Why do few assistive technology systems make it to market? The case of the HandyHelper project

Assistive technologies, such as telecare monitoring applications installed in the home, are being promoted to help reduce pressure on health care systems caused by an aging population and as such promise a large market for new products. However, despite many projects undertaken by commercial companies, and despite significant investments both by the companies and by national and international funding programs in the EU, such systems are not widespread. This paper reports on a retrospective study of the development of one early system, HandyHelper. We were interested in what challenges the development team faced and why the system is no longer on the market. Qualitative research methods were applied, including document analysis and interviews of key people involved in its development. Even though the system worked technically, the input of older users was sought, and a pilot installation was run, the development was stopped. The findings from a thematic analysis point to complex issues. Some problems were avoidable, e.g., by providing more support for new users, though other problems point to inherent tensions, such as the different needs of sensor-based security features and interactive services aimed at the older users. Yet other aspects are outside of the developer’s control, such as available public funding. We summarize these findings and suggest lessons learnt for future projects.

     

How gender-stereotypical are selfies? A content analysis and comparison with magazine adverts

Selfies (self-portrait photographs often taken with a camera phone) are popularly used for self-presentation in social media like Facebook and Instagram. These modern user-generated self-portraits have the potential to draw a more versatile picture of the genders instead of reproducing traditional gender stereotypes often presented in mainstream media and advertising. To investigate the degree of gender stereotyping in selfies, a random sample of 500 selfies uploaded on Instagram (50% representing females, 50% males) was drawn and subjected to quantitative content analysis. The degree of gender stereotyping in the selfies was measured using Goffman's (1979) and Kang's (1997) gender display categories (e.g. feminine touch, lying posture, withdrawing gaze, sparse clothing) plus three social media-related categories (kissing pout, muscle presentation, faceless portrayal). Additionally, gender stereotyping in selfies was directly compared to the degree of gender stereotyping in magazine adverts measured in the same way (Döring & Pöschl, 2006). Results reveal that male and female Instagram users' selfies not only reflect traditional gender stereotypes, but are even more stereotypical than magazine adverts.     

Why do we trust new technology? A study of initial trust formation with organizational information systems

Recent trust research in the information systems (IS) field has described trust as a primary predictor of technology usage and a fundamental construct for understanding user perceptions of technology. Initial trust formation is particularly relevant in an IS context, as users must overcome perceptions of risk and uncertainty before using a novel technology. With initial trust in a more complex, organizational information system, there are a number of external determinants, trusting bases, that may explain trust formation and provide organizations with the needed levers to form or change individuals’ initial trust in technology. In this study, a research model of initial trust formation is developed and includes trusting bases, trusting beliefs, trusting attitude and subjective norm, and trusting intentions. Eight trusting base factors are assessed including personality, cognitive, calculative, and both technology and organizational factors of the institutional base. The model is empirically tested with 443 subjects in the context of initial trust in a national identity system (NID). The proposed model was supported and the results indicate that subjective norm and the cognitive–reputation, calculative, and organizational situational normality base factors significantly influence initial trusting beliefs and other downstream trust constructs. Factors from some of the more commonly investigated bases, personality and technology institutional, did not significantly affect trusting beliefs. The findings have strategic implications for agencies implementing e-government systems and organizational information systems in general.     

What are the trend and core knowledge of information security? A citation and co-citation analysis

Information technology brings business success opportunities, but also causes potential safety hazards to organizations. In response to the increasing academia and industry concerns regarding information security (ISec), this study systematically explored extant ISec research and identified eight core knowledge groups, including (1) intrusion detection, (2) privacy protection, (3) secure machine learning, (4) cryptosystem, (5) data service security, (6) malware analysis, (7) security decision-making, and (8) security management. The detection of research hotspots shows that data service security and risk management garner the most current research attention. Furthermore, we establish a comprehensive ISec framework to help systematically understand and achieve ISec.     

Are there any relationships between technology and cultural values? A country-level trend study of the association between information communication technology and cultural values

Technology has significantly changed the way humans live. Information and communication technologies have advanced and given their important spillovers to other economic sectors. Sociocultural view of globalization posits that cultural values across the world are continuously changing. From the theoretical lens of technological determinism theory, technology of a society determines the development of its social structure and cultural values. Drawing on the sociocultural aspect of globalization and technological determinism theory, this study investigates the relationship between technology and national cultural values. Using secondary national-level data such as United Nations’ E-Government Survey and Global Innovation Index, we validate the proposed relationships. The results of the study indicate that technology is an important driver of cultural convergence pushing national cultures across the globe to converge toward two cultural values suggested by Hofstede: higher individualism and lower power distance. This study also finds that technology increases national confidence in financial markets through creation of increased transparency. The study has implications for policymakers at both national and global levels regarding how technology affects the evolution of human societies. Additional implications exist for the promotion of democracy.     

How good are clinical MEDLINE searches? A comparative study of clinical end-user and librarian searches

The objective of this study was to determine the quality of MEDLINE searches done by physicians, physician trainees, and expert searchers (clinicians and librarians). Its design was an analytic survey with independent replication in a setting of self-service online searching from medical wards, an intensive care unit, a coronary care unit, an emergency room, and an ambulatory clinic in a 300-bed teaching hospital. Participating were all M.D. clinical clerks, house, and attending staff responsible for patients in the above settings. Intervention for all participants consisted of a 2-h small group class and 1-h practice session on MEDLINE searching (GRATEFUL MED) before free access to MEDLINE. Search questions from 104 randomly selected novice searches were given to 1 of 13 clinicians with prior search experience and 1 of 3 librarians to run independent searches (triplicated searches). Measurements and main results from these unique citations of the triplicated searches were sent to expert clinicians to rate for relevance (7-point scale). Recall (number of relevant citations retrieved from an individual search divided by the total number of relevant citations from all searches on the same topic) and precision (proportion of relevant citations retrieved in each search) were calculated. Librarians were significantly better than novices for both. Librarians had equivalent recall to, and better precision than, experienced end-users. Unexpectedly, only 20% of relevant citations were retrieved by more than one search of the set of three, with the conclusion that novice searchers on MEDLINE via GRATEFUL MED after brief training have relatively low recall and precision. Recall improves with experience but precision remains suboptimal. Further research is needed to determine the \"learning curve,\" evaluate training interventions, and explore the non-overlapping retrieval of relevant citations by different searchers.     

Are we overlooking some usability testing methods? A comparison of lab,beta, and forum tests

Abstract

We compared the effectiveness of lab testing, beta testing, and forum testing at identifying software usability problems. Thirty participants were involved in the experiment, with ten participants in each of the three test conditions. The lab test involved participants performing prescribed scenarios with the software in a controlled lab environment, while human factors engineers recorded participant's problems. The beta test method had participants use the software in their own environment to perform their real world work and record their own problems. The forum test was similar to the beta test, except that the software was made available on a company-wide computer bulletin board and the participants selected themselves. Findings show that the beta test method was as effective as the lab test method in the number of problem types identified. The lab test uncovered a larger proportion of serious usability problems than did the beta test. The beta test method was the most cost-effective method. The forum test method found the fewest number of problem types and was the least cost-effective. Thus, the results of this study broaden the current literature by showing that the beta test method may be a cost-effective alternative to the traditional lab test.     

Why are children attracted to the Internet? The role of need satisfaction perceived online and perceived in daily real life

From the perspective of self-determination theory, this study investigated the motivations for children’s Internet use by examining how basic psychological need satisfaction, perceived online and perceived in daily real life, affects children’s Internet use outcomes. A total of 637 elementary school students from China took participated in this study. The results from structural equation modeling showed that need satisfaction perceived online predicted higher levels of Internet use and more positive affect experienced online, whereas need satisfaction perceived in daily real life predicted less time spent online, less negative affect, and more positive affect. Both inherent properties of the experiences provided by the Internet and children’s social backgrounds contribute to Internet use outcomes. This study supports self-determination theory in explaining children’s Internet use motivations. Implications for efforts to encourage appropriate Internet use and directions for future research are discussed.     

To what extent are regional tourism organisations (RTOs) in Australia leveraging the benefits of web technology for destination marketing and eCommerce?

The information-intensive nature of the tourism and travel industry suggests an important role for Web technology in the promotion and marketing of tourist destinations. The rapid development of the Internet and WWW is having profound impacts on the industry. In fact, according to Tourism Australia, travel and tourism has become the single largest category of products sold over the Internet (Tourism White Paper, Destinations online: approaches for regional tourism organisations, Centre for Regional Tourism Research, Southern Cross University, 2007). With reports of travel purchases being one of the fastest growing segments of the Internet community it is no surprise that the number of tourism operators on the Web has increased considerably over the past few years. This paper presents the results of a longitudinal study that seeks to determine if and to what extent, Regional Tourism Organisations (RTOs) in Australia are leveraging the benefits of Web technology for destination marketing and eCommerce. The study was undertaken over an eight year period from 2000 to 2008, using the Extended Model of Internet Commerce Adoption (eMICA) (Burgess and Cooper, International conference on telecommunications and electronic commerce, Dallas, November, 2000). A significant finding of this study is that despite assertions that the Tourism industry is leading the field in terms of eCommerce adoption (Buhalis and Law, Information and communication technologies in tourism, Ljubljana, Springer, Berlin, 2007), and this may hold true with some providers in the sector (for example, hotels and airlines) it does not appear to be the case with Australian RTOs who have been slow to embrace eCommerce. The results of the study also add support to the premise of eMICA, that is, in developing commercial websites, businesses (particularly, SMEs) in this industry sector typically start simply by establishing a presence on the Web and build on functionality over time, as their experience with and expertise in the use of Internet and Web technologies increases and they become more aware of the benefits the Web has to offer.     

Separate but equal? A comparison of participants and data gathered via Amazon’s MTurk,social media,and face-to-face behavioral testing

Recent and emerging technology permits psychologists today to recruit and test participants in more ways than ever before. But to what extent can behavioral scientists trust these varied methods to yield reasonably equivalent results? Here, we took a behavioral, face-to-face task and converted it to an online test. We compared the online responses of participants recruited via Amazon’s Mechanical Turk (MTurk) and via social media postings on Twitter, Facebook, and Reddit. We also recruited a standard sample of students on a college campus and tested them in person, not via computer interface. The demographics of the three samples differed, with MTurk participants being significantly more socio-economically and ethnically diverse, yet the test results across the three samples were almost indistinguishable. We conclude that for some behavioral tests, online recruitment and testing can be a valid—and sometimes even superior—partner to in-person data collection.     

What are the characteristics of popular APIs? A large-scale study on Java,Android, and 165 libraries

Software systems are commonly implemented with the support of libraries, which provide features via APIs. Ideally, APIs should have some characteristics, for example, they should be well documented and stable so that client systems can confidently rely on them. However, not all APIs are equal in number of clients: while some APIs are very popular and used worldwide, other may face much lower usage rates. In this context, one question appears: are there particular characteristics that differentiate popular APIs from ordinary APIs? Answering this question can uncover how worldwide APIs are actually implemented and maintained, revealing practices to better support both research and development on APIs. In this paper, we assess the characteristics of popular APIs, including their size, legibility, documentation, stability, and client adoption. We analyze 1491 APIs provided by Java, Android, and 165 libraries. We detect that popular APIs are distinct from ordinary ones, for example, often, popular APIs are larger, have more comments, and are more unstable than ordinary APIs. Finally, we provide a set of lessons learned from the popular APIs on factors that developers can control, such as the exposure of public methods and the API stability.

     

How are UML class diagrams built in practice? A usability study of two UML tools: Magicdraw and Papyrus

Software modeling is a key activity in software development, especially when following any kind of Model Driven Software Engineering (MDSE) process. In this context, standard modeling languages, like the Unified Modeling Language (UML), and tools for supporting the modeling activities become essential.The aim of this study is to analyze how modelers build UML models and how good modeling tools are in supporting this task. Our goal is to draw some useful lessons that help to improve the (UML) modeling process both by recommending changes on the tools themselves and on how UML is taught so that theory and practice of UML modeling are better aligned.Our study employs two research approaches. The main one is an empirical experiment (which analyzes screen recordings registered by undergraduate students during the construction of a UML class diagram). An analytical analysis complements the previous experiment. The study focuses on the most frequent type of UML diagram, the class diagram, and on two tools widely used by the modeling community: MagicDraw and Papyrus.     

Who do you think you are? A review of the complex interplay between information systems,identification and identity

This paper introduces the special issue on information systems, identity and identification. In addition to introducing the papers in the special issue, it provides a state-of-the-art review of research into identity and identification to contextualise the contributions of the special issue papers. The paper reviews research themes in personal and organisational identity as well as research challenges in identification before considering the interplay between these two strands.     

Does spatial resolution matter? A multi-scale comparison of object-based and pixel-based methods for detecting change associated with gas well drilling operations

An implicit assumption of the geographic object-based image analysis (GEOBIA) literature is that GEOBIA is more accurate than pixel-based methods for high spatial resolution image classification, but that the benefits of using GEOBIA are likely to be lower when moderate resolution data are employed. This study investigates this assumption within the context of a case study of mapping forest clearings associated with drilling for natural gas. The forest clearings varied from 0.2 to 9.2 ha, with an average size of 0.9 ha. National Aerial Imagery Program data from 2004 to 2010, with 1 m pixel size, were resampled through pixel aggregation to generate imagery with 2, 5, 15, and 30 m pixel sizes. The imagery for each date and at each of the five spatial resolutions was classified into Forest and Non-forest classes, using both maximum likelihood and GEOBIA. Change maps were generated through overlay of the classified images. Accuracy evaluation was carried out using a random sampling approach. The 1 m GEOBIA classification was found to be significantly more accurate than the GEOBIA and per-pixel classifications with either 15 or 30 m resolution. However, at any one particular pixel size (e.g. 1 m), the pixel-based classification was not statistically different from the GEOBIA classification. In addition, for the specific class of forest clearings, accuracy varied with the spatial resolution of the imagery. As the pixel size coarsened from 1 to 30 m, accuracy for the per-pixel method increased from 59% to 80%, but decreased from 71% to 58% for the GEOBIA classification. In summary, for studying the impact of forest clearing associated with gas extraction, GEOBIA is more accurate than pixel-based methods, but only at the very finest resolution of 1 m. For coarser spatial resolutions, per-pixel methods are not statistically different from GEOBIA.     

Why do drivers maintain short headways in fog? A driving-simulator study evaluating feeling of risk and lateral control during automated and manual car following

Drivers in fog tend to maintain short headways, but the reasons behind this phenomenon are not well understood. This study evaluated the effect of headway on lateral control and feeling of risk in both foggy and clear conditions. Twenty-seven participants completed four sessions in a driving simulator: clear automated (CA), clear manual (CM), fog automated (FA) and fog manual (FM). In CM and FM, the drivers used the steering wheel, throttle and brake pedals. In CA and FA, a controller regulated the distance to the lead car, and the driver only had to steer. Drivers indicated how much risk they felt on a touchscreen. Consistent with our hypothesis, feeling of risk and steering activity were elevated when the lead car was not visible. These results might explain why drivers adopt short headways in fog. Practitioner Summary: Fog poses a serious road safety hazard. Our driving-simulator study provides the first experimental evidence to explain the role of risk-feeling and lateral control in headway reduction. These results are valuable for devising effective driver assistance and support systems.     

Do intentions indicate actual behaviour? A comparison between scenario‐based experiments and real‐time observations of warning response

The sharp increase in the use of smartphones and rapid advances in mobile communication offer new ways to warn the public about developing natural or technological hazards. So far, the effectiveness of different warning types, namely standard and impact‐based warnings (SW and IBW), were mainly tested in scenario‐based experiments and not in real life. However, it can be questioned whether scenario‐based experiments are the appropriate methodology to test different warnings, for instance due to the absence of feelings catalysed by real events. Therefore, we collected information about warning responses in real time via the smartphone application ‘Wetter‐Alarm’ of a Swiss weather provider. In the first phase of the study, we conducted a field experiment to investigate actual responses for SW and IBW. In the second phase, we compared these results with behavioural intentions collected via a scenario‐based experiment with an almost identical set‐up. The comparison shows that warning messages were perceived and understood very similar in both experiments. Also, we did not observe any significant interactions between warning type (SW vs. IBW) and study (field vs. scenario‐based experiment). These findings indicate that the effects of warning type on behaviour can be studied on the basis of experimental (i.e. scenario‐based) research designs. The paper ends with some reflections on the potential of big data in the social sciences and on a research agenda for real‐time data collection to improve warning effectiveness and, ultimately, climate risk management.     

The Emperor’s new clothes? A meta-study of education technology policies in Ireland,North and South (1996–2006)

In this paper, we asked whether or not it matters if policy direction for embedding digital technology in education is aligned with the locus of control of curriculum reform and of teachers’ professional development. We created a simple control:choice framework with which to analyse and compare approaches to education technology policy and the interaction of technology with curriculum and professional development in Northern Ireland and in the south of Ireland. While we expected to find harmony between technology provision and educational change, we did not discover it. We concluded that different approaches are not necessarily at odds and their interplay is more complex.     

Why do people share their context information on Social Network Services? A qualitative study and an experimental study on users' behavior of balancing perceived benefit and risk

Despite the rapid growth of context-aware systems and ubiquitous computing, the factors influencing users' decision to share their context information in a social setting are poorly understood. This study aims to clarify why users share their context information in social network service (SNS), even while they are concerned with the potential risk at the same time. Drawing on the diverse theories of self-disclosure, we take an approach that the consideration of benefit encourages users to endure the existence of risk, and that users actively adjust the way they share their information to optimize the level of benefit and risk. In a qualitative study, we examined what kinds of risks and benefits exist in context information sharing situations and how users control them. An experiment was conducted using stimuli that simulate the actual use of SNS to investigate the effect of various context types and control types on users' expected benefit and risk and their intention to share. The results showed that both expected benefit and expected risk influenced users' intention to share. More interestingly, the effect of expected benefit was found to be stronger than that of expected risk. Moreover, different privacy control strategies were found to have induced different effects on the expected benefit and expected risk. Implications and limitations of this study were proposed at the end of this study.     

Do mechanical tests of glove stiffness provide relevant information relative to their effects on the musculoskeletal system? A comparison with surface electromyography and psychophysical methods

The main purpose of the present study was to test the construct validity of two mechanical tests of glove stiffness using a surface electromyography (SEMG) methodology that would allow estimating the effect of glove stiffness on forearm muscle activation during a standardized grip contraction. The mechanical tests [free-deforming multidirectional test (FDMT) and Kawabata Evaluation System for Fabrics (KESF)] were applied on 27 gloves covering a wide range of stiffness. In 30 human subjects, a psychophysical assessment of these gloves was also carried on in addition to the SEMG test. The results showed that the sensitivity of the different tests to glove stiffness differences was slightly better for the FDMT (75% sensitivity) than for the psychophysical assessment (72%), while the SEMG test showed much lower sensitivity (13-31%, depending on the muscle). The SEMG test was highly correlated to the psychophysical assessment (0.88-0.95, depending on the muscle tested), and the FDMT (0.88-0.94) and KESF (0.77-0.86) mechanical tests, showing the construct validity of mechanical tests, particularly for the FDMT. It was concluded that mechanical tests provide relevant information relative to the effect of glove stiffness on the musculoskeletal system of the forearm.