Integrating Artificial Intelligence as Assistive Technology for Older Adult Gamers: A Pilot Study
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866916785654071296 |
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| author | Zhang, Yichi Lyman, Brandon Pearce, Celia Kim, Miso Harteveld, Casper Chukoskie, Leanne De Schutter, Bob |
| author_facet | Zhang, Yichi Lyman, Brandon Pearce, Celia Kim, Miso Harteveld, Casper Chukoskie, Leanne De Schutter, Bob |
| contents | With respect to digital games, older adults are a demographic that is often underserved due to an industry-wide focus on younger audiences' preferences and skill sets. Meanwhile, as artificial intelligence (AI) continues to expand into everyday technologies, its assistive capabilities have been recognized, suggesting its potential in improving the gaming experience for older gamers. To study this potential, we iteratively developed a pilot survey aimed at understanding older adult gamers' current gameplay preference, challenges they are facing, and their perspectives of AI usage in gaming. This article contributes an overview of our iterative survey-design workflow, and pilot results from 39 participants. During each iteration, we analyzed the survey's efficacy and adjusted the content, language, and format to better capture meaningful data, and was able to create a refined survey for a larger, more representative future parent study. At the same time, preliminary findings suggest that for older adult gamers, usability issues in gaming remain key obstacles, while this demographic's perceptions of AI are shaped by both its practical benefits and concerns about autonomy and complexity. These findings also offer early insights for the design of age-inclusive, AI-supported gaming experiences. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_07830 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Integrating Artificial Intelligence as Assistive Technology for Older Adult Gamers: A Pilot Study Zhang, Yichi Lyman, Brandon Pearce, Celia Kim, Miso Harteveld, Casper Chukoskie, Leanne De Schutter, Bob Human-Computer Interaction With respect to digital games, older adults are a demographic that is often underserved due to an industry-wide focus on younger audiences' preferences and skill sets. Meanwhile, as artificial intelligence (AI) continues to expand into everyday technologies, its assistive capabilities have been recognized, suggesting its potential in improving the gaming experience for older gamers. To study this potential, we iteratively developed a pilot survey aimed at understanding older adult gamers' current gameplay preference, challenges they are facing, and their perspectives of AI usage in gaming. This article contributes an overview of our iterative survey-design workflow, and pilot results from 39 participants. During each iteration, we analyzed the survey's efficacy and adjusted the content, language, and format to better capture meaningful data, and was able to create a refined survey for a larger, more representative future parent study. At the same time, preliminary findings suggest that for older adult gamers, usability issues in gaming remain key obstacles, while this demographic's perceptions of AI are shaped by both its practical benefits and concerns about autonomy and complexity. These findings also offer early insights for the design of age-inclusive, AI-supported gaming experiences. |
| title | Integrating Artificial Intelligence as Assistive Technology for Older Adult Gamers: A Pilot Study |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2506.07830 |