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Patricia B. Malik

dblp:371/1390 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0002-1597-5164ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Accessibility and assistive technology · 67% Interaction techniques and input · 33%
Artificial intelligence
1 paper
Motion planning and robot control · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input › hands-free interaction
hands-free input
0.812024
Driving a Ballbot Wheelchair with Hands-Free Torso Control · HRI 2024
Accessibility and assistive technology
mobility assistance
0.812024
Driving a Ballbot Wheelchair with Hands-Free Torso Control · HRI 2024
Accessibility and assistive technology › mobility assistance
wheelchair control
0.812024
Driving a Ballbot Wheelchair with Hands-Free Torso Control · HRI 2024
Robotics › Motion planning and robot control
omnidirectional mobile robot
0.212024
Driving a Ballbot Wheelchair with Hands-Free Torso Control · HRI 2024

Methods — techniques the papers use, named apart from their topics

user study · 1.5repeated-measures MANOVA · 1.5
YearPublicationVenuePosition
2024 Driving a Ballbot Wheelchair with Hands-Free Torso Control
abstract
A novel wheelchair called PURE (Personalized Unique Rolling Experience) that uses hands-free (HF) torso lean-to-steer control has been developed for manual wheelchair users (mWCUs). PURE addresses limitations of current wheelchairs, such as the inability to use both hands for life experiences instead of propulsion. PURE uses a ball-based robot drivetrain to offer a compact, self-balancing, omnidirectional mobile device. A custom sensor system converts rider torso motions into direction and speed commands to control PURE, which is especially useful if a rider has minimal torso range of motion. We explored whether PURE's HF control performed as well as a traditional joystick (JS) human-robot interface and mWCUs, who may have reduced torso motion, performed as well as able-bodied users (ABUs). 10 mWCUs and 10 ABUs were trained and tested to drive PURE through courses replicating indoor environments. Each participant adjusted personal sensitivity settings for both HF and JS control. Repeated-measures MANOVA tests suggested that the effectiveness (number of collisions), efficiency (completion time), comfort (NASA TLX scores except physical demand), and robustness (index of performances) were similar for HF and JS control and between mWCUs and ABUs for all sections. These results suggest that PURE provides an effective method for controlling this new omnidirectional wheelchair by only using torso motion thus leaving both hands to be used for other tasks during propulsion.
Seung Yun Song, Nadja Marin, Chenzhang Xiao, Mahshid Mansouri, João Ramos 0004, Yu Chen 0071, Adam Bleakney, Deana McDonagh, William R. Norris 0001, Jeannette Elliott, Patricia B. Malik, Elizabeth T. Hsiao-Wecksler
HRI11