Papers by HELOISA CANDELLO
This workshop aims to bring together the Intelligent User Interface (IUI) and Conversational User... more This workshop aims to bring together the Intelligent User Interface (IUI) and Conversational User Interface (CUI) communities to understand the theoretical and methodological challenges in designing, deploying and evaluating CUIs. CUIs have continued to prosper with the increased use and technological developments in both text-based chatbots and speech-based systems. However, challenges remain in creating established theoretical and methodological approaches for CUIs, and how these can be used with recent engineering advances. These include assessing the impact of interface design on user behaviours and perceptions, developing design guidelines, understanding the role of personalisation and issues of ethics and privacy. Our half-day multidisciplinary workshop brings together researchers and practitioners from the IUI and CUI communities in academia and industry. We aim to (1) identify and map out key focus areas and research challenges to address these critical theoretical and methodological gaps and (2) foster strong relationships between disciplines within and related to Artificial Intelligence (AI) and Human-Computer Interaction (HCI). CCS CONCEPTS • Human-centered computing → Natural language interfaces.
A influência das tecnologias de informação e comunicação (TICs) no consumo do patrimônio cultural... more A influência das tecnologias de informação e comunicação (TICs) no consumo do patrimônio cultural e turístico por visitantes e residentes: websites e mobile blogs The influence of communication and information technologies (ICTs) in the consumption of cultural heritage and tourism by locals and visitors: websites, mobile apps and blogs
arXiv (Cornell University), Dec 16, 2020
In this paper we explore the use of meta-knowledge embedded in intent identifiers to improve inte... more In this paper we explore the use of meta-knowledge embedded in intent identifiers to improve intent recognition in conversational systems. As evidenced by the analysis of thousands of real-world chatbots and in interviews with professional chatbot curators, developers and domain experts tend to organize the set of chatbot intents by identifying them using proto-taxonomies, i.e., meta-knowledge connecting highlevel, symbolic concepts shared across different intents. By using neuro-symbolic algorithms able to incorporate such proto-taxonomies to expand intent representation, we show that such mined meta-knowledge can improve accuracy in intent recognition. In a dataset with intents and example utterances from hundreds of professional chatbots, we saw improvements of more than 10% in the equal error rate (EER) in almost a third of the chatbots when we apply those algorithms in comparison to a baseline of the same algorithms without the meta-knowledge. The meta-knowledge proved to be even more relevant in detecting out-of-scope utterances, decreasing the false acceptance rate (FAR) in more than 20% in about half of the chatbots. The experiments demonstrate that such symbolic meta-knowledge structures can be effectively mined and used by neuro-symbolic algorithms, apparently by incorporating into the learning process higher-level structures of the problem being solved. Based on these results, we also discuss how the use of mined meta-knowledge can be an answer for the challenge of knowledge acquisition in neuro-symbolic algorithms.
Anais Estendidos do XVII Simpósio Brasileiro de Fatores Humanos em Sistemas Computacionais (IHC), 2018
It has been 20 years since we have organized the first edition of IHC in 1998. So much has change... more It has been 20 years since we have organized the first edition of IHC in 1998. So much has changed regarding not only technology, but also how it is inserted in our society. During this time, technology and people´s interaction with it have become ubiquitous and part of our everyday lives mediating many (if not most) of our ordinary activities from communicating with other people, to work, entertainment and Government services. As professionals who generate technology, this change has also raised our awareness, concern and attitude towards the social responsibility and ethics involved with developing technology and its use by society. In this panel, we discuss how social responsibility and ethics have changed and what is our role, as professionals, going forward.
Proceedings of the 4th Conference on Conversational User Interfaces
Proceedings of the 5th International Conference on Conversational User Interfaces
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
Conversational user interfaces (CUIs) are often advertised to be accessible and easy-to-use, yet ... more Conversational user interfaces (CUIs) are often advertised to be accessible and easy-to-use, yet it is still not known how to make them fully inclusive and acceptable for all of their potential users, especially for those who may stand to benefit the most from CUIs. This workshop is the latest installment of a workshop series on conversational user interfaces [15, 20] and will bring together scholars, practitioners, and researchers to discuss the state of CUI design for marginalized and vulnerable populations, how inclusive design is considered (or neglected) in current CUI design practice, and how to move forward when it comes to designing CUIs for inclusion and diversity. Our aim is to spark vigorous and interesting discussions from multiple perspectives on issues related to inclusive design, marginalization, and the benefits and harms of CUIs. We aim for this workshop to serve as a platform on which to build a community and determine future directions to tackle important topics of inclusivity and equity in CUI design.
CHI Conference on Human Factors in Computing Systems Extended Abstracts
The digitization of financial transactions in both Global North and Global South has led to consi... more The digitization of financial transactions in both Global North and Global South has led to considerable shifts in how money is used, understood, and processed by users, banks, and fintechs. This shift from physical cash to digital media, accelerated by the COVID-19 push for digital transactions, has impacted how users perceive and use digital money and opened avenues for more data collection. This diverse panel proposes a discussion to understand the set of opportunities and challenges around the design of digital financial services (DFS) and data-driven decision-making in DFS. We will create a live working document starting before the panel to document the discussion, which develops during and after the panel. This live document will enable community to engage with a broader audience of researchers and industry, outlining processes, methods, * Both authors contributed equally to this research.
Design, User Experience, and Usability: Theory, Methodology, and Management, 2017
Several methods are available to converge ideas, choosing concepts more suitable for the problem ... more Several methods are available to converge ideas, choosing concepts more suitable for the problem to be solved. Relations between concepts and combination of ideas are limited to time constraints and designers' cognition during decision-making meetings, let some possible choices not available for discussion. Understanding those constraints, is paramount to propose approaches that take advantage of current technology advances. Nowadays, computers can storage high amount of data and computational algorithms may infer combinations not considered before by humans. Taking this perspective, this text investigates the computational generative design as a tool to evaluate patterns emerged in the ideation phase of a design team creation. Designers can benefit of our approach in the ideation phases of the design process to have insights, unusual and disrupted ideas facilitated by technology.
Journal of Interactive Systems, 2019
This special issue of JIS presents the extended versions of the best full papers of the Brazilian... more This special issue of JIS presents the extended versions of the best full papers of the Brazilian Symposium on Human Factors in Computing Systems (IHC 2018). For this issue, the seven papers selected as best papers from the 42 presented at the conference were invited to submit an extended version of their work. It is worth noting that the extended versions contain original content or new contributions when compared to their original IHC 2018 version, and they were submitted to a new and independent review process. IHC 2018 highlighted the influence and importance of cultural issues in the design of computer systems, as well as the need to be creative and innovative in designing new forms of interaction, design, and system evaluations with its theme “Interaction, Culture, and Creativity”. The papers presented in this issue tap into IHC 2018’s theme and represent the broad range of topics being investigated in HCI in Brazil, as well as bring original and relevant contributions to the ...
Proceedings of the ACM on Human-Computer Interaction
Conversational interfaces require two types of curation: data curation by data science workers an... more Conversational interfaces require two types of curation: data curation by data science workers and content curation by domain experts. Recent years have seen the possibilities for content curators to instruct conversational machines in the customer service domain (i.e., Machine Teaching). The activities of curating specialized data are time-consuming. These activities have a learning curve for the domain expert, and they rely on collaborators beyond the domain experts, including product owners, technology expert curators, management, marketing, and communication employees. However, recent research has looked at making this task easier for domain experts with a lack of knowledge in the Machine Learning system, and few papers have investigated the work practices and collaborations involved in this role. This paper aims to fill this gap, presenting and unveiling practices extracted from eleven semi-structured interviews and four design workshops with experts in Banking, Technical suppo...
Human–Computer Interaction
CHI Conference on Human Factors in Computing Systems Extended Abstracts
Building on the prior workshops on conversational user interfaces (CUIs) [2, 40], we tackle the t... more Building on the prior workshops on conversational user interfaces (CUIs) [2, 40], we tackle the topic of ethics of CUIs at CHI 2022. Though commercial CUI developments continue to rapidly advance, our scholarly dialogue on ethics of CUIs is underwhelming. The CUI community has implicitly been concerned with ethics, yet making it central to the growing body of work thus far has not been adequately done. Since ethics is a far-reaching topic, perspectives from philosophy, design, and engineering domains are integral to our CUI research community. For instance, philosophical traditions, e.g., deontology or virtue ethics, can guide ethical concepts that are relevant for CUIs, e.g., autonomy or trust. The practice of design through approaches like value sensitive design can inform how CUIs should be developed. Ethics comes into play with technical contributions, e.g., privacy-preserving data sharing between conversational systems. By considering such multidisciplinary angles, we come to a special topic of interest that ties together philosophy, design, and engineering: conversational disclosure, e.g., sharing personal information, transparency, e.g., as how to transparently convey relevant information in a conversational manner, and vulnerability of diverse user groups that should be taken into consideration. CCS CONCEPTS • Human-centered computing → Human computer interaction (HCI); Haptic devices; User studies.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
In this paper we explore the improvement of intent recognition in conversational systems by the u... more In this paper we explore the improvement of intent recognition in conversational systems by the use of meta-knowledge embedded in intent identifiers. Developers often include such knowledge, structure as taxonomies, in the documentation of chatbots. By using neurosymbolic algorithms to incorporate those taxonomies into embeddings of the output space, we were able to improve accuracy in intent recognition. In datasets with intents and example utterances from 200 professional chatbots, we saw decreases in the equal error rate (EER) in more than 40% of the chatbots in comparison to the baseline of the same algorithm without the meta-knowledge. The metaknowledge proved also to be effective in detecting out-of-scope utterances, improving the false acceptance rate (FAR) in two thirds of the chatbots, with decreases of 0.05 or more in FAR in almost 40% of the chatbots. When considering only the well-developed workspaces with a high level use of taxonomies, FAR decreased more than 0.05 in 77% of them, and more than 0.1 in 39% of the chatbots.
26th International Conference on Intelligent User Interfaces
This workshop aims to bring together the Intelligent User Interface (IUI) and Conversational User... more This workshop aims to bring together the Intelligent User Interface (IUI) and Conversational User Interface (CUI) communities to understand the theoretical and methodological challenges in designing, deploying and evaluating CUIs. CUIs have continued to prosper with the increased use and technological developments in both text-based chatbots and speech-based systems. However, challenges remain in creating established theoretical and methodological approaches for CUIs, and how these can be used with recent engineering advances. These include assessing the impact of interface design on user behaviours and perceptions, developing design guidelines, understanding the role of personalisation and issues of ethics and privacy. Our half-day multidisciplinary workshop brings together researchers and practitioners from the IUI and CUI communities in academia and industry. We aim to (1) identify and map out key focus areas and research challenges to address these critical theoretical and methodological gaps and (2) foster strong relationships between disciplines within and related to Artificial Intelligence (AI) and Human-Computer Interaction (HCI). CCS CONCEPTS • Human-centered computing → Natural language interfaces.
CHI Conference on Human Factors in Computing Systems Extended Abstracts, Apr 27, 2022
ArXiv, 2017
Multi-party Conversational Systems are systems with natural language interaction between one or m... more Multi-party Conversational Systems are systems with natural language interaction between one or more people or systems. From the moment that an utterance is sent to a group, to the moment that it is replied in the group by a member, several activities must be done by the system: utterance understanding, information search, reasoning, among others. In this paper we present the challenges of designing and building multi-party conversational systems, the state of the art, our proposed hybrid architecture using both rules and machine learning and some insights after implementing and evaluating one on the finance domain.
Obra digital: e-monografies en l'àmbit de la comunicació digital, 2012
This study aims to identify visitor and resident's characteristics of cultural spaces. As we... more This study aims to identify visitor and resident's characteristics of cultural spaces. As well as, it looks for opinions and receptivity of information and communication technologies (ICTs) use. For this purpose, it was reviewed outstanding scientific papers published in tourism and mobility conferences and journals. As a result, it was found that tourists of cultural spaces are demanding, have high income and education and they are not always able to observe the reality of the place visited by the eyes of human/electronic guides and ...
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Papers by HELOISA CANDELLO