A sensory-based adaptive walking control algorithm for variable speed biped robot gaits

A balance scheme for handling variable speed gaits was implemented on an experimental biped. The control scheme used pre-planned but adaptive motion sequences in combination with closed loop reactive control. CMAC neural networks were responsible for the adaptive control of side-to-side and front-to-back balance. The biped performance improved with neural network training. The biped was able to walk with variable speed gaits, and to change gait speeds on the fly. The slower gait speeds required statically balanced walking, while the faster speeds required dynamically balanced walking. It was not necessary to distinguish between the two balance modes within the controller. Following training, the biped was able to walk with continuous motion on flat, non-slippery surfaces at forward progression velocities in the range of 21 cm/min to 72 cm/min, with average stride lengths of 6.5 cm

Designing an Inclusive and Engaging Hybrid Event: Experiences from CHIWORK

Conferences are a key place for training and education. Attendees learn about the state of the art of their field, about relevant methods, and acquire networking skills that can support their work. In the world that was changed by the COVID-19 pandemic, we often need to organize hybrid training and education events, including conferences, with both in-person and remote attendees. Both organizers and attendees are eager for events that are productive, safe, and that bring together a diverse group of our colleagues, across multiple fields of study, multiple countries, as well as with different capacities to travel and attend in-person and remote meetings. However, the best practices for such hybrid events are still under development. In this document we hope to contribute to this development of best practices: we report on our experiences in organizing a small, hybrid conference, and provide the lessons we learned through this process

Working harder and longer: how managers use their time when working from home

Managers worked longer hours during the pandemic and changed how they used their time, find Thomaz Teodorovicz, Raffaella Sadun (Harvard Business School), Andrew L. Kun (University of New Hampshire), and Orit Shaer (Wellesley College). They suggest how better technology, including AI, could help them overcome the downsides to working from home

How does working from home during Covid-19 affect what managers do? Evidence from time-use studies

We assess how the sudden and widespread shift to working from home during the pandemic impacted how managers allocate time throughout their working day. We analyze the results from an online time-use survey with data on 1,192 knowledge workers (out of which 973 are managers) in two waves, a pre-pandemic wave collected in August/2019 (615 participants, out of which 506 are managers) and a post-pandemic wave collected in August/2020 (577 participants, out of which 464 are managers). Our findings indicate that the forced transition to WFH created by the COVID pandemic was associated with a drastic reduction in commuting time for managers, but also an increase in time spent in work rather than on personal activities. This included reallocating time gained from commuting into more time spent in meetings, possibly to recoup some of the extemporaneous interactions that typically happen in the office. This change is particularly pronounced for managers employed in larger organizations. We use the results from the time-use studies to discuss implications for the development of new technologies

Multitasking while driving: a time use study of commuting knowledge workers to access current and future uses

Commuting has enormous impact on individuals, families, organizations, and society. Advances in vehicle automation may help workers employ the time spent commuting in productive work-tasks or wellbeing activities. To achieve this goal, however, we need to develop a deeper understanding of which work and personal activities are of value for commuting workers. In this paper we present results from an online time-use study of 400 knowledge workers who commute-by-driving. The data allow us to study multitasking-while-driving behavior of com-muting knowledge workers, identify which non-driving tasks knowledge workers currently engage in while driving, and the non-driving tasks individuals would like to engage in when using a safe highly automated vehicle in the future. We discuss the implications of our findings for the design of technology that supports work and wellbeing activities in automated cars

Interacting with Autonomous Vehicles: Learning from other Domains

The rise of evermore autonomy in vehicles and the expected introduction of self-driving cars have led to a focus on human interactions with such systems from an HCI perspective over the last years. Automotive User Interface researchers have been investigating issues such as transition control procedures, shared control, (over)trust, and overall user experience in automated vehicles. Now, it is time to open the research field of automated driving to other CHI research fields, such as Human-Robot-Interaction (HRI), aeronautics and space, conversational agents, or smart devices. These communities have been dealing with the interplay between humans and automated systems for more than 30 years. In this workshop, we aim to provide a forum to discuss what can be learnt from other domains for the design of autonomous vehicles. Interaction design problems that occur in these domains, such as transition control procedures, how to build trust in the system, and ethics will be discussed

Engineered Healing of Avascular Meniscus Tears by Stem Cell Recruitment

Meniscus injuries are extremely common with approximately one million patients undergoing surgical treatment annually in the U.S. alone. Upon injury, the outer zone of the meniscus can be repaired and expected to functionally heal but tears in the inner avascular region are unlikely to heal. To date, no regenerative therapy has been proven successful for consistently promoting healing in inner-zone meniscus tears. Here, we show that controlled applications of connective tissue growth factor (CTGF) and transforming growth factor beta 3 (TGFβ3) can induce seamless healing of avascular meniscus tears by inducing recruitment and step-wise differentiation of synovial mesenchymal stem/progenitor cells (syMSCs). A short-term release of CTGF, a selected chemotactic and profibrogenic cue, successfully recruited syMSCs into the incision site and formed an integrated fibrous matrix. Sustain-released TGFβ3 then led to a remodeling of the intermediate fibrous matrix into fibrocartilaginous matrix, fully integrating incised meniscal tissues with improved functional properties. Our data may represent a novel clinically relevant strategy to improve healing of avascular meniscus tears by recruiting endogenous stem/progenitor cells

Pattern of progression in advanced hepatocellular carcinoma treated with ramucirumab

Background & aims: Radiological progression patterns to first-line sorafenib have been associated with post-progression and overall survival in advanced hepatocellular carcinoma, but these associations remain unknown for therapies in second- and later-line settings. This post hoc analysis of REACH and REACH-2 examined outcomes by radiological progression patterns in the second-line setting of patients with advanced hepatocellular carcinoma treated with ramucirumab or placebo.Methods: Patients with advanced hepatocellular carcinoma, Child-Pugh A and Eastern Cooperative Oncology Group Performance Status 0 or 1 with prior sorafenib were randomized to receive ramucirumab 8mg/kg or placebo every 2 weeks. Among 625 patients with ≥1 progression pattern (new extrahepatic lesion [including new macrovascular invasion], new intrahepatic lesion, extrahepatic growth or intrahepatic growth), data were analysed by trial and for pooled individual patient data for REACH-2 and REACH (alpha-fetoprotein ≥400 ng/mL). Cox models evaluated prognostic implications of progression patterns on overall and post-progression survival. Results: Post-progression survival was worse among those with new extrahepatic lesions in REACH (HR 2.33, 95% CI 1.51-3.60), REACH-2 (HR 1.49, 95% CI 0.72-3.08) and the pooled population (HR 1.75, 95% CI 1.12-2.74) compared to other progression patterns. Overall survival was also significantly reduced in those with new extrahepatic lesions across studies. Ramucirumab provided an overall survival benefit across progression patterns, including patients with new extrahepatic lesions (HR 0.56, 95% CI 0.39-0.80) in the pooled population. Conclusions: The emergence of new extrahepatic lesions in the second-line setting is a poor prognostic factor for post-progression survival. The benefit of ramucirumab for overall survival was consistent across progression patterns

CLW 2014: The Fourth Workshop on Cognitive Load and In-Vehicle Human- Machine Interaction

Abstract Interactions with in-vehicle electronic devices can interfere with the primary task of driving and increase crash risk. Interactions with in-vehicle interfaces draw upon visual, manipulative and cognitive resources, with this workshop focusing on cognitive resources for which measurement processes are less well known or established. This workshop will focus on two methods of measuring cognitive load, the Decision Response Time Task and collecting eye fixation data. The workshop will describe and demonstrate how they are collected, and discuss how the resulting data are reduced and analyzed. The focus will be on practical aspects of collecting and analyzing data using these methods, not on reporting research results