New tool could help authors bust writer's block in novel-length works
Authors experiencing writer’s block could soon have a new way to help develop the next section of their story. Researchers at the Penn State College of Information Sciences and Technology recently introduced a new technology that forecasts the future development of an ongoing written story.
New framework could help teachers personalize their professional learning
Digital badges used as emblems to indicate an accomplishment or skill is a concept familiar to online learners seeking advanced knowledge in their profession. For many learners, digital badges have been used as a motivation to continue along a prescribed path — often through workshop attendance or completion of required online learning modules.
Block by block: Researchers use Minecraft to advance artificial intelligence
Researchers received a $900,000 grant to create artificial intelligence that can plan for and solve future problems. They will test the new software on the video game Minecraft.
Counting pandemic behaviors to inform public health decisions
The COVID-19 pandemic has brought many significant changes to people's lives, but one of the most visible signals of this has been the proliferation of masks and other face-coverings in public spaces.
Honeypot security technique can also stop attacks in natural language processing
As online fake news detectors and spam filters become more sophisticated, so do attackers’ methods to trick them — including attacks through the “universal trigger.” In this learning-based method, an attacker uses a phrase or set of words to fool an indefinite number of inputs, which could lead to more fake news appearing in your social media fe
Networking and collaboration lead to best paper award for IST doctoral student
At the College of Information Sciences and Technology, doctoral student Jeongwon Jo has benefited from having access to an interdisciplinary network of experts and scholars to help advance her research.
Women and lower-education users more likely to tweet personal information
When it comes to what users share on Twitter, women and users who never attended college voluntarily disclose more personal information than users from other socioeconomic and demographic backgrounds — potentially making these populations more susceptible to online privacy threats, according to a recent study led by the Penn State College of Inf
Susser awarded Haile Family Early Career Professorship at IST
Assistant Professor Daniel Susser has been awarded the Haile Family Early Career Professorship in Information Sciences and Technology. The endowed position supports standout faculty members to foster a commitment to teaching, provide funds for emerging research, and offer recognition for their accomplishments.
IST faculty named executive VP of society on computer-human interaction
Shaowen Bardzell, professor of information sciences and technology, has been elected as executive vice-president for the Association for Computing Machinery Special Interest Group on Computer-Human Interaction (ACM SIGCHI), the premier international society for all professionals, academics and students interested in human-computer interaction.
$1.2 million NSF grant to create search engine for online privacy research
A $1.2 million National Science Foundation (NSF) grant will help researchers build a search engine and create other resources for scientists who need to scour billions of online documents to improve online privacy.
IST research well-represented at top Communities and Technologies conference
A research group from the Penn State College of Information Sciences and Technology is well-represented at the virtual 10th International Conference on Communities and Technology, which began June 21. Five papers from the Center for Human-Computer Interaction were accepted to the conference, representing 20% of the papers program.
Clickbait headlines might not lure readers as much, may confuse AI
A Penn State team of researchers found that clickbait often did not perform any better and, in some cases, performed worse than traditional headlines. They also found that artificial intelligence systems designed to spot clickbait struggled with the task.
Parenting teens: Is there an app for that?
Penn State researchers, with funding from the Mental Research Institute, are developing a smartphone app to promote positive, engaged family relationships that support healthy development for adolescents.
Treating non-humans as stakeholders key to sustainable technologies
Researchers from the Penn State College of Information Sciences and Technology made a methodological contribution toward a potential answer to the challenging problem of how to operationalize posthuman concepts into practice for human-computer interaction through the art of noticing — specifically, observing birds to reimagine their relationship
Gamrat co-authors book chapter on state of microlearning in higher ed
Chris Gamrat, instructional designer at the College of Information Sciences and Technology, is co-author on a chapter in the new book Microlearning in the Digital
Essential workers' tweets show surprising positivity during pandemic
During the COVID-19 pandemic, essential workers tweeted less often than general users about COVID-19 but more about overall mental health issues, according to researchers at the Penn State College of Information Sciences and Technology.
Study of police language aims to find patterns that may lead to tragic outcomes
With a new grant from the National Institutes of Health, an interdisciplinary team of researchers aims to examine police radio communications to observe what happens during adverse encounters between police officers and male minority youth and study any patterns of interaction that may lead to unfortunate or tragic outcomes.
Two faculty members receive Amazon Research Awards
Penn State faculty members James Wang, professor of information sciences and technology, and Rui Zhang, assistant professor of computer science and engineering, each received a 2020 Amazon Research Award, which was announced publicly in April of this year.
2021 Guentter Outstanding Undergraduate Thesis Award finalists, winner named
Penn State University Libraries and the Schreyer Honors College recognized the 10th annual finalist presentations and winner of the recently endowed Robert F. Guentter Jr. Outstanding Undergraduate Thesis Award on May 6, immediately following the three finalists’ remote presentations.
Observing eco farmers could guide sustainable information technology innovation
Cutting-edge agricultural technology has advanced in recent years, introducing innovations from self-driving tractors and laser scarecrows to robotic bees that aid in pollination.
Virtual conference explores artificial intelligence in a post-COVID world
On May 13, the Penn State Center for Socially Responsible Artificial Intelligence hosted "AI in a Post-COVID World," a virtual conference that will brought together experts from a variety of disciplines to discuss how artificial intelligence has aided in tackling the COVID-19 pandemic.
Twitter data unveils issues nursing mothers face, informs proposed interventions
Social media has become a platform for new mothers to openly share their experiences of the joys and challenges of parenthood.
Amazon Alexa skill offers supportive care to breast cancer patients
Penn State researchers have developed an Amazon Alexa skill to remotely deliver validated interventions to metastatic breast cancer patients in the comfort of their own homes.
AI Hub to help enhance Penn State's global leadership in artificial intelligence
Penn State has launched an expanded initiative in Artificial Intelligence (AI), termed the AI Hub, which will bring together the University’s considerable resources and talent in AI to further advance its position as a global leader developing fundamental innovations in AI, in using AI and machine learning (ML) to solve the hardest challenges, a
Penn State launches new artificial intelligence center for engineered systems
A newly founded, interdisciplinary research center established to further foundational and applied artificial intelligence in engineered systems will be housed in the School of Electrical Engineering and Computer Science in the Penn State College of Engineering.
Penn State center to advance AI tools to accelerate scientific progress
A new research center, the Center for Artificial Intelligence Foundations and Scientific Applications, or CENSAI, will unite Penn State researchers to explore the use of artificial intelligence as a tool to dramatically accelerate the scientific process, an initiative that the center’s organizers say could rapidly accelerate scientific progress.
Dual degrees shape research interests for IST assistant professor
Justin Silverman, who joined the College of Information Sciences and Technology last year as an assistant professor with a focus in biomedical statistics, made global headlines last summer for his study suggesting that 80% of U.S. COVID-19 cases went undetected in March 2020.
Explanations in online symptom checkers could improve user trust
Have you recently turned to your mobile device or computer to find out if your cough, sniffle or fever could be caused by COVID-19? The online symptom checker you used may have advised you to stay home and call your medical provider if symptoms worsen, or perhaps told you that you may be eligible for COVID-19 testing.
New AI framework introduced for cutting a 'multi-layered cake'
Expanding on an established problem in mathematics and computer science known as fair cake-cutting — a metaphor for cutting a cake in a way that each participant receives a slice that they believes to be fair — Hadi Hosseini, assistant professor at the Penn State College of Information Sciences and Technology, and his team have introduced a nove
IST faculty tips for post-pandemic instruction appear in EDUCAUSE Review
When remote teaching and learning abruptly replaced traditional classroom instruction at the start of the pandemic, innovations and adaptations were introduced that could be considered to continue in post-pandemic education, according to experts from the Penn State College of Information Sciences and Technology.
Shaowen Bardzell presents keynote at New Materialist Informatics 2021
Shaowen Bardzell, professor of information sciences and technology, presented a keynote address on March 23 at the virtual New Materialist Informatics 2021 conference.
IST researchers' book teaches how to build better complex systems interfaces
In a new book, "Building Better Interfaces for Remote Autonomous Systems: An Introduction for Systems Engineers," authors from the College of Information Sciences and Technology present a broad review of important design frameworks and concepts of human-computer interaction so that systems engineers can make better decisions and better
New tool could help lessen bias in live television broadcasts
From Sunday morning news shows to on-air pregame commentary in sports, live telecasts draw viewers into real-time content on televisions around the world.
New machine learning model could remove bias from social network connections
Did you ever wonder how social networking applications like Facebook and LinkedIn make recommendations on the people you should friend or pages you should follow?
AI can help reduce risk of HIV in high-risk communities
For nearly two decades, computer scientists have been exploring how a limited number of nodes in a social network can be used to maximize information dissemination.
IST professor named IFIP Pioneer in Human-Computer Interaction
John M. “Jack” Carroll, distinguished professor of information sciences and technology, is one of six recipients of the 2020/2021 Pioneer in Human-Computer Interaction Award of the International Federation for Information Processing Technical Committee on Human-Computer Interaction.
Summer program to offer research experience on machine learning in cybersecurity
Undergraduate students interested in research surrounding the topic of machine learning in cybersecurity are invited to apply for the 2021 NSF Research Experiences for Undergraduates Site Program, funded by the National Science Foundation.
Researchers test detection methods for AI-generated content
In an effort to combat malicious use of artificial intelligence text generators—for example, an adversary generating fake news to share on social media—researchers at the College of Information Sciences and Technology analyzed eight different state-of-the-art natural language generators to identify whether each had a distinct writing style that
Machine learning algorithm may be the key to timely, inexpensive cyber-defense
Attacks on vulnerable computer networks and cyber-infrastructure — often called zero-day attacks — can quickly overwhelm traditional defenses. A Penn State-led team of researchers has used a machine learning approach, based on a technique known as reinforcement learning, to create an adaptive cyber-defense against these attacks.
Facebook posts could identify substance use risk in homeless youth
What a person posts on Facebook could predict their risk for substance use, according to new research led by the Penn State College of Information Sciences and Technology.
Pandemic survey points to design improvements for future remote learning
Last March, the sudden onset of the COVID-19 pandemic severely impacted university operations around the world. Students and instructors quickly transitioned to remote education, demonstrating reliance on new technologies that may have otherwise never been used.
$500,000 grant funds creation of institute to advance AI for materials science
A National Science Foundation grant will help lay the foundation for an interdisciplinary institute that encourages the use of artificial intelligence-enabled materials discovery, design and synthesis, according to a team of researchers.
Rosson named Association for Computing Machinery fellow
Mary Beth Rosson, professor of information sciences and technology, has been named a 2020 Fellow of the Association for Computing Machinery for her contributions to human-computer interaction, including scenario-based design.
AI-defined COVID-19 testing strategy could lead to fewer infections
A new algorithm developed by researchers at the College of Information Sciences and Technology could help leaders of governments and organizations make better informed decisions on how many symptomatic and asymptomatic individuals to test for COVID-19 with a limited supply of daily tests, and at what stage of the pandemic.
Penn State researchers co-author book teaching 'Skills to Obstruct Pandemics'
A team led by Penn State faculty and students, along with expert collaborators, has co-authored a guide that teaches the essential knowledge and skills to help interrupt the transmission of COVID-19 and other infections.
What if opting out of data collection were easy?
A new multi-institution study shows a dearth of privacy opt-out choices and offers a solution to empower users to readily identify choices often buried deep in the text of privacy policies.
Study suggests smart assistant design improvements for deaf users
Despite the inherent challenges that voice-interaction may create, researchers recently found that deaf and hard-of-hearing users regularly use smart assistants like Amazon’s Alexa and Apple’s Siri in homes, workplaces and mobile devices — highlighting a clear need for more inclusive design.
Canevez named 2020 Computing Innovation Fellow
Richard Canevez, a doctoral student in the College of Information Sciences and Technology at Penn State, has been named to the 2020 Class of Computing Innovation Fellows by the Computing Research Association (CRA) and its Computing Community Consortium (CCC).
AI model could help patients predict disease risk with electronic health records
Electronic health records contain critical information for both medical providers and patients. But these records also contain information that could interfere with an artificial intelligence algorithm’s ability to predict patients’ risk for future disease.
Tricking fake news detectors with malicious user comments
New research from a team at Penn State’s College of Information Sciences and Technology shows how fake news detectors can be manipulated through user comments to flag true news as false and false news as true, even if the adversary is not the story’s original author.