Synapse: Interactive Guidance by Demonstration with Trial-and-Error Support for Older Adults to Use Smartphone Apps
Open accessAbstract
As smartphones are widely adopted, mobile applications (apps) are emerging to provide critical services such as food delivery and telemedicine. While bring convenience to everyday life, this trend may create barriers for older adults who tend to be less tech-savvy than young people. In-person or screen sharing support is helpful but limited by the help-givers' availability. Video tutorials can be useful but require users to switch contexts between watching the tutorial and performing the corresponding actions in the app, which is cumbersome to do on a mobile phone. Although interactive tutorials have been shown to be promising, none was designed for older adults. Furthermore, the trial-and-error approach has been shown to be beneficial for older adults, but they often lack support to use the approach. Inspired by both interactive tutorials and trial-and-error approach, we designed an app-independent mobile service, Synapse, for help-givers to create a multimodal interactive tutorial on a smartphone and for help-receivers (e.g., older adults) to receive interactive guidance with trial-and-error support when they work on the same task. We conducted a user study with 18 older adults who were 60 and over. Our quantitative and qualitative results show that Synapse provided better support than the traditional video approach and enabled participants to feel more confident and motivated. Lastly, we present further design considerations to better support older adults with trial-and-error on smartphones.
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There is a need for both tightly-coupled and loosely-coupled support for older users.
“Studies show that there is a need for both these types of support for older users: tightly- [25] and loosely-coupled [45,69] with the optimal interaction path.”
From "Where is history": Toward Designing a Voice Assistant to help Older Adults locate Interface Features quickly (2023) · cites this paper as [25]
The introduction (p. 3) describes support that lets older adults depart from a demonstrated interaction path, then helps them recover. The description of Basic and Trial-and-Error modes (p. 1) also shows both step-by-step guidance and freer exploration. This supports the need for different degrees of guidance, but our copy does not establish that the demonstrated path is optimal. (LLM, conf=0.82)
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Cites
How Older Adults Learn to Use Mobile Devices: Survey and Field Investigations
Leung, R., Tang, C., Haddad, S., Mcgrenere, J., Graf, P., & Ingriany, V. (2012) · ACM Transactions on Accessible Computing · doi:10.1145/2399193.2399195 · Cited by 162 · cited 5× · see citing works
“Leung et al. investigated that older adults value the exact steps to complete a task more than knowing how the software works [33].”
BackgroundInfluentialOlder Adults and Voice Interaction: A Pilot Study with Google Home
Kowalski, J., Jaskulska, A., Skorupska, K., Abramczuk, K., Biele, C., Kopeć, W., & Marasek, K. (2019) · Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290607.3312973 · Cited by 125 · see citing works
MixT: automatic generation of step-by-step mixed media tutorials
Chi, P.-Y., Ahn, S., Ren, A., Dontcheva, M., Li, W., & Hartmann, B. (2012) · Proceedings of the 25th annual ACM symposium on User interface software and technology · doi:10.1145/2380116.2380130 · Cited by 113 · see citing works
The harm in conflating aging with accessibility
Knowles, B., Hanson, V. L., Rogers, Y., Piper, A. M., Waycott, J., Davies, N., Ambe, A. H., Brewer, R. N., Chattopadhyay, D., Dee, M., et al. (2021) · Communications of the ACM · doi:10.1145/3431280 · Cited by 86 · see citing works
Exploring voice user interfaces for seniors
Schlögl, S., Chollet, G., Garschall, M., Tscheligi, M., & Legouverneur, G. (2013) · Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments · doi:10.1145/2504335.2504391 · Cited by 44 · see citing works
“Maps are hard for me”: Identifying How Older Adults Struggle with Mobile Maps
Yu, J. E., & Chattopadhyay, D. (2020) · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3373625.3416997 · Cited by 33 · see citing works
Flagged first, then by citations
Research works printed but not linked: 41
- [1][1] Amber Aftab, Ruipu Hu, and Sang Won Lee. 2020. Remo: Generating Interactive Tutorials by Demonstration for Online Tasks. In Adjunct Publication of the 33rd Annual ACM Symposium on User Interface Software and Technology (Virtual Event, USA) (UIST '20 Adjunct) . Association for Computing Machinery, New York, NY, USA, 87-89. https://doi.org/10.1145/3379350.3416194 - · DOI
- [3][3] Yvonne Barnard, Mike D Bradley, Frances Hodgson, and Ashley D Lloyd. 2013. Learning to use new technologies by older adults: Perceived difficulties, experimentation behaviour and usability. Computers in human behavior 29, 4 (2013), 1715-1724. -
- [4][4] Anabela Berenguer, Jorge Goncalves, Simo Hosio, Denzil Ferreira, Theodoros Anagnostopoulos, and Vassilis Kostakos. 2017. Are Smartphones Ubiquitous?: An in-depth survey of smartphone adoption by seniors. IEEE consumer electronics magazine 6, 1 (2017), 104-110. -
- [5][5] Robin Brewer, Raymundo Cornejo Garcia, Tedmond Schwaba, Darren Gergle, and Anne Marie Piper. 2016. Exploring Traditional Phones as an E-Mail Interface for Older Adults. ACM Trans. Access. Comput. 8, 2, Article 6 (jan 2016), 20 pages. https://doi.org/10.1145/2839303 - · DOI · Paper page
- [6][6] Timothy R. Broady, Amy Y. C. Chan, and Peter Caputi. 2010. Comparison of older and younger adults' attitudes towards and abilities with computers: Implications for training and learning. Br. J. Educ. Technol. 41 (2010), 473-485. -
- [7][7] Carmen Bruder, Hartmut Wandke, and Lucienne Blessing. 2006. Improving mobile phone instruction manuals for seniors. Gerontechnology 5, 1 (2006), 51-55. -
- [8][8] Cristina Chesta, Luca Corcella, Stefan Kroll, Marco Manca, Julia Nuss, Fabio Paternò, and Carmen Santoro. 2017. Enabling Personalisation of Remote Elderly Assistant Applications. In Proceedings of the 12th Biannual Conference on Italian SIGCHI Chapter (Cagliari, Italy) (CHItaly '17) . Association for Computing Machinery, New York, NY, USA, Article 6, 9 pages. https://doi.org/10.1145/3125571.3125587 - · DOI
- [10][10] Pei-Yu Chi, Bongshin Lee, and Steven Mark Drucker. 2014. DemoWiz: re-performing software demonstrations for a live presentation. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (2014). -
- [11][11] Aurora Constantin, Catherine Lai, Elaine Farrow, Beatrice Alex, Ruth Pel-Littel, Henk Herman Nap, and Johan Jeuring. 2019. "Why is the Doctor a Man": Reactions of Older Adults to a Virtual Training Doctor. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI EA '19) . Association for Computing Machinery, New York, NY, USA, 1-6. https://doi.org/10.1145/3290607.3312811 - · DOI
- [12][12] Andrée-Ann Cyr and Nicole D Anderson. 2012. Trial-and-error learning improves source memory among young and older adults. Psychology and aging 27, 2 (2012), 429. -
- [13][13] Andrée-Ann Cyr and Nicole D Anderson. 2015. Mistakes as stepping stones: Effects of errors on episodic memory among younger and older adults. Journal of experimental psychology: learning, memory, and cognition 41, 3 (2015), 841. -
- [15][15] M. Docampo Rama, H de Ridder, and H. Bouma. 2001. Technology generation and age in using layered user interfaces. Gerontology: international journal of experimental, clinical, behavioral, regenerative and technical gerontology 1, 1 (2001), 25-40. -
- [16][16] Katharina V. Echt, Roger W. Morrell, and Denise C. Park. 1998. EFFECTS OF AGE AND TRAINING FORMATS ON BASIC COMPUTER SKILL ACQUISITION IN OLDER ADULTS. Educational Gerontology 24, 1 (1998), 3-25. https://doi.org/10.1080/0360127980240101 - · DOI
- [17][17] Mingming Fan and Khai N. Truong. 2018. Guidelines for Creating Senior-Friendly Product Instructions. ACM Trans. Access. Comput. 11, 2, Article 9 (jun 2018), 35 pages. https://doi.org/10.1145/3209882 - · DOI
- [18][18] Mingming Fan and Khai N Truong. 2018. Guidelines for Creating Senior-Friendly Product Instructions. ACM Transactions on Accessible Computing (TACCESS) 11, 2 (2018), 1-35. -
- [19][19] Jennifer Fernquist, Tovi Grossman, and George Fitzmaurice. 2011. Sketch-Sketch Revolution: An Engaging Tutorial System for Guided Sketching and Application Learning. 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, 373-382. https://doi.org/10.1145/ 2047196.2047245 -
- [20][20] Rachel L. Franz, Jacob O. Wobbrock, Yi Cheng, and Leah Findlater. 2019. Perception and Adoption of Mobile Accessibility Features by Older Adults Experiencing Ability Changes. In The 21st International ACM SIGACCESS Conference on Computers and Accessibility (Pittsburgh, PA, USA) (ASSETS '19) . Association for Computing Machinery, New York, NY, USA, 267-278. https://doi.org/10.1145/3308561.3353780 - · DOI
- [22][22] Peter Gregor, Alan Newell, and Mary Zajicek. 2002. Designing for dynamic diversity: Interfaces for older people. 151-156. https: //doi.org/10.1145/638249.638277 - · DOI
- [23][23] Adineh Hosseinpanah, Nicole C. Krämer, and Carolin Straßmann. 2018. Empathy for Everyone? The Effect of Age When Evaluating a Virtual Agent. In Proceedings of the 6th International Conference on Human-Agent Interaction (Southampton, United Kingdom) (HAI '18) . Association for Computing Machinery, New York, NY, USA, 184-190. https://doi.org/10.1145/3284432.3284442 - · DOI
- [25][25] Tatsuya Ishihara, Masatomo Kobayashi, Hironobu Takagi, and Chieko Asakawa. 2013. How Unfamiliar Words in Smartphone Manuals Affect Senior Citizens. In Universal Access in Human-Computer Interaction. Applications and Services for Quality of Life , Constantine Stephanidis and Margherita Antona (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 636-642. -
- [26][26] Zhao Jin, Tom Plocher, and Liana Kiff. 2007. Touch Screen User Interfaces for Older Adults: Button Size and Spacing. Lecture Notes in Computer Science 4554, 933-941. https://doi.org/10.1007/978-3-540-73279-2\_104 Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., Vol. 6, No. 3, Article 121. Publication date: September 2022. - · DOI
- [27][27] Melinda S Kavanaugh, Chi C Cho, and Megan Howard. 2019. 'I just learned by observation and trial and error': Exploration of young caregiver training and knowledge in families living with rare neurological disorders. In Child & Youth Care Forum , Vol. 48. Springer, 479-492. -
- [28][28] Sunyoung Kim, Krzysztof Z. Gajos, Michael Muller, and Barbara J. Grosz. 2016. Acceptance of Mobile Technology by Older Adults: A Preliminary Study. In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services (Florence, Italy) (MobileHCI '16) . Association for Computing Machinery, New York, NY, USA, 147-157. https://doi.org/10.1145/2935334. 2935380 - · DOI
- [29][29] Rebecca Kleinberger, Alexandra Rieger, Janelle Sands, and Janet Baker. 2019. Supporting Elder Connectedness through Cognitively Sustainable Design Interactions with the Memory Music Box. In Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology (New Orleans, LA, USA) (UIST '19) . Association for Computing Machinery, New York, NY, USA, 355-369. https://doi.org/10.1145/3332165.3347877 - · DOI
- [31][31] Masatomo Kobayashi, Atsushi Hiyama, Takahiro Miura, Chieko Asakawa, Michitaka Hirose, and Tohru Ifukube. 2011. Elderly User Evaluation of Mobile Touchscreen Interactions. In Human-Computer Interaction - INTERACT 2011 , Pedro Campos, Nicholas Graham, Joaquim Jorge, Nuno Nunes, Philippe Palanque, and Marco Winckler (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 83-99. -
- [34][34] Siân E. Lindley, Richard Harper, and Abigail Sellen. 2009. Desiring to Be in Touch in a Changing Communications Landscape: Attitudes of Older Adults. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Boston, MA, USA) (CHI '09) . Association for Computing Machinery, New York, NY, USA, 1693-1702. https://doi.org/10.1145/1518701.1518962 - · DOI · Paper page
- [35][35] Siân E. Lindley, Richard Harper, and Abigail Sellen. 2009. Desiring to Be in Touch in a Changing Communications Landscape: Attitudes of Older Adults. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Boston, MA, USA) (CHI '09) . Association for Computing Machinery, New York, NY, USA, 1693-1702. https://doi.org/10.1145/1518701.1518962 - · DOI · Paper page
- [36][36] Tracy L Mitzner, Cara Bailey Fausset, Julie B Boron, Anne E Adams, Katinka Dijkstra, Chin Chin Lee, Wendy A Rogers, and Arthur D Fisk. 2008. Older adults' training preferences for learning to use technology. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting , Vol. 52. SAGE Publications Sage CA: Los Angeles, CA, 2047-2051. -
- [37][37] Hazwani Mohd Mohadisdudis and Nazlena Mohamad Ali. 2014. A study of smartphone usage and barriers among the elderly. In 2014 3rd International Conference on User Science and Engineering (i-USEr) . 109-114. https://doi.org/10.1109/IUSER.2014.7002686 - · DOI
- [38][38] Nkosikhona Msweli and Tendani Mawela. 2020. Enablers and Barriers for Mobile Commerce and Banking Services Among the Elderly in Developing Countries: A Systematic Review . 319-330. https://doi.org/10.1007/978-3-030-45002-1\_27 - · DOI
- [39][39] Carolyn Pang, Zhiqin Collin Wang, Joanna McGrenere, Rock Leung, Jiamin Dai, and Karyn Moffatt. 2021. Technology Adoption and Learning Preferences for Older Adults: Evolving Perceptions, Ongoing Challenges, and Emerging Design Opportunities . Association for Computing Machinery, New York, NY, USA. https://doi-org.lib.ezproxy.ust.hk/10.1145/3411764.3445702 - · DOI · Paper page
- [40][40] Natalie Pang, Samantha Vu, Xue Zhang, and Schubert Foo. 2015. Older Adults and the Appropriation and Disappropriation of Smartphones. In Human Aspects of IT for the Aged Population. Design for Aging , Jia Zhou and Gavriel Salvendy (Eds.), Vol. 9193. Springer International Publishing, Cham, 484-495. https://doi.org/10.1007/978-3-319-20892-3\_47 - · DOI
- [41][41] Suporn Pongnumkul, Mira Dontcheva, Wilmot Li, Jue Wang, Lubomir Bourdev, Shai Avidan, and Michael F. Cohen. 2011. Pause-and-Play: Automatically Linking Screencast Video Tutorials with Applications (UIST '11) . Association for Computing Machinery, New York, NY, USA, 135-144. https://doi.org/10.1145/2047196.2047213 - · DOI
- [42][42] Jorge Ribeiro and Ana Correia de Barros. 2014. Efficiency of a video and a tutorial in teaching older adults to interact with smartphones. In International Conference on Universal Access in Human-Computer Interaction . Springer, 34-45. -
- [43][43] André Rodrigues, Leonardo Camacho, Hugo Nicolau, Kyle Montague, and Tiago Guerreiro. 2018. Aidme: Interactive Non-Visual Smartphone Tutorials. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (Barcelona, Spain) (MobileHCI '18) . Association for Computing Machinery, New York, NY, USA, 205-212. https: //doi.org/10.1145/3236112.3236141 - · DOI
- [45][45] Alborz Rezazadeh Sereshkeh, Gary Leung, Krish Perumal, Caleb Phillips, Minfan Zhang, Afsaneh Fazly, and Iqbal Mohomed. 2020. VASTA: A Vision and Language-Assisted Smartphone Task Automation System. In Proceedings of the 25th International Conference on Intelligent User Interfaces (Cagliari, Italy) (IUI '20) . Association for Computing Machinery, New York, NY, USA, 22-32. https: //doi.org/10.1145/3377325.3377515 - · DOI
- [48][48] Eleftheria Vaportzis, Maria Giatsi Clausen, and Alan J Gow. 2017. Older adults perceptions of technology and barriers to interacting with tablet computers: a focus group study. Frontiers in psychology 8 (2017), 1687. -
- [49][49] Parjanya Vyas, Bhagyesh Patil, Shubham Singh, and Vinayak Naik. 2019. AppAmigo: An Efficient Middleware to Record and Control Remote Users' Interactions with Their Smartphone Apps. In Proceedings of the 12th Innovations on Software Engineering Conference (Formerly Known as India Software Engineering Conference) (Pune, India) (ISEC'19) . Association for Computing Machinery, New York, NY, USA, Article 10, 11 pages. https://doi.org/10.1145/3299771.3299780 - · DOI
- [50][50] Cheng-Yao Wang, Wei-Chen Chu, Hou-Ren Chen, Chun-Yen Hsu, and Mike Y. Chen. 2014. EverTutor: Automatically Creating Interactive Guided Tutorials on Smartphones by User Demonstration. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Toronto, Ontario, Canada) (CHI '14) . Association for Computing Machinery, New York, NY, USA, 4027-4036. https://doi.org/10.1145/2556288.2557407 - · DOI
- [51][51] Tom Yeh, Tsung-Hsiang Chang, and Robert C Miller. 2009. Sikuli: using GUI screenshots for search and automation. In Proceedings of the 22nd annual ACM symposium on User interface software and technology . 183-192. -
- [52][52] Tom Yeh, Tsung-Hsiang Chang, Bo Xie, Greg Walsh, Ivan Watkins, Krist Wongsuphasawat, Man Huang, Larry S Davis, and Benjamin B Bederson. 2011. Creating contextual help for GUIs using screenshots. In Proceedings of the 24th annual ACM symposium on User interface software and technology . 145-154. -
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Yu, J. E., Parde, N., & Chattopadhyay, D. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581447 · Cited by 22 · see citing works
- Authors
- Jin, X., Hu, X., Wei, X., & Fan, M.
- Affiliations
- Hong Kong University of Science and Technology (HK)
- Venue
- Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
- Published
- 2022-09-06
- Volume
- 6
- Issue
- 3
- Pages
- 1-24
- ISSN
- 2474-9567 (ISSN-L)
- OpenAlex
- W4294891731
- Cited by
- 37
- References
- 6
- Citations by year
- 2026: 10 · 2025: 7 · 2024: 14 · 2023: 5 · 2022: 1
- FWCI
- 11.26
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Social Sciences › Demography › Technology Use by Older Adults
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
- Keywords
- older adults, mobile app usability, interactive tutorials, trial-and-error learning, multimodal guidance, help-giving, user confidence, user motivation, synapses
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