josip Car, Imperial College London; Gavin Doherty, Trinity College Dublin

This paper presents the results of the first feasibility study to examine the potential of mobile devices

to engage women in antenatal (pre-birth) mental health screenings given that it is estimated that at least 50 percent of perinatal (the period immediately before and after birth) depression (PND) cases go undiagnosed.  PDN affects up to 15 percent of women within the United Kingdom and has a lasting impact on a woman’s quality of life, birth outcomes and her child’s development. Using a mobile application, 254 women attending 14 National Health Service midwifery clinics provided 2,280 momentary and retrospective reports of their wellbeing over a 9-month period, engaging with this technology regardless of age, education, wellbeing, number of children, marital or employment status, or past diagnosis of depression.

“‘I Feel It Is My Responsibility to Stream’: Streaming and Engaging with Intangible Cultural Heritage through Livestreaming”

Zhicong Lu, University of Toronto; Michelle Annett, University of Alberta; Mingming Fan, University of Toronto ; Nikolaos Mastellos, Imperial College London; Cecily Morrison, Microsoft Research Cambridge; Josip Car, Imperial College London; Gavin Doherty, Trinity College Dublin

To better understand the practices, opportunities, and challenges inherent in sharing and safeguarding Intangible Cultural Heritage through livestreaming, the authors conducted a qualitative investigation, finding that ICH streamers had altruistic motivations and engaged with viewers using multiple modalities beyond livestreams. The authors also found that livestreaming encouraged real-time interaction and sociality, while non-live, curated videos attracted attention from a broader audience and assisted in the archiving of knowledge, many practices are still in danger of being lost or forgotten forever. With the increased popularity of livestreaming in China, some streamers have begun to use livestreaming to showcase and promote ICH activities.

CHI 2019 Workshop Highlights

“Exploring Participatory Design Methods to Engage with Arab Communities”
Ebtisam Alabdulqader, Newcastle University; Shaimaa Lazem, City for Scientific Research and Technology Applications; Mohamed Khamis, LMU Munich; Susan Dray, Dray & Associates 
This workshop invites Arab and non-Arab researchers to discuss the extent to which participatory approaches are culturally and methodologically challenged in the Arab context. The workshop’s aim is to share experiences on designing with Arab communities, discuss and develop the facets of an Arab participatory design research agenda.

“Interacting with Autonomous Vehicles: Learning from other Domains”

Alexander Meschtscherjakov, University of Salzburg; Manfred Tscheligi, AIT Austrian Institute of Technology GmbH; Bastian Pfleging, LMU Munich; Shadan Sadeghian, OFFIS Institute for Information Technology; Wendy Ju, Cornell Tech; Philippe Palanque, University of Toulouse; Andreas Riener, Technische Hochschule Ingolstadt; Bilge Mutlu, University of Wisconsin; Andrew Kun, University of New Hampshire

This workshop aims at research and designs that have been done in areas where humans interact with autonomous systems such as automated vehicles, Human-Robot-Interaction (HRI), aeronautics and space, conversational agents, and smart devices. We discuss what can be learnt from other domains for the design and evaluation of autonomous vehicles.

A video highlighting demonstrations at the conference is here.

About the ACM CHI Conference

Originally a small conference for psychologists interested in user interface design, the annual CHI conference has grown to include a diverse group of interaction designers, computer scientists, engineering psychologists, developers, and performing artists. CHI also addresses the organizational integration of technology, and the use of technology in all areas of life.


SIGCHI, the ACM Special Interest Group on Computer-Human Interaction, is the premier international society for professionals, academics and students who are interested in human-technology and human-computer interaction (HCI). SIGCHI serves as a forum for ideas on how people communicate and interact with computer systems. This interdisciplinary group of computer scientists, software engineers, psychologists, interaction designers, graphic designers, sociologists, and anthropologists is committed to designing useful, usable technology which has the potential to transform individual lives.

About ACM

ACM, the Association for Computing Machinery, is the world’s largest educational and scientific computing society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence.  ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.

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