Gender differences in mediated communication: Women connect more than do men

Past research in gender differences in the overall Internet use has been contradictory. Some asserted men used it more than women, while others asserted there were no gender difference. Both camps concluded that men and women differed in their motivation and utilization of time spent online. The purpose of the present research was to take a contemporary look at these gender differences. Using an online survey, we asked participants about their experiences with multiple forms of mediated communication: social networking sites, e-mail, video calls, instant messaging, texting, and phone calls. Our results indicated that women, compared to men, are generally more frequent mediated communication users. Compared to men, women prefer and more frequently use text messaging, social media, and online video calls. These results suggest that the nature of mediated social interaction is changing.     

Telehealth and ubiquitous computing for bandwidth-constrained rural and remote areas

The information and communication technology infrastructure available in rural and remote areas may often not have the bandwidth to support all types of telehealth applications; therefore, for example, some traditionally envisaged videoconferencing-based telehealth applications may not be able to be used or not used in their anticipated form at this time. While the level of broadband services available may impose limitations on these types of telehealth applications, in this review article, we identify applications that allow the maximizing of telehealth benefits in the presence of low-bandwidth connectivity and have potential benefits well-matched to rural and remote area healthcare challenges. In particular, we include consideration of how ubiquitous computing might potentially bring non-traditional approaches to telehealth that can also come into usage more immediately in bandwidth-constrained rural and regional areas. In this article, we review the benefits of ubiquitous computing for rural and remote telehealth including social media-based preventative, peer support and public health communication, mobile phone platforms for the detection and notification of emergencies, wearable and ambient biosensors, the utilization of personal health records including in conjunction with mobile and sensor platforms, chronic condition care and management information systems, and mobile device–enabled video consultation.     

Sequelae of cesarean and vaginal deliveries: Psychosocial outcomes for mothers and infants.

Mother-infant dyads grouped according to whether the infants had been delivered vaginally (n?=?74) or by planned (n?=?37) or unplanned cesarean (n?=?56) were compared on psychosocial outcomes at 4 and 12 months postpartum. Hypotheses were that unplanned cesarean delivery would be related to less optimal outcomes and that this relationship would be mediated by mother's appraisal of the delivery and would attenuate over time. No delivery-related differences in mother–infant interactions were found at 4 or 12 months postpartum with one exception: Women low in neuroticism who delivered by unplanned cesarean showed less positive affect toward their infants at 4 months than did women high in neuroticism who delivered by unplanned cesarean or women in any other group. There was some evidence of the mediating role of maternal appraisal of the delivery on these effects. In general, the results indicate little cause for concern about the quality of mother–infant interactions following cesarean deliveries. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Normality and impairment following profound early institutional deprivation: A longitudinal follow-up into early adolescence.

Longitudinal analyses on normal versus impaired functioning across 7 domains were conducted in children who had experienced profound institutional deprivation up to the age of 42 months and were adopted from Romania into U.K. families. Comparisons were made with noninstitutionalized children adopted from Romania and with nondeprived within-U.K. adoptees placed before the age of 6 months. Specifically, the validity of the assessment, the degree of continuity and change in levels of functioning from 6 to 11 years, and the factors in the pre- and postadoption environment accounting for heterogeneity in outcome were examined. Pervasive impairment was significantly raised in children experiencing institutional deprivation for ≥6 months of life, with a minority within this group showing no impairment. There was no additional significant effect of duration of deprivation beyond the 6-month cutoff, and few other predictors explained outcome. The pattern of normality/impairment was mainly established by 6 years of age, with considerable continuity at the individual level between 6 and 11 years. The findings are discussed in terms of the possibility of a sensitive period for development. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Speeding up dynamic time warping distance for sparse time series data

Dynamic time warping (DTW) distance has been effectively used in mining time series data in a multitude of domains. However, in its original formulation DTW is extremely inefficient in comparing long sparse time series, containing mostly zeros and some unevenly spaced nonzero observations. Original DTW distance does not take advantage of this sparsity, leading to redundant calculations and a prohibitively large computational cost for long time series. We derive a new time warping similarity measure (AWarp) for sparse time series that works on the run-length encoded representation of sparse time series. The complexity of AWarp is quadratic on the number of observations as opposed to the range of time of the time series. Therefore, AWarp can be several orders of magnitude faster than DTW on sparse time series. AWarp is exact for binary-valued time series and a close approximation of the original DTW distance for any-valued series. We discuss useful variants of AWarp: bounded (both upper and lower), constrained, and multidimensional. We show applications of AWarp to three data mining tasks including clustering, classification, and outlier detection, which are otherwise not feasible using classic DTW, while producing equivalent results. Potential areas of application include bot detection, human activity classification, search trend analysis, seismic analysis, and unusual review pattern mining.     

Artificial intelligence and natural magic

Robotics with AI is part of a long tradition that has run from ancient times that treated the precursors of robots, the automata, as part of Natural Magic or conjury. Deception is an integral part of AI and robotics; in some ways they form a science of illusion. There are many robot tasks, such as caring for the elderly, minding children, doing domestic chores and being companionable, that involve working closely with humans and so require some illusion of animacy and thought. We discuss how the natural magic of robotics is assisted by the cultural myth of AI together with innate human predispositions such as zoomorphism, the willing suspension of disbelief and a tendency to interpret AI devices as part of the social world. This approach provides a justifiable way of meeting the goals of AI and robotics provided that researchers do not allow themselves to be deceived by their own illusions.     

EXPLORING PEN-BASED COMPUTER TECHNOLOGY

Some industry analysts believe that the impact of pen-based computers—also referred to as notepad or stylus computers and electronic slates—rivals that of desktop machines. This column describes how pen-based computers work and offers some suggestions for IS managers who want to implement pen-based computers into the current work environment.     

All about me: Disclosure in online social networking profiles: The case of FACEBOOK

The present research examined disclosure in online social networking profiles (i.e., FACEBOOK™). Three studies were conducted. First, a scoring tool was developed in order to comprehensively assess the content of the personal profiles. Second, grouping categories (default/standard information, sensitive personal information, and potentially stigmatizing information) were developed to examine information pertinent to identity threat, personal and group threat. Third, a grouping strategy was developed to include all information present in FACEBOOK™, but to organize it in a meaningful way as a function of the content that was presented. Overall, approximately 25% of all possible information that could potentially be disclosed by users was disclosed. Presenting personal information such as gender and age was related to disclosure of other sensitive and highly personal information. Age and relationship status were important factors in determining disclosure. As age increased, the amount of personal information in profiles decreased. Those seeking a relationship were at greatest risk of threat, and disclosed the greatest amount of highly sensitive and potentially stigmatizing information. These implications of these findings with respect to social and legal threats, and potential means for identifying users placing themselves at greatest risk, are discussed.