GAMES Webinar 2018-44期（CHI 2018论文）| 韩腾（加拿大曼尼托巴大学），王大阔（IBM研究院）
【GAMES Webinar 2018-44期（CHI 2018论文）】
报告时间：2018年5月3日（星期四）晚20:00 – 20:45（北京时间）
报告题目：PageFlip: Leveraging Page-Flipping Gestures for Efficient Command and Value Selection on Smartwatches
Selecting an item of interest on smartwatches can be tedious and time-consuming as it involves a series of swipe and tap actions. We present PageFlip, a novel method that combines into a single action multiple touch operations such as command invocation and value selection for efficient interaction on smartwatches. PageFlip operates with a page flip gesture that starts by dragging the UI from a corner of the device. We first design PageFlip by examining its key design factors such as corners, drag directions and drag distances. We next compare PageFlip to a functionally equivalent radial menu and a standard swipe and tap method. Results reveal that PageFlip improves efficiency for both discrete and continuous selection tasks. Finally, we demonstrate novel smartwatch interaction opportunities and a set of applications that can benefit from PageFlip.
I am a PhD student in the HCI Lab at the University of Manitoba, Canada, where I work with Prof. Pourang Irani. My research interest is Human Computer Interaction, in the areas of innovative input and ouput methodologies, computer aided creative tools, and mobile interfaces and pedagogical systems. I got my master degree (July, 2012) from the Bristol Interaction Group, University of Bristol, UK, under the supervision of Prof. Sriram Subramanian, and bachelor degree (July, 2009) in Industrial Design from the Xi’an Jiaotong University (西安交通大学), China. Before coming to Manitoba, I did internship at Microsoft Research Asia, Lenovo Research Beijing, mentored by Dr. Xiang Cao in 2011 and 2014, respectively. From 2012 to 2013, I was a student of Dr. Jingtao Wang at the University of Pittsburgh, USA. In 2017, I visited Prof. Xing-Dong Yang at the Dartmouth College, USA, as a research student.
报告时间：2018年5月3日（星期四）晚21:00 – 21:45（北京时间）
报告题目：A Peek into the future: Human-AI Colaboration
Collaboration is an essential activity in all kinds of work, and it is not easy. That is why Human Computer Interaction (HCI) researchers have spent decades of efforts in designing computer systems to support it. Given the recent advance of Artificial Intelligent (AI) techniques, particularly in the intelligent conversational agent (CA) domain, my colleagues and I at IBM Research started to investigate how to design CAs to support future collaborations. We envision that there is a possible future that humans and AI will collaborate with each other to accomplish tasks. In this talk, I will present some preliminary work that we have done at IBM Research in designing and developing CAs that aims to work together with humans in future’s collaborations.
Dakuo Wang is a Research Scientist in the Human-Agent Collaboration group at IBM T.J. Watson Research Center. He studies problems at the intersection of technology and humans in collaboration. He got his Ph.D. from the Informatics Department at the University of California Irvine in 2016, where he worked in the Hana Research Group with Judy and Gary Olson on the collaborative writing topic. At Irvine, he also collaborated with Gloria Mark on Internet users’ experience of censorship. He previously earned an MS in Electrical Engineering and Computer Science at the University of California Irvine, a Diplôme d’Ingénieur (MS) in Information System at École Centrale d’Électronique Paris, and BS in Computer Science at the Beijing University of Technology. He has worked in the fields of engineering (France Telecom) and of user experience research and design, in France, China, and the U.S.
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