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Designing With Chemical Haptics, Jasmine Lu Jun 2022

Designing With Chemical Haptics, Jasmine Lu

DRS Biennial Conference Series

Designers have developed a vast array of rich interactions to stimulate the mind and body. While much of the focus has been on creating visual systems (such as in VR), there is increasing interest in developing ways to reproduce touch sensations. This turn suggests a desire to create interactive experiences that involve our whole bodies and not solely our visual senses. However, a major part of the human sensorium has been neglected: our chemosensory systems, the sensory pathways that respond to chemical stimuli. Chemical receptors exist all throughout our body and are embedded throughout our skin. In this paper, I …


Designing Narrative-Based Interfaces For Collective Action: A Case Study Using Amazon, Climate Change, And Consumer Behavior, Catherine Parnell Jun 2022

Designing Narrative-Based Interfaces For Collective Action: A Case Study Using Amazon, Climate Change, And Consumer Behavior, Catherine Parnell

Dartmouth College Undergraduate Theses

Climate change is the most pressing issue facing future generations. Amongst expanses of the population there is a lack of collective action on environmental issues, as there is a large gap between awareness and behavior change. This study suggests persuasive design that utilizes a narrative framing as a solution to reduce barriers to engaging in issues of collective action. Through extensive need-finding studies to understand target users, this thesis uses online-shopping via Amazon as a context for arguing that narrative can support actionable change in behavior. The technical artifact resulting from this research is a developed chrome extension and web …


Who Is Missing? Characterizing The Participation Of Different Demographic Groups In A Korean Nationwide Daily Conversation Corpus, Haewoon Kwak, Jisun An, Kunwoo Park Jun 2022

Who Is Missing? Characterizing The Participation Of Different Demographic Groups In A Korean Nationwide Daily Conversation Corpus, Haewoon Kwak, Jisun An, Kunwoo Park

Research Collection School Of Computing and Information Systems

A conversation corpus is essential to build interactive AI applications. However, the demographic information of the participants in such corpora is largely underexplored mainly due to the lack of individual data in many corpora. In this work, we analyze a Korean nationwide daily conversation corpus constructed by the National Institute of Korean Language (NIKL) to characterize the participation of different demographic (age and sex) groups in the corpus.


Evaluation Of The Accessibility Of Touchscreens For Individuals Who Are Blind Or Have Low Vision: Where To Go From Here, Elizabeth Codick May 2022

Evaluation Of The Accessibility Of Touchscreens For Individuals Who Are Blind Or Have Low Vision: Where To Go From Here, Elizabeth Codick

Theses

Touchscreen devices are well integrated into daily life and can be found in both personal and public spaces, but the inclusion of accessible features and interfaces continues to lag behind technology’s exponential advancement. This thesis aims to explore the experiences of individuals who are blind or have low vision (BLV) while interacting with non-tactile touchscreens, such as smartphones, tablets, smartwatches, coffee machines, smart home devices, kiosks, ATM machines, and more. The goal of this research is to create a set of recommended guidelines that can be used in designing and developing either personal devices or shared public technologies with accessible …


Hci Education And Ux Practice: Highlights From Singapore, Tamas Makany, Dharani Perera-Schulz May 2022

Hci Education And Ux Practice: Highlights From Singapore, Tamas Makany, Dharani Perera-Schulz

Research Collection Lee Kong Chian School Of Business

This position paper highlights trends in education, practice, and support of HCI/UX in Singapore, a small city-state island in Southeast Asia. The paper was prepared for the 2022 Southeast Asia Computer-Human Interaction (SEACHI'22) virtual workshop on Apr 14, 2022, as part of the ACM CHI Conference on Human Factors in Computing Systems (CHI'22) international conference.


Topic-Guided Conversational Recommender In Multiple Domains, Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua May 2022

Topic-Guided Conversational Recommender In Multiple Domains, Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

Conversational systems have recently attracted significant attention. Both the research community and industry believe that it will exert huge impact on human-computer interaction, and specifically, the IR/RecSys community has begun to explore Conversational Recommendation. In real-life scenarios, such systems are often urgently needed in helping users accomplishing different tasks under various situations. However, existing works still face several shortcomings: (1) Most efforts are largely confined in single task setting. They fall short of hands in handling tasks across domains. (2) Aside from soliciting user preference from dialogue history, a conversational recommender naturally has access to the back-end data structure which …


Dark Patterns: How Interaction Design Turned To Deception, Ian Bansenauer Apr 2022

Dark Patterns: How Interaction Design Turned To Deception, Ian Bansenauer

WWU Honors College Senior Projects

This essay examines the influence of human computer interaction design history on the current practice of deceptive “dark patterns” in interface design. It traces the design evolution of the computer from its initial use as a mathematical tool to the creation of the internet, and towards the current focus on user retention and profitability through the rise of growth hacking and deceptive design practices. Examples of past and current research on interaction design and dark patterns are used to determine that design choices have a measurable effect on user actions. After reviewing the types of dark patterns and their modes …


Computer Enabled Interventions To Communication And Behavioral Problems In Collaborative Work Environments, Ashutosh Shivakumar Jan 2022

Computer Enabled Interventions To Communication And Behavioral Problems In Collaborative Work Environments, Ashutosh Shivakumar

Browse all Theses and Dissertations

Task success in co-located and distributed collaborative work settings is characterized by clear and efficient communication between participating members. Communication issues like 1) Unwanted interruptions and 2) Delayed feedback in collaborative work based distributed scenarios have the potential to impede task coordination and significantly decrease the probability of accomplishing task objective. Research shows that 1) Interrupting tasks at random moments can cause users to take up to 30% longer to resume tasks, commit up to twice the errors, and experience up to twice the negative effect than when interrupted at boundaries 2) Skill retention in collaborative learning tasks improves with …


Automatically Classifying Familiar Web Users From Eye-Tracking Data:A Machine Learning Approach, Meli̇h Öder, Şükrü Eraslan, Yeli̇z Yesi̇lada Jan 2022

Automatically Classifying Familiar Web Users From Eye-Tracking Data:A Machine Learning Approach, Meli̇h Öder, Şükrü Eraslan, Yeli̇z Yesi̇lada

Turkish Journal of Electrical Engineering and Computer Sciences

Eye-tracking studies typically collect enormous amount of data encoding rich information about user behaviours and characteristics on the web. Eye-tracking data has been proved to be useful for usability and accessibility testing and for developing adaptive systems. The main objective of our work is to mine eye-tracking data with machine learning algorithms to automatically detect users' characteristics. In this paper, we focus on exploring different machine learning algorithms to automatically classify whether users are familiar or not with a web page. We present our work with an eye-tracking data of 81 participants on six web pages. Our results show that …