Editing Human-centered computing (section)

== Projects ==

=== NASA/Ames Computational Sciences Division ===
[[File:NASA Mars Rover.jpg|thumb|NASA Mars Project]]
The Human-Centered Computing (HCC) group at NASA/Ames Computational Sciences Division is conducting research at Haughton as members of the Haughton-Mars Project (HMP) to determine, via an analog study, how we will live and work on Mars.<ref>{{Cite web|url=https://www.nasa.gov/centers/ames/research/technology-onepagers/hc-computing.html|title=NASA - Human Centered Computing|website=www.nasa.gov|language=en|access-date=2017-03-10}}</ref>
# '''HMP/Carnegie Mellon University (CMU) Field Robotics Experiments'''—HCC is collaborating with researchers on the HMP/CMU field robotics research program at Haughton to specify opportunities for robots assisting scientists. Researchers in this project have carried out a parallel investigation that documents work during traverses. A simulation module has been built, using a tool that represents people, their tools, and their work environment, that will serve as a partial controller for a robot that assist scientists in the field work in mars. When it comes to take human, computing and environment all into consideration, theory and techniques in HCC field will be the guideline.
# '''Ethnography of Human Exploration of Space'''—HCC lab is carrying out an ethnographic study of scientific field work, covering all aspects of a scientist's life in the field. This study involves observing as participants at Haughton and writing about HCC lab`s experiences. HCC lab then look for patterns in how people organize their time, space, and objects and how they relate to each other to accomplish their goals. In this study, HCC lab is focusing on learning and conceptual change.

=== Center for Cognitive Ubiquitous Computing (CUbiC) at Arizona State University ===
[[File:Note-Taker device and David Hayden.jpg|thumb|Note-Taker device with initial inventor David Hayden]]
Based on the principles of human-centered computing, the Center for Cognitive Ubiquitous Computing (CUbiC)<ref>{{cite web |url=https://cubic.asu.edu/ |access-date=28 December 2018|title=Home &#124; Center for Cognitive Ubiquitous Computing}}</ref> at [[Arizona State University]] develops assistive, rehabilitative and healthcare applications. Founded by [[Sethuraman Panchanathan]] in 2001, CUbiC research spans three main areas of multimedia computing: sensing and processing, recognition and learning, and interaction and delivery. CUbiC places an emphasis on transdisciplinary research and positions individuals at the center of technology design and development. Examples of such technologies include the Note-Taker,<ref>{{cite news |last1=Kullman |first1=Joe |title=Note-Taker device promises to help students overcome visual impairments |url=https://asunow.asu.edu/content/note-taker-device-promises-help-students-overcome-visual-impairments |access-date=28 December 2018 |publisher=ASU Now |date=23 August 2011}}</ref> a device designed to aid students with low vision to follow classroom instruction and take notes, and VibroGlove,<ref>{{cite web |last1=Panchanathan |first1=Sethuraman |last2=Krishna |first2=Sreekar |last3=Bala |first3=Shantanu |title=VibroGlove |url=https://cubic.asu.edu/content/vibroglove |website=CUbiC.asu.edu |access-date=28 December 2018}}</ref> which conveys facial expressions via haptic feedback to people with visual impairments.

In 2016, researchers at CUbiC introduced "Person-Centered Multimedia Computing",<ref>{{cite journal |last1=Panchanathan |first1=S. |last2=Chakraborty |first2=S. |last3=McDaniel |first3=T. |last4=Tadayon |first4=R. |title=Person-Centered Multimedia Computing: A New Paradigm Inspired by Assistive and Rehabilitative Applications |journal=IEEE MultiMedia |date=July–September 2016 |volume=23 |issue=3 |pages=12–19 |doi=10.1109/MMUL.2016.51 }}</ref> a new paradigm adjacent to HCC, which aims to understand a user's needs, preferences, and mannerisms including cognitive abilities and skills to design ego-centric technologies. Person-centered multimedia computing stresses the multimedia analysis and interaction facets of HCC to create technologies that can adapt to new users despite being designed for an individual.