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2022 Applied Informatics International Conference, AiIC 2022

作者： Yazid, Mariam Azwa Jantan, Azrul Hazri Universiti Putra Malaysia Faculty of Computer Science and Information Technology Human-Computer Interaction Research Group Serdang Malaysia

ISBN: (数字)9781728184289

ISBN: (纸本)9781728184289

Today, Internet has become one of the most useful tools for visually impaired community. They use Internet to help with their daily activities such as communication, information retrieval, online shopping, transportation, and many more using interactive websites. However, with the complexity of current website design, it somehow gives them a hard time. Therefore, it is critical to evaluate the interaction experience perceived by the visually impaired users when interacting with website. Based on analysis of previous research, the evaluation can be measured through three major aspects which are user experience, web accessibility and technology acceptance. Those three aspects are expected to influence the overall judgement of web application itself. This paper is meant to provide some insight on the methodological approach for evaluation of interactive website which emphasis on web accessibility need by the visually impaired users. © 2022 IEEE.

关键词： Web Design

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Identity and Community Matter(s): Exploring Socio-cultural Dimensions of Functional Service Robots Acceptance in Public Spaces

Identity and Community Matter(s): Exploring Socio-cultural D...

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IEEE International Workshop on Robot and human Communication (ROMAN)

作者： Anna Dobrosovestnova Ralf Vetter Astrid Weiss Human-Computer Interaction Group TU Wien Austria Department for Artificial Intelligence and Human Interfaces Human-Computer Interaction Division University of Salzburg Austria

ISBN: (数字)9798350375022

ISBN: (纸本)9798350375039

As autonomous functional robots proliferate in public spaces, understanding their acceptance among diverse populations becomes crucial. Traditional models of technology acceptance focus on behavioral and cognitive factors, overlooking the socio-cultural and temporal scaffolding of human-robot interaction. To address this gap, we present two themes (Identity Matters, Community Matters) resulting from a qualitative analysis of ethnographic interviews (n = 20) with passersby and vendors who have experienced Starship delivery robots deployed in their communities. Situating the outcomes of our analysis in relation to existing technology acceptance models, we offer five lessons contributing to the efforts in understanding existence and usage-related acceptance of autonomous functional robots in public spaces.

关键词： Technology acceptance model Service robots human-robot interaction Interviews Robots

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CSCW – past, present and future

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i-com 2024年第1期23卷 1-5页

作者： Richter, Alexander Koch, Michael Prilla, Michael Computer Science Department Universität der Bundeswehr München München Germany Wellington School of Business and Government Victoria University of Wellington Wellington New Zealand Interactive Systems Department for Human Centered Computing and Cognitive Science Faculty for Computer Science University of Duisburg-Essen Duisburg Germany

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How are ML-Based Online Content Moderation Systems Actually Used? Studying Community Size, Local Activity, and Disparate Treatment 22

How are ML-Based Online Content Moderation Systems Actually ...

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5th ACM Conference on Fairness, Accountability, and Transparency, FAccT 2022

作者： Wang, Leijie Zhu, Haiyi Department of Computer Science and Technology Tsinghua University Beijing China Human-Computer Interaction Institute Carnegie Mellon University PittsburghPA United States

ISBN: (纸本)9781450393522

Machine learning-based predictive systems are increasingly used to assist online groups and communities in various content moderation tasks. However, there are limited quantitative understandings of whether and how different groups and communities use such predictive systems differently according to their community characteristics. In this research, we conducted a field evaluation of how content moderation systems are used in 17 Wikipedia language communities. We found that 1) larger communities tend to use predictive systems to identify the most damaging edits, while smaller communities tend to use them to identify any edit that could be damaging;2) predictive systems are used less in content areas where there are more local editing activities;3) predictive systems have mixed effects on reducing disparate treatment between anonymous and registered editors across communities of different characteristics. Finally, we discuss the theoretical and practical implications for future human-centered moderation algorithms. © 2022 Owner/Author.

关键词： Online systems

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A Neural Architecture Search Method with Multi-Dimensional Correlation Representation for Fault Diagnosis 9

A Neural Architecture Search Method with Multi-Dimensional C...

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9th IEEE Smart World Congress, SWC 2023

作者： Liu, Yumeng Wang, Tingqi Zheng, Xu Tian, Ling Wang, Hongan Institute of Software Chinese Academy of Sciences Beijing Key Laboratory of Human-Computer Interaction Beijing China University of Chinese Academy of Sciences School of Computer Science and Technology Beijing China University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu China

ISBN: (纸本)9798350319804

As deep learning has become more widely used for fault diagnosis, the shortcomings of model transferability and human model design costs are growing increasingly evident. The current work has tackled each of these two issues. Domain adaptation methods can provide transportability by mapping data to a common domain. For the consumption of manually constructed networks, Neural Architecture Search (NAS) is an intelligent solution that automatically select the ideal network structure. Unfortunately, there is little work to connect these two methodologies in fault diagnosis. Furthermore, these approaches are incapable in extracting internal correlations from instrumental signal data. In this paper, we propose a transferrable NAS fault diagnosis method, which maximizes savings in manual costs. We also integrate graph neural networks (GNN) in a stepwise manner into the NAS and domain adaptation to provide a multi-dimension correlation representation. Firstly, we structure the signal data into graph based on temporal relationships. Then, NAS designs automatically for selecting the optimal network structure and useful features. In NAS, graph encoder of GNN is used to establish internal relationships. Finally, domain adaptation provides transferability. At the same time, GNN's weights in domain adaptation help to further mine data internal associations. We tested our method on two publicly available datasets and performed comparisons. The experimental results show the proposed method has superior performance. © 2023 IEEE.

关键词： Domain Adaptation Fault Diagnosis Graph Neural Network Neural Architecture Search

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Delivering Script Therapy for people with aphasia in EVA Park: Two single case treatment studies

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Advances in Communication and Swallowing 2024年第1期27卷 29-40页

作者： Marshall, Jane Devane, Niamh Berraondo, Jude Talbot, Richard Temponera, Panagiota Clegg, Katie Wilson, Stephanie Division of Language and Communication Science City University of London London United Kingdom Linguistic Resolutions Pinner United Kingdom Centre for Human-Computer Interaction Design City University of London London United Kingdom

BACKGROUND: There are few applications of virtual reality (VR) in aphasia rehabilitation. EVA Park is an online VR platform developed with and for people with aphasia. Our research is testing its potential to host aphasia therapies. OBJECTIVE: Two case studies evaluated if delivery of Script Therapy in EVA Park is feasible and acceptable to participants, whether it improved production of trained scripts and promoted generalisation to untrained scripts, narrative speech and functional communication. METHODS: Two participants with aphasia received 20 hours of Script Therapy in EVA Park. Feasibility was assessed through session attendance, completion of practice and ratings of treatment fidelity. Acceptability was explored via post therapy interviews. The impact of therapy on script production, narrative production and functional communication was assessed through measures administered twice before therapy, immediately post therapy and at 5 weeks follow up. RESULTS: Participants attended at least 85% of sessions. Compliance with practice was good for one, but not the other. Fidelity ratings indicated that over 80% of core treatment components were fully present in recorded sessions. Participants expressed positive views about the intervention. Therapy significantly improved the production of words in trained scripts, with maintenance for one participant. Neither participant improved in the production of untrained scripts or personal narratives. One improved on the assessment of functional communication, but the margin of change was small. CONCLUSIONS: The study adds to the evidence that EVA Park can host a range of interventions and that this platform is acceptable to its intended user group. © 2024 – IOS Press. All rights reserved.

关键词： Aphasia Script Therapy tele-rehabilitation virtual reality

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Can I Trust You? Exploring the Impact of Misleading AI Suggestions on User's Trust 3

Can I Trust You? Exploring the Impact of Misleading AI Sugge...

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3rd IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2024

作者： Pretolesi, Daniele Zechner, Olivia Schrom-Feiertag, Helmut Tscheligi, Manfred Center for Technology Experience Austrian Institute of Technology Vienna Austria University of Salzburg Department of Artificial Intelligence and Human Interfaces Salzburg Austria University of Salzburg Human-Computer Interaction Division Department of Artificial Intelligence and Human Interfaces Salzburg Austria

ISBN: (纸本)9798350378009

Extended Reality (XR) offers immersive and interactive training experiences across fields like policing and medicine. However, tailoring training difficulty to individual needs remains a challenge. AI-driven training assistants could be a promising solution to personalize XR training by proposing adjustments based on user data. Yet, the effectiveness of such suggestions and the user's ability to discern accurate recommendations are not fully understood. This study investigates the effectiveness of suggestions within an AI-driven interface for proposing scenario changes in an XR training environment. We employ a 2× 2 experimental design, manipulating both the presence of stress during training (stressful versus neutral scenarios) and the biosignal information provided by the trainees during training (congruent versus incongruent). This work aims to determine whether trainers can reject misleading suggestions made by the system and how this affects their trust in the system. A sample of N=17 medical first responder trainers was recruited from three European countries. Our results show that the majority of the participants did not reject incorrect suggestions and the expected decrease in trust and perceived transparency towards the misleading interface was not observed. These results underscore the complex interplay between user perception, trust, and technological interface design, highlighting avenues for further research and refinement in the development of AI-driven suggestion systems. © 2024 IEEE.

关键词： Decision making

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Enhancing Impulse Response-Based SSVEP Decoding Method by Incorporating Temporal Local Correlation 7

Enhancing Impulse Response-Based SSVEP Decoding Method by In...

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7th International Conference on Biological Information and Biomedical Engineering, BIBE 2024

作者： Huang, Jiayang Wang, Jiaxi Yang, Pengfei Xiong, Bang Zhang, Zhi-Qiang School of Computer Science and Technology The Key Laboratory of Smart Human-Computer Interaction Wearable Technology of Shaanxi Province Xidian University China School of Electronic and Electrical Engineering Institute of Robotics Autonomous Systems and Sensing University of Leeds United Kingdom

ISBN: (纸本)9783800762910

Various training-based spatial filtering methods have been proposed to classify steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). However, many overlook the temporal instability of SSVEPs, leading to decreased classification performance. Therefore, we propose an SSVEP decoding method that calculates template signals and spatial filters using the subject's impulse responses and periodic impulses, incorporating the temporally local correlation coefficient in the SSVEP decoding process. Then, we employ a combined correlation coefficient for SSVEP classification. The proposed method addresses the temporal instability of SSVEPs, with template signals that exhibit strong individual characteristics. Utilizing a public benchmark dataset, we achieved a classification accuracy of 87.43% and an ITR of 256.1 bits/min at 1s time window, demonstrating the performance of this method. Compared to other classical spatial filtering methods, the proposed method demonstrates superior classification performance, which can enhance the practical usability of SSVEP-BCI systems. © VDE VERLAG GMBH.

关键词： Wiener filtering

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Evaluating the Feasibility of Predicting Information Relevance During Sensemaking with Eye Gaze Data

Evaluating the Feasibility of Predicting Information Relevan...

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International Symposium on Mixed and Augmented Reality (ISMAR)

作者： Ibrahim A. Tahmid Lee Lisle Kylie Davidson Kirsten Whitley Chris North Doug A. Bowman Department of Computer Science Center for Human-Computer Interaction Virginia Tech US Department of Defense

Eye gaze patterns vary based on reading purpose and complexity, and can provide insights into a reader’s perception of the content. We hypothesize that during a complex sensemaking task with many text-based documents, we will be able to use eye-tracking data to predict the importance of documents and words, which could be the basis for intelligent suggestions made by the system to an analyst. We introduce a novel eye-gaze metric called ‘GazeScore’ that predicts an analyst’s perception of the relevance of each document and word when they perform a sensemaking task. We conducted a user study to assess the effectiveness of this metric and found strong evidence that documents and words with high GazeScores are perceived as more relevant, while those with low GazeScores were considered less relevant. We explore potential real-time applications of this metric to facilitate immersive sensemaking tasks by offering relevant suggestions.

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Evaluation Criteria and Assessments for Effective User Experiences, Web Accessibility, and interaction for Visually Impaired Users 8th

Evaluation Criteria and Assessments for Effective User Exper...

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8th International Conference on Computational science and Technology, ICCST 2021

作者： Jantan, Azrul Hazri Yazid, Mariam Azwa Husain, Wan Nur Liyana Wan Human-Computer Interaction Research Lab Faculty of Computer Science and Information Technology Universiti Putra Malaysia Selangor43400 Malaysia

ISBN: (纸本)9789811685149

To date, the advancement in web and internet technologies have changed the way on how people interact with computer software/application. Information is much easier to accessed, processes can be performed faster, and interaction can be controlled fully by users. However, the complexity of the web accessibility, application interaction, and components of user experience were also increasing. Thus, to fulfil the web usability requirements and its comprehensiveness, web experts’ verification and validation are required to support the overall design modelling including its internal strength of the domain. This paper will elaborate and discuss the main criteria included in the verification and validation processes towards visually impaired users. We built our evaluation (usability) criteria based on previous research and represent them as questionnaire for qualitative assessment of a web application. The main objective is to propose the best evaluation criteria for a web evaluation and assessment usability to support the design modelling and interaction effectiveness among visually impaired users. It will include better technology understanding on both design and evaluation criteria of the whole domain structure including their interactivity that reflect the web accessibility, application interaction, and user experience components. The proposed evaluation criteria will be focusing on three section, called interaction characteristics, user experience components, and the outcome of the final judgement. We envisage effective and comprehensive evaluation criteria that could be integrated and provide positive feedback from the experts’ review and their findings. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Usability engineering

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