ABSTRACT
Despite the need for representation of older adults in crowdsourced data, crowd work is generally not designed for older adults and participation by older adults is low. In this paper, we demonstrate a process for designing crowd work for older adults; identifying their needs, designing an approach to foster their participation, and verifying its effectiveness. We found when older people feel connected to others while doing crowd work, they are highly motivated. Furthermore, gamification is an effective tool for fostering their engagement when aligned with their needs and values, as opposed to the needs and values of younger participants. Lastly, we suggest important considerations and opportunities for designing crowd work approaches for senior citizens.
- Maximilian Altmeyer, Pascal Lessel and Antonio Krüger. 2018. Investigating gamification for seniors aged 75+. In Proceedings of the Proceedings of the 2018 Designing Interactive Systems Conference. 453--458.Google ScholarDigital Library
- Luke Barrington, Douglas Turnbull and Gert Lanckriet. 2012. Game-powered machine learning. Proceedings of the National Academy of Sciences 109, 17: 6411--6416.Google ScholarCross Ref
- Jomara Binda, Xiying Wang and John M Carroll. 2018. Recruiting Older Adults in the Wild: Reflections on Challenges and Lessons Learned from Research Experience. In Proceedings of the Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare. 290--293.Google ScholarDigital Library
- Robin Brewer, Meredith Ringel Morris and Anne Marie Piper. 2016. Why would anybody do this?: Understanding older adults' motivations and challenges in crowd work. In Proceedings of the Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 2246--2257.Google ScholarDigital Library
- Diana I Cordova and Mark R Lepper. 1996. Intrinsic motivation and the process of learning: Beneficial effects of contextualization, personalization, and choice. Journal of educational psychology 88, 4: 715.Google ScholarCross Ref
- Túlio Teixeira Cota, Lucila Ishitani and Niltom Vieira Jr. 2015. Mobile game design for the elderly: A study with focus on the motivation to play. Computers in Human Behavior 51: 96--105.Google ScholarDigital Library
- Gabriel Culbertson, Solace Shen, Erik Andersen and Malte Jung. 2017. Have your cake and eat it too: Foreign language learning with a crowdsourced video captioning system. In Proceedings of the Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. 286--296.Google ScholarDigital Library
- Bob De Schutter and Vero Vanden Abeele. 2008. Meaningful play in elderly life. In Proceedings of the Annual Meeting of the International Communication Association, Date: 2008/01/01--2008/01/01, Location: Montreal, Quebec, Canada.Google Scholar
- EBS Docuprime. 2019. 100 Years Shock: Part 3Becoming A Real Old Man of Old Rookies. Video. (May 8, 2019). Retrived Jan 2, 2020 from https://www.youtube.com/watch?v=oMBBKRwmIOI&featur e=youtu.beGoogle Scholar
- Jeongkyong Gong. March 28, 2019. Seniors going to kindergarten. LIFEIN. Retrived Jan 2, 2020 from http://www.lifein.news/news/articleView.html?idxno=3495Google Scholar
- Panagiotis G Ipeirotis. 2010. Demographics of mechanical turk.Google Scholar
- Ana Júdice, João Freitas, Daniela Braga, António Calado, Miguel Dias, António Teixeira and Catarina Oliveira. 2010. Elderly speech collection for speech recognition based on crowd sourcing. Proc. DSAI: 103--110.Google Scholar
- Dennis L Kappen, Lennart E Nacke, Kathrin M Gerling and Lia E Tsotsos. 2016. Design strategies for gamified physical activity applications for older adults. In Proceedings of the 2016 49th Hawaii International Conference on System Sciences (HICSS). 1309--1318.Google ScholarDigital Library
- Maurits Clemens Kaptein, Clifford Nass and Panos Markopoulos. 2010. Powerful and consistent analysis of likert-type rating scales. In Proceedings of the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 2391--2394.Google ScholarDigital Library
- Fares Kayali, Naemi Luckner, Oliver Hödl, Geraldine Fitzpatrick, Peter Purgathofer, Tanja Stamm, Daniela Schlager-Jaschky and Erika Mosor. 2013. Elements of play for cognitive, physical and social health in older adults. In Proceedings of the International Conference on Human Factors in Computing and Informatics. 296--313.Google ScholarCross Ref
- SunKyoung Kim and HW Lee. 2015. The effect of Hangul print size on reading speed of young and older adults in a computer environment. Korean Journal of Cognitive and Biological Psychology 27, 27: 367--384.Google ScholarCross Ref
- Aniket Kittur, Jeffrey V Nickerson, Michael Bernstein, Elizabeth Gerber, Aaron Shaw, John Zimmerman, Matt Lease and John Horton. 2013. The future of crowd work. In Proceedings of the Proceedings of the 2013 conference on Computer supported cooperative work. 1301--1318.Google ScholarDigital Library
- Masatomo Kobayashi, Shoma Arita, Toshinari Itoko, Shin Saito and Hironobu Takagi. 2015. Motivating multigenerational crowd workers in social-purpose work. In Proceedings of the Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing. 1813--1824.Google Scholar
- Genevieve L Lavigne, Nicolas Hauw, Robert J Vallerand, Philippe Brunel, Celine Blanchard, Isabelle Cadorette and Christophe Angot. 2009. On the dynamic relationships between contextual (or general) and situational (or state) motivation toward exercise and physical activity: A longitudinal test of the top-down and bottom-up hypotheses. International Journal of Sport and Exercise Psychology 7, 2: 147--168.Google ScholarCross Ref
- Eugène Loos. 2014. Designing meaningful intergenerational digital games. In Proceedings of the International Conference on Communication, Media, Technology and Design. 46--51.Google Scholar
- Jim Lumsden, Elizabeth A Edwards, Natalia S Lawrence, David Coyle and Marcus R Munafò. 2016. Gamification of cognitive assessment and cognitive training: A systematic review of applications and efficacy. JMIR serious games 4, 2: e11.Google Scholar
- Chu Yew Yee Sharon Lynn, Henry Been-Lirn Duh and Francis Quek. 2010. Investigating narrative in mobile games for seniors. In Proceedings of the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. 669--672.Google Scholar
- Mara Mather and Laura L Carstensen. 2003. Aging and attentional biases for emotional faces. Psychological science 14, 5: 409--415.Google Scholar
- Ian McGraw, Chia-ying Lee, I Lee Hetherington, Stephanie Seneff and James R Glass. 2010. Collecting Voices from the Cloud. In Proceedings of the LREC. 15761583.Google Scholar
- Radoslaw Nielek, Marta Lutosta'ska, Wieshaw Kopel and Adam Wierzbicki. 2017. Turned 70?: it is time to start editing Wikipedia. In Proceedings of the Proceedings of the International Conference on Web Intelligence. 899--906.Google ScholarDigital Library
- Gabriel Parent and Maxine Eskenazi. 2011. Speaking to the crowd: looking at past achievements in using crowdsourcing for speech and predicting future challenges. In Proceedings of the Twelfth Annual Conference of the International Speech Communication Association.Google ScholarCross Ref
- Mitchel Resnick, John Maloney, Andrés Monroy Hernández, Natalie Rusk, Evelyn Eastmond, Karen Brennan, Amon Millner, Eric Rosenbaum, Jay S Silver and Brian Silverman. 2009. Scratch: Programming for all. Commun. Acm 52, 11: 60--67.Google ScholarDigital Library
- Mohns Robert. 2016. What's the best font size for the web? Well, it depends?. Retrived Jan 2, 2020 from https://www.imarc.com/blog/best-font-size-for-any-deviceGoogle Scholar
- Kinga Skorupska, Manuel Núñez, Wieslaw Kopec and Radoslaw Nielek. 2018. Older Adults and Crowdsourcing: Android TV App for Evaluating TEDx Subtitle Quality. Proceedings of the ACM on Human-Computer Interaction 2, CSCW: 159.Google ScholarDigital Library
- Center for Self-Determination Theory. Intrinsic Motivation Inventory (IMI). Retrived Jan 2, 2020 from https://selfdeterminationtheory.org/intrinsic-motivationinventory/Google Scholar
- Doug Wightman. 2010. Crowdsourcing human-based computation. In Proceedings of the Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries. 551--560.Google ScholarDigital Library
Index Terms
- Designing a Crowdsourcing System for the Elderly: A Gamified Approach to Speech Collection
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