{"date_updated":"2024-01-10T09:52:59Z","conference":{"name":"Hawaii International Conference on System Sciences"},"year":"2023","type":"conference","date_created":"2023-01-18T10:53:51Z","language":[{"iso":"eng"}],"_id":"37312","user_id":"51271","main_file_link":[{"url":"https://scholarspace.manoa.hawaii.edu/items/62b58ddc-895c-48c3-8194-522a1758a26f","open_access":"1"}],"status":"public","citation":{"apa":"Leffrang, D., Bösch, K., &#38; Müller, O. (2023). Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time. <i>Hawaii International Conference on System Sciences</i>. Hawaii International Conference on System Sciences.","short":"D. Leffrang, K. Bösch, O. Müller, in: Hawaii International Conference on System Sciences, 2023.","mla":"Leffrang, Dirk, et al. “Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time.” <i>Hawaii International Conference on System Sciences</i>, 2023.","ama":"Leffrang D, Bösch K, Müller O. Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time. In: <i>Hawaii International Conference on System Sciences</i>. ; 2023.","bibtex":"@inproceedings{Leffrang_Bösch_Müller_2023, title={Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time}, booktitle={Hawaii International Conference on System Sciences}, author={Leffrang, Dirk and Bösch, Kevin and Müller, Oliver}, year={2023} }","chicago":"Leffrang, Dirk, Kevin Bösch, and Oliver Müller. “Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time.” In <i>Hawaii International Conference on System Sciences</i>, 2023.","ieee":"D. Leffrang, K. Bösch, and O. Müller, “Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time,” presented at the Hawaii International Conference on System Sciences, 2023."},"author":[{"last_name":"Leffrang","id":"51271","full_name":"Leffrang, Dirk","orcid":"0000-0001-9004-2391","first_name":"Dirk"},{"last_name":"Bösch","full_name":"Bösch, Kevin","first_name":"Kevin"},{"last_name":"Müller","full_name":"Müller, Oliver","id":"72849","first_name":"Oliver"}],"keyword":["Algorithm aversion","Time series","Decision making","Advice taking","Forecasting"],"title":"Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time","publication":"Hawaii International Conference on System Sciences","abstract":[{"lang":"eng","text":"Optimal decision making requires appropriate evaluation of advice. Recent literature reports that algorithm aversion reduces the effectiveness of predictive algorithms. However, it remains unclear how people recover from bad advice given by an otherwise good advisor. Previous work has focused on algorithm aversion at a single time point. We extend this work by examining successive decisions in a time series forecasting task using an online between-subjects experiment (N = 87). Our empirical results do not confirm algorithm aversion immediately after bad advice. The estimated effect suggests an increasing algorithm appreciation over time. Our work extends the current knowledge on algorithm aversion with insights into how weight on advice is adjusted over consecutive tasks. Since most forecasting tasks are not one-off decisions, this also has implications for practitioners."}],"department":[{"_id":"196"}],"oa":"1"}