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 $P$-partition conjecture holds, the regular Schur labeled skew shape posets with underlying set $\{1,2,\ldots, n\}$ are precisely the posets $P$ such that the $P$-partition generating function is symmetric and the set of linear extensions of $P$, denoted $\Sigma_L(P)$, is a left weak Bruhat interval in the symmetric group $\mathfrak{S}_n$. We describe the permutations in $\Sigma_L(P)$ in terms of reading words of standard Young tableaux when $P$ is a regular Schur labeled skew shape poset, and classify $\Sigma_L(P)$'s up to descent-preserving isomorphism as $P$ ranges over regular Schur labeled skew shape posets. The results obtained are then applied to classify the $0$-Hecke modules $\mathsf{M}_P$ associated with regular Schur labeled skew shape posets $P$ 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 $\mathfrak{S}_n$. Using this characterization, we construct distinguished filtrations of $\mathsf{M}_P$ with respect to the Schur basis when $P$ is a regular Schur labeled skew shape poset. Further issues concerned with the classification and decomposition of the $0$-Hecke modules $\mathsf{M}_P$ 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

Audience reconstructed: social media interaction by BTS fans during live stream concerts

COVID-19-motivated social distancing made online concerts common practice in 2020 and 2021, with millions logging into streaming sites to see their favorite artists perform in realtime. For some fans, watching alone at home may have been enough, but concert-concurrent surges of social media activity suggest many virtual performance attendees are doing more. To understand why fans would turn their attention from these precious performance streams to social media, we explored Twitter engagement during four live streamed concerts performed by the Kpop group BTS in 2021. In public Tweets sampled by either concert hashtag or a predefined stream of users and keywords, we evaluated patterns in posting rates in relation to concert program events and investigated the content patterns in 1,200 Tweets sampled from four ranges of popularity (number of Retweets during the concert). Across concerts, short “Shout” Tweets surged at the start of songs, while the rate of retweets often fell during musical performances and shot up when BTS was off stage. Content analysis on the subsample found the materials most widely shared were informational or featured concert visuals, mimicking how fans use their phones at in-person concerts. Most original posts received few Retweets and were more personal and expressive of admiration for the performers. Comparison between the samples (concert hashtag vs. stream) also suggests users were strategic in using or omitting official concert hashtags with the strongest differences in the most widely disseminated content. Postings on Twitter during these performances seemed principally directed to fellow fans and audience members, by individuals choosing to share their own excitement and check in with others. By leveraging their existing social media networks, these concert attendees constructed a collective and interactive concert space, connecting with friends and strangers in the crowd and helping each other capture a richer experience than any broadcasting platform currently supports

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