1,416 research outputs found
PicCo: Improved Communication between Elderly People & Geographically Remote Family Members through IoT Design
Department of Creative Design EngineeringWith the increase in the number of elderly people living alone, the social disconnect they are experiencing is an increasing issue. Through an interview study, we discovered a need for a socially uninterrupted connection, especially with remote family relationships. In practice, however, elderly users were discovered to have difficulty communicating with other family members, including children and grandchildren. A lack of time and the difference in communication methods appeared to compound these difficulties. To address these challenges, we explored existing communication methods for elderly users and their family members through a desktop study, to explore existing and appropriate communication methods for elderly users and family members living far away. Through this process, we discovered several findings from existing research. Specifically, clarity and simplicity in product or service design were identified. In addition, a requirement for an unobtrusive way in which communication could be achieved so as not to interfere with the day-to-day lives of family members. We proposed a concept that can be used as a new communication method to address these challenges. The elderly who live alone feel difficulty in communicating with their family because of the difference in contact methods used (analog and phone conversations vs. extensive and increasing use of various social media platforms within the Korean context). These issues were compounded by a lack of time due to busy life and work habits. A user-centered approach was the starting point for our PicCo concept. A challenge is to offer products in the most familiar way for the elderly living alone. The elderly and their adult children have different preferred interaction methods. However, existing products offer communication in only one way (one product or one application). This tends to interfere with the continued use of the product. We provide the most familiar method for each target. For older people who are familiar with physical products, we offer more intuitive, physical interaction points. In addition, we continue to develop the product by providing an application for adult children who consider accessibility to be important. In addition, PicCo provides communication clues in an unobtrusive way in the daily lives of users by adding 20 minutes of delay to upload images and voice notes. We conducted a usability evaluation for elderly users over the age of 65 to confirm the effectiveness of the PicCo concept. The usability evaluation was undertaken using a working prototype that implements the three main functions of the concept: recording, keeping image, and moving to next image. As a result, we identified some usability issues and opportunities for the concept???s further development. By improving the directional recognition/functionality structure of the buttons and simplifying the use process, we were able to extend existing communication, which was limited to voice call, to a richer way of communication, using images and voices. Based on the understanding of the elderly, we extended the notion of elderly and family communication currently confined to existing device-based applications. By presenting considerations and development points for future research, we finally suggest new design opportunities to provide elderly communication solutions.ope
Regular Schur labeled skew shape posets and their 0-Hecke modules
Assuming Stanley's -partition conjecture holds, the regular Schur labeled
skew shape posets with underlying set are precisely the
posets such that the -partition generating function is symmetric and the
set of linear extensions of , denoted , is a left weak Bruhat
interval in the symmetric group . We describe the permutations
in in terms of reading words of standard Young tableaux when
is a regular Schur labeled skew shape poset, and classify 's up to
descent-preserving isomorphism as ranges over regular Schur labeled skew
shape posets. The results obtained are then applied to classify the -Hecke
modules associated with regular Schur labeled skew shape posets
up to isomorphism. Then we characterize regular Schur labeled skew shape
posets as the posets whose linear extensions form a dual plactic-closed subset
of . Using this characterization, we construct distinguished
filtrations of with respect to the Schur basis when is a
regular Schur labeled skew shape poset. Further issues concerned with the
classification and decomposition of the -Hecke modules are
also discussed.Comment: 44 page
Preliminary evidence for the psychophysiological effects of technologic feature in e-commerce
As information and communication technologies are advanced, consumers are now able to enhance their e-commerce experiences regardless the channel, and it leads fashion retailers to develop better innovative experiential strategy to secure sustainable competency. The purpose of this study is to focus on apparel website to investigate the effect of branded contents on consumer\u27s pleasure and arousal that in turn may influence consumer\u27s response behaviors. This study employed S-O-R paradigm which explains that consumers\u27 inner organisms change according to the exposed external stimulation, and the changes antedate behavioral responses. Pleasure and arousal were measured with BioPAC MP150, which indicates the changes of electromyogram (EMG: pleasure), galvanic skin reflex (GSR: arousal), and heart rate (HR: pleasure) follow by the self-reported survey about behavioral responses. This study found that the effect for e-commerce\u27s branded content video on consumer\u27s response is indirect, and change of arousal is an indicator of hedonic shopping behavior
ChEDDAR: Student-ChatGPT Dialogue in EFL Writing Education
The integration of generative AI in education is expanding, yet empirical
analyses of large-scale, real-world interactions between students and AI
systems still remain limited. In this study, we present ChEDDAR, ChatGPT & EFL
Learner's Dialogue Dataset As Revising an essay, which is collected from a
semester-long longitudinal experiment involving 212 college students enrolled
in English as Foreign Langauge (EFL) writing courses. The students were asked
to revise their essays through dialogues with ChatGPT. ChEDDAR includes a
conversation log, utterance-level essay edit history, self-rated satisfaction,
and students' intent, in addition to session-level pre-and-post surveys
documenting their objectives and overall experiences. We analyze students'
usage patterns and perceptions regarding generative AI with respect to their
intent and satisfaction. As a foundational step, we establish baseline results
for two pivotal tasks in task-oriented dialogue systems within educational
contexts: intent detection and satisfaction estimation. We finally suggest
further research to refine the integration of generative AI into education
settings, outlining potential scenarios utilizing ChEDDAR. ChEDDAR is publicly
available at https://github.com/zeunie/ChEDDAR
An Approach to the Difference of Store Environments on Customer Experience Realms and Behaviors
The purpose of this study is to investigate the store environment if the presence of technology and different brand types have significant effect on customer experience realms and behavior intentions
Rethinking Annotation: Can Language Learners Contribute?
Researchers have traditionally recruited native speakers to provide
annotations for widely used benchmark datasets. However, there are languages
for which recruiting native speakers can be difficult, and it would help to
find learners of those languages to annotate the data. In this paper, we
investigate whether language learners can contribute annotations to benchmark
datasets. In a carefully controlled annotation experiment, we recruit 36
language learners, provide two types of additional resources (dictionaries and
machine-translated sentences), and perform mini-tests to measure their language
proficiency. We target three languages, English, Korean, and Indonesian, and
the four NLP tasks of sentiment analysis, natural language inference, named
entity recognition, and machine reading comprehension. We find that language
learners, especially those with intermediate or advanced levels of language
proficiency, are able to provide fairly accurate labels with the help of
additional resources. Moreover, we show that data annotation improves learners'
language proficiency in terms of vocabulary and grammar. One implication of our
findings is that broadening the annotation task to include language learners
can open up the opportunity to build benchmark datasets for languages for which
it is difficult to recruit native speakers.Comment: ACL 202
The Analysis of Antecedents for the Video Telephony Service Adoption: From the Value-Based Perspective
Korean Telecommunications Industry has a large scale market and boasts on high service quality and high technologies enough to provide the Video Telephony Service (VTS) satisfactorily. For many years, Korean telephone companies have been investing enormous sums to advertise their services widely and to allow their customers to change their cell phones for the third-generation (3G) devices indispensable for the service. However, despite their efforts, the VTS adoption rate in Korea is very low and it seems that customers seldom feel the necessity to use. From this viewpoint, it becomes necessary to find the antecedents influencing the intention to use for the VTS empirically. For this purpose, we proposed several hypotheses from the perspective of the Value-based Adoption Model (VAM). VAM is a conceptual model suggested to overcome some limitations of the Technology Acceptance Model (TAM) in explaining the adoption of new Information and Communication Technology (ICT) such as Mobile Internet where customers play the role of service consumer rather than simply technology users. We conducted a survey on 125 samples and found that customers perceive the value of VTS when they can recognize the service is functionally useful (Perceived Usefulness) and when they feel they can put themselves forward by using it (Self-Expression). On the other hand, the other factors including Technical Complexity, Privacy Concern and Perceived Price (Fee) don’t have statistically significant influences on the Perceived Value of VTS
Troubleshooting Arterial-Phase MR Images of Gadoxetate Disodium-Enhanced Liver.
Gadoxetate disodium is a widely used magnetic resonance (MR) contrast agent for liver MR imaging, and it provides both dynamic and hepatobiliary phase images. However, acquiring optimal arterial phase images at liver MR using gadoxetate disodium is more challenging than using conventional extracellular MR contrast agent because of the small volume administered, the gadolinium content of the agent, and the common occurrence of transient severe motion. In this article, we identify the challenges in obtaining high-quality arterial-phase images of gadoxetate disodium-enhanced liver MR imaging and present strategies for optimizing arterial-phase imaging based on the thorough review of recent research in this field
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