Interactive Text Research Articles

Strategies for combining Twitter users geo-location methods

Twitter has become a major player in the social media scene with over half billion users and over 500 million tweets published daily. With this abundant data, researchers saw the opportunity to explore this data for monitoring events and tracking epidemics. In this type of application, knowing the location of the user is essential. However, most of the information about location self-reported by users is difficult to process, and barely 1% of all published tweets are geolocated. Hence, user location inference is often performed by analyzing public available information from the user profile and his tweets. In this work, we evaluate and compare 16 approaches for user location inference based on different information sources that include interaction networks and text from tweets. We show that methods working with the user friendship network obtain higher values of accuracy and recall when compared to the other methods. From these results, we verify the agreement of pairs of methods regarding the predicted location and the users they cover. We find out that most methods disagree in their inferences while covering different sets of users. These results open up an opportunity to combine different methods in order to improve location accuracy and user recall. We propose four methods for combining the outputs of the evaluated methods. Two of them, one based on a weighting vote scheme (GAVe) and another based on a meta decision tree cover at least 98% of the users in the dataset, while location 75% of them within a distance of 100 km from their real location.

A mobile technology intervention to reduce sedentary behaviour in 2- to 4-year-old children (Mini Movers): study protocol for a randomised controlled trial

BackgroundSedentary behaviour (e.g. television viewing, sitting time) tracks over time and is associated with adverse health and developmental outcomes across the lifespan. Young children (5 years or younger) spend up to 12 h/day sedentary, of which around 2 h is spent in screen time (e.g. watching television). Interventions to reduce sedentary behaviour in early childhood report mixed results and many have limited potential for scalability. Mobile phones offer a wide-reaching, low-cost avenue for the delivery of health behaviour programmes to parents but their potential to reduce young children’s sedentary behaviour has not been widely tested. This study aims to test the feasibility and efficacy of a parent-focused, predominantly mobile telephone-delivered intervention to support parents to minimise the amount of time their child spends using screens and in overall sitting time.Methods/designMini Movers is a pilot randomised controlled trial recruiting 100 parents and children. Inclusion criteria include having a child aged between 2 and 4 years, being able to speak, read and write English, and smartphone ownership. Participants will be randomised to the intervention or a wait-list control group at a 1:1 ratio. Intervention group parents will receive printed materials including a content booklet and goal-checking magnet and will participate in a one-on-one discussion with the interventionist to plan two goals to reduce their child’s sedentary behaviour. Subsequently, the intervention will be delivered over 6 weeks via personalised and interactive text messages promoting positive health behaviours (strategies for decreasing screen time and overall sitting time), goal setting and self-monitoring. Outcomes to be assessed include intervention feasibility and children’s screen time and objectively-assessed sitting time.DiscussionFew studies have used mobile phone technology to deliver health behaviour programmes to parents of young children. Findings will inform the development of larger-scale interventions to reduce sedentary behaviour during early childhood.Trial registrationAustralian New Zealand Clinical Trials registry, identifier: ACTRN12616000628448. Prospectively registered on 16 May 2016.

Introduction

This introduction offers an initial account of the usefulness of an interdisciplinary encounter between the fields of linguistic anthropology and literary/cultural studies and, in doing so, introduces a series of key terms from linguistic anthropology and its way of studying language-in-use as a locus in which culture happens: nonreferential (or social) indexicality, entextualization, and metapragmatics. It establishes a set of common attitudes toward language and cultural production found in work by Bourdieu, Bakhtin, and a number of linguistic anthropologists (Michael Silverstein in particular). It suggests three analytical levels on which such an interdisciplinary encounter might take place: analysis of (1) works that themselves show an interest in language-in-use (for example, novels by writers such as Proust, Eliot, or Dostoevsky); (2) the “interactive text,” of which any given literary artifact could be said to be a precipitate (one construal of Bourdieu’s approach to an author like Flaubert); and (3) the role of the ongoing uptake of given language-based artifacts in maintaining and altering their meanings and values.

The Effect of Interactive Text Message Follow-up on Health Promoting Lifestyle of Patients with Acute Coronary Syndrome.

Background:Lifestyle modification is an essential factor in the promotion of health in patients with acute coronary syndrome (ACS). One of the interventions to promote lifestyle is interactive follow-up, which, according to the traditional methods, requires spending significant amount of time and cost. Therefore, this study aimed to determine the effectiveness of interactive text message follow-up on health promoting lifestyle of patients with ACS.Materials and Methods:This was a randomized controlled trial among 100 patients suffering from ACS during October–February 2016. The participants were randomly assigned to the experimental and control groups. Collection of data on lifestyle was performed before, 3, and 4 months after the beginning of the intervention using Walker's Health Promoting lifestyle questionnaire. Six messages were sent to the intervention groups each week, and participants asked the questions by sending text message, each week 1 message were sent to the control group for 12 weeks. The statistical analysis of data was performed using independent t-test, Chi-square, Mann–Whitney U test, and repeated measures analysis of variance (ANOVA).Results:Before the intervention, there was no significant difference between the mean score of lifestyle of the two groups, however, 3 months and 4 months after the beginning of the intervention, the mean score of lifestyle in the intervention group was significantly higher than that of the control group (P < 0.001).Conclusion:The interactive text message follow-up is effective in promoting the lifestyle of patients with ACS and can be considered in the planning of follow-up of patients with ACS.

Otentisitas Komunikator dan Motivasi Menulis Mahasiswa di Media Sosial

Penelitian ini dilakukan untuk memahami hal-hal yang memicu motivasi menulis mahasiswa di media sosial, yang oleh suatu proyek (writing matrix) disebut otentisitas komunikator yang menyediakan interaksi tekstual yang otentik. Frekuensi aktivitas menulis mahasiswa di media sosial merupakan suatu fenomena yang mengagumkan jika dibandingkan dengan aktivitas menulis mereka di ruang-ruang kelas. Penelitian kualitatif deskriptif ini menggunakan angket sebagai instrumen pengumpulan data, yang selanjutnya dianalisis dengan menggunakan teori emosi, motivasi, dan media pembelajaran terkomputerisasi. Penelitian ini menyimpulkan bahwa otentisitas komunikator bukanlah pemicu utama motivasi menulis mahasiswa di media-media sosial, melainkan nilai dan makna yang diberikan oleh mahasiswa terhadap media-media sosial itu sendiri. Fitur, kemudahan, kepuasan emosional, merupakan pemicu-pemicu utama yang terjaring dalam data penelitian ini. Signifikansi akademik dari penelitian ini menunjukkan adanya peluang bagi para pengasuh mata kuliah menulis (writing) untuk meningkatkan motivasi menulis mahasiswa mereka di ruang-ruang kelas atau dalam konteks akademik lainnya.

Compressed and raw video steganography techniques: a comprehensive survey and analysis

In the last two decades, the science of covertly concealing and communicating data has acquired tremendous significance due to the technological advancement in communication and digital content. Steganography is the art of concealing secret data in a particular interactive media transporter, e.g., text, audio, image, and video data in order to build a covert communication between authorized parties. Nowadays, video steganography techniques have become important in many video-sharing and social networking applications such as Livestreaming, YouTube, Twitter, and Facebook because of the noteworthy development of advanced video over the Internet. The performance of any steganographic method ultimately relies on the imperceptibility, hiding capacity, and robustness. In the past decade, many video steganography methods have been proposed; however, the literature lacks of sufficient survey articles that discuss all techniques. This paper presents a comprehensive study and analysis of numerous cutting edge video steganography methods and their performance evaluations from literature. Both compressed and raw video steganography methods are surveyed. In the compressed domain, video steganography techniques are categorized according to the video compression stages as venues for data hiding such as intra frame prediction, inter frame prediction, motion vectors, transformed and quantized coefficients, and entropy coding. On the other hand, raw video steganography methods are classified into spatial and transform domains. This survey suggests current research directions and recommendations to improve on existing video steganography techniques.

Sentiment Analysis Through Text Mining-A Review

Emotions are an important part of human life. It creates direct effect when the gestures of people are visible to the audience, but it is unclear when only texts are used rather than used in combination with gestures and facial expression. As the wide use of internet and mobile, text data has become the main source of communication in several social networking sites. One way of making such textual based interaction more interactive is to make a system that can recognize the sentimental purpose present behind the text. Now a days several researches are ongoing to make computer and human interaction as effective as it can detect the sentimental state of a person. This paper focuses on studying different work done in the area of sentiment analysis through text mining and provides a review that covers the best method and techniques used based on the previous experimental result.

Effects of Interactive Text Chat and Independent Writing on Iranian EFL Language Learning

&lt;p&gt;The present Study tries to examine the degree of significance of interaction for foreign language learning by investigating results of dichotomous kinds of home work tasks. The researcher tried to compare: (a) interactive assignment, accomplished through text chat activities, and (b) individual assignment, accomplished through independent writing activities. For six weeks participants in two separate intermediate- level English classes in a between-subjects design were exposed to the two different situations and accomplished the supposed activities three times a week. In the assigned interactive situation, learner pairs involved in real-time text-chat sessions, accomplishing activities planned to promote interaction and collaboration via opinion-gaps or information- reasoning-. While In the individual situation, learners accomplished similar writing tasks alone. The same language input was provided in both conditions and the essential production, over an equivalent amount of time was the same in two conditions as well. Language improvements were examined via pre- and post-tests of writing, vocabulary, and speaking. Learners in the interactive situation revealed more obvious gains in oral production and vocabulary knowledge than learners in the individual situation, but it was found that learners’ writing accuracy or complexity did not differ. Comparison of the outcomes of the present study at the beginning of the survey and later in the study reveals that learners in the interactive situation created more English types and tokens in their activities than learners in the individual situation too. Thus the obtained findings of the study support the advantages of assigning interactive activities for foreign language production and acquisition.&lt;/p&gt;

Approach To Building A Virtual Assistant Or Bot Almost From Scratch

V.A.* (Virtual Assistants) are computer programs designed to simulate a conversation with a human via textual or voice interactions. We will focus on text-based interactions only in this paper. Voice-based V.A. consist in the combination of an Automatic Speech Recognition or Speech-To-Text and Text-To-Speech layers on top of a text-based interactions layer. By now you must have heard of Apple SIRI, Amazon Alexa, Microsoft Cortana, IBM Watson, Viv.ai, X.ai Amy, Kasisto Kai etc. They are becoming ubiquitous with the rise of Mobiles, IoT (Internet of Things) and Messaging platforms.V.A. can take multiple forms: simple command interface to interact with one specific service, e.g. in the IoT space to activate a device; basic chatbots to complex ones handling users’ requests, e.g. help-desk or customer service chatbots (e.g. Nuance Nina) or personal banking assistants (e.g. Kasisto Kai) providing information tied to transactions or specific assistants like X.ai Amy helping you schedule meetings. For multiple services V.A., we generally speak about V.A. with “skills”. A skill is a basic resource or service that the V.A. can access to answer the user’s request.We will explore in this paper some key aspects involved in building a V.A. We will also detail our parsing approach based on the concept of “contract” which provides an abstraction of the resource API (“skill”) that will be used to identify intents and related contexts.This paper is not meant to get into the details of parsing natural language using heavy linguistic engineering but rather it provides an alternative approach that is simple yet adaptable to any language. The main objective is to provide a text-based interface to any structured dataset or analytics service or to build a multi-skills virtual assistant with a clear focus on getting domain-specific actions executed while maintaining a smooth communication with the users.Also, this paper provides an introduction only. Going into further details may require additional papers specific to the: tokenizer, fuzzy parsing, handling of “Skills” compositionality, segmentation of sub-queries, online-learning auto-completion & suggestion model, graph-based conversation & knowledge base, expression evaluation with live code compilation, patterns recognizer approach, actual architecture flows, automatic testing based on automatic user’s requests generation module, mixing texts & clicks interactions etc.Most of the described concepts have been implemented in an advanced c#.Net 4.5 end-to-end prototype. The prototype itself has been used for a PoC with a major company to build a virtual assistant to access analytics and structured datasets. Most requests are usually parsed in less than 100ms based on dozens of skills, dozens of conversations and a dictionary with thousands of words.

Children's responses to the interactivity of storybook apps in family shared reading events involving the iPad

AbstractThis paper reports on some data on the effects of screen‐based interactivity on children's engagement with storybook apps during family shared book reading that were gathered in a 2‐year, small‐scale ethnographic case study in Spain. Data analysis focuses on the complex interplay between the storybook app's interactive features and the children's responses to them. Our findings show that interactive elements increase the child's autonomy, as they tend to promote the importance of the reader, positioning him or her as a collaborator, storyteller, an author or an internal character in the fiction; something that can materialise in exciting narrative strategies that can trigger powerful responses to digital literary texts in emergent readers, including playing, creating new fictions or engaging emotionally with the story. Finally, we argue that the Reader Response models that have been used over recent decades to understand children's reading experiences with storybooks need to be revised to better understand their current experiences with interactive texts.

O FUTURO DO LEITOR OU O LEITOR DO FUTURO: O LIVRO INFANTIL INTERATIVO E OS LETRAMENTOS MÚLTIPLOS

Esse artigo explora o livro infantil interativo como forma de expressão literária que exige do leitor infantil orquestrar diversos tipos de letramento para, em última instância, desenvolver sua capacidade de ler criticamente textos multimodais, digitais e interativos diversos. O modelo de análise envolvendo os níveis perceptivo, estrutural e ideológico (SERAFINI, 2010; 2015) é proposto para promover, por meio dos livros digitais, a articulação de múltiplos letramentos na escola.

Philosophy becoming Para-Textual: Plato’s Phaedrus, a memory pharmacy

This paper presents an alternative method of philosophical practice that plays with the sites of a theoretical text’s encounter. By focusing not only on semantic content but also on place, time, duration, voice, style, repetition and modes of generating response, one can create text-specific structures (games) that attend to the contextual demands of a particular text and multiply the variety of encounters and reading methodologies that a given text can proliferate. This involves the following procedure: Step 1) Isolate a text’s implicit para-textuality—that is, the moments where it implicates a reader to act alongside or outside of the activity of reading. Step 2) Extend these moments by explicitly altering the text itself or by changing the environmental factors around the reading of the text such that the text more radically directs a reader. Step 3) Repeat Step 2 through various iterative cycles such that these acts of extension begin to cohere into a set of rules that structure the playful acts of extension thereby producing a game. This procedure is theoretically grounded and contextualized through Hadot’s analysis of Descartes’ Meditations on First Philosophy, Gadamer’s ontology of play, Schechner’s account of theatre and games, the dramatic instructions of Ionesco and Beckett, Ancient Greek Philosophical exercises and para-textual passages from Zen Koans, Nietzsche and Rousseau. The second part of the essay provides an in-depth account of my creative and intellectual process whereby I selected Plato’s critique of writing in Phaedrus as a starting point for enacting the aforementioned para-textual procedure. This resulted in the creation of Plato’s Phaedrus: A memory pharmacy, a rhizomatic online game whereby players engage in a procedure of enacting verbal dialectics upon an interactive text that is spliced with both Platonic passages and transcriptions of contemporary interlocutor's dialectical analysis upon the Phaedrus.

EASYC -AN INTERACTIVE TEXT EDITOR FOR C

EasyC is an interactive text editor for C language. It is developed using PHP and JavaScript. So we can upload it as online web application .The basic idea is that instead of making the user to type all the lines of program let them to click options, so that the corresponding syntax will be pasted. EasyC reduces the typing work up to 90% and thus saves the time up to 75%.EasyC provides things which are all related to typing reduction but the compilation area is separate which is standard in TurboC compiler. EasyC removes 99% of syntax errors before submitting the program to the compiler.

The Daily Relationship Between Aspects of Food Insecurity and Medication Adherence Among People Living with HIV with Recent Experiences of Hunger.

Limited access to resources can significantly impact health behaviors. Previous research on food insecurity and HIV has focused on establishing the relationship between lacking access to nutritious food and antiretroviral (ARV) medication non-adherence in a variety of social contexts. This study aims to determine if several aspects of food insecurity co-occur with missed doses of medication on a daily basis among a sample of people living with HIV who have recently experienced hunger. The current study utilized a prospective, observational design to test the daily relationship between food insecurity and medication non-adherence. Participants were followed for 45days and completed daily assessments of food insecurity and alcohol use via interactive text message surveys and electronic medication adherence monitoring using the Wisepill. Fifty-nine men and women living with HIV contributed a total of 2,655days of data. Results showed that severe food insecurity (i.e., hunger), but not less severe food insecurity (i.e., worrying about having food), significantly predicted missed doses of medication on a daily level. Daily alcohol use moderated this relationship in an unexpected way; when individuals were hungry and drank alcohol on a given day, they were less likely to miss a dose of medication. Among people living with HIV with recent experiences of hunger, this study demonstrates that there is a daily relationship between hunger and non-adherence to antiretroviral therapy. Future research is needed to test interventions designed to directly address the daily relationship between food insecurity and medication non-adherence.

Variation of Kozinets' framework and application to nursing research.

Online communities are new sites for undertaking research, with their textual interactions providing a rich source of data in real time. 'Ethnonetnography' is a research methodology based on ethnography that can be used in these online communities. In this study, the researcher and a specialist breast care nurse (SBCN) were immersed in the online community, adding to patients' breast cancer care and providing a nursing research component to the community. To examine Kozinets' ( 2010 ) framework for ethnonetnography and how it may be varied for use in a purpose-built, disease-specific, online support community. The online community provided an area where members could communicate with each other. Kozinets' ( 2010 ) framework was varied in that the research was carried out in a purpose-built community opf which an SBCN was a member who could provide support and advice. The application of the ethnonetnographic methodology has wide implications for clinical nursing practice and research. Ethnonetnography can be used to study disease-specific communities in a focused manner and can provide immediate benefits through the inclusion of an expert nurse and contemporaneous application of research findings to patient care. With ethical permission and the permission of online community members, nurse researchers can enter already established online communities. Ethnonetnography is ideally suited to nursing research as it provides the immediacy of evidence-based interaction with an expert nurse. These real-time responses improve support for those experiencing a critical life event.

Looking Out or Turning in? Organizational Ramifications of Online Political Posters on Facebook

Academic analysis of the growth and nature of political campaigning online has concentrated largely on textual interactions between politicians, parties, their members, and supporters, as well as voters more widely. In evaluating the shift from traditional to online campaigning techniques, the use of social media’s increasingly visual capabilities has been comparatively neglected in research. This article considers one type of online visual political communication, the online political poster, in terms of its strategic campaign functions relating to persuasive and organizational roles. The article uses a case study of an extensive data set of online political posters collected from political parties in the United Kingdom, on Facebook, between September 2013 through to and including the general election in May 2015, to try to understand how parties used online political posters and how audiences responded to them. The findings show that despite a clear emphasis on sharing images, very few received widespread attention, arguably limiting their persuasive role. However, their prevalence suggests a role relating to parties trying to maintain relationships with existing online supporters as a form of displaying virtual presence, credibility, and belonging, paralleling the function of traditional window posters and yard signs but in a social media setting.

Game theory based emotional evolution analysis for chinese online reviews

Sentiment analysis has become one of the mainstream researches in social network analysis. Its impact can be seen in many practical applications, ranging from public opinion analysis to marketing of public praise and information prediction. However, most of the existing research has been performed in the sentiment classification for subjective text, the emotional evolution analysis for complex interactive text (e.g., online reviews) has not yet been thoroughly targeted by the research community. This paper is concerned on short-text Chinese online reviews collected from Tianya forum. First, an efficient affective computing framework is proposed to capture the underlying emotions of Chinese online reviews. It can accurately calculate the semantic orientation of the entire review, without requiring expensive manual labeling of seed words. As users’ attitudes might influence with each other, predicting their future emotional behaviors that only relying on the emotional values of historical reviews is very one-sided. Therefore, we propose a game theory based emotional evolution prediction algorithm combining the affective computing, in which the mixed nash equilibrium strategies are calculated as the future emotional behavior of interactive users. Then, experimental results on the large-scaled review dataset are provided to demonstrate the effectiveness and accurateness of our approaches. Finally, by applying the research results on the pairwise happiness-popularity coordination evaluation, we have revealed some interesting phenomenon on the “World View” board in Tianya forum.

Alcohol-antiretroviral therapy interactive toxicity beliefs and daily medication adherence and alcohol use among people living with HIV

ABSTRACTAlcohol-antiretroviral therapy (ART) interactive toxicity beliefs reflect perceived adverse outcomes of mixing alcohol and ART. Previous research has shown a significant relationship between alcohol-ART interactive toxicity beliefs and ART non-adherence, over and above other correlates of non-adherence such as human immunodeficiency virus (HIV)symptoms and frequency of alcohol use. Most past studies have collected data over extended periods and have not determined if alcohol use and missed medications occur at the day-level among people holding interactive toxicity beliefs. Previous daily analyses, however, have been limited by self-reported adherence and relatively short periods of observation. To address these gaps in the literature, men and women living with HIV in Atlanta, GA, were enrolled in a 45-day observational cohort study. Daily alcohol use was collected using two-way interactive text message surveys and daily adherence was collected via the Wisepill device. Fifty-seven participants completed a measure of alcohol-ART interactive toxicity beliefs and contributed 2565 days of daily data. Participants who endorsed high levels of interactive toxicity beliefs had significantly more days when they missed doses of medication. Alcohol-antiretroviral toxicity beliefs predicted missing doses of medication on days when participants were drinking and on days when they were not drinking. Multilevel multivariate regressions showed that these toxicity beliefs predicted daily missed doses of medication over and above quantity of alcohol consumed, depression and general medication concerns. This study replicates and extends previous literature and indicates the necessity of addressing alcohol-ART toxicity beliefs within adherence interventions.

Stepping Back From Crisis Points: The Provision and Acknowledgment of Support in an Online Suicide Discussion Forum.

Suicide is a global health concern, though little is known about the social practices that might support those who are contemplating suicide. Online forums provide a unique insight into the anonymous discussion of suicide, including sociocultural norms about suicide and the delicate management of online interaction. In this article, we examine the provision and acknowledgment of support in an online discussion forum about suicide, using discursive psychology to analyze the textual interaction. The analysis illustrates how forum threads function as case studies and enable members to gain support on numerous occasions. In this way, members can gain help at crisis points as and when these occur, while still maintaining authenticity as a valid forum member. The analysis also provides additional evidence for models of suicide which highlight the fluid nature of suicidality and contributes to the preventative work on suicide by demonstrating how support can be provided at crisis points.

Abstract P5-11-03: Development of an interactive text messaging tool to improve adherence with adjuvant endocrine therapy: Breast cancer endocrine therapy adherence (BETA) pilot study

Abstract Introduction: Approximately 75% of stage I-III breast cancers are hormone receptor (HR) positive for which the standard of care is 5-10 years of adjuvant endocrine therapy, which has been shown to reduce recurrences and improve survival. Unfortunately, up to 40% of patients may not take the prescribed medication daily or may discontinue it early. Mobile health technology provides an opportunity to develop new innovative tools to identify women who are not taking medication as prescribed, to understand their barriers for adherence and to facilitate communication with providers to improve adherence. Methods: The objective of the BETA study was to develop a new bi-directional text messaging application that simultaneously assesses patient adherence to endocrine therapy and provides direct communication to the provider team. Our primary endpoint was to assess feasibility of the application and the secondary endpoints included adherence, side effects and their severity, and quality of life (QOL). The intervention consisted of 3 types of text messages to which patients responded: 1) daily, evaluating adherence, 2) weekly, evaluating medication-related side effects and their severity, and 3) monthly, evaluating barriers to taking the medication. After 3 months of participation, patients completed surveys assessing the tolerability and financial burden of the intervention and adherence to medication. Patients were eligible if they had stage I-III, HR-positive breast cancer, owned a cell phone, and were initiating endocrine therapy. Target enrollment is 100 patients. For comparison, 100 consecutive patients meeting the above criteria were identified retrospectively as historical controls; adherence was assessed via chart review. Results: Between November 2014 and May 2015, 62 patients (mean age 53.5 years) were enrolled and 25 had completed the study. Of those approached, 66% participated. Of those who completed the study, the application was found to be helpful by 63%; specifically, 76% felt the intervention was a reminder to take the medication, 96% felt it was easy to use, and 71% wanted to continue receiving text messages after the study ended. On average, patients spent 12 minutes with the application per week, 0% felt it took up too much time, and only 1 patient incurred text messaging fees. No patients withdrew from the study and only 1 patient did not adhere to treatment (as defined by ≥ 80% adherence). None of the enrolled patients discontinued endocrine therapy, compared to 9% of historical controls. Side effects were common: hot flashes/night sweats (61% of patients), joint aches/pains (56%), and vaginal symptoms (29%) were reported. Severe side effects (reported by 29% of patients) prompted a return phone call to the patient. The study is ongoing and final results will be available by December 2015. Conclusion: We developed a new bi-directional text messaging intervention to assess adherence to endocrine therapy that provides real-time feedback to providers. Patients found the application helpful, easy to use, and not time consuming. Our tool is scalable for large population-based trials. Citation Format: Epstein LN, Jhaveri AP, Han G, Abu-Khalaf MM, Hofstatter EW, Sanft TB, DiGiovanna MP, Silber AL, Adelson KB, Chung GG, Pusztai L, Gross CP, Mougalian SS. Development of an interactive text messaging tool to improve adherence with adjuvant endocrine therapy: Breast cancer endocrine therapy adherence (BETA) pilot study. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P5-11-03.