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Divide-and-conquer based summarization framework for extracting affective video content
YesRecent advances in multimedia technology have led to tremendous increases in the available volume of video data, thereby creating a major requirement for efficient systems to manage such huge data volumes. Video summarization is one of the key techniques for accessing and managing large video libraries. Video summarization can be used to extract the affective contents of a video sequence to generate a concise representation of its content. Human attention models are an efficient means of affective content extraction. Existing visual attention driven summarization frameworks have high computational cost and memory requirements, as well as a lack of efficiency in accurately perceiving human attention. To cope with these issues, we propose a divide-and-conquer based framework for an efficient summarization of big video data. We divide the original video data into shots, where an attention model is computed from each shot in parallel. Viewer's attention is based on multiple sensory perceptions, i.e., aural and visual, as well as the viewer's neuronal signals. The aural attention model is based on the Teager energy, instant amplitude, and instant frequency, whereas the visual attention model employs multi-scale contrast and motion intensity. Moreover, the neuronal attention is computed using the beta-band frequencies of neuronal signals. Next, an aggregated attention curve is generated using an intra- and inter-modality fusion mechanism. Finally, the affective content in each video shot is extracted. The fusion of multimedia and neuronal signals provides a bridge that links the digital representation of multimedia with the viewer’s perceptions. Our experimental results indicate that the proposed shot-detection based divide-and-conquer strategy mitigates the time and computational complexity. Moreover, the proposed attention model provides an accurate reflection of the user preferences and facilitates the extraction of highly affective and personalized summaries.Supported by the ICT R&D program of MSIP/IITP. [2014(R0112-14-1014), The Development of Open Platform for Service of Convergence Contents]
From persuasion to negotiation in health promoting technology
Over recent years, designing technologies to promote health-related behavioural change has been an area of growing interest in HCI. Given the prevalence of self-monitoring and social facilitation in emerging designs, the assumption appears to be that increasing an individual’s awareness of his or her behaviour and the behaviour of others will promote behavioural change. This thesis argues that while this is true to some extent, this represents a somewhat naive view of how individuals come to make decisions regarding their health-related behaviours. Three qualitative studies within distinct health domains illustrate the complex nature of health-related behavioural change.
Weight Management was an inherently social activity, albeit subject to selective disclosure and incremental participation. Individuals were generally motivated by appearance rather than health, implementing change based on exposure and orientation to alternative strategies. In Families at Risk, caregivers were highly motivated by a desire to safeguard the health of their children but were restricted by a lack of financial and strategic resources. Lack of trust and a transient community contributed to social isolation, thus inhibiting opportunities for collaboration. In Cardiac Rehabilitation, behavioural change efforts were prompted by an acute health crisis and guided by health professionals. However, behavioural change efforts were sometimes restricted by a desire to return to normal, tensions arising when what was considered normal was composed of risk behaviours. Family involvement varied greatly, ranging from disregard to facilitating change, and a desire for independence and ownership of the rehabilitation sometimes restricted the active involvement of peers.
Informed by the findings of these studies this thesis highlights the strengths and limitations of current technological approaches to promoting behavioural change, provides implications for design, and supported by the sociomedical literature, identifies alternative avenues of technological innovation. The thesis reflects on technology’s role in health-related behavioural change and considers associated ethical implications. Overall, the main contribution of this thesis is a reframing of the problem of promoting health-related behavioural change as more than a matter of behavioural awareness and personal motivation. While it is understandable that technologists would look to the clinical domain to inform initial investigations in this area, this thesis argues that technologists should be cautious about blindly adopting its prescriptive paradigm. As an alternative to persuasion, this thesis offers negotiation as a potential model for future innovations in this area