HCI International 2020 – Late Breaking Posters

Table of Contents

1. Interacting with Data, Information and Knowledge

   1. Frontmatter

   2. Design and Construction of a Device for Obtaining Three-Dimensional Coordinates in Different Topographic Surfaces Through the Use of Wireless Networks, Gps and Altimeter

      Marlene Ballestas, Vladimir Pinzón, Ruben Guerra, Alonso Barrera, Jesús Vergara

      Abstract

      The present investigation is done through processes that permit to find the value of the unknown term “R”. The procedure for data collection disposed the transmitter and the receptor two meters apart, measuring the value of the parameter RSSI a total of twenty times; repeating this process every two meters, until the forty meters. The procedure for data collection disposed the transmitter and the receptor two meters apart, measuring the value of the parameter RSSI a total of twenty times; repeating this process every two meters, until the forty meters. In relation to the statistical treatment of the data, there were applied dispersion measurements or variability of the sample, such as the sample’s variation, the standard deviation of the sample and the error. The results established the existence of the relation between the two principal variables involved in the study. Potency (dBm) as independent variable and the distance as dependent variable, in conclusion, this is prove that the bigger the distance between the transmitter and the receptor is, the less power it expresses.

   3. Data Curation: Towards a Tool for All

      José Dias, Jácome Cunha, Rui Pereira

      Abstract

      Data science has started to become one of the most important skills one can have in the modern world, due to data taking an increasingly meaningful role in our lives. The accessibility of data science is however limited, requiring complicated software or programming knowledge. Both can be challenging and hard to master, even for the simple tasks.

      With this in mind, we have approached this issue by providing a new data science platform, termed DS4All.Curation, that attempts to reduce the necessary knowledge to perform data science tasks, in particular for data cleaning and curation. By combining HCI concepts, this platform is: simple to use through direct manipulation and showing transformation previews; allows users to save time by eliminate repetitive tasks and automatically calculating many of the common analyses data scientists must perform; and suggests data transformations based on the contents of the data, allowing for a smarter environment.

   4. BIMIL: Automatic Generation of BIM-Based Indoor Localization User Interface for Emergency Response

      Yanxiao Feng, Julian Wang, Howard Fan, Ce Gao

      Abstract

      Effective communications among team members enable them to stay resilient and make rapid decisions when they are facing uncertainty and complexity during an incident with time and resource constraints. With the rapidly-expanding indoor positioning technologies that support public safety operations, a more efficient and effective building information platform is needed to support indoor location data visualization and coordination efforts. On the other hand, building information modeling (BIM) has been widely accepted in the Architecture, Engineering, and Construction (AEC) industry as a central repository of building information. BIM does not only include accurate geometric building data and sufficient semantic information but also could be integrated with real-time smart building data. The ultimate goal of this research effort is to bridge the technology gap between various emerging indoor positioning technologies and abundant building information and thus to overcome the main shortcoming of the existing indoor building model. A BIM-based Indoor Location (BIMIL) portal is designed in this work for automatic data extraction, visualization, and transformation of BIM emergency-related data for public safety purposes. Subsequently, the new generalized building 3D model can be overlaid with indoor positioning data to support emergency responses.

   5. Towards Supporting Tools for Editors of Digital Scholarly Editions for Correspondences

      Tobias Holstein, Uta Störl

      Abstract

      Digital (scholarly) editions are considered to be imperfect tools that are unable to meet the expectations of their users. Based on a previous study with expert users and literature research, tasks and challenges in the process of creating a digital (scholarly) edition were identified. Referring to the term computer-aided digital humanities, we looked into the different tasks and how tools could provide the required “computer-aided” support. In the context of text-based tasks, we identified several support levels from simple syntax checks in XML-Editors, to WYSIWYA-Editors, and finally to context-sensitive support, which utilises data from the same context, e.g., documents of the same author, or from the same writing date. Furthermore, we present concepts and prototypes as work in progress, which focus on support of editors of digital (scholarly) editions.

   6. Body Map Pathway: Visual Guidance of Human Body to Diagnosis Efficiently

      HyunJin Jo

      Abstract

      It is important that clinicians continuously use clinical reasoning skills to verify the diagnosis [1]. The current app strives to provide a train and practice service to improve this necessary skill. It is a skill of combining individual symptoms and signs to arrive at a diagnosis. The app provides texts and simple icons that users can start from the medical specialties. Since the users are mostly novices who have little experience in real diagnosis, they had a hard time selecting options from the first page. To overcome this existing problem, a Body Map Pathway designed to ease the choice from the first page. The new service offers visualized guidance that supports users spontaneously choose the part of the body that links with symptoms. A visual test and moderate remote usability test carried out to check the usability of the new service. The participants in this case study are 1 GP and 1 medical doctor. The case study showed participants valued the remembrance of differentials in the process of diagnosis. And appreciated intuitiveness of the Body Map Pathway that eases the choice of the first page. Further development will be planned to improve the Body Map Pathway to meet the expectation of the medical information hierarchy.

   7. Novel Cluster Analytics for Analyzing COVID-19 Patient Medical Data

      Joseph E. Johnson, Dezhi Wu

      Abstract

      The ongoing global COVID-19 pandemic has caused more than 440,000 deaths among more than 8 million cases globally by Mid-June, 2020. This pandemic has caused a staggering worldwide socioeconomic impact and loss of lives. This research proposes an innovative technological approach to analyze COVID-19 patient data for new analytical insights via developing a transformative pattern identification algorithm for cluster analysis in tabular numerical data tables, e.g., patient medical data files and in disease networks. The underlying mathematics is based upon Lie algebras and continuous Markov transformations that are foundational in quantum theory, relativity, and theoretical physics. Our novel algorithm does not use an arbitrary concept of proximity or nearness but instead is based upon an information flow model where clusters are identified, and rank ordered by the matrix eigenvalues. The component clusters identify the degree of patient cluster participation by the nodal weight given by each associated eigenvector. Medical metadata tags in the tables are automatically linked to the cluster eigenvalue and eigenvectors to facilitate interpretation of the analytics. The core algorithm has been coded and will be ported to a cloud environment allowing other investigators to submit data files for cluster analytics. We plan to analyze COVID-19 patterns and expect to work with other medical research teams on pattern identification in deidentified medical patient data sets. We expect this ongoing research to lead to significant practical and theoretical insights and a greater understanding of our transformative network clustering algorithm at the individual COVID-19 patient level, hospital level and beyond.

   8. A Study on Infographic Design of Door Dehumidifier

      Junyoung Kim, Eunchae Do, Dokshin Lim

      Abstract

      Millennials in Korea tend to live in a small studio alone. We focused on a common problem that this kind of one-person households have, which is that most of them suffer from laundry process due to the lack of drying feature in the built-in washing machines in their studios. “Door Dehumidifier” is a conceptual product that we propose to solve this problem. Installing our “Door Dehumidifier” in place of the existing door of their built-in washing machines will enable to manage the humidity automatically both inside and outside area of washing machines. The present paper describes how the infographic LED display of the new concept “Door Dehumidifier” communicate with the users. We designed the infographic with effectiveness and efficiency of the human-machine interaction in mind. Applying calm tech philosophy, we propose five infographics of “Door Dehumidifier” which we test and go through iterations to improve the final infographic design.

   9. DNA as Digital Data Storage: Opportunities and Challenges for HCI

      Raphael Kim

      Abstract

      DNA molecules can retain information in high densities, with high durability and low overall energy cost. This would make DNA-based data storage system a compelling solution in placating the increasing gap between global data production and our current means to store data. While key technical developments in recent decades have allowed DNA-based data storage systems to slowly progress closer to mainstream usage, there has been an overall lack of discourse surrounding potential implications of the system in the context of human computer interaction (HCI). This article introduces the DNA-based technology, followed by highlights of some of the potential opportunities and challenges it brings to the HCI community. In summary, DNA-based data storage systems offer a new research topic for user experience studies and data physicalization, and these are driven by inherent biological qualities of the DNA. As a tool, given the longevity of DNA, the system could also function as a multi-lifespan information management product, designed to help in addressing long-term wicked problems. In terms of challenges, ethical implications surrounding the technology ownership, and communication hurdles for HCI researchers working with the new technology, should also be considered and addressed.

   10. Decision Making Process Based on Descriptive Similarity in Case of Insufficient Data

       Ahto Kuuseok

       Abstract

       This paper examines the possibilities and tools for quantifying the similarity of situations and developments, especially in relation to the outbreak of armed conflict. In previous works, the author has discussed structural similarity and descriptive similarity, plausibility. In the case of descriptive similarity, descriptions of events in situations and sets of statements have been used. Their numerical assessments of similarity are based on an assessment of the similarity of the respective situations and developments. This numerical estimate is based on the concept of the so-called descriptive similarity coefficient and the calculation prescript. In the investigation of descriptive similarity of situations and developments, they are viewed as algebraic systems in which the goal is to relate similarity to plausibility. It turned out that in the case of the security developments examined, there were very few allegations from descriptions found in public sources that reflected the real causes of the armed conflicts that had erupted. Probably partly because historical approaches have different views and the real reasons are contained in non-public databases. This explains why the searched common part was not found. As we did not find intersection among the allegations selected and observed and from the descriptions of the military attacks, we had to look for something else to replace it. For this purpose, the associators and, through them, the associations of descriptions (as relevant sets of claims) have been used below. Figuratively speaking, associators are statements from different descriptions that could be equated with each other - associations are a set of descriptions that are linked to each other by statements from different associatiors. We are trying to find a threshold above which it would be sensible to “hear warning signs”. The author’s relevant experience since working in the respective services has also been helpful.

   11. Fortune at the Bottom of the Information Pyramid: Leveraging Data Logs to Derive Experience Insights, a Reflective Case Study

       Rutuja More

       Abstract

       In this case study, we aim to discuss and reflect on the methodology adopted by the UX team to come up with user and usage analytics insights in the absence of the same by using data generated from system logs and creating custom queries to derive reports to measure user experience. Thus data led to information. This then helped UX designers to derive behaviour and usage insights which translated to design recommendation hypothesis which were then validated against business objectives through stakeholder interactions. Thus information created knowledge and helped create a business value as well as evangelise UX within a technology driven organisation. Through this exercise designers learnt how data could be leveraged as a medium to create qualitative insights. The business witnessed the RoI of design as the findings were backed by data. This study also paved a path for engagements that are in progress between designers and data scientists to collaborate using Splunk and other analytics tools to mine richer user insights and drive strategy through data driven design approach.

   12. Real-Time Video Stream Reduction on Mobile Devices for Generation of Ground Truth Data for Indoor Localization

       Benny Platte, Christian Roschke, Rico Thomanek, Tony Rolletschke, Ruben Wittrin, Claudia Hösel, Frank Zimmer, Marc Ritter

       Abstract

       We would like to offer users an easy way to generate smart pre-selected high quality Ground Truth Data for location detection.

       We use the hardware-accelerated computation in image buffers available in modern smartphones and investigate the automatized “picking” of the most suitable images out of the running video stream. Furthermore we investigate the real-time capability of the selection algorithms and ask the question: How do the reduced reference data perform after the training of image classifiers compared to the “stupid all-saver”?

       In summary, a factor 10 reduction of the image quantity is achieved in real time by intelligent selection directly at the source on the smartphone without losing recognition quality.

   13. Challenges of Simulating Uncertainty of Information

       Adrienne Raglin, Somiya Metu, Dawn Lott

       Abstract

       Human information interaction including human computer interaction is complex given the variability of the human and now the ever-increasing amount of information available. While more information seems to be ideal, most would agree that having the needed information at the time required maybe the ideal. This is particularly true for decision-making. At each step along the decision-making process, different information may be needed so that the goal of generating the best decision is reached. However, information is not perfect and comes with uncertainties. Our approach has been to explore what we have termed uncertainty of information (UoI) and its impact on decision-making. We have selected Gershon’s taxonomy of imperfect information as variable descriptors to represent potential sources of uncertainty. Using terms from the taxonomy we have created an algorithm that can capture the uncertainty from this point of view. In addition, we have developed simulations to begin to explore the how UoI from various sources can influence decision-making. Consequently, we have been faced with the difficulties of building a general comprehensive model for simulating UoI. These difficulties range from how to express the behavior of the human to how to express the behavior of the computer and devices that may be providing the information. The difficulties also include how to incorporate the different factors and underlying dependencies that contribute to the UoI value.

   14. Discontinued Public Spheres? Reproducibility of User Structure in Twitter Discussions on Inter-ethnic Conflicts

       Anna S. Smoliarova, Svetlana S. Bodrunova, Ivan S. Blekanov, Alexey Maksimov

       Abstract

       Recently, communication scholars have paid attention to the growing dissonant and dissipative character of the public spheres, especially in their connection to networked discursive spaces. While substantial dissonance of the discussions is well addressed, structural discontinuity of public discussion remains under-explored. Reproducibility of the discussions on similar issues or events in time, we argue, needs to be seen as a marker of stability of public spheres. In this paper, we compare the user and influencer structure of two similar discussions on German Twitter of 2016 (the Cologne mass harassment) and 2019 (the Chemnitz killing). We show that the overall reproducibility of the discussions is extremely low, and the only structural element that reproduces are influential media, mostly of national reach. But even the stability of media presence must be questioned, as both intensity of their presence within the discussion and user engagement with their tweets varies much from one discussion to the other. Thus, one may conclude that the structural stability of public discussion of similar events on Twitter is not reached.

   15. A Design and Evaluation of Coefficient of Variation Control Chart

       Chauchen Torng, Haoren Jhong

       Abstract

       Statistical Process Control (SPC) is widely used in practice, and the control chart is a main tool in SPC. The control chart monitors process quality and detects process variations in real time to reduce the defective products. Regulatory maps are used in clinical trials and agronomic industries, and the mean and variance are not constants, and the coefficient of variation is an indicator of the reliability of chemical tests. However, the coefficient of variation control chart (CV Chart) monitors the coefficient of variation, and the ability to detect small shift sizes is not good. This study uses a double sampling plan combined with a coefficient of variation control chart (DS CV chart) to improve the performance of CV Chart. A design model of DS CV chart is also created to optimize its parameters. The results of the study show that the good performance of DS CV chart in small shift detection.

   16. A Study on Presentation Method of Video Thumbnail on SNS Using Micro-Moments

       Wonseok Yang, Cliff Shin

       Abstract

       It is necessary to conduct research find out effective format of video thumbnails that users gain information in Micro-Moments when video thumbnails are being presented to users. The methodology we used is to find elements that influence their decisions by providing content that can be recognized and that has an interesting element while the participants are using SNS in a short period. The textual information and fast-forwarding format were effective to comprehend contents regardless of intensity and amount of movement. Authors believe that it would be better for the audience that contents can be intuitively recognized as video clips because comprehension of con-tents and interests can be changed by audiences’ interests when contents have many moving elements. However, fast-forwarding is an effective method to attract audiences’ interests for contents that have subtle moving elements. Therefore, the contents that have subtle moving elements can in-duce fast-forwarding. This research of video clips on SNS administers micro-moments that can increase in contents understanding and thumbnail method that the audience can effectively recognize contents. In terms of understanding content, it was effective for the audience to increase under-standing by a combination of fast-forwarding and textual information.

   17. Enabling Authors to Produce Computable Phenotype Measurements: Usability Studies on the Measurement Recorder

       Limin Zhang, Hong Cui, Bruce Ford, Hsin-liang Cheng, James Macklin, Anton Reznicek, Julian Starr

       Abstract

       We believe authors are the most authoritative in defining characters they record. Currently, it is professional curators to convert phenotype characters in publications from human language to computable language using ontology. Such a curation process is not only slow and costly, but it is also jeopardized by significant inter-curation variation issues that are well-known but not systematically addressed. In an effort to make scientific publication semantically clear at the time of publication, we are designing, developing and evaluating a series of ontology-aware software prototypes to support authors to produce phenotypic data that can be readily harvested by computers. One of this series, Measurement Recorder, has been developed to assist authors to define numerical measurements of characters. Two usability studies have conducted with 22 undergraduate students who majored in information science and 32 biology undergraduate students respectively.

       Results obtained from the questionnaires and user interaction log data suggest that users can use the Measurement Recorder without training and find it easy to use. Users also appreciate semantic features that enhance data quality. A set of software design issues have also been identified and new features/modifications have been approved by three botanists on the team and implemented to address these issues. This module will be included in a larger Character Recorder platform where both categorical and numerical characters are supported. Future work includes representing the semantic data as RDF knowledge graph and characterizing the division of work between authors as domain knowledge providers and ontology engineers as knowledge formalizers.