Digital Identities, Inequalities & Inclusive AI
Date: Tuesday 11 Nov 2025
Room: S/2.22 - Sandpit/Katherine Johnson Suite
| Time | Presentation | Abstract | Authors | Contribution type |
|---|---|---|---|---|
| 14:00-14:10 | Listen When Citizen Sensors Speak: Free Text in Urban Problem Reporting Platforms | Citizen sensors provide valuable data about the state of municipal infrastructure. Many urban problem reporting platforms have been created that support citizen sensors in this task. Reports typically have four components, location, free text description, category, and image upload. In this paper, we investigate the information contained in the free text descriptions. In a qualitative content analysis of 360 problem reports of a major German city, we find that almost all users of the reporting system provide useful additional data that can help process and act on their reports, even though key information about problem and location has already been provided through a category assignment and a map interface. We discuss how these findings might inform the design of AI tools that improve problem reporting services for citizens and administrators. | Dennis Lindt, Mona Bartling, Katharina Meiners, Roland-Ronja Wehking and Maria Klara Wolters | Late Breaking Work |
| 14:10-14:20 | Use of and Concerns about Online Authentication Technologies among British University Staff and Students | Having all kinds of personal information, from the mundane to the sensitive, online has now become a normal part of everyday life, with most people have many online accounts. Staff and students at universities have much important information online which needs to be secure. The technologies used for authentication of online accounts as now grown from passwords to a range of different technologies including two-factor authentication (2FA), single sign on (SSO), biometric authentication (most often face or fingerprint recognition), Federated Identity Management (FIM), and Fast Identity Online (FIDO). Research has shown that users have usability issues and concerns about all these technologies. An online survey was undertaken to investigate current levels of use and concerns about seven authentication technologies among British university staff and students. A wide range of technologies was used with passwords still being the most frequently used. Participants’ ratings of ease of use, trust, perception of security and confidence in using the technologies was generally high, and ratings of concerns were low. There were interesting differences between the staff and student samples. | Ibtihal Alotaibi, Helen Petrie and Siamak Shahandashti | Late Breaking Work |
| 14:20-14:30 | Unraveling Connected Lives: Exploring Individual Perceptions of Smart Homes | In our data-driven world, smart devices are seamlessly integrated into our daily lives, offering convenient and user-friendly interactions based on user data. Human-Data Interaction (HDI) provides holistic frameworks to explore how individuals interact with their digital data. However, these are limited in revealing the entanglement of smart technology in everyday home experiences that inherently include multiple individuals. To this end, we conducted an exploratory survey (n=49) on smart home devices that revealed the synergies between smart technology, data, and individuals within different households. The results show people view smart technology in complex ways, recognising both pragmatic and (an)hedonic qualities, which in turn might influence their adoption of smart devices, as well as how they handle personal and shared data. We call for future work that considers data practices beyond the individual to advocate for a holistic social perspective on human-data interactions in the smart home. | Argenis Ramirez Gomez, Kim Sauvé, Carolina Fuentes and Nervo Verdezoto | Late Breaking Work |
| 14:30-14:40 | Digital Colourism? Understanding Emoji Skin Tone Preferences Among Indian-Origin Users | Emoji skin tone modifiers, designed to reflect human skin tone diversity, can signal racial and ethnic identities, shaping user preferences. However, much of this knowledge is derived from Western cultural contexts. Given that cultural norms shape user preferences and identity associations with emoji skin tones, understanding perspectives from users globally is essential. To this end, we conducted a survey to examine skin tone modifier preferences among Indian-origin users. Our findings suggest that women, regardless of self-perceived skin tone, are more likely to use emoji skin tones matching their own and value the range of options more than men. Our discussion raises caution about designing for neutrality in computing and offers directions for future research. | Ramprabu Thangaraj, Jinan Hussain, Tongxin Li, Sayan Sarcar and Alisha Pradhan | Late Breaking Work |