References

[1] Amina Adadi and Mohammed Berrada. 2018. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI). IEEE Access 6

(2018), 52138–52160. https://doi.org/10.1109/ACCESS.2018.2870052

[2] E. Bassetti, A. Luciani, and E. Panizzi. 2021. ML Classification of Car Parking with Implicit Interaction on the Driver’s Smartphone. In Human-

Computer Interaction–INTERACT 2021: 18th IFIP TC 13 International Conference, Bari, Italy, August 30–September 3, 2021, Proceedings, Part III, Vol. 18. Springer International Publishing, 291–299. https://doi.org/10.1007/978-3-030-85613-7_21

[3] Géry Casiez and Nicolas Roussel. 2011. No more bricolage! methods and tools to characterize, replicate and compare pointing transfer functions. In

Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology (Santa Barbara, California, USA) (UIST ’11). Association

for Computing Machinery, New York, NY, USA, 603–614. https://doi.org/10.1145/2047196.2047276

[4] Federico Maria Cau, Hanna Hauptmann, Lucio Davide Spano, and Nava Tintarev. 2023. Effects of AI and Logic-Style Explanations on Users’ Decisions Under Different Levels of Uncertainty. ACM Trans. Interact. Intell. Syst. 13, 4, Article 22 (dec 2023), 42 pages. https://doi.org/10.1145/3588320

[5] Federico Maria Cau, Hanna Hauptmann, Lucio Davide Spano, and Nava Tintarev. 2023. Supporting High-Uncertainty Decisions through AI

and Logic-Style Explanations. In Proceedings of the 28th International Conference on Intelligent User Interfaces (Sydney, NSW, Australia) (IUI ’23).

Association for Computing Machinery, New York, NY, USA, 251–263. https://doi.org/10.1145/3581641.3584080

[6] Sven Coppers, Jan Van den Bergh, Kris Luyten, Karin Coninx, Iulianna van der Lek-Ciudin, Tom Vanallemeersch, and Vincent Vandeghinste. 2018.

Intellingo: An Intelligible Translation Environment. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ’18).

Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3173574.3174098

[7] Sven Coppers, Davy Vanacken, and Kris Luyten. 2022. FortClash: Predicting and Mediating Unintended Behavior in Home Automation. Proc. ACM

Hum.-Comput. Interact. 6, EICS (2022), 1–20. https://doi.org/10.1145/3532204

[8] Biplab Deka, Zifeng Huang, Chad Franzen, Joshua Hibschman, Daniel Afergan, Yang Li, Jeffrey Nichols, and Ranjitha Kumar. 2017. Rico: A Mobile App Dataset for Building Data-Driven Design Applications. In Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology (Québec City, QC, Canada) (UIST ’17). Association for Computing Machinery, New York, NY, USA, 845–854. https://doi.org/10.1145/3126594.3126651

[9] Alan Dix. 1992. Human issues in the use of pattern recognition techniques. Ellis Horwood, 429–451. https://alandix.com/academic/papers/neuro92/.

[10] Alan Dix. 2021. Designing User Interactions with AI: Servant, Master or Symbiosis. The AI Summit London. Full notes available at: https:

//www.alandix.com/academic/talks/AI-Summit-2021-UI-with-AI/.

[11] Alan Dix, Sven Mayer, Philippe Palanque, Emanuele Panizzi, and Lucio Davide Spano. 2023. Engineering Interactive Systems Embedding AI

Technologies. In Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems (, Swansea, United

Kingdom,) (EICS ’23 Companion). Association for Computing Machinery, New York, NY, USA, 90–92. https://doi.org/10.1145/3596454.3597195

[12] Peitong Duan, Jeremy Warner, and Bjoern Hartmann. 2023. Towards Generating UI Design Feedback with LLMs. In Adjunct Proceedings of the 36th

Annual ACM Symposium on User Interface Software and Technology (UIST ’23 Adjunct). Association for Computing Machinery, New York, NY, USA,

Article 70, 3 pages. https://doi.org/10.1145/3586182.3615810

[13] C. Fayollas, C. Martinie, P. Palanque, Y. Deleris, J.-C. Fabre, and D. Navarre. 2014. An Approach for Assessing the Impact of Dependability on Usability: Application to Interactive Cockpits. In 2014 Tenth European Dependable Computing Conference. 198–209. https://doi.org/10.1109/EDCC.2014.17

[14] Robert Garfinkel, Elena Fernandez, and Ram Gopal. 2003. Design of an interactive spell checker: optimizing the list of offered words. Decision

Support Systems 35, 3 (2003), 385–397. https://doi.org/10.1016/S0167-9236(02)00115-X

[15] Tovi Grossman and Ravin Balakrishnan. 2005. The bubble cursor: enhancing target acquisition by dynamic resizing of the cursor’s activation area.

In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Portland, Oregon, USA) (CHI ’05). Association for Computing

Machinery, New York, NY, USA, 281–290. https://doi.org/10.1145/1054972.1055012

[16] D. C. Hernandez-Bocanegra and J. Ziegler. 2023. Explaining Recommendations through Conversations: Dialog Model and the Effects of Interface

Type and Degree of Interactivity. ACM Transactions on Interactive Intelligent Systems 13, 2 (2023), 6:1–6:47. https://doi.org/10.1145/3579541

[17] Ranjitha Kumar, Arvind Satyanarayan, Cesar Torres, Maxine Lim, Salman Ahmad, Scott R. Klemmer, and Jerry O. Talton. 2013. Webzeitgeist:

design mining the web. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Paris, France) (CHI ’13). Association for

Computing Machinery, New York, NY, USA, 3083–3092. https://doi.org/10.1145/2470654.2466420

[18] Johannes Kunkel, Tim Donkers, Lisa Michael, Catalin-Mihai Barbu, and Jürgen Ziegler. 2019. Let Me Explain: Impact of Personal and Impersonal

Explanations on Trust in Recommender Systems. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19).

Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3290605.3300717

[19] Johannes Kunkel, Benedikt Loepp, and Jürgen Ziegler. 2017. A 3D Item Space Visualization for Presenting and Manipulating User Preferences

in Collaborative Filtering. In Proceedings of the 22nd International Conference on Intelligent User Interfaces (IUI ’17). Association for Computing

Machinery, New York, NY, USA, 3–15. https://doi.org/10.1145/3025171.3025189

[20] Hao Lü and Yang Li. 2013. Gesture studio: authoring multi-touch interactions through demonstration and declaration. In Proceedings of the SIGCHI

Conference on Human Factors in Computing Systems (Paris, France) (CHI ’13). Association for Computing Machinery, New York, NY, USA, 257–266.

Manuscript submitted to ACM  https://doi.org/10.1145/2470654.2470690

[21] Carl Oechsner, Sven Mayer, and Andreas Butz. 2022. Challenges and Opportunities of Cooperative Robots as Cooking Appliances. Proceedings of

the 2022 Workshop on Engaging with Automation. https://ceur-ws.org/Vol-3154/paper14.pdf.

[22] Philippe Palanque. 2020. Ten Objectives and Ten Rules for Designing Automations in Interaction Techniques, User Interfaces and Interactive

Systems. In Proceedings of the International Conference on Advanced Visual Interfaces (Salerno, Italy) (AVI ’20). Association for Computing Machinery,

New York, NY, USA, Article 2, 10 pages. https://doi.org/10.1145/3399715.3400872

[23] Joon Sung Park, Lindsay Popowski, Carrie Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein. 2022. Social Simulacra: Creating

Populated Prototypes for Social Computing Systems. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology

(Bend, OR, USA) (UIST ’22). Association for Computing Machinery, New York, NY, USA, Article 74, 18 pages. https://doi.org/10.1145/3526113.3545616

[24] Elisa Ramil Brick, Vanesa Caballero Alonso, Conor O’Brien, Sheron Tong, Emilie Tavernier, Amit Parekh, Angus Addlesee, and Oliver Lemon. 2021.

Am I Allergic to This? Assisting Sight Impaired People in the Kitchen. In Proceedings of the 2021 International Conference on Multimodal Interaction

(Montréal, QC, Canada) (ICMI ’21). Association for Computing Machinery, New York, NY, USA, 92–102. https://doi.org/10.1145/3462244.3481000

[25] Albrecht Schmidt, Passant Elagroudy, Fiona Draxler, Frauke Kreuter, and Robin Welsch. 2024. Simulating the Human in HCD with ChatGPT:

Redesigning Interaction Design with AI. Interactions 31, 1 (jan 2024), 24–31. https://doi.org/10.1145/3637436

[26] Jerry Talton, Lingfeng Yang, Ranjitha Kumar, Maxine Lim, Noah Goodman, and Radomír Měch. 2012. Learning design patterns with bayesian

grammar induction. In Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology (Cambridge, Massachusetts, USA)

(UIST ’12). Association for Computing Machinery, New York, NY, USA, 63–74. https://doi.org/10.1145/2380116.2380127

[27] Bram van Deurzen, Herman Bruyninckx, and Kris Luyten. 2022. Choreobot: A Reference Framework and Online Visual Dashboard for Supporting

the Design of Intelligible Robotic Systems. Proc. ACM Hum.-Comput. Interact. 6, EICS (2022), 1–24. https://doi.org/10.1145/3532201

[28] Chao Wang, Stephan Hasler, Daniel Tanneberg, Felix Ocker, Frank Joublin, Antonello Ceravola, Joerg Deigmoeller, and Michael Gienger. 2024.

Large Language Models for Multi-Modal Human-Robot Interaction. arXiv:2401.15174 [cs.RO]

[29] Jackie Junrui Yang, Yingtian Shi, Yuhan Zhang, Karina Li, Daniel Wan Rosli, Anisha Jain, Shuning Zhang, Tianshi Li, James A. Landay, and Monica S. Lam. 2024. ReactGenie: A Development Framework for Complex Multimodal Interactions Using Large Language Models. arXiv:2306.09649 [cs.HC]