Comparing the Use of Single vs. Multiple Combined Abilities in Conducting Complex Computer Tasks Hands-free

• Published in: IEEE transactions on neural systems and rehabilitation engineering 2018-08
• Main Authors: Sahadat, M N, Alreja, Arish, Mikail, Nima, Ghovanloo, Maysam
• Format: Article
• Language: English
• ISSN: 1558-0210
• DOI: 10.1109/TNSRE.2018.2864120

Assistive technologies often focus on a remaining ability of their users, particularly those with physical disabilities, e.g. tetraplegia, to facilitate their computer access. We hypothesized that by combining multiple remaining abilities of the end users in an intuitive fashion, it is possible to improve the quality of computer access. In this study, 15 able-bodied subjects completed four computer access tasks without using their hands: center-out tapping, on-screen maze navigation, playing a game, and sending an email. They used the multimodal Tongue Drive System (mTDS), which offers proportional cursor control via head motion, discrete clicks via tongue gestures, and typing via speech recognition simultaneously. Their performances were compared against unimodal tongue gestures (TDS), and Keyboard & Mouse combination (KnM), as the gold standard. Center-out tapping task average throughputs using mTDS and TDS were 0.84 bps and 0.94 bps, which were 21% and 22.4% of the throughput using mouse, respectively, while the average error rate and missed targets using mTDS were 4.1% and 25.5% less than TDS. Maze navigation throughputs using mTDS and TDS were 0.35 bps and 0.46 bps, which were 16.6% and 21.8% of the throughput using mouse, respectively. Participants achieved 72.32% higher score using mTDS than TDS when playing a simple game. Average email generating time with mTDS was ~2x longer than KnM with a mean typing accuracy of 78.1%. Engaging multimodal abilities helped participants perform considerably better in complex tasks, such as sending an email, compared to a unimodal system (TDS). Their performances were similar for simpler task, while multimodal inputs improved interaction accuracy. Cursor navigation with head motion led to higher score in less constrained tasks, such as game, than a highly constrained maze task.