Learning faces from variability

Research on face learning has tended to use sets of images that vary systematically on dimensions such as pose and illumination. In contrast, we have proposed that exposure to naturally varying images of a person may be a critical part of the familiarization process. Here, we present two experiments investigating face learning with “ambient images”—relatively unconstrained photos taken from internet searches. Participants learned name and face associations for unfamiliar identities presented in high or low within-person variability—that is, images of the same person returned by internet search on their name (high variability) versus different images of the same person taken from the same event (low variability). In Experiment 1 we show more accurate performance on a speeded name verification task for identities learned in high than in low variability, when the test images are completely novel photos. In Experiment 2 we show more accurate performance on a face matching task for identities previously learned in high than in low variability. The results show that exposure to a large range of within-person variability leads to enhanced learning of new identities

Harnessing Technology: new modes of technology-enhanced learning: opportunities and challenges

A report commissioned by Becta to explore the potential impact on education, staff and learners of new modes of technology enhanced learning, envisaged as becoming available in subsequent years. A generative framework, developed by the researchers is described, which was used as an analytical tool to relate the possibilities of the technology described to learning and teaching activities. This report is part of the curriculum and pedagogy strand of Becta's programme of managed research in support of the development of Harnessing Technology: Next Generation Learning 2008-14. A system-wide strategy for technology in education and skills. Between April 2008 and March 2009, the project carried out research, in three iterative phases, into the future of learning with technology. The research has drawn from, and aims to inform, all UK education sectors

Actors, Avatars and Agents: Potentials and Implications of Natural Face Technology for the Creation of Realistic Visual Presence

We are on the cusp of creating realistic, interactive, fully rendered human faces on computers that transcend the “uncanny valley,” widely known for capturing the phenomenon of “eeriness” in faces that are almost, but not fully realistic. Because humans are hardwired to respond to faces in uniquely positive ways, artificial realistic faces hold great promise for advancing human interaction with machines. For example, realistic avatars will enable presentation of human actors in virtual collaboration settings with new levels of realism; artificial natural faces will allow the embodiment of cognitive agents, such as Amazon’s Alexa or Apple’s Siri, putting us on a path to create “artificial human” entities in the near future. In this conceptual paper, we introduce natural face technology (NFT) and its potential for creating realistic visual presence (RVP), a sensation of presence in interaction with a digital actor, as if present with another human. We contribute a forward-looking research agenda to information systems (IS) research, comprising terminology, early conceptual work, concrete ideas for research projects, and a broad range of research questions for engaging with this emerging, transformative technology as it becomes available for application. By doing so, we respond to calls for “blue ocean research” that explores unchartered territory and makes a novel technology accessible to IS early in its application. We outline promising areas of application and foreshadow philosophical, ethical, and conceptual questions for IS research pertaining to the more speculative phenomena of “living with artificial humans.

Shared Experiences

Disciplines often approach phenomena from different perspectives and with different research tools. We offer this example of our efforts to embrace the wider CHI values through the exploration of emotive digital humans deployed in HCI. We designed and conducted an HCI experiment with mixed methods. In building an infrastructure that benefits from the strengths of both AIS SIGHCI and ACM SIGCHI research communities, we chose an approach that could reveal undisclosed worlds, hard to see from just one perspective. As technology offers HCI digital humans, new combined shared approaches may be needed to gain insights, especially prior to their wide scale deployment. As bridging related disciplines has failed in the past, perhaps a new approach is needed, one of shared experiences, especially when exploring new technological phenomeno

Spaces for knowledge generation. Final report

The Spaces for knowledge generation: a framework for designing student learning environments for the future project has been funded via an Australian Learning and Teaching Council Priority Projects Grant and aims to address the need to create learning spaces that are based on strong design principles, informed by student needs, with the aim of producing forward-looking, flexible and sustainable Learning Spaces. Integral to the process is fostering the adoption of teaching practices to support student-directed learning and knowledge production. Longer-term outcomes include strategic cultural change to university practices and physical changes to campuses to advance learning and teaching

ICPR2017 – The Fourth International Conference on Practice Research: overview

This paper reports issues arising from the Fourth International Conference on Practice Research, held in Hong Kong in May 2017. The issues were identified by specially convened group of conference participants, and include the need to develop a better language to describe practice research in terms that make sense to practitioners, improved support for practitioners to conduct research, recognising the different drivers for practice research in different countries, and enhancing practitioners' coordinating and leadership roles

Viewers extract the mean from images of the same person: a route to face learning

Research on ensemble encoding has found that viewers extract summary information from sets of similar items. When shown a set of four faces of different people, viewers merge identity information from the exemplars into a representation of the set average. Here, we presented sets containing unconstrained images of the same identity. In response to a subsequent probe, viewers recognized the exemplars accurately. However, they also reported having seen a merged average of these images. Importantly, viewers reported seeing the matching average of the set (the average of the four presented images) more often than a nonmatching average (an average of four other images of the same identity). These results were consistent for both simultaneous and sequential presentation of the sets. Our findings support previous research suggesting that viewers form representations of both the exemplars and the set average. Given the unconstrained nature of the photographs, we also provide further evidence that the average representation is invariant to several high-level characteristics

Acoustics in water: synergies with marine biology

This paper presents some of the bioacoustics related analysis that was performed on the ANTARES data, focussing on the year 2014. The data was processed for sperm whale, dolphin and shipping presence and grouped by hour of the day. It seemed that dolphins were more socially active during the day and foraging during the night. Sperm whales were mostly foraging during the day, but they may have been moving to other areas during the night. The most intense shipping noise came from a ferry that passed the platform twice a day. Although beaked whales were expected to be present in the area, so far their biosonar signal has not been conclusively found.Postprint (published version

Publication bias in clinical trials

This is the protocol for a review and there is no abstract. The objectives are as follows: To summarise evidence of publication bias for trials of health care interventions.Output Type: Protoco

Delayed Impairment of Postural, Physical, and Muscular Functions Following Downhill Compared to Level Walking in Older People

Transient symptoms of muscle damage emanating from unaccustomed eccentric exercise can adversely affect muscle function and potentially increase the risk of falling for several days. Therefore, the aims of the present study were to investigate the shorter- and longer-lasting temporal characteristics of muscle fatigue and damage induced by level (i.e., concentrically biased contractions) or downhill (i.e., eccentrically biased contractions) walking on postural, physical, and muscular functions in older people. Nineteen participants were matched in pairs for sex, age and self-selected walking speed and allocated to a level (n = 10, age = 72.3 ± 2.9 years) or downhill (n = 9, age = 72.1 ± 2.2 years) walking group. Postural sway, muscle torque and power, physical function (5× and 60 s sit-to-stand; STS), and mobility (Timed-Up-and-Go; TUG) were evaluated at baseline (pre-exercise), 1 min, 15 min, 30 min, 24 h, and 48 h after 30 min of level (0% gradient) or downhill (−10% gradient) walking on a treadmill. Following downhill walking, postural sway (+66 to 256%), TUG (+29%), 60 s STS (+29%), five times STS (−25%) and concentric power (−33%) did not change at 1–30 min post exercise, but were significantly different (p 0.05). These findings have established for the first time distinct impairment profiles between concentric and eccentric exercise. Muscle damage emanating from eccentrically biased exercise can lead to muscle weakness, postural instability and impaired physical function persisting for several days, possibly endangering older adult’s safety during activities of daily living by increasing the risk of falls