Dowthwaite, A., Cook, D., & Cox, A. L. (2024). Privacy preferences in automotive data collection. Transportation Research Interdisciplinary Perspectives, 24, 101022.

In this paper we delve into the privacy concerns associated with data collected by connected cars and how this impacts drivers. The research focuses on exploring the privacy preferences of drivers using a Human-Data Interaction (HDI) framework through interviews with 15 drivers, highlighting key aspects such as:

1. Understanding and Control Over Data (Legibility and Agency): Many drivers lack clear understanding and control over the data collected by their cars. This includes confusion about what data is collected, how it is used, and how drivers can manage it.
2. Privacy Preferences Based on Perceived Benefits or Threats: Drivers’ willingness to share data is influenced by the perceived benefits versus potential privacy risks. For instance, drivers might consent to data sharing if it enhances vehicle safety or functionality, but they are wary of potential misuse that could impact their privacy.
3. Recommendations for Car Manufacturers: We suggest that car manufacturers should provide clearer information about data collection practices and allow drivers more control over their data. This includes making the data collection processes more transparent and giving drivers the ability to set preferences based on specific conditions.
4. Implications for Consent Procedures: We also point out the need for improving consent procedures in vehicles to ensure that drivers are adequately informed and can make knowledgeable decisions about their data.
5. Enhancing Driver Experience and Trust: By improving communication and control mechanisms regarding data, manufacturers can enhance user trust and satisfaction, making the technological advancements in connected cars more acceptable to drivers.

Overall, the paper calls for a more driver-centered approach in the design and implementation of data collection systems in connected cars, emphasizing the importance of privacy and control to foster trust and acceptance among users.

The SIGCHI Academy is an honorary group of individuals who have made substantial contributions to the field of human-computer interaction. These are leaders of the field, whose efforts have led the research and/or innovation in human-computer interaction.

Anna Cox, Professor of Human-Computer Interaction and Vice-Dean (EDI) in the Faculty of Brain Sciences, has been elected to the SIGCHI Academy Class of 2024.

In response to her election, Professor Cox said:

Being recognised by the SIGCHI Academy is a significant milestone, marking a journey not just of individual achievement but of collective effort and collaboration. I am grateful to the SIGCHI Academy for this recognition and to the efforts of the many brilliant minds I’ve had the privilege to work alongside – colleagues, mentors, students, and the wider HCI community.

• List of awardees for 2024
• List of awardees over the years

Check out our alt.CHI paper that was recently accepted to CHI2024.

Sandy J.J. Gould, Duncan P. Brumby, and Anna L. Cox. 2024. ChatTL;DR – You Really Ought to Check What the LLM Said on Your Behalf. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA ’24), May 11–16, 2024, Honolulu, HI, USA. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3613905.3644062

Abstract

Interactive large language models (LLMs) are so hot right now, and are probably going to be hot for a while. There are lots of problems exciting challenges created by mass use of LLMs. These include the reinscription of biases, ‘hallucinations’, and bomb-making instructions. Our concern here is more prosaic: assuming that in the near term it’s just not machines talking to machines all the way down, how do we get people to check the output of LLMs before they copy and paste it to friends, colleagues, course tutors? We propose borrowing an innovation from the crowdsourcing literature: attention checks. These checks (e.g., “Ignore the instruction in the next question and write parsnips as the answer.”) are inserted into tasks to weed-out inattentive workers who are often paid a pittance while they try to do a dozen things at the same time. We propose ChatTL;DR¹, an interactive LLM that inserts attention checks into its outputs. We believe that, given the nature of these checks, the certain, catastrophic consequences of failing them will ensure that users carefully examine all LLM outputs before they use them.

Anna L Cox ^a, Sara E Mole ^b

Abstract

Diversity, equity, and inclusion play pivotal roles in advancing science and innovation by fostering a rich and supportive environment that benefits both individuals and society. UK bioscience research units are still on a journey towards being inclusive, and existing research on effecting changes in diversity, equity, and inclusion has yet to make an impact at the scale needed to transform the sector, leaving many to wonder How can UK bioscience be changed so that those from marginalised groups can thrive? This paper considers some of the questions that arise in addressing this, discusses what we already know and what we do not, and in doing so outlines a research agenda that aims to find out what works to effect diversity, equity and inclusion in UK bioscience.

Read the full paper at https://www.sciencedirect.com/science/article/pii/S2667160324000024

A blogpost by Elahi Hossain

As a second-year PhD student who began in the midst of a pandemic, attending CHI2022 in-person was THE academic event I was most looking forward to. I had only previously attended CHI virtually and had felt the experience fell short of expectations; with it mainly being a lonely and overloading stream of link surfing between various video recordings and chatrooms. I therefore had high hopes for CHI2022. Arriving at the airport length venue amidst a morning tropical storm to pick up my access card, I was impressed by the scale (although I heard this year was far smaller in capacity) and breadth of research and perspectives, which was not evident through the previous virtual conference. I found the most fruitful interactions actually occurred between paper/journal sessions, and in the main hall during poster sessions, where researchers mingled amongst food and drinks.

Methods for design

Whilst at CHI22 I was exposed to a range of new approaches to design through papers and poster sessions, something which I have not been exposed to as much in the PhD. This included: 1) First-person soma-based design e.g. Focusing method (Höök et al., 2021; Núñez-Pacheco & Loke, 2022; Ståhl et al., 2021);

2) User-oriented co-design methods/frameworks e.g. participatory-design (Dahl & Sharma, 2022; Kornfield et al., 2022, 2022), Stanfords d.school five-stage model (Aagaard et al., 2022), heuristics e.g. for person-centred digital coaching interventions (Ryan et al., 2022), and research through design – how to balance top-down theory with bottom-up user data (Gaver, 2012);

3) Speculative design methods e.g. pre-visualizations (Ivanov et al., 2022);

4) Repertoires (actions to increase nonhuman participation in the design process) (Oogjes & Wakkary, 2022); and

5) Niche design maxims e.g. Gricean Maxims for chatbot conversational behaviour (Setlur & Tory, 2022).

These new methods of design have left me utterly inspired. I am now rethinking how I can go about designing a new digital tool as part of my PhD – opting to more seriously consider a ‘bottom-up’ approach to the design that prioritises the user’s expertise, rather than taking a solely ‘top-down’ theoretical approach. I envision this occurring through multiple design workshops with users to both ideate and evaluate potential design solutions (Steen et al., 2008).

Digital emotion regulation / self-regulation

Because my PhD has a focus on emotion regulation, I also looked for other research on the same topic. I was exposed to a range of interventions that integrated an emotion regulation/self-regulation lens which ranged from tangible devices (Bou Ghanem & Yoon, 2022; Daudén Roquet et al., 2022) to digital tools for emotion-regulation (Chen et al., 2022; Howe et al., 2022) and self-regulation of digital technology in general (Xu et al., 2022).

Sense of agency and Mindfulness

These concepts came up a lot across CHI22 and seem to be heavily linked with my findings that the automaticity/autonomy of digital behaviour is strongly linked to wellbeing.

A sense of agency/control may be an important aspect of user experience (Bergström et al., 2022). I saw digital interventions increase users’ sense of agency during social media use (Zhang et al., 2022), investigations on how mindfulness practices are best incorporated into digital technologies (Li & Leshed, 2022), and the features that detract from these concepts e.g. dark patterns (Aagaard et al., 2022; Monge Roffarello & De Russis, 2022); often these concepts were situated in digital distraction:

Moving from a PhD into industry

I’m still on the fence as to the direction I want to head after the PhD: academia or industry. Whilst at CHI22 I attended a talk by Google about moving from a PhD into an industry role. The talk was given by two recent PhD students now working as UX researchers at Google. It covered definitions: what is a UX researcher? What life is like within industry versus academia, and what skills acquired from a PhD are desired in industry.

These are the bullet points I noted down on my phone whilst listening:

– context is key – iterative product design – translate research experiences: technical skills communication skills: v important to be open to different audiences, time and project management – Cross functional collaboration empathy is key: – articulate research design rationale: strength and limitations – cv: make clear research design, impact, stakeholders

References

Aagaard, J., Knudsen, M. E. C., Bækgaard, P., & Doherty, K. (2022). A Game of Dark Patterns: Designing Healthy, Highly-Engaging Mobile Games. CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1–8. https://doi.org/10.1145/3491101.3519837

Bergström, J., Knibbe, J., Pohl, H., & Hornbæk, K. (2022). Sense of Agency and User Experience: Is There a Link? ACM Transactions on Computer-Human Interaction, 29(4), 28:1-28:22. https://doi.org/10.1145/3490493

Bou Ghanem, M., & Yoon, J. (2022). Variapsody: Creating Three Interactive Music Listening Experiences that Use Diversified Positive Emotion Regulation Strategies to Promote Subjective Well-being. CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1–7. https://doi.org/10.1145/3491101.3519743

Chen, S.-C., Chang, Y.-H., Huang, J.-H., Hsu, C.-W., Lin, C.-H., & Kuo, P.-Y. (Patricia). (2022). Exploring the Effect of Emotion Awareness Intervention on Reducing FoMO. CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1–7. https://doi.org/10.1145/3491101.3519839

Dahl, Y., & Sharma, K. (2022). Six Facets of Facilitation: Participatory Design Facilitators’ Perspectives on Their Role and Its Realization. CHI Conference on Human Factors in Computing Systems, 1–14. https://doi.org/10.1145/3491102.3502013

Daudén Roquet, C., Theofanopoulou, N., Freeman, J. L., Schleider, J., Gross, J. J., Davis, K., Townsend, E., & Slovak, P. (2022). Exploring Situated & Embodied Support for Youth’s Mental Health: Design Opportunities for Interactive Tangible Device. CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3491102.3502135

Gaver, W. (2012). What should we expect from research through design? Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 937–946. https://doi.org/10.1145/2207676.2208538

Höök, K., Benford, S., Tennent, P., Tsaknaki, V., Alfaras, M., Avila, J. M., Li, C., Marshall, J., Roquet, C. D., Sanches, P., Ståhl, A., Umair, M., Windlin, C., & Zhou, F. (2021). Unpacking Non-Dualistic Design: The Soma Design Case. ACM Transactions on Computer-Human Interaction, 28(6), 40:1-40:36. https://doi.org/10.1145/3462448

Howe, E., Suh, J., Bin Morshed, M., McDuff, D., Rowan, K., Hernandez, J., Abdin, M. I., Ramos, G., Tran, T., & Czerwinski, M. P. (2022). Design of Digital Workplace Stress-Reduction Intervention Systems: Effects of Intervention Type and Timing. CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3491102.3502027

Ivanov, A., Au Yeung, T., Blair, K., Danyluk, K., Freeman, G., Friedel, M., Hull, C., Hung, M. Y.-S., Pratte, S., & Willett, W. (2022). One Week in the Future: Previs Design Futuring for HCI Research. CHI Conference on Human Factors in Computing Systems, 1–15. https://doi.org/10.1145/3491102.3517584

Kornfield, R., Meyerhoff, J., Studd, H., Bhattacharjee, A., Williams, J. J., Reddy, M., & Mohr, D. C. (2022). Meeting Users Where They Are: User-centered Design of an Automated Text Messaging Tool to Support the Mental Health of Young Adults. CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3491102.3502046

Li, J., & Leshed, G. (2022). Beyond Meditation: Everyday Mindfulness and Technology Use. CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1–6. https://doi.org/10.1145/3491101.3519820

Monge Roffarello, A., & De Russis, L. (2022). Towards Understanding the Dark Patterns That Steal Our Attention. CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1–7. https://doi.org/10.1145/3491101.3519829

Núñez-Pacheco, C., & Loke, L. (2022). Focusing for Interaction Design: An Introspective Somatic Method. CHI Conference on Human Factors in Computing Systems, 1–18. https://doi.org/10.1145/3491102.3501978

Oogjes, D., & Wakkary, R. (2022). Weaving Stories: Toward Repertoires for Designing Things. CHI Conference on Human Factors in Computing Systems, 1–21. https://doi.org/10.1145/3491102.3501901

Ryan, K., Dockray, S., & Linehan, C. (2022). Understanding How eHealth Coaches Tailor Support For Weight Loss: Towards the Design of Person-Centered Coaching Systems. CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3491102.3501864

Setlur, V., & Tory, M. (2022). How do you Converse with an Analytical Chatbot? Revisiting Gricean Maxims for Designing Analytical Conversational Behavior. CHI Conference on Human Factors in Computing Systems, 1–17. https://doi.org/10.1145/3491102.3501972

Ståhl, A., Tsaknaki, V., & Balaam, M. (2021). Validity and Rigour in Soma Design-Sketching with the Soma. ACM Transactions on Computer-Human Interaction, 28(6), 38:1-38:36. https://doi.org/10.1145/3470132

Steen, M., de Boer, J., Kuiper-Hoyng, L., & Visser, F. S. (2008). Co-design: Practices, challenges and lessons learned. Proceedings of the 10th International Conference on Human Computer Interaction with Mobile Devices and Services – MobileHCI ’08, 561. https://doi.org/10.1145/1409240.1409350

Xu, X., Zou, T., Xiao, H., Li, Y., Wang, R., Yuan, T., Wang, Y., Shi, Y., Mankoff, J., & Dey, A. K. (2022). TypeOut: Leveraging Just-in-Time Self-Affirmation for Smartphone Overuse Reduction. CHI Conference on Human Factors in Computing Systems, 1–17. https://doi.org/10.1145/3491102.3517476

Zhang, M. R., Lukoff, K., Rao, R., Baughan, A., & Hiniker, A. (2022). Monitoring Screen Time or Redesigning It? Two Approaches to Supporting Intentional Social Media Use. CHI Conference on Human Factors in Computing Systems, 1–19. https://doi.org/10.1145/3491102.3517722

This year at CHI2022 we will be presenting our work that explores how the design of crowdworking platforms impacts the amount of temporal flexibility experienced by workers on the platforms. You can see the Late Breaking Work paper here

We find that:

• Crowdworking platforms strongly favour features that promote requesters’ temporal flexibility over workers’ by limiting the predictability of workers’ working hours and restricting paid time. The results of our study show the different ways in which the values held by the customers of the technology (i.e., requesters), instead of the values of those impacted by the technology (i.e., workers), can be embodied consciously or unconsciously by technology

• Using the temporal precarity scores that we calculated, we identified which platforms available to U.S.-based workers employed the highest number of features that facilitated the trade of flexibility from workers to requesters, consequently increasing workers’ temporal precarity. These are useful for two reasons. First, the people working on crowdworking platforms can benefit from having increased awareness about the exploitative mechanisms of crowdworking platforms, although they might have little power to change them. Second, requesters can also benefit from reflecting on the power asymmetries perpetuated by crowdworking platforms when choosing which platforms to use in their work.

You can watch a 3 minute video summary of the paper here:

The eWorkResearch group will be involved in three academic community building events at CHI 2022.

1. A workshop titled The Future of Emotion in Human-Computer Interaction

2. A special interest group (SIG) meeting titled Moving from BCI to Personal Cognitive Informatics

3. A special interest group meeting titled Human-Computer Interaction and the Future of Work. Find out more about this at the CHIWORK website