scispace - formally typeset
Search or ask a question

How can I text from my tablet to a cell phone? 

Answers from top 10 papers

More filters
Papers (10)Insight
We propose a system called Haptic Pad for Impressive Text Communication for creating text messages with haptic stimuli using the SPIDAR-tablet haptic interface.
Open accessJournal ArticleDOI
Nader Barsoum, Izam Faizan Bin Moidi 
3 Citations
By implementing GSM module on the control circuit of motor, it can enable the user to send text message that contain command from any mobile phone to that GSM module.
How an individual feels toward their phone appears to relate to how reliant an individual is on texting in their day-to-day lives.
Proceedings ArticleDOI
Hong Zhuang, Zhaoqing Wang 
01 Aug 2006
13 Citations
Using WAP technique, cell phone can be used as a client.
The author demonstrates how mobile phone text messaging can be used to overcome the limitations of pencil-and-paper experiments without incurring the costs of full computerization.
The study demonstrated the feasibility of using simple mobile phone text messages to transmit timely surveillance data from peripheral health facilities to higher levels.
The study contributes to the general field of mobile phone design for the elderly, to our knowledge on how people appropriate and learn to use new technologies, as well as adds to models explaining novice users' mastering of text input.
Mobile phone text messaging offers a useful means of contact between clinic visits.
This study thus reports different findings from previous work studying text entry on handheld devices, encouraging further examinations to fully understand the effect of tactile feedback on text entry in tablet devices.
Open accessJournal ArticleDOI
Barry O, Kevin Curran, Derek Woods 
18 Citations
The aim of the study was to establish which mobile phone text input method best suits the requirements of a select group of target users.

See what other people are reading

Why isn’t there a universal sign language?
5 answers
A universal sign language does not exist due to various factors such as historical oppression, limited recognition of sign languages as legitimate languages, and the diverse nature of sign languages used by different Deaf communities. Efforts to standardize sign languages have often been led by hearing professionals without sufficient involvement from Deaf individuals themselves. Additionally, the marginalization of sign languages as minority languages can impact the economic and social opportunities of Deaf individuals, hindering the establishment of universal bilingualism in sign languages. Furthermore, the complexity of communication barriers, varying proficiency levels in different sign languages, and the need for multimodal approaches in communication present challenges in creating a universally accepted sign language system.
What does ict mean?
4 answers
ICT, which stands for Information and Communication Technology, encompasses a wide range of technologies related to communication systems and software programs. It includes devices like computers, mobile phones, radios, and services such as audio calls and multimedia messages. In the agricultural sector, ICT has been utilized for initiatives involving web, mobile apps, SMS, and IVR in multiple languages, facilitating the dissemination of information from crop-specific to value chain details. Moreover, ICT tools have played a crucial role during the COVID-19 pandemic, serving as a vital tool for maintaining social connections and creating virtual environments in various sectors like Education, Health Care, Business, FMCG, and Entertainment.
How does user emotions impact vr visitor experience in the context of cultural heritage?
5 answers
User emotions play a crucial role in shaping the visitor experience in virtual reality (VR) applications related to cultural heritage. VR experiences aim to evoke emotional engagement by immersing users in historical narratives, creating a sense of presence in the past, and triggering specific neural responses in the brain. By leveraging immersive storytelling techniques and interactive elements, VR applications can elicit emotional responses from users, enhancing their overall engagement and interest in exploring cultural heritage sites. Studies have shown that the realism of virtual reconstructions, the atmosphere created, and the "sense of the past" conveyed in VR experiences positively influence visitors' emotional engagement and interest in further exploration. Understanding and catering to user emotions are essential for designing effective and engaging VR experiences in cultural heritage contexts.
What are the most common challenges faced by students and professionals in Computer-Aided Design (CAD) education and training?
4 answers
Students and professionals in Computer-Aided Design (CAD) education and training encounter various challenges. For students, transitioning from face-to-face to online learning poses difficulties in design learning, although it also presents opportunities for peer learning and active class involvement. On the other hand, professionals face challenges related to collaborative design, communication, data management, and permissioning when working with distributed CAD tools, hindering effective collaboration in CAD teams. The pandemic further exacerbated these challenges, forcing educators to adapt quickly to online teaching methods, impacting the practices of design education significantly. Overall, both students and professionals grapple with adapting to new learning environments, communication barriers, and managing collaborative workflows in CAD education and training.
How does the relationship between creative self-efficacy and flexible thinking vary across different cultural contexts and demographic groups?
5 answers
The relationship between creative self-efficacy and flexible thinking varies across different cultural contexts and demographic groups. Research indicates that self-efficacy is positively correlated with task enjoyment, effort, and creative performance. Additionally, individuals with higher self-efficacy tend to exhibit greater flexibility in their thinking, which in turn enhances originality. Moreover, cultural factors such as individualism and collectivism can mediate the creative mindset between different countries, influencing creative self-efficacy. Furthermore, children demonstrate remarkable flexibility in transferring external strategies across contexts as they age, showcasing individual differences in the strategies devised. These findings suggest that cultural contexts and demographic factors play a significant role in shaping the relationship between creative self-efficacy and flexible thinking.
Are women more likely to pose at gym than men?
5 answers
Women are less likely to engage in weightlifting compared to men due to cultural dissociation and evaluation concerns associated with strength-related exercise goals. However, when it comes to posing at the gym, research on Instagram fitness influencers reveals that there are no significant gender differences in the objectification of males and females in terms of muscularity and sultry poses. Artificial intelligence and machine learning technologies are increasingly being used in the fitness industry for human pose estimation, aiding in activities like counting repetitions during weightlifting or CrossFit events. These technologies can be applied in gym trainer trackers to assist individuals in achieving their fitness goals by accurately assessing their movements and poses.
What papers have implemented RRT on dynamic targets?
5 answers
The research papers that have implemented Rapidly-exploring Random Trees (RRT) on dynamic targets include papers on radar cross sections (RCS) modeling for dynamic aircraft, dynamic target following control for autonomous vehicles, and regression-based speech end-pointing models for interactive voice assistants. These papers utilize RRT in various contexts such as simulating dynamic RCS data efficiently, controlling autonomous vehicles to follow dynamic targets smoothly, and improving speech end-pointing accuracy and latency for voice assistants. Each paper demonstrates the effectiveness of using RRT in addressing the challenges associated with dynamic targets in their respective domains.
What are some effective strategies for addressing data quality and availability challenges in policymaking?
5 answers
Effective strategies for addressing data quality and availability challenges in policymaking involve implementing quality metrics to analyze datasets, ensuring data reliability, relevance, and sufficiency, and leveraging big data resources. By focusing on the quality of open data, governments can better use, manipulate, and distribute information to citizens for informed decision-making. Additionally, utilizing big data can help fill information gaps in ecosystem services evaluation, although careful management is necessary due to certain limitations. A data-driven policy-making framework, such as the RULER criteria (Reliable, Uncoupled, Lifecycle, Environment, Relevant), can aid in evaluating and filtering data for waste management and policy-making, ensuring the collection of necessary and reliable data for informed decision-making. Policymakers must recognize the critical importance of data quality in shaping policies, as policies are direct products of the data considered during their formulation.
How can both tDCS and tACS be used in biopsychology?
5 answers
Both transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS) can be utilized in biopsychology research to modulate brain activity and cognition. tDCS is effective for behavioral investigations due to its subthreshold neuromodulation effects, allowing for the study of behavior alongside brain activity. On the other hand, tACS and tDCS have been shown to be equally effective in targeting both hemispheres and enhancing brain dynamics in high-definition configurations, which could be clinically relevant. Additionally, tDCS and tACS have been compared in terms of their effects on large-scale functional networks, with tDCS increasing functional connectivity within the default-mode network (DMN) while tACS decreased it, showcasing their differential impacts on brain activity and network dynamics. These findings highlight the versatility and potential of both tDCS and tACS in advancing biopsychological research.
How LLM can do complex human tasks?
5 answers
Large Language Models (LLMs) can handle complex human tasks by bridging the gap between humans and machines through innovative interaction frameworks. These models translate natural language task descriptions into intermediary representations for effective planning and execution. By incorporating low-code visual programming interactions, LLMs offer controllable and stable responses, enhancing user-friendly interactions and applicability across various scenarios. LLMs can replicate human-like behavior in crowdsourcing tasks, showcasing potential in complex task domains when combined with human expertise. Leveraging autoregressive re-prompting, LLMs can correct errors and improve task completion rates, outperforming traditional LLM-based planning methods in intricate environments. Overall, LLMs demonstrate promise in efficiently handling complex tasks by enabling structured planning workflows and joint task-and-motion planning algorithms.
What is the advantages of the knowledge ditillation technique of the edge deployement?
4 answers
Knowledge distillation offers significant advantages in edge deployment scenarios. By employing knowledge distillation, lightweight models with high accuracy can be generated based on full models trained in the cloud, addressing the challenge of limited onboard resources and high-performance requirements in UAV delivery services. Additionally, in Federated Edge Learning (FEL), knowledge distillation plays a crucial role in overcoming challenges related to resources, personalization, and network environments, enhancing the efficiency and effectiveness of collaborative on-device machine learning model training without compromising data privacy. Moreover, in personalized federated learning, self-knowledge distillation enables the acceleration of recalling personalized knowledge for individual clients, leading to improved model performance and robustness in edge computing environments.