HCI 2011

In this work, we will examine how mobile device could predict users’ wishes regarding the push services like incoming mobile phone call. We conducted some experiments in order to get contextual data and then did analysis, a limited number of sensors were tagged to the user which were meant to detect certain characteristics of the environment the users were in, such as light sensor, temperature sensor, surrounding audio/noise level. Our results show that machine learning algorithms were able to classify the instances correctly with a high accuracy rate.

While many models exist to support the design process of a software development project, the evaluation process is far less well defined and this lack of definition often leads to poorly designed evaluations, or the use of the wrong evaluation method. Evaluations of products for children can be especially complex as they need to consider the different requirements and aims that such a product may have, and often use new or developing evaluation methods. This paper takes the view that evaluations should be planned from the start of a project in order to yield the best results, and proposes a framework to facilitate this.

This study uses minimally invasive technology to monitor the emotional response of a subject during stress inducing psychological tasks. The goal of these tasks is to investigate the possibility of measuring and subsequently categorising the subject’s level of stress using biosignal devices

This paper addresses the debate regarding the respective merits of high and low fidelity prototypes, in the domain of video prototyping

Museum and art-gallery curators have long had specialist collection management systems to facilitate access to works of art that were not available to the general public. The increasing availability of aesthetic images on the World Wide Web, however, especially through museum and gallery web pages, went hand in hand with an increasing sophistication of search paradigms. Retrieval methods have, in a literal and metaphorical sense, become multi-faceted. Art image retrieval can, depending on the retrieval task, draw to a greater or lesser extent on a rich body of expert knowledge from the domain of art history. We have conducted an exploratory study analysing the use of query terms for the same set of target images among a group of art specialists and laypersons

Exponential growth of user-generated content (UGC) on the Web demands an effective way for information consumers to acquire what they need. Specialized UGC search services outperform general-purpose search engines that usually have difficulties retrieving UGC or rank them low. However, with existing UGC search services, consumers may only be able to acquire information that is related to their needs rather than the exact information what they want. In this paper, we present a novel consumer-led interactive search approach that can help consumers acquire the information they exactly want through a consumer-led interactive search process where invited information providers jointly create such information on the fly.

Recent proof-of-concept research has appeared showing the applicability of Brain Computer Interface (BCI) technology in combination with the human visual system, to classify images. The basic premise here is that images that arouse a participant’s attention generate a detectable response in their brainwaves, measurable using an electroencephalograph (EEG). When a participant is given a target class of images to search for, each image belonging to that target class presented within a stream of images should elicit a distinctly detectable neural response. Previous work in this domain has primarily focused on validating the technique on proof of concept image sets that demonstrate desired properties and on examining the capabilities of the technique at various image presentation speeds. In this paper we expand on this by examining the capability of the technique when using a reduced number of channels in the EEG, and its impact on the detection accuracy.

This paper defines the field of Child Computer Interaction. Beginning with an historical look at this field, and identifying some of the key moments in its development, the work then brings together reflection from experience, and knowledge from literature, to describe and define Child Computer Interaction.

The paper proposes a software development methodology which also employs the participatory action research (PAR) method given that PAR has been successfully employed in projects in rural communities. Arguments for this approach are provided, discussed in the context of software development for rural communities.

This paper covers the findings of a qualitative study of facial animation, in which a cohort of student animators were tasked with producing spatiotemporally configured emotional expression animations.